43 results on '"Norden, N."'
Search Results
2. Strong floristic distinctiveness across Neotropical successional forests
- Author
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Jakovac, C.C., Meave, J.A., Bongers, F., Letcher, S.G., Dupuy, J.M., Piotto, D., Rozendaal, D.M.A., Peña-Claros, M., Craven, D., Santos, B.A., Siminski, A., Fantini, A.C., Rodrigues, A.C., Hernández-Jaramillo, A., Idárraga, A., Junqueira, A.B., Zambrano, A.M.A., De Jong, B.H.J., Pinho, B.X., Finegan, B., Castellano-Castro, C., Zambiazi, D.C., Dent, D.H., García, D.H., Kennard, D., Delgado, D., Broadbent, E.N., Ortiz-Malavassi, E., Pérez-García, E.A., Lebrija-Trejos, E., Berenguer, E., Marín-Spiotta, E., Alvarez-Davila, E., De Sá Sampaio, E.V., Melo, F., Elias, F., França, F., Oberleitner, F., Mora, F., Williamson, G.B., Dalla Colletta, G., Cabral, G.A.L., Derroire, G., Fernandes, G.W., Van Der Wal, H., Teixeira, H.M., Vester, H.F.M., García, H., Vieira, I.C.G., Jiménez-Montoya, J., De Almeida-Cortez, J.S., Hall, J.S., Chave, J., Zimmerman, J.K., Nieto, J.E., Ferreira, J., Rodríguez-Velázquez, J., Ruíz, J., Barlow, J., Aguilar-Cano, J., Hernández-Stefanoni, J.L., Engel, J., Becknell, J.M., Zanini, K., Lohbeck, M., Tabarelli, M., Romero-Romero, M.A., Uriarte, M., Veloso, M.D.M., Espírito-Santo, M.M., Van Der Sande, M.T., Van Breugel, M., Martínez-Ramos, M., Schwartz, N.B., Norden, N., Pérez-Cárdenas, N., González-Valdivia, N., Petronelli, P., Balvanera, P., Massoca, P., Brancalion, P.H.S., Villa, P.M., Hietz, P., Ostertag, R., López-Camacho, R., César, R.G., Mesquita, R., Chazdon, R.L., Muñoz, R., DeWalt, S.J., Müller, S.C., Durán, S.M., Martins, S.V., Ochoa-Gaona, S., Rodríguez-Buritica, S., Aide, T.M., Bentos, T.V., Moreno, V.D.S., Granda, V., Thomas, W., Silver, W.L., Nunes, Y.R.F., Poorter, L., Jakovac, C.C., Meave, J.A., Bongers, F., Letcher, S.G., Dupuy, J.M., Piotto, D., Rozendaal, D.M.A., Peña-Claros, M., Craven, D., Santos, B.A., Siminski, A., Fantini, A.C., Rodrigues, A.C., Hernández-Jaramillo, A., Idárraga, A., Junqueira, A.B., Zambrano, A.M.A., De Jong, B.H.J., Pinho, B.X., Finegan, B., Castellano-Castro, C., Zambiazi, D.C., Dent, D.H., García, D.H., Kennard, D., Delgado, D., Broadbent, E.N., Ortiz-Malavassi, E., Pérez-García, E.A., Lebrija-Trejos, E., Berenguer, E., Marín-Spiotta, E., Alvarez-Davila, E., De Sá Sampaio, E.V., Melo, F., Elias, F., França, F., Oberleitner, F., Mora, F., Williamson, G.B., Dalla Colletta, G., Cabral, G.A.L., Derroire, G., Fernandes, G.W., Van Der Wal, H., Teixeira, H.M., Vester, H.F.M., García, H., Vieira, I.C.G., Jiménez-Montoya, J., De Almeida-Cortez, J.S., Hall, J.S., Chave, J., Zimmerman, J.K., Nieto, J.E., Ferreira, J., Rodríguez-Velázquez, J., Ruíz, J., Barlow, J., Aguilar-Cano, J., Hernández-Stefanoni, J.L., Engel, J., Becknell, J.M., Zanini, K., Lohbeck, M., Tabarelli, M., Romero-Romero, M.A., Uriarte, M., Veloso, M.D.M., Espírito-Santo, M.M., Van Der Sande, M.T., Van Breugel, M., Martínez-Ramos, M., Schwartz, N.B., Norden, N., Pérez-Cárdenas, N., González-Valdivia, N., Petronelli, P., Balvanera, P., Massoca, P., Brancalion, P.H.S., Villa, P.M., Hietz, P., Ostertag, R., López-Camacho, R., César, R.G., Mesquita, R., Chazdon, R.L., Muñoz, R., DeWalt, S.J., Müller, S.C., Durán, S.M., Martins, S.V., Ochoa-Gaona, S., Rodríguez-Buritica, S., Aide, T.M., Bentos, T.V., Moreno, V.D.S., Granda, V., Thomas, W., Silver, W.L., Nunes, Y.R.F., and Poorter, L.
- Abstract
Forests that regrow naturally on abandoned fields are important for restoring biodiversity and ecosystem services, but can they also preserve the distinct regional tree floras? Using the floristic composition of 1215 early successional forests (≤20 years) in 75 human-modified landscapes across the Neotropic realm, we identified 14 distinct floristic groups, with a between-group dissimilarity of 0.97. Floristic groups were associated with location, bioregions, soil pH, temperature seasonality, and water availability. Hence, there is large continental-scale variation in the species composition of early successional forests, which is mainly associated with biogeographic and environmental factors but not with human disturbance indicators. This floristic distinctiveness is partially driven by regionally restricted species belonging to widespread genera. Early secondary forests contribute therefore to restoring and conserving the distinctiveness of bioregions across the Neotropical realm, and forest restoration initiatives should use local species to assure that these distinct floras are maintained.
- Published
- 2022
3. Strong floristic distinctiveness across Neotropical successional forests
- Author
-
Environmental Sciences, Jakovac, C.C., Meave, J.A., Bongers, F., Letcher, S.G., Dupuy, J.M., Piotto, D., Rozendaal, D.M.A., Peña-Claros, M., Craven, D., Santos, B.A., Siminski, A., Fantini, A.C., Rodrigues, A.C., Hernández-Jaramillo, A., Idárraga, A., Junqueira, A.B., Zambrano, A.M.A., De Jong, B.H.J., Pinho, B.X., Finegan, B., Castellano-Castro, C., Zambiazi, D.C., Dent, D.H., García, D.H., Kennard, D., Delgado, D., Broadbent, E.N., Ortiz-Malavassi, E., Pérez-García, E.A., Lebrija-Trejos, E., Berenguer, E., Marín-Spiotta, E., Alvarez-Davila, E., De Sá Sampaio, E.V., Melo, F., Elias, F., França, F., Oberleitner, F., Mora, F., Williamson, G.B., Dalla Colletta, G., Cabral, G.A.L., Derroire, G., Fernandes, G.W., Van Der Wal, H., Teixeira, H.M., Vester, H.F.M., García, H., Vieira, I.C.G., Jiménez-Montoya, J., De Almeida-Cortez, J.S., Hall, J.S., Chave, J., Zimmerman, J.K., Nieto, J.E., Ferreira, J., Rodríguez-Velázquez, J., Ruíz, J., Barlow, J., Aguilar-Cano, J., Hernández-Stefanoni, J.L., Engel, J., Becknell, J.M., Zanini, K., Lohbeck, M., Tabarelli, M., Romero-Romero, M.A., Uriarte, M., Veloso, M.D.M., Espírito-Santo, M.M., Van Der Sande, M.T., Van Breugel, M., Martínez-Ramos, M., Schwartz, N.B., Norden, N., Pérez-Cárdenas, N., González-Valdivia, N., Petronelli, P., Balvanera, P., Massoca, P., Brancalion, P.H.S., Villa, P.M., Hietz, P., Ostertag, R., López-Camacho, R., César, R.G., Mesquita, R., Chazdon, R.L., Muñoz, R., DeWalt, S.J., Müller, S.C., Durán, S.M., Martins, S.V., Ochoa-Gaona, S., Rodríguez-Buritica, S., Aide, T.M., Bentos, T.V., Moreno, V.D.S., Granda, V., Thomas, W., Silver, W.L., Nunes, Y.R.F., Poorter, L., Environmental Sciences, Jakovac, C.C., Meave, J.A., Bongers, F., Letcher, S.G., Dupuy, J.M., Piotto, D., Rozendaal, D.M.A., Peña-Claros, M., Craven, D., Santos, B.A., Siminski, A., Fantini, A.C., Rodrigues, A.C., Hernández-Jaramillo, A., Idárraga, A., Junqueira, A.B., Zambrano, A.M.A., De Jong, B.H.J., Pinho, B.X., Finegan, B., Castellano-Castro, C., Zambiazi, D.C., Dent, D.H., García, D.H., Kennard, D., Delgado, D., Broadbent, E.N., Ortiz-Malavassi, E., Pérez-García, E.A., Lebrija-Trejos, E., Berenguer, E., Marín-Spiotta, E., Alvarez-Davila, E., De Sá Sampaio, E.V., Melo, F., Elias, F., França, F., Oberleitner, F., Mora, F., Williamson, G.B., Dalla Colletta, G., Cabral, G.A.L., Derroire, G., Fernandes, G.W., Van Der Wal, H., Teixeira, H.M., Vester, H.F.M., García, H., Vieira, I.C.G., Jiménez-Montoya, J., De Almeida-Cortez, J.S., Hall, J.S., Chave, J., Zimmerman, J.K., Nieto, J.E., Ferreira, J., Rodríguez-Velázquez, J., Ruíz, J., Barlow, J., Aguilar-Cano, J., Hernández-Stefanoni, J.L., Engel, J., Becknell, J.M., Zanini, K., Lohbeck, M., Tabarelli, M., Romero-Romero, M.A., Uriarte, M., Veloso, M.D.M., Espírito-Santo, M.M., Van Der Sande, M.T., Van Breugel, M., Martínez-Ramos, M., Schwartz, N.B., Norden, N., Pérez-Cárdenas, N., González-Valdivia, N., Petronelli, P., Balvanera, P., Massoca, P., Brancalion, P.H.S., Villa, P.M., Hietz, P., Ostertag, R., López-Camacho, R., César, R.G., Mesquita, R., Chazdon, R.L., Muñoz, R., DeWalt, S.J., Müller, S.C., Durán, S.M., Martins, S.V., Ochoa-Gaona, S., Rodríguez-Buritica, S., Aide, T.M., Bentos, T.V., Moreno, V.D.S., Granda, V., Thomas, W., Silver, W.L., Nunes, Y.R.F., and Poorter, L.
- Published
- 2022
4. Multidimensional tropical forest recovery
- Author
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Poorter, L., Craven, D., Jakovac, C.C., van der Sande, M.T., Amissah, L., Bongers, F., Chazdon, R.L., Farrior, C.E., Kambach, S., Meave, J.A., Muñoz, R., Norden, N., Rüger, N., van Breugel, M., Zambrano, A.M.A., Amani, B., Andrade, J.L., Brancalion, P.H.S., Broadbent, E.N., de Foresta, H., Dent, D.H., Derroire, G., DeWalt, S.J., Dupuy, J.M., Durán, S.M., Fantini, A.C., Finegan, B., Hernández-Jaramillo, A., Hernández-Stefanoni, J.L., Hietz, P., Junqueira, A.B., N’dja, J.K., Letcher, S.G., Lohbeck, M., López-Camacho, R., Martínez-Ramos, M., Melo, F.P.L., Mora, F., Müller, S.C., N’Guessan, A.E., Oberleitner, F., Ortiz-Malavassi, E., Pérez-García, E.A., Pinho, B.X., Piotto, D., Powers, J.S., Rodríguez-Buriticá, S., Rozendaal, D.M.A., Ruíz, J., Tabarelli, M., Teixeira, H.M., de Sá Barretto Sampaio, E.V., van der Wal, H., Villa, P.M., Fernandes, G.W., Santos, B.A., Aguilar-Cano, J., de Almeida-Cortez, J.S., Alvarez-Davila, E., Arreola-Villa, F., Balvanera, P., Becknell, J.M., Cabral, G.A.L., Castellanos-Castro, C., de Jong, B.H.J., Nieto, J.E., Espírito-Santo, M.M., Fandino, M.C., García, H., García-Villalobos, D., Hall, J.S., Idárraga, A., Jiménez-Montoya, J., Kennard, D., Marín-Spiotta, E., Mesquita, R., Nunes, Y.R.F., Ochoa-Gaona, S., Peña-Claros, M., Pérez-Cárdenas, N., Rodríguez-Velázquez, J., Villanueva, L.S., Schwartz, N.B., Steininger, M.K., Veloso, M.D.M., Vester, H.F.M., Vieira, I.C.G., Williamson, G.B., Zanini, K., Hérault, B., Environmental Sciences, Environmental Sciences, Wageningen University and Research [Wageningen] (WUR), Universidad Mayor [Santiago de Chile], Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), CSIR- Forestry Research Institute of Ghana, Tree Improvement and seed Technology Division, UST, University of Connecticut (UCONN), University of Texas at Austin [Austin], German Centre for Integrative Biodiversity Research (iDiv), Universidad Nacional Autónoma de México (UNAM), Instituto Vasco de Investigación de Recursos Biológicos Alexander von Humboldt, Universität Leipzig [Leipzig], Smithsonian Tropical Research Institute, University of Florida [Gainesville] (UF), Université Jean Lorougnon Guédé (UJloG ), University of São Paulo (USP), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Institut national polytechnique Félix Houphouët-Boigny, and Institut National Polytechnique Félix Houphouët-Boigny
- Subjects
0106 biological sciences ,Reconstitution forestière ,010504 meteorology & atmospheric sciences ,forêt tropicale ,[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy ,010603 evolutionary biology ,01 natural sciences ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Tropical forest ,K01 - Foresterie - Considérations générales ,Life Science ,Bosecologie en Bosbeheer ,K70 - Dégâts causés aux forêts et leur protection ,Deforestation ,0105 earth and related environmental sciences ,Multidisciplinary ,Resilience ,Farm Systems Ecology Group ,Réhabilitation des forêts ,15. Life on land ,South America ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,PE&RC ,Forest Ecology and Forest Management ,Plant Production Systems ,13. Climate action ,Plantaardige Productiesystemen ,Africa ,P01 - Conservation de la nature et ressources foncières ,Secondary forests ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Crop and Weed Ecology ,Restauration du paysage forestier ,Zone tropicale - Abstract
International audience; Tropical forests disappear rapidly because of deforestation, yet they have the potential to regrow naturally on abandoned lands. We analyze how 12 forest attributes recover during secondary succession and how their recovery is interrelated using 77 sites across the tropics. Tropical forests are highly resilient to low-intensity land use; after 20 years, forest attributes attain 78% (33 to 100%) of their old-growth values. Recovery to 90% of old-growth values is fastest for soil (12 decades). Network analysis shows three independent clusters of attribute recovery, related to structure, species diversity, and species composition. Secondary forests should be embraced as a low-cost, natural solution for ecosystem restoration, climate change mitigation, and biodiversity conservation.
- Published
- 2021
5. The Boy Choir Fad
- Author
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Norden, N. Lindsay
- Published
- 1917
6. A Plea for Pure Church Music
- Author
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Norden, N. Lindsay
- Published
- 1918
7. A Brief Study of the Russian Liturgy and Its Music
- Author
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Norden, N. Lindsay
- Published
- 1919
8. A New Theory of Untempered Music: A Few Important Features with Special Reference to "A Cappella" Music
- Author
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Norden, N. Lindsay
- Published
- 1936
9. Multidimensional tropical forest recovery
- Author
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Environmental Sciences, Poorter, L., Craven, D., Jakovac, C.C., van der Sande, M.T., Amissah, L., Bongers, F., Chazdon, R.L., Farrior, C.E., Kambach, S., Meave, J.A., Muñoz, R., Norden, N., Rüger, N., van Breugel, M., Zambrano, A.M.A., Amani, B., Andrade, J.L., Brancalion, P.H.S., Broadbent, E.N., de Foresta, H., Dent, D.H., Derroire, G., DeWalt, S.J., Dupuy, J.M., Durán, S.M., Fantini, A.C., Finegan, B., Hernández-Jaramillo, A., Hernández-Stefanoni, J.L., Hietz, P., Junqueira, A.B., N’dja, J.K., Letcher, S.G., Lohbeck, M., López-Camacho, R., Martínez-Ramos, M., Melo, F.P.L., Mora, F., Müller, S.C., N’Guessan, A.E., Oberleitner, F., Ortiz-Malavassi, E., Pérez-García, E.A., Pinho, B.X., Piotto, D., Powers, J.S., Rodríguez-Buriticá, S., Rozendaal, D.M.A., Ruíz, J., Tabarelli, M., Teixeira, H.M., de Sá Barretto Sampaio, E.V., van der Wal, H., Villa, P.M., Fernandes, G.W., Santos, B.A., Aguilar-Cano, J., de Almeida-Cortez, J.S., Alvarez-Davila, E., Arreola-Villa, F., Balvanera, P., Becknell, J.M., Cabral, G.A.L., Castellanos-Castro, C., de Jong, B.H.J., Nieto, J.E., Espírito-Santo, M.M., Fandino, M.C., García, H., García-Villalobos, D., Hall, J.S., Idárraga, A., Jiménez-Montoya, J., Kennard, D., Marín-Spiotta, E., Mesquita, R., Nunes, Y.R.F., Ochoa-Gaona, S., Peña-Claros, M., Pérez-Cárdenas, N., Rodríguez-Velázquez, J., Villanueva, L.S., Schwartz, N.B., Steininger, M.K., Veloso, M.D.M., Vester, H.F.M., Vieira, I.C.G., Williamson, G.B., Zanini, K., Hérault, B., Environmental Sciences, Poorter, L., Craven, D., Jakovac, C.C., van der Sande, M.T., Amissah, L., Bongers, F., Chazdon, R.L., Farrior, C.E., Kambach, S., Meave, J.A., Muñoz, R., Norden, N., Rüger, N., van Breugel, M., Zambrano, A.M.A., Amani, B., Andrade, J.L., Brancalion, P.H.S., Broadbent, E.N., de Foresta, H., Dent, D.H., Derroire, G., DeWalt, S.J., Dupuy, J.M., Durán, S.M., Fantini, A.C., Finegan, B., Hernández-Jaramillo, A., Hernández-Stefanoni, J.L., Hietz, P., Junqueira, A.B., N’dja, J.K., Letcher, S.G., Lohbeck, M., López-Camacho, R., Martínez-Ramos, M., Melo, F.P.L., Mora, F., Müller, S.C., N’Guessan, A.E., Oberleitner, F., Ortiz-Malavassi, E., Pérez-García, E.A., Pinho, B.X., Piotto, D., Powers, J.S., Rodríguez-Buriticá, S., Rozendaal, D.M.A., Ruíz, J., Tabarelli, M., Teixeira, H.M., de Sá Barretto Sampaio, E.V., van der Wal, H., Villa, P.M., Fernandes, G.W., Santos, B.A., Aguilar-Cano, J., de Almeida-Cortez, J.S., Alvarez-Davila, E., Arreola-Villa, F., Balvanera, P., Becknell, J.M., Cabral, G.A.L., Castellanos-Castro, C., de Jong, B.H.J., Nieto, J.E., Espírito-Santo, M.M., Fandino, M.C., García, H., García-Villalobos, D., Hall, J.S., Idárraga, A., Jiménez-Montoya, J., Kennard, D., Marín-Spiotta, E., Mesquita, R., Nunes, Y.R.F., Ochoa-Gaona, S., Peña-Claros, M., Pérez-Cárdenas, N., Rodríguez-Velázquez, J., Villanueva, L.S., Schwartz, N.B., Steininger, M.K., Veloso, M.D.M., Vester, H.F.M., Vieira, I.C.G., Williamson, G.B., Zanini, K., and Hérault, B.
- Published
- 2021
10. Payoff dominance vs. cognitive transparency in decision making
- Author
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Irwin, Julie R., McClelland, Gary H., McKee, Michael, Schulze, William D., and Norden, N. Elizabeth
- Subjects
Markets (Economics) -- Research -- Economic aspects ,Decision-making -- Economic aspects -- Research ,Business, general ,Economics ,Economic aspects ,Research - Abstract
This paper reports on three laboratory experiments designed to investigate the roles of decision costs and rewards on the accuracy of economic decisions. The experimental vehicle is a purchase decision employing the Becker-DeGroot-Marshak (BDM) mechanism. The first experiment verifies the incentive-compatibility of the BDM in a pure induced-value setting; the second tests its performance under different information regimes and payoff schedules; the third addresses the role of feedback information. Steep payoff schedules are found to be necessary to optimizing behavior only in cases where subjects must search out an optimal strategy rather than being able to deduce it from information provided., I. INTRODUCTION There is a general question about how well laboratory markets work in eliciting true preferences given the low opportunity costs of making errors as in Harrison [1989]. Vernon [...]
- Published
- 1998
11. BioTIME : a database of biodiversity time series for the Anthropocene [data paper]
- Author
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Dornelas, M., Antao, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Baessler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Blazewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castaneda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Crow, S. K., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Farah, F. T., Fernandes, L. L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Franco, G. A. C., Frank, G. E., Fraser, W. R., Garcia, H., Gatti, R. C., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierrez, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Ivanauskas, N. M., Janik, D., Jandt, U., Jazdzewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Kral, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Lee, C., Lefcheck, J. S., Levesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., Lopez-Baucells, A., Louzao, M., Madin, J. S., Magnusson, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Moreira, C. M., Mueller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., and Pélissier, Raphaël
- Subjects
spatial ,temporal ,turnover ,species richness ,global ,biodiversity - Abstract
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km(2) (158 cm(2)) to 100 km(2) (1,000,000,000,000 cm(2)). Time period and grainBio: TIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.
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- 2018
12. BioTIME: a database of biodiversity time series for the Anthropocene
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Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, Hickler, T, Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, and Hickler, T
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- 2018
13. BioTIME:a database of biodiversity time series for the Anthropocene
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Dornelas, M. (Maria), Antao, L. H. (Laura H.), Moyes, F. (Faye), Bates, A. E. (Amanda E.), Magurran, A. E. (Anne E.), Adam, D. (Dusan), Akhmetzhanova, A. A. (Asem A.), Appeltans, W. (Ward), Arcos, J. M. (Jose Manuel), Arnold, H. (Haley), Ayyappan, N. (Narayanan), Badihi, G. (Gal), Baird, A. H. (Andrew H.), Barbosa, M. (Miguel), Barreto, T. E. (Tiago Egydio), Baessler, C. (Claus), Bellgrove, A. (Alecia), Belmaker, J. (Jonathan), Benedetti-Cecchi, L. (Lisandro), Bett, B. J. (Brian J.), Bjorkman, A. D. (Anne D.), Blazewicz, M. (Magdalena), Blowes, S. A. (Shane A.), Bloch, C. P. (Christopher P.), Bonebrake, T. C. (Timothy C.), Boyd, S. (Susan), Bradford, M. (Matt), Brooks, A. J. (Andrew J.), Brown, J. H. (James H.), Bruelheide, H. (Helge), Budy, P. (Phaedra), Carvalho, F. (Fernando), Castaneda-Moya, E. (Edward), Chen, C. A. (Chaolun Allen), Chamblee, J. F. (John F.), Chase, T. J. (Tory J.), Siegwart Collier, L. (Laura), Collinge, S. K. (Sharon K.), Condit, R. (Richard), Cooper, E. J. (Elisabeth J.), Cornelissen, J. H. (J. Hans C.), Cotano, U. (Unai), Crow, S. K. (Shannan Kyle), Damasceno, G. (Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. (Gary), Henshaw, D. L. (Donald L.), Hermanutz, L. (Luise), Hidalgo, P. (Pamela), Higuchi, P. (Pedro), Hoey, A. (Andrew), Van Hoey, G. (Gert), Hofgaard, A. (Annika), Holeck, K. (Kristen), Hollister, R. D. (Robert D.), Holmes, R. (Richard), Hoogenboom, M. (Mia), Hsieh, C.-h. (Chih-hao), Hubbell, S. P. (Stephen P.), Huettmann, F. (Falk), Huffard, C. L. (Christine L.), Hurlbert, A. H. (Allen H.), Ivanauskas, N. M. (Natalia Macedo), Janik, D. (David), Jandt, U. (Ute), Jazdzewska, A. (Anna), Johannessen, T. (Tore), Johnstone, J. (Jill), Jones, J. (Julia), Jones, F. A. (Faith A. M.), Kang, J. (Jungwon), Kartawijaya, T. (Tasrif), Keeley, E. C. (Erin C.), Kelt, D. A. (Douglas A.), Kinnear, R. (Rebecca), Klanderud, K. (Kari), Knutsen, H. (Halvor), Koenig, C. C. (Christopher C.), Kortz, A. R. (Alessandra R.), Kral, K. (Kamil), Kuhnz, L. A. (Linda A.), Kuo, C.-Y. (Chao-Yang), Kushner, D. J. (David J.), Laguionie-Marchais, C. (Claire), Lancaster, L. T. (Lesley T.), Min Lee, C. (Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. (Robert J.), Paquette, A. (Alain), Pardede, S. (Sinta), Paterson, D. M. (David M.), Pelissier, R. (Raphael), Penuelas, J. (Josep), Perez-Matus, A. (Alejandro), Pizarro, O. (Oscar), Pomati, F. (Francesco), Post, E. (Eric), Prins, H. H. (Herbert H. T.), Priscu, J. C. (John C.), Provoost, P. (Pieter), Prudic, K. L. (Kathleen L.), Erkki, P. (Pulliainen), Ramesh, B. R. (B. R.), Mendivil Ramos, O. (Olivia), Rassweiler, A. (Andrew), Rebelo, J. E. (Jose Eduardo), Reed, D. C. (Daniel C.), Reich, P. B. (Peter B.), Remillard, S. M. (Suzanne M.), Richardson, A. J. (Anthony J.), Richardson, J. P. (J. Paul), van Rijn, I. (Itai), Rocha, R. (Ricardo), Rivera-Monroy, V. H. (Victor H.), Rixen, C. (Christian), Robinson, K. P. (Kevin P.), Rodrigues, R. R. (Ricardo Ribeiro), Rossa-Feres, D. d. (Denise de Cerqueira), Rudstam, L. (Lars), Ruhl, H. (Henry), Ruz, C. S. (Catalina S.), Sampaio, E. M. (Erica M.), Rybicki, N. (Nancy), Rypel, A. (Andrew), Sal, S. (Sofia), Salgado, B. (Beatriz), Santos, F. A. (Flavio A. M.), Savassi-Coutinho, A. P. (Ana Paula), Scanga, S. (Sara), Schmidt, J. (Jochen), Schooley, R. (Robert), Setiawan, F. (Fakhrizal), Shao, K.-T. (Kwang-Tsao), Shaver, G. R. (Gaius R.), Sherman, S. (Sally), Sherry, T. W. (Thomas W.), Sicinski, J. (Jacek), Sievers, C. (Caya), da Silva, A. C. (Ana Carolina), da Silva, F. R. (Fernando Rodrigues), Silveira, F. L. (Fabio L.), Slingsby, J. (Jasper), Smart, T. (Tracey), Snell, S. J. (Sara J.), Soudzilovskaia, N. A. (Nadejda A.), Souza, G. B. (Gabriel B. G.), Souza, F. M. (Flaviana Maluf), Souza, V. C. (Vinicius Castro), Stallings, C. D. (Christopher D.), Stanforth, R. (Rowan), Stanley, E. H. (Emily H.), Sterza, J. M. (Jose Mauro), Stevens, M. (Maarten), Stuart-Smith, R. (Rick), Rondon Suarez, Y. (Yzel), Supp, S. (Sarah), Yoshio Tamashiro, J. (Jorge), Tarigan, S. (Sukmaraharja), Thiede, G. P. (Gary P.), Thorn, S. (Simon), Tolvanen, A. (Anne), Zugliani Toniato, M. T. (Maria Teresa), Totland, O. (Orjan), Twilley, R. R. (Robert R.), Vaitkus, G. (Gediminas), Valdivia, N. (Nelson), Vallejo, M. I. (Martha Isabel), Valone, T. J. (Thomas J.), Van Colen, C. (Carl), Vanaverbeke, J. (Jan), Venturoli, F. (Fabio), Verheye, H. M. (Hans M.), Vianna, M. (Marcelo), Vieira, R. P. (Rui P.), Vrska, T. (Tomas), Vu, C. Q. (Con Quang), Vu, L. V. (Lien Van), Waide, R. B. (Robert B.), Waldock, C. (Conor), Watts, D. (Dave), Webb, S. (Sara), Wesolowski, T. (Tomasz), White, E. P. (Ethan P.), Widdicombe, C. E. (Claire E.), Wilgers, D. (Dustin), Williams, R. (Richard), Williams, S. B. (Stefan B.), Williamson, M. (Mark), Willig, M. R. (Michael R.), Willis, T. J. (Trevor J.), Wipf, S. (Sonja), Woods, K. D. (Kerry D.), Woehler, E. J. (Eric J.), Zawada, K. (Kyle), Zettler, M. L. (Michael L.), Dornelas, M. (Maria), Antao, L. H. (Laura H.), Moyes, F. (Faye), Bates, A. E. (Amanda E.), Magurran, A. E. (Anne E.), Adam, D. (Dusan), Akhmetzhanova, A. A. (Asem A.), Appeltans, W. (Ward), Arcos, J. M. (Jose Manuel), Arnold, H. (Haley), Ayyappan, N. (Narayanan), Badihi, G. (Gal), Baird, A. H. (Andrew H.), Barbosa, M. (Miguel), Barreto, T. E. (Tiago Egydio), Baessler, C. (Claus), Bellgrove, A. (Alecia), Belmaker, J. (Jonathan), Benedetti-Cecchi, L. (Lisandro), Bett, B. J. (Brian J.), Bjorkman, A. D. (Anne D.), Blazewicz, M. (Magdalena), Blowes, S. A. (Shane A.), Bloch, C. P. (Christopher P.), Bonebrake, T. C. (Timothy C.), Boyd, S. (Susan), Bradford, M. (Matt), Brooks, A. J. (Andrew J.), Brown, J. H. (James H.), Bruelheide, H. (Helge), Budy, P. (Phaedra), Carvalho, F. (Fernando), Castaneda-Moya, E. (Edward), Chen, C. A. (Chaolun Allen), Chamblee, J. F. (John F.), Chase, T. J. (Tory J.), Siegwart Collier, L. (Laura), Collinge, S. K. (Sharon K.), Condit, R. (Richard), Cooper, E. J. (Elisabeth J.), Cornelissen, J. H. (J. Hans C.), Cotano, U. (Unai), Crow, S. K. (Shannan Kyle), Damasceno, G. (Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. (Gary), Henshaw, D. L. (Donald L.), Hermanutz, L. (Luise), Hidalgo, P. (Pamela), Higuchi, P. (Pedro), Hoey, A. (Andrew), Van Hoey, G. (Gert), Hofgaard, A. (Annika), Holeck, K. (Kristen), Hollister, R. D. (Robert D.), Holmes, R. (Richard), Hoogenboom, M. (Mia), Hsieh, C.-h. (Chih-hao), Hubbell, S. P. (Stephen P.), Huettmann, F. (Falk), Huffard, C. L. (Christine L.), Hurlbert, A. H. (Allen H.), Ivanauskas, N. M. (Natalia Macedo), Janik, D. (David), Jandt, U. (Ute), Jazdzewska, A. (Anna), Johannessen, T. (Tore), Johnstone, J. (Jill), Jones, J. (Julia), Jones, F. A. (Faith A. M.), Kang, J. (Jungwon), Kartawijaya, T. (Tasrif), Keeley, E. C. (Erin C.), Kelt, D. A. (Douglas A.), Kinnear, R. (Rebecca), Klanderud, K. (Kari), Knutsen, H. (Halvor), Koenig, C. C. (Christopher C.), Kortz, A. R. (Alessandra R.), Kral, K. (Kamil), Kuhnz, L. A. (Linda A.), Kuo, C.-Y. (Chao-Yang), Kushner, D. J. (David J.), Laguionie-Marchais, C. (Claire), Lancaster, L. T. (Lesley T.), Min Lee, C. (Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. (Robert J.), Paquette, A. (Alain), Pardede, S. (Sinta), Paterson, D. M. (David M.), Pelissier, R. (Raphael), Penuelas, J. (Josep), Perez-Matus, A. (Alejandro), Pizarro, O. (Oscar), Pomati, F. (Francesco), Post, E. (Eric), Prins, H. H. (Herbert H. T.), Priscu, J. C. (John C.), Provoost, P. (Pieter), Prudic, K. L. (Kathleen L.), Erkki, P. (Pulliainen), Ramesh, B. R. (B. R.), Mendivil Ramos, O. (Olivia), Rassweiler, A. (Andrew), Rebelo, J. E. (Jose Eduardo), Reed, D. C. (Daniel C.), Reich, P. B. (Peter B.), Remillard, S. M. (Suzanne M.), Richardson, A. J. (Anthony J.), Richardson, J. P. (J. Paul), van Rijn, I. (Itai), Rocha, R. (Ricardo), Rivera-Monroy, V. H. (Victor H.), Rixen, C. (Christian), Robinson, K. P. (Kevin P.), Rodrigues, R. R. (Ricardo Ribeiro), Rossa-Feres, D. d. (Denise de Cerqueira), Rudstam, L. (Lars), Ruhl, H. (Henry), Ruz, C. S. (Catalina S.), Sampaio, E. M. (Erica M.), Rybicki, N. (Nancy), Rypel, A. (Andrew), Sal, S. (Sofia), Salgado, B. (Beatriz), Santos, F. A. (Flavio A. M.), Savassi-Coutinho, A. P. (Ana Paula), Scanga, S. (Sara), Schmidt, J. (Jochen), Schooley, R. (Robert), Setiawan, F. (Fakhrizal), Shao, K.-T. (Kwang-Tsao), Shaver, G. R. (Gaius R.), Sherman, S. (Sally), Sherry, T. W. (Thomas W.), Sicinski, J. (Jacek), Sievers, C. (Caya), da Silva, A. C. (Ana Carolina), da Silva, F. R. (Fernando Rodrigues), Silveira, F. L. (Fabio L.), Slingsby, J. (Jasper), Smart, T. (Tracey), Snell, S. J. (Sara J.), Soudzilovskaia, N. A. (Nadejda A.), Souza, G. B. (Gabriel B. G.), Souza, F. M. (Flaviana Maluf), Souza, V. C. (Vinicius Castro), Stallings, C. D. (Christopher D.), Stanforth, R. (Rowan), Stanley, E. H. (Emily H.), Sterza, J. M. (Jose Mauro), Stevens, M. (Maarten), Stuart-Smith, R. (Rick), Rondon Suarez, Y. (Yzel), Supp, S. (Sarah), Yoshio Tamashiro, J. (Jorge), Tarigan, S. (Sukmaraharja), Thiede, G. P. (Gary P.), Thorn, S. (Simon), Tolvanen, A. (Anne), Zugliani Toniato, M. T. (Maria Teresa), Totland, O. (Orjan), Twilley, R. R. (Robert R.), Vaitkus, G. (Gediminas), Valdivia, N. (Nelson), Vallejo, M. I. (Martha Isabel), Valone, T. J. (Thomas J.), Van Colen, C. (Carl), Vanaverbeke, J. (Jan), Venturoli, F. (Fabio), Verheye, H. M. (Hans M.), Vianna, M. (Marcelo), Vieira, R. P. (Rui P.), Vrska, T. (Tomas), Vu, C. Q. (Con Quang), Vu, L. V. (Lien Van), Waide, R. B. (Robert B.), Waldock, C. (Conor), Watts, D. (Dave), Webb, S. (Sara), Wesolowski, T. (Tomasz), White, E. P. (Ethan P.), Widdicombe, C. E. (Claire E.), Wilgers, D. (Dustin), Williams, R. (Richard), Williams, S. B. (Stefan B.), Williamson, M. (Mark), Willig, M. R. (Michael R.), Willis, T. J. (Trevor J.), Wipf, S. (Sonja), Woods, K. D. (Kerry D.), Woehler, E. J. (Eric J.), Zawada, K. (Kyle), and Zettler, M. L. (Michael L.)
- Abstract
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km² (158 cm²) to 100 km² (1,000,000,000,000 cm²). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL.
- Published
- 2018
14. BioTIME: A database of biodiversity time series for the Anthropocene
- Author
-
Dornelas, M., Antão, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Bässler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Błażewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castañeda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Siegwart Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Kyle Crow, S., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Turini Farah, F., Loureiro Fernandes, L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Daher Correa Franco, G. A., Frank, G. E., Fraser, W. R., García, H., Cazzolla Gatti, R., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierréz, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Van Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Macedo Ivanauskas, N., Janík, D., Jandt, U., Jażdżewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, E. C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Král, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Min Lee, C., Lefcheck, J. S., Lévesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., López-Baucells, A., Louzao, M., Madin, J. S., Magnússon, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Mathias Moreira, C., Müller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Paul Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., Pélissier, R., Peñuelas, J., Pérez-Matus, A., Pizarro, O., Pomati, F., Post, E., Prins, H. H. T., Priscu, J. C., Provoost, P., Prudic, K. L., Pulliainen, E., Ramesh, B. R., Mendivil Ramos, O., Rassweiler, A., Rebelo, J. E., Reed, D. C., Reich, P. B., Remillard, S. M., Richardson, A. J., Richardson, J. P., van Rijn, I., Rocha, R., Rivera-Monroy, V. H., Rixen, C., Robinson, K. P., Ribeiro Rodrigues, R., de Cerqueira Rossa-Feres, D., Rudstam, L., Ruhl, H., Ruz, C. S., Sampaio, E. M., Rybicki, N., Rypel, A., Sal, S., Salgado, B., Santos, F. A. M., Savassi-Coutinho, A. P., Scanga, S., Schmidt, J., Schooley, R., Setiawan, F., Shao, K. T., Shaver, G. R., Sherman, S., Sherry, T. W., Siciński, J., Sievers, C., da Silva, A. C., Rodrigues da Silva, F., Silveira, F. L., Slingsby, J., Smart, T., Snell, S. J., Soudzilovskaia, N. A., Souza, G. B. G., Maluf Souza, F., Castro Souza, V., Stallings, C. D., Stanforth, R., Stanley, E. H., Mauro Sterza, J., Stevens, M., Stuart-Smith, R., Rondon Suarez, Y., Supp, S., Yoshio Tamashiro, J., Tarigan, S., Thiede, G. P., Thorn, S., Tolvanen, A., Teresa Zugliani Toniato, M., Totland, Ø, Twilley, R. R., Vaitkus, G., Valdivia, N., Vallejo, M. I., Valone, T. J., Van Colen, C., Vanaverbeke, J., Venturoli, F., Verheye, H. M., Vianna, M., Vieira, R. P., Vrška, T., Quang Vu, C., Van Vu, L., Waide, R. B., Waldock, C., Watts, D., Webb, S., Wesołowski, T., White, E. P., Widdicombe, C. E., Wilgers, D., Williams, R., Williams, S. B., Williamson, M., Willig, M. R., Willis, T. J., Wipf, S., Woods, K. D., Woehler, E. J., Zawada, K., Zettler, M. L., Dornelas, M., Antão, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Bässler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Błażewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castañeda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Siegwart Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Kyle Crow, S., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Turini Farah, F., Loureiro Fernandes, L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Daher Correa Franco, G. A., Frank, G. E., Fraser, W. R., García, H., Cazzolla Gatti, R., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierréz, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Van Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Macedo Ivanauskas, N., Janík, D., Jandt, U., Jażdżewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, E. C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Král, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Min Lee, C., Lefcheck, J. S., Lévesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., López-Baucells, A., Louzao, M., Madin, J. S., Magnússon, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Mathias Moreira, C., Müller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Paul Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., Pélissier, R., Peñuelas, J., Pérez-Matus, A., Pizarro, O., Pomati, F., Post, E., Prins, H. H. T., Priscu, J. C., Provoost, P., Prudic, K. L., Pulliainen, E., Ramesh, B. R., Mendivil Ramos, O., Rassweiler, A., Rebelo, J. E., Reed, D. C., Reich, P. B., Remillard, S. M., Richardson, A. J., Richardson, J. P., van Rijn, I., Rocha, R., Rivera-Monroy, V. H., Rixen, C., Robinson, K. P., Ribeiro Rodrigues, R., de Cerqueira Rossa-Feres, D., Rudstam, L., Ruhl, H., Ruz, C. S., Sampaio, E. M., Rybicki, N., Rypel, A., Sal, S., Salgado, B., Santos, F. A. M., Savassi-Coutinho, A. P., Scanga, S., Schmidt, J., Schooley, R., Setiawan, F., Shao, K. T., Shaver, G. R., Sherman, S., Sherry, T. W., Siciński, J., Sievers, C., da Silva, A. C., Rodrigues da Silva, F., Silveira, F. L., Slingsby, J., Smart, T., Snell, S. J., Soudzilovskaia, N. A., Souza, G. B. G., Maluf Souza, F., Castro Souza, V., Stallings, C. D., Stanforth, R., Stanley, E. H., Mauro Sterza, J., Stevens, M., Stuart-Smith, R., Rondon Suarez, Y., Supp, S., Yoshio Tamashiro, J., Tarigan, S., Thiede, G. P., Thorn, S., Tolvanen, A., Teresa Zugliani Toniato, M., Totland, Ø, Twilley, R. R., Vaitkus, G., Valdivia, N., Vallejo, M. I., Valone, T. J., Van Colen, C., Vanaverbeke, J., Venturoli, F., Verheye, H. M., Vianna, M., Vieira, R. P., Vrška, T., Quang Vu, C., Van Vu, L., Waide, R. B., Waldock, C., Watts, D., Webb, S., Wesołowski, T., White, E. P., Widdicombe, C. E., Wilgers, D., Williams, R., Williams, S. B., Williamson, M., Willig, M. R., Willis, T. J., Wipf, S., Woods, K. D., Woehler, E. J., Zawada, K., and Zettler, M. L.
- Abstract
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format:.csv and.SQL.
- Published
- 2018
15. Shifts in species and phylogenetic diversity between sapling and tree communities indicate negative density-dependence in a lowland rainforest
- Author
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Gonzalez, M.A., Roger, A., Courtois, E., Jabot, F., Norden, N., Paine, C.E.T., Baraloto, C., Thébaud, C., Chave, J., Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
- Subjects
ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2010
16. Payoff dominance vs. cognitive transparency in decision making.
- Author
-
Irwon, Julie R., McClelland, Gary H., McKee, Michael, Schulze, William D., and Norden, N. Elizabeth
- Subjects
DECISION making - Abstract
Reports on three laboratory experiments designed to investigate the roles of decision costs and rewards on the accuracy of economic decisions. Use of the Becker-DeGroot-Marshak mechanism (BDM); Incentive-compatibility of the BDM in a pure induced-value setting; Performance of the BDM under different information regimes and payoff schedules; Role of feedback information.
- Published
- 1998
- Full Text
- View/download PDF
17. METOPROLOL, FENTANYL AND STRESS RESPONSES TO MICROLARYNGOSCOPY: Effects on arterial pressure, heart rate and plasma concentrations of catecholamines, ACTH and cortisol
- Author
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MAGNUSSON, J., WERNER, O., CARLSSON, C., NORDÉN, N., and PETTERSSON, K.-I.
- Published
- 1983
- Full Text
- View/download PDF
18. INFLUENCE OF PREMEDICATION ON THE SYMPATHETIC AND ENDOCRINE RESPONESE AND CARDIAC ARRHYTMIAS DURING HALOTHANE ANAESTHESIA IN CHILDREN UNDERGOING ADENODIECTOMY
- Author
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SIGURDSSON, G.H., LINDAHL, S., and NORDÉN, N.
- Published
- 1983
- Full Text
- View/download PDF
19. BioTIME: A database of biodiversity time series for the Anthropocene
- Author
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Grace E. Frank, Alecia Bellgrove, Flaviana Maluf Souza, Fakhrizal Setiawan, Vladimir G. Onipchenko, Miguel Barbosa, J. Emmett Duffy, Robert A. Davis, Giselda Durigan, Jan Vanaverbeke, Ricardo Rocha, Ana Paula Savassi-Coutinho, Francis Neat, Emily H. Stanley, Erkki Pulliainen, Vinicius Castro Souza, Stephen F. Newton, N. A. Mil'chakova, Annika Hofgaard, James A. Nelson, Elisabeth J. Cooper, Lisandro Benedetti-Cecchi, Sonja Wipf, Anders Enemar, Gabriel Barros Gonçalves de Souza, Claire Laguionie-Marchais, Dušan Adam, Robert N. L. Fitt, Christopher P. Bloch, Claus Bässler, Gediminas Vaitkus, Magdalena Błażewicz, Robert R. Twilley, Richard Condit, B.R. Ramesh, Chaolun Allen Chen, Grace E. P. Murphy, Kevin P. Robinson, Gal Badihi, Lars G. Rudstam, J. Jonathan Moore, David M. Paterson, Sarah R. Supp, Claire E. Widdicombe, Suzanne M. Remillard, Hans M. Verheye, Jill F. Johnstone, Claire H. Davies, Shane A. Blowes, Mark E. Harmon, Rick D. Stuart-Smith, Andrew J. Brooks, Gert Van Hoey, José Eduardo Rebelo, Anna Maria Fosaa, Tim S. Doherty, Jasper A. Slingsby, Francesco Pomati, Raphaël Pélissier, Ward Appeltans, José Manuel Arcos, Phaedra Budy, Victor H. Rivera-Monroy, Maria Teresa Zugliani Toniato, Anthony J. Richardson, Luiz Fernando Loureiro Fernandes, Christopher D. Stallings, Rowan Stanforth, David J. Kushner, A. A. Akhmetzhanova, Geraldo Antônio Daher Corrêa Franco, Alessandra Fidelis, Elizabeth Gorgone-Barbosa, Dave Watts, S.A. Tarigan, Timothy C. Bonebrake, Kent P. McFarland, Jonathan Belmaker, Shahar Malamud, Kamil Král, John D. Lloyd, Diane M. McKnight, Alessandra Rocha Kortz, Luise Hermanutz, Tore Johannessen, N. Ayyappan, Brian J. Bett, Haley Arnold, Fernando Rodrigues da Silva, Peter L. Meserve, Francisco Lloret, Nadejda A. Soudzilovskaia, Michael R. Willig, Linda A. Kuhnz, Esther Lévesque, Kwang-Tsao Shao, Sofía Sal, Robert D. Hollister, Andrew Rassweiler, Christoph F. J. Meyer, Jeffrey C. Oliver, Isla H. Myers-Smith, Graham J. Edgar, Jacek Siciński, Beatriz Salgado, Fábio Venturoli, Matt Bradford, Borgþór Magnússon, Edward Castañeda-Moya, Anne D. Bjorkman, Eric Post, Alain Paquette, Or Givan, Jonathan S. Lefcheck, Falk Huettmann, Fábio Lang da Silveira, Roberto Cazzolla Gatti, Thomas J. Valone, Sarah C. Elmendorf, Sinta Pardede, Esben Moland Olsen, Laura Siegwart Collier, Flavio Antonio Maës dos Santos, Andrew H. Baird, Cheol Min Lee, Robert B. Waide, Olivia Mendivil Ramos, David C. Lightfoot, Stefan B. Williams, Ute Jandt, David Janík, Stephen S. Hale, Robin Elahi, Andrew L. Rypel, S. K. Morgan Ernest, Jörg Müller, Gaius R. Shaver, Anna Jażdżewska, José Mauro Sterza, Maarten Stevens, Denise de Cerqueira Rossa-Feres, Dor Edelist, Martha Isabel Vallejo, Michael Paul Nelson, Conor Waldock, Ricardo Ribeiro Rodrigues, Sally Sherman, Dustin J. Wilgers, Sharon K. Collinge, Kristen T. Holeck, Josep Peñuelas, Douglas A. Kelt, Tiago Egydio Barreto, Faye Moyes, Robert L. Schooley, Peter B. Reich, Jason Meador, Anders Michelsen, J. Paul Richardson, Sara J. Snell, Julio R. Gutiérrez, Chih-hao Hsieh, Gary D. Grossman, Hernando García, Ana Carolina da Silva, Kyle J. A. Zawada, Richard T. Holmes, John C. Priscu, Christine L. Huffard, Christian Rixen, William O. McLarney, Julia A. Jones, Anne Tolvanen, William A. Gould, Maite Louzao, Alejandro Pérez-Matus, Donald L. Henshaw, Kathleen L. Prudic, Herbert H. T. Prins, Helge Bruelheide, Catalina S. Ruz, Rui P. Vieira, Gary P. Thiede, Erin C. Keeley, James H. Brown, William R. Fraser, Pieter Provoost, Andrew S. Hoey, Robert J. Pabst, Kerry D. Woods, Fabiano Turini Farah, Nancy B. Rybicki, Sara E. Scanga, Trevor J. Willis, Daniel J. Metcalfe, Mark Williamson, Joshua S. Madin, Tasrif Kartawijaya, Brian J. McGill, Erica M. Sampaio, Shannan K. Crow, Stephen P. Hubbell, Jochen Schmidt, Daniel C. Reed, Steven Degraer, Laura H. Antão, Krzysztof Pabis, Christopher C. Koenig, Fernando Carvalho, Marcelo Vianna, Anne E. Magurran, Marc Estiarte, Rebecca Kinnear, Tracey Smart, Lesley T. Lancaster, Frank P. Day, Natalia Norden, Unai Cotano, Fábio Z. Farneda, Nelson Valdivia, Corinna Gries, Tomasz Wesołowski, Pedro Higuchi, Jungwon Kang, Randall W. Myster, Itai van Rijn, Oscar Pizarro, Michael L. Zettler, Simon Thorn, Thomas W. Sherry, Timothy E. Dunn, Tung-Yung Fan, Susan Boyd, Adrià López-Baucells, Tomáš Vrška, Tory J. Chase, Ruben Escribano, R. Williams, Carolina Mathias Moreira, John F. Chamblee, Con Quang Vu, Halvor Knutsen, Amanda E. Bates, Maria Dornelas, Kari Klanderud, Jorge Yoshio Tamashiro, Tom Moens, Sara L. Webb, Iain Matthews, Carl Van Colen, Chao-Yang Kuo, Caya Sievers, Faith A. M. Jones, Gary Haskins, Eric J. Woehler, J. Hans C. Cornelissen, Allen H. Hurlbert, Mia O. Hoogenboom, Pamela Hidalgo, Henry A. Ruhl, Brian S. Evans, Ørjan Totland, Lien Van Vu, Yzel Rondon Súarez, Gabriella Damasceno, Even Moland, John Harte, Andrew Naumov, Ethan P. White, Natália Macedo Ivanauskas, Systems Ecology, International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission of UNESCO, Oostende, Safety science group, Delft University of Technology (TU Delft), Institut Français de Pondichéry (IFP), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Department of Biology [Pisa], University of Pisa - Università di Pisa, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Management Unit of the Mathematical Model of the North Sea, Royal Belgian Insitute of Natural Sciences, Floresta Estadual Assis, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), National Museum of Marine Biology and Aquarium, Universidade de São Paulo (USP), Polar Oceans Research Group [USA], Department of Zoology, Tel Aviv University [Tel Aviv], Norwegian Institute for Nature Research (NINA), EWHALE Laboratory of Biology and Wildlife Department, Institute of Arctic Biology-University of Alaska [Fairbanks] (UAF), Laboratory of Polar Biology and Oceanobiology, University of Lódź, Dept Ecol Evol Biol, Univ California SC (EEB-UCSC), University of California [Santa Cruz] (UCSC), University of California-University of California, Département de chimie-biologie & Centre d’études nordiques [CANADA], Université du Québec à Trois-Rivières (UQTR), Human Communication Technologies Research Laboratory (UBC), University of British Columbia (UBC), Instituto Espanol de Oceanografia, Instituto Español de Oceanografía, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Institute of Marine Research, Flødevigen Marine Research Station, Computer Laboratory [Cambridge], University of Cambridge [UK] (CAM), Aarhus University [Aarhus], Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre for Forest Research (CFR), Université du Québec à Montréal (UQAM), The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centro de Investigación Oceanográfica en el Pacífico Sur Oriental (COPAS), Universidad de Concepción [Chile], Department of Biology, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Biological Science [Tallahassee], Florida State University [Tallahassee] (FSU), Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, WSL Institute for Snow and Avalanche Research SLF, Communication Systems Group [Zurich], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Academia Sinica, Facultad Ciencias del Mar, universidad catolica del Norte, Marine Biology Section, Ghent University [Belgium] (UGENT), Department of Avian Ecology, Wrocław University, Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania (UTAS), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), Dornelas, Maria, University of St Andrews. School of Biology, University of St Andrews. Fish Behaviour and Biodiversity Research Group, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. St Andrews Sustainability Institute, University of St Andrews. Centre for Research into Ecological & Environmental Modelling, University of St Andrews. Sediment Ecology Research Group, University of St Andrews. Centre for Higher Education Research, Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona (UAB), Universidade de São Paulo = University of São Paulo (USP), Tel Aviv University (TAU), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Flødevigen Research Station (IMR), Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB)-University of Bergen (UiB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université du Québec à Montréal = University of Québec in Montréal (UQAM), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Universidad de Concepción - University of Concepcion [Chile], University of Minnesota [Twin Cities] (UMN), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Universiteit Gent = Ghent University (UGENT), University of Wrocław [Poland] (UWr), Institute for Marine and Antarctic Studies [Hobart] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universiteit Gent = Ghent University [Belgium] (UGENT), Dornelas M., Antao L.H., Moyes F., Bates A.E., Magurran A.E., Adam D., Akhmetzhanova A.A., Appeltans W., Arcos J.M., Arnold H., Ayyappan N., Badihi G., Baird A.H., Barbosa M., Barreto T.E., Bassler C., Bellgrove A., Belmaker J., Benedetti-Cecchi L., Bett B.J., Bjorkman A.D., Blazewicz M., Blowes S.A., Bloch C.P., Bonebrake T.C., Boyd S., Bradford M., Brooks A.J., Brown J.H., Bruelheide H., Budy P., Carvalho F., Castaneda-Moya E., Chen C.A., Chamblee J.F., Chase T.J., Siegwart Collier L., Collinge S.K., Condit R., Cooper E.J., Cornelissen J.H.C., Cotano U., Kyle Crow S., Damasceno G., Davies C.H., Davis R.A., Day F.P., Degraer S., Doherty T.S., Dunn T.E., Durigan G., Duffy J.E., Edelist D., Edgar G.J., Elahi R., Elmendorf S.C., Enemar A., Ernest S.K.M., Escribano R., Estiarte M., Evans B.S., Fan T.-Y., Turini Farah F., Loureiro Fernandes L., Farneda F.Z., Fidelis A., Fitt R., Fosaa A.M., Daher Correa Franco G.A., Frank G.E., Fraser W.R., Garcia H., Cazzolla Gatti R., Givan O., Gorgone-Barbosa E., Gould W.A., Gries C., Grossman G.D., Gutierrez J.R., Hale S., Harmon M.E., Harte J., Haskins G., Henshaw D.L., Hermanutz L., Hidalgo P., Higuchi P., Hoey A., Van Hoey G., Hofgaard A., Holeck K., Hollister R.D., Holmes R., Hoogenboom M., Hsieh C.-H., Hubbell S.P., Huettmann F., Huffard C.L., Hurlbert A.H., Macedo Ivanauskas N., Janik D., Jandt U., Jazdzewska A., Johannessen T., Johnstone J., Jones J., Jones F.A.M., Kang J., Kartawijaya T., Keeley E.C., Kelt D.A., Kinnear R., Klanderud K., Knutsen H., Koenig C.C., Kortz A.R., Kral K., Kuhnz L.A., Kuo C.-Y., Kushner D.J., Laguionie-Marchais C., Lancaster L.T., Min Lee C., Lefcheck J.S., Levesque E., Lightfoot D., Lloret F., Lloyd J.D., Lopez-Baucells A., Louzao M., Madin J.S., Magnusson B., Malamud S., Matthews I., McFarland K.P., McGill B., McKnight D., McLarney W.O., Meador J., Meserve P.L., Metcalfe D.J., Meyer C.F.J., Michelsen A., Milchakova N., Moens T., Moland E., Moore J., Mathias Moreira C., Muller J., Murphy G., Myers-Smith I.H., Myster R.W., Naumov A., Neat F., Nelson J.A., Paul Nelson M., Newton S.F., Norden N., Oliver J.C., Olsen E.M., Onipchenko V.G., Pabis K., Pabst R.J., Paquette A., Pardede S., Paterson D.M., Pelissier R., Penuelas J., Perez-Matus A., Pizarro O., Pomati F., Post E., Prins H.H.T., Priscu J.C., Provoost P., Prudic K.L., Pulliainen E., Ramesh B.R., Mendivil Ramos O., Rassweiler A., Rebelo J.E., Reed D.C., Reich P.B., Remillard S.M., Richardson A.J., Richardson J.P., van Rijn I., Rocha R., Rivera-Monroy V.H., Rixen C., Robinson K.P., Ribeiro Rodrigues R., de Cerqueira Rossa-Feres D., Rudstam L., Ruhl H., Ruz C.S., Sampaio E.M., Rybicki N., Rypel A., Sal S., Salgado B., Santos F.A.M., Savassi-Coutinho A.P., Scanga S., Schmidt J., Schooley R., Setiawan F., Shao K.-T., Shaver G.R., Sherman S., Sherry T.W., Sicinski J., Sievers C., da Silva A.C., Rodrigues da Silva F., Silveira F.L., Slingsby J., Smart T., Snell S.J., Soudzilovskaia N.A., Souza G.B.G., Maluf Souza F., Castro Souza V., Stallings C.D., Stanforth R., Stanley E.H., Mauro Sterza J., Stevens M., Stuart-Smith R., Rondon Suarez Y., Supp S., Yoshio Tamashiro J., Tarigan S., Thiede G.P., Thorn S., Tolvanen A., Teresa Zugliani Toniato M., Totland O., Twilley R.R., Vaitkus G., Valdivia N., Vallejo M.I., Valone T.J., Van Colen C., Vanaverbeke J., Venturoli F., Verheye H.M., Vianna M., Vieira R.P., Vrska T., Quang Vu C., Van Vu L., Waide R.B., Waldock C., Watts D., Webb S., Wesolowski T., White E.P., Widdicombe C.E., Wilgers D., Williams R., Williams S.B., Williamson M., Willig M.R., Willis T.J., Wipf S., Woods K.D., Woehler E.J., Zawada K., Zettler M.L., The Wellcome Trust, European Research Council, and University of St Andrews. Centre for Biological Diversity
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Data Papers ,0106 biological sciences ,Range (biology) ,QH301 Biology ,temporal ,NERC ,Biodiversity ,Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP] ,BIALOWIEZA NATIONAL-PARK ,special ,computer.software_genre ,[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy ,01 natural sciences ,species richness ,SDG 15 - Life on Land ,biodiversity ,Global and Planetary Change ,B003-ecology ,Database ,Ecology ,Sampling (statistics) ,SIMULATED HERBIVORY ,supporting technologies ,LAND-BRIDGE ISLANDS ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,PE&RC ,global ,PRIMEVAL TEMPERATE FOREST ,Geography ,POPULATION TRENDS ,turnover ,Data Paper ,SECONDARY FOREST ,Evolution ,ESTUARINE COASTAL LAGOON ,010603 evolutionary biology ,QH301 ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Behavior and Systematics ,Anthropocene ,spatial ,Ecology, Evolution, Behavior and Systematics ,VDP::Mathematics and natural science: 400::Zoology and botany: 480 ,species richne ,14. Life underwater ,SDG 14 - Life Below Water ,NE/L002531/1 ,ZA4450 ,Relative species abundance ,ZA4450 Databases ,010604 marine biology & hydrobiology ,RCUK ,Biology and Life Sciences ,DAS ,15. Life on land ,DECIDUOUS FOREST ,Taxon ,Fish ,13. Climate action ,MCP ,Wildlife Ecology and Conservation ,LONG-TERM CHANGE ,Species richness ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,computer ,BIRD COMMUNITY DYNAMICS ,VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 - Abstract
Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL., Global Ecology and Biogeography, 27 (7), ISSN:1466-822X, ISSN:1466-8238
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- 2018
20. Do fragment size and edge effects predict carbon stocks in trees and lianas in tropical forests?
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Magnago, L.F.S., Magrach, A., Barlow, J., Schaefer, C.E.G.R., Laurance, W.F., Martins, S.V., Edwards, D.P., and Norden, N
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ComputingMilieux_GENERAL ,ComputingMilieux_LEGALASPECTSOFCOMPUTING - Published
- 2017
21. Linking seedling wood anatomical trade-offs with drought and seedling growth and survival in tropical dry forests.
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González-Melo A, Salgado-Negret B, Norden N, González-M R, Benavides JP, Cely JM, Abad Ferrer J, Idárraga Á, Moreno E, Pizano C, Puentes-Marín J, Pulido N, Rivera K, Rojas-Bautista F, Solorzano JF, and Umaña MN
- Abstract
Wood anatomy plays a key role in plants' ability to persist under drought and should therefore predict demography. Plants balance their resource allocation among wood cell types responsible for different functions. However, it remains unclear how these anatomical trade-offs vary with water availability, and the extent to which they influence demographic rates. We investigated how wood anatomical trade-offs were related to drought and demographic rates, for seedling communities in four tropical dry forests differing in their aridity indexes (AIs). We measured wood density, as well as vessel, fiber and parenchyma traits of 65 species, and we monitored growth and survival for a 1-yr period. Two axes defined wood anatomical structure: a fiber-parenchyma axis and a vessel-wood density axis. Seedlings in drier sites had larger fiber but lower parenchyma fractions, while in less dry forests, seedlings had the opposite allocation pattern. The fiber-parenchyma trade-off was unrelated to growth but was positively related to survival, and this later relationship was mediated by the AI. These findings expand our knowledge about the wood anatomical trade-offs that mediate responses to drought conditions and influence demographic rates, in the seedling layer. This information is needed to anticipate future responses of forests to changing drought conditions., (© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)
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- 2024
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22. Tree demographic strategies largely overlap across succession in Neotropical wet and dry forest communities.
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Schorn ME, Kambach S, Chazdon RL, Craven D, Farrior CE, Meave JA, Muñoz R, van Breugel M, Amissah L, Bongers F, Hérault B, Jakovac CC, Norden N, Poorter L, van der Sande MT, Wirth C, Delgado D, Dent DH, DeWalt SJ, Dupuy JM, Finegan B, Hall JS, Hernández-Stefanoni JL, Lopez OR, and Rüger N
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- Panama, Mexico, Costa Rica, Biodiversity, Forests, Trees, Tropical Climate
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Secondary tropical forests play an increasingly important role in carbon budgets and biodiversity conservation. Understanding successional trajectories is therefore imperative for guiding forest restoration and climate change mitigation efforts. Forest succession is driven by the demographic strategies-combinations of growth, mortality and recruitment rates-of the tree species in the community. However, our understanding of demographic diversity in tropical tree species stems almost exclusively from old-growth forests. Here, we assembled demographic information from repeated forest inventories along chronosequences in two wet (Costa Rica, Panama) and two dry (Mexico) Neotropical forests to assess whether the ranges of demographic strategies present in a community shift across succession. We calculated demographic rates for >500 tree species while controlling for canopy status to compare demographic diversity (i.e., the ranges of demographic strategies) in early successional (0-30 years), late successional (30-120 years) and old-growth forests using two-dimensional hypervolumes of pairs of demographic rates. Ranges of demographic strategies largely overlapped across successional stages, and early successional stages already covered the full spectrum of demographic strategies found in old-growth forests. An exception was a group of species characterized by exceptionally high mortality rates that was confined to early successional stages in the two wet forests. The range of demographic strategies did not expand with succession. Our results suggest that studies of long-term forest monitoring plots in old-growth forests, from which most of our current understanding of demographic strategies of tropical tree species is derived, are surprisingly representative of demographic diversity in general, but do not replace the need for further studies in secondary forests., (© 2024 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)
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- 2024
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23. Latitudinal patterns in stabilizing density dependence of forest communities.
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Hülsmann L, Chisholm RA, Comita L, Visser MD, de Souza Leite M, Aguilar S, Anderson-Teixeira KJ, Bourg NA, Brockelman WY, Bunyavejchewin S, Castaño N, Chang-Yang CH, Chuyong GB, Clay K, Davies SJ, Duque A, Ediriweera S, Ewango C, Gilbert GS, Holík J, Howe RW, Hubbell SP, Itoh A, Johnson DJ, Kenfack D, Král K, Larson AJ, Lutz JA, Makana JR, Malhi Y, McMahon SM, McShea WJ, Mohamad M, Nasardin M, Nathalang A, Norden N, Oliveira AA, Parmigiani R, Perez R, Phillips RP, Pongpattananurak N, Sun IF, Swanson ME, Tan S, Thomas D, Thompson J, Uriarte M, Wolf AT, Yao TL, Zimmerman JK, Zuleta D, and Hartig F
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- Models, Biological, Species Specificity, Tropical Climate, Biodiversity, Forests, Geographic Mapping, Trees classification, Trees physiology
- Abstract
Numerous studies have shown reduced performance in plants that are surrounded by neighbours of the same species
1,2 , a phenomenon known as conspecific negative density dependence (CNDD)3 . A long-held ecological hypothesis posits that CNDD is more pronounced in tropical than in temperate forests4,5 , which increases community stabilization, species coexistence and the diversity of local tree species6,7 . Previous analyses supporting such a latitudinal gradient in CNDD8,9 have suffered from methodological limitations related to the use of static data10-12 . Here we present a comprehensive assessment of latitudinal CNDD patterns using dynamic mortality data to estimate species-site-specific CNDD across 23 sites. Averaged across species, we found that stabilizing CNDD was present at all except one site, but that average stabilizing CNDD was not stronger toward the tropics. However, in tropical tree communities, rare and intermediate abundant species experienced stronger stabilizing CNDD than did common species. This pattern was absent in temperate forests, which suggests that CNDD influences species abundances more strongly in tropical forests than it does in temperate ones13 . We also found that interspecific variation in CNDD, which might attenuate its stabilizing effect on species diversity14,15 , was high but not significantly different across latitudes. Although the consequences of these patterns for latitudinal diversity gradients are difficult to evaluate, we speculate that a more effective regulation of population abundances could translate into greater stabilization of tropical tree communities and thus contribute to the high local diversity of tropical forests., (© 2024. The Author(s).)- Published
- 2024
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24. Upscaling the effect of traits in response to drought: The relative importance of safety-efficiency and acquisitive-conservation functional axes.
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Umaña MN, Salgado-Negret B, Norden N, Salinas V, Garzón F, Medina SP, Rodríguez-M GM, López-Camacho R, Castaño-Naranjo A, Cuadros H, Franke-Ante R, Avella A, Idárraga-Piedrahita Á, Jurado R, Nieto J, Pizano C, Torres AM, García H, and González-M R
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- Humans, Forests, Trees physiology, Wood, Plant Leaves, Droughts, Tropical Climate
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We tested the idea that functional trade-offs that underlie species tolerance to drought-driven shifts in community composition via their effects on demographic processes and subsequently on shifts in species' abundance. Using data from 298 tree species from tropical dry forests during the extreme ENSO-2015, we scaled-up the effects of trait trade-offs from individuals to communities. Conservative wood and leaf traits favoured slow tree growth, increased tree survival and positively impacted species abundance and dominance at the community-level. Safe hydraulic traits, on the other hand, were related to demography but did not affect species abundance and communities. The persistent effects of the conservative-acquisitive trade-off across organizational levels is promising for generalization and predictability of tree communities. However, the safety-efficient trade-off showed more intricate effects on performance. Our results demonstrated the complex pathways in which traits scale up to communities, highlighting the importance of considering a wide range of traits and performance processes., (© 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)
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- 2023
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25. Mycorrhizal feedbacks influence global forest structure and diversity.
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Delavaux CS, LaManna JA, Myers JA, Phillips RP, Aguilar S, Allen D, Alonso A, Anderson-Teixeira KJ, Baker ME, Baltzer JL, Bissiengou P, Bonfim M, Bourg NA, Brockelman WY, Burslem DFRP, Chang LW, Chen Y, Chiang JM, Chu C, Clay K, Cordell S, Cortese M, den Ouden J, Dick C, Ediriweera S, Ellis EC, Feistner A, Freestone AL, Giambelluca T, Giardina CP, Gilbert GS, He F, Holík J, Howe RW, Huaraca Huasca W, Hubbell SP, Inman F, Jansen PA, Johnson DJ, Kral K, Larson AJ, Litton CM, Lutz JA, Malhi Y, McGuire K, McMahon SM, McShea WJ, Memiaghe H, Nathalang A, Norden N, Novotny V, O'Brien MJ, Orwig DA, Ostertag R, Parker GG', Pérez R, Reynolds G, Russo SE, Sack L, Šamonil P, Sun IF, Swanson ME, Thompson J, Uriarte M, Vandermeer J, Wang X, Ware I, Weiblen GD, Wolf A, Wu SH, Zimmerman JK, Lauber T, Maynard DS, Crowther TW, and Averill C
- Subjects
- Feedback, Symbiosis, Plants microbiology, Soil, Mycorrhizae
- Abstract
One mechanism proposed to explain high species diversity in tropical systems is strong negative conspecific density dependence (CDD), which reduces recruitment of juveniles in proximity to conspecific adult plants. Although evidence shows that plant-specific soil pathogens can drive negative CDD, trees also form key mutualisms with mycorrhizal fungi, which may counteract these effects. Across 43 large-scale forest plots worldwide, we tested whether ectomycorrhizal tree species exhibit weaker negative CDD than arbuscular mycorrhizal tree species. We further tested for conmycorrhizal density dependence (CMDD) to test for benefit from shared mutualists. We found that the strength of CDD varies systematically with mycorrhizal type, with ectomycorrhizal tree species exhibiting higher sapling densities with increasing adult densities than arbuscular mycorrhizal tree species. Moreover, we found evidence of positive CMDD for tree species of both mycorrhizal types. Collectively, these findings indicate that mycorrhizal interactions likely play a foundational role in global forest diversity patterns and structure., (© 2023. Springer Nature Limited.)
- Published
- 2023
- Full Text
- View/download PDF
26. Soil resistance and recovery during neotropical forest succession.
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van der Sande MT, Powers JS, Kuyper TW, Norden N, Salgado-Negret B, Silva de Almeida J, Bongers F, Delgado D, Dent DH, Derroire G, do Espirito Santo MM, Dupuy JM, Fernandes GW, Finegan B, Gavito ME, Hernández-Stefanoni JL, Jakovac CC, Jones IL, das Dores Magalhães Veloso M, Meave JA, Mora F, Muñoz R, Pérez-Cárdenas N, Piotto D, Álvarez-Dávila E, Caceres-Siani Y, Dalban-Pilon C, Dourdain A, Du DV, García Villalobos D, Nunes YRF, Sanchez-Azofeifa A, and Poorter L
- Subjects
- Clay, Forests, Carbon, Soil chemistry, Ecosystem
- Abstract
The recovery of soil conditions is crucial for successful ecosystem restoration and, hence, for achieving the goals of the UN Decade on Ecosystem Restoration. Here, we assess how soils resist forest conversion and agricultural land use, and how soils recover during subsequent tropical forest succession on abandoned agricultural fields. Our overarching question is how soil resistance and recovery depend on local conditions such as climate, soil type and land-use history. For 300 plots in 21 sites across the Neotropics, we used a chronosequence approach in which we sampled soils from two depths in old-growth forests, agricultural fields (i.e. crop fields and pastures), and secondary forests that differ in age (1-95 years) since abandonment. We measured six soil properties using a standardized sampling design and laboratory analyses. Soil resistance strongly depended on local conditions. Croplands and sites on high-activity clay (i.e. high fertility) show strong increases in bulk density and decreases in pH, carbon (C) and nitrogen (N) during deforestation and subsequent agricultural use. Resistance is lower in such sites probably because of a sharp decline in fine root biomass in croplands in the upper soil layers, and a decline in litter input from formerly productive old-growth forest (on high-activity clays). Soil recovery also strongly depended on local conditions. During forest succession, high-activity clays and croplands decreased most strongly in bulk density and increased in C and N, possibly because of strongly compacted soils with low C and N after cropland abandonment, and because of rapid vegetation recovery in high-activity clays leading to greater fine root growth and litter input. Furthermore, sites at low precipitation decreased in pH, whereas sites at high precipitation increased in N and decreased in C : N ratio. Extractable phosphorus (P) did not recover during succession, suggesting increased P limitation as forests age. These results indicate that no single solution exists for effective soil restoration and that local site conditions should determine the restoration strategies. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.
- Published
- 2023
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- View/download PDF
27. Monitoring recovery of tree diversity during tropical forest restoration: lessons from long-term trajectories of natural regeneration.
- Author
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Chazdon RL, Norden N, Colwell RK, and Chao A
- Subjects
- Forests, Costa Rica, Tropical Climate, Biodiversity, Trees, Ecosystem
- Abstract
Given the importance of species diversity as a tool for assessing recovery during forest regeneration and active restoration, robust approaches for assessing changes in tree species diversity over time are urgently needed. We assessed changes in tree species diversity during natural regeneration over 12-20 years in eight 1-ha monitoring plots in NE Costa Rica, six second-growth forests and two old-growth reference forests. We used diversity profiles to show successional trajectories in measures of observed, asymptotic and standardized tree diversity and evenness as well as sample completeness. We randomly subsampled 1-ha plot data to evaluate how well smaller spatial subsamples would have captured temporal trajectories. Annual surveys in eight 1-ha plots were missing substantial numbers of rare or infrequent species. Older second-growth sites showed consistent declines in tree diversity, whereas younger sites showed fluctuating patterns or increases. Subsample areas of 0.5 ha or greater were sufficient to infer the diversity of abundant species, but smaller subsamples failed to capture temporal trajectories of species richness and yielded positively biased estimates of evenness. In tropical forest regions with high levels of diversity, species diversity from small sample plots should be assessed using methods that incorporate abundance information and that standardize for sample coverage. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.
- Published
- 2023
- Full Text
- View/download PDF
28. FunAndes - A functional trait database of Andean plants.
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Báez S, Cayuela L, Macía MJ, Álvarez-Dávila E, Apaza-Quevedo A, Arnelas I, Baca-Cortes N, Bañares de Dios G, Bauters M, Ben Saadi C, Blundo C, Cabrera M, Castaño F, Cayola L, de Aledo JG, Espinosa CI, Fadrique B, Farfán-Rios W, Fuentes A, Garnica-Díaz C, González M, González D, Hensen I, Hurtado AB, Jadán O, Lippok D, Loza MI, Maldonado C, Malizia L, Matas-Granados L, Myers JA, Norden N, Oliveras Menor I, Pierick K, Ramírez-Angulo H, Salgado-Negret B, Schleuning M, Silman M, Solarte-Cruz ME, Tello JS, Verbeeck H, Vilanova E, Weithmann G, and Homeier J
- Subjects
- Phenotype, Plant Leaves, Wood, Biodiversity, Plants
- Abstract
We introduce the FunAndes database, a compilation of functional trait data for the Andean flora spanning six countries. FunAndes contains data on 24 traits across 2,694 taxa, for a total of 105,466 entries. The database features plant-morphological attributes including growth form, and leaf, stem, and wood traits measured at the species or individual level, together with geographic metadata (i.e., coordinates and elevation). FunAndes follows the field names, trait descriptions and units of measurement of the TRY database. It is currently available in open access in the FIGSHARE data repository, and will be part of TRY's next release. Open access trait data from Andean plants will contribute to ecological research in the region, the most species rich terrestrial biodiversity hotspot., (© 2022. The Author(s).)
- Published
- 2022
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29. Strong floristic distinctiveness across Neotropical successional forests.
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Jakovac CC, Meave JA, Bongers F, Letcher SG, Dupuy JM, Piotto D, Rozendaal DMA, Peña-Claros M, Craven D, Santos BA, Siminski A, Fantini AC, Rodrigues AC, Hernández-Jaramillo A, Idárraga A, Junqueira AB, Zambrano AMA, de Jong BHJ, Pinho BX, Finegan B, Castellano-Castro C, Zambiazi DC, Dent DH, García DH, Kennard D, Delgado D, Broadbent EN, Ortiz-Malavassi E, Pérez-García EA, Lebrija-Trejos E, Berenguer E, Marín-Spiotta E, Alvarez-Davila E, de Sá Sampaio EV, Melo F, Elias F, França F, Oberleitner F, Mora F, Williamson GB, Colletta GD, Cabral GAL, Derroire G, Fernandes GW, van der Wal H, Teixeira HM, Vester HFM, García H, Vieira ICG, Jiménez-Montoya J, de Almeida-Cortez JS, Hall JS, Chave J, Zimmerman JK, Nieto JE, Ferreira J, Rodríguez-Velázquez J, Ruíz J, Barlow J, Aguilar-Cano J, Hernández-Stefanoni JL, Engel J, Becknell JM, Zanini K, Lohbeck M, Tabarelli M, Romero-Romero MA, Uriarte M, Veloso MDM, Espírito-Santo MM, van der Sande MT, van Breugel M, Martínez-Ramos M, Schwartz NB, Norden N, Pérez-Cárdenas N, González-Valdivia N, Petronelli P, Balvanera P, Massoca P, Brancalion PHS, Villa PM, Hietz P, Ostertag R, López-Camacho R, César RG, Mesquita R, Chazdon RL, Muñoz R, DeWalt SJ, Müller SC, Durán SM, Martins SV, Ochoa-Gaona S, Rodríguez-Buritica S, Aide TM, Bentos TV, de S Moreno V, Granda V, Thomas W, Silver WL, Nunes YRF, and Poorter L
- Abstract
Forests that regrow naturally on abandoned fields are important for restoring biodiversity and ecosystem services, but can they also preserve the distinct regional tree floras? Using the floristic composition of 1215 early successional forests (≤20 years) in 75 human-modified landscapes across the Neotropic realm, we identified 14 distinct floristic groups, with a between-group dissimilarity of 0.97. Floristic groups were associated with location, bioregions, soil pH, temperature seasonality, and water availability. Hence, there is large continental-scale variation in the species composition of early successional forests, which is mainly associated with biogeographic and environmental factors but not with human disturbance indicators. This floristic distinctiveness is partially driven by regionally restricted species belonging to widespread genera. Early secondary forests contribute therefore to restoring and conserving the distinctiveness of bioregions across the Neotropical realm, and forest restoration initiatives should use local species to assure that these distinct floras are maintained.
- Published
- 2022
- Full Text
- View/download PDF
30. Discovering the forest in plain sight: a pop-up Symposium focusing on seasonally dry tropical forests.
- Author
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Powers JS, Mondragón-Botero A, Norden N, Salgado-Negret B, Pizano C, Gonzalez-M R, and Vargas G G
- Subjects
- Trees, Forests, Tropical Climate
- Published
- 2022
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- View/download PDF
31. Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics.
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Quinn AJ, Lopes-Dos-Santos V, Huang N, Liang WK, Juan CH, Yeh JR, Nobre AC, Dupret D, and Woolrich MW
- Subjects
- Animals, Mice, Theta Rhythm physiology, Brain Waves physiology, CA1 Region, Hippocampal physiology, Electroencephalography methods, Signal Processing, Computer-Assisted
- Abstract
The nonsinusoidal waveform is emerging as an important feature of neuronal oscillations. However, the role of single-cycle shape dynamics in rapidly unfolding brain activity remains unclear. Here, we develop an analytical framework that isolates oscillatory signals from time series using masked empirical mode decomposition to quantify dynamical changes in the shape of individual cycles (along with amplitude, frequency, and phase) with instantaneous frequency. We show how phase-alignment, a process of projecting cycles into a regularly sampled phase grid space, makes it possible to compare cycles of different durations and shapes. "Normalized shapes" can then be constructed with high temporal detail while accounting for differences in both duration and amplitude. We find that the instantaneous frequency tracks nonsinusoidal shapes in both simulated and real data. Notably, in local field potential recordings of mouse hippocampal CA1, we find that theta oscillations have a stereotyped slow-descending slope in the cycle-wise average yet exhibit high variability on a cycle-by-cycle basis. We show how principal component analysis allows identification of motifs of theta cycle waveform that have distinct associations to cycle amplitude, cycle duration, and animal movement speed. By allowing investigation into oscillation shape at high temporal resolution, this analytical framework will open new lines of inquiry into how neuronal oscillations support moment-by-moment information processing and integration in brain networks. NEW & NOTEWORTHY We propose a novel analysis approach quantifying nonsinusoidal waveform shape. The approach isolates oscillations with empirical mode decomposition before waveform shape is quantified using phase-aligned instantaneous frequency. This characterizes the full shape profile of individual cycles while accounting for between-cycle differences in duration, amplitude, and timing. We validated in simulations before applying to identify a range of data-driven nonsinusoidal shape motifs in hippocampal theta oscillations.
- Published
- 2021
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- View/download PDF
32. Cardiac involvement in critically ill and mechanically ventilated patients with COVID-19 - a prospective, observational echocardiographic study.
- Author
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Norden N, Lundin EO, Hagberg E, Gao SA, Hård Af Segerstad M, Nellgård B, and Dalla K
- Abstract
Introduction: In this prospective, observational study, we have evaluated right (RV) and left (LV) ventricular function with echocardiography and correlated it to the levels of biomarkers, hs-TNT, NT-pro-BNP, D-dimer and fibrinogen. In a subgroup, we have evaluated the effect of inhaled milrinone on RV afterload and function., Methods: Thirty-one ICU patients with COVID-19 in need of mechanical ventilation and norepinephrine infusion were prospectively included. Hemodynamic and respiratory variables were measured at the time of the echocardiographic examination and biomarkers were obtained on arrival at the ICU and then followed up routinely. Eight patients received inhaled aerosolized milrinone at a dose of 2.5 mg/hour., Results: The most common echocardiographic pattern was RV dilation with or without systolic dysfunction, which was found in 62% of patients. Pulmonary acceleration time was abnormal in 55% and indices of RV systolic function, such as fractional area of change, RV strain, were abnormal in 30% and 31% of patients respectively. A cardiac index of < 2.5 l/min*m
2 was seen in 58% of the patients. Left ventricular ejection fraction and global left ventricular strain were impaired in 10% and 16% respectively. The correlation between echocardiographic variables and cardiac biomarkers was poor. RV afterload correlated well to the levels of D-dimer. Milrinone inhalation did not improve RV function or afterload., Conclusion: RV dysfunction was the most common finding. The poor correlation to cardiac biomarkers argues against extensive myocardial involvement. The lack of improvement in RV function after milrinone inhalation suggests that the most likely cause of RV dysfunction is increased RV afterload caused by pulmonary thrombosis/embolism., Competing Interests: None., (AJCD Copyright © 2021.)- Published
- 2021
33. Diverging functional strategies but high sensitivity to an extreme drought in tropical dry forests.
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González-M R, Posada JM, Carmona CP, Garzón F, Salinas V, Idárraga-Piedrahita Á, Pizano C, Avella A, López-Camacho R, Norden N, Nieto J, Medina SP, Rodríguez-M GM, Franke-Ante R, Torres AM, Jurado R, Cuadros H, Castaño-Naranjo A, García H, and Salgado-Negret B
- Subjects
- Ecosystem, Forests, North America, Plant Leaves, Trees, Water, Droughts, Tropical Climate
- Abstract
Extreme drought events have negative effects on forest diversity and functioning. At the species level, however, these effects are still unclear, as species vary in their response to drought through specific functional trait combinations. We used long-term demographic records of 21,821 trees and extensive databases of traits to understand the responses of 338 tropical dry forests tree species to ENSO
2015 , the driest event in decades in Northern South America. Functional differences between species were related to the hydraulic safety-efficiency trade-off, but unexpectedly, dominant species were characterised by high investment in leaf and wood tissues regardless of their leaf phenological habit. Despite broad functional trait combinations, tree mortality was more widespread in the functional space than tree growth, where less adapted species showed more negative net biomass balances. Our results suggest that if dry conditions increase in this ecosystem, ecological functionality and biomass gain would be reduced., (© 2020 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)- Published
- 2021
- Full Text
- View/download PDF
34. Biodiversity recovery of Neotropical secondary forests.
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Rozendaal DMA, Bongers F, Aide TM, Alvarez-Dávila E, Ascarrunz N, Balvanera P, Becknell JM, Bentos TV, Brancalion PHS, Cabral GAL, Calvo-Rodriguez S, Chave J, César RG, Chazdon RL, Condit R, Dallinga JS, de Almeida-Cortez JS, de Jong B, de Oliveira A, Denslow JS, Dent DH, DeWalt SJ, Dupuy JM, Durán SM, Dutrieux LP, Espírito-Santo MM, Fandino MC, Fernandes GW, Finegan B, García H, Gonzalez N, Moser VG, Hall JS, Hernández-Stefanoni JL, Hubbell S, Jakovac CC, Hernández AJ, Junqueira AB, Kennard D, Larpin D, Letcher SG, Licona JC, Lebrija-Trejos E, Marín-Spiotta E, Martínez-Ramos M, Massoca PES, Meave JA, Mesquita RCG, Mora F, Müller SC, Muñoz R, de Oliveira Neto SN, Norden N, Nunes YRF, Ochoa-Gaona S, Ortiz-Malavassi E, Ostertag R, Peña-Claros M, Pérez-García EA, Piotto D, Powers JS, Aguilar-Cano J, Rodriguez-Buritica S, Rodríguez-Velázquez J, Romero-Romero MA, Ruíz J, Sanchez-Azofeifa A, de Almeida AS, Silver WL, Schwartz NB, Thomas WW, Toledo M, Uriarte M, de Sá Sampaio EV, van Breugel M, van der Wal H, Martins SV, Veloso MDM, Vester HFM, Vicentini A, Vieira ICG, Villa P, Williamson GB, Zanini KJ, Zimmerman J, and Poorter L
- Subjects
- Conservation of Natural Resources, Geography, Biodiversity, Ecosystem, Forests, Tropical Climate
- Abstract
Old-growth tropical forests harbor an immense diversity of tree species but are rapidly being cleared, while secondary forests that regrow on abandoned agricultural lands increase in extent. We assess how tree species richness and composition recover during secondary succession across gradients in environmental conditions and anthropogenic disturbance in an unprecedented multisite analysis for the Neotropics. Secondary forests recover remarkably fast in species richness but slowly in species composition. Secondary forests take a median time of five decades to recover the species richness of old-growth forest (80% recovery after 20 years) based on rarefaction analysis. Full recovery of species composition takes centuries (only 34% recovery after 20 years). A dual strategy that maintains both old-growth forests and species-rich secondary forests is therefore crucial for biodiversity conservation in human-modified tropical landscapes.
- Published
- 2019
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- View/download PDF
35. BioTIME: A database of biodiversity time series for the Anthropocene.
- Author
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Dornelas M, Antão LH, Moyes F, Bates AE, Magurran AE, Adam D, Akhmetzhanova AA, Appeltans W, Arcos JM, Arnold H, Ayyappan N, Badihi G, Baird AH, Barbosa M, Barreto TE, Bässler C, Bellgrove A, Belmaker J, Benedetti-Cecchi L, Bett BJ, Bjorkman AD, Błażewicz M, Blowes SA, Bloch CP, Bonebrake TC, Boyd S, Bradford M, Brooks AJ, Brown JH, Bruelheide H, Budy P, Carvalho F, Castañeda-Moya E, Chen CA, Chamblee JF, Chase TJ, Siegwart Collier L, Collinge SK, Condit R, Cooper EJ, Cornelissen JHC, Cotano U, Kyle Crow S, Damasceno G, Davies CH, Davis RA, Day FP, Degraer S, Doherty TS, Dunn TE, Durigan G, Duffy JE, Edelist D, Edgar GJ, Elahi R, Elmendorf SC, Enemar A, Ernest SKM, Escribano R, Estiarte M, Evans BS, Fan TY, Turini Farah F, Loureiro Fernandes L, Farneda FZ, Fidelis A, Fitt R, Fosaa AM, Daher Correa Franco GA, Frank GE, Fraser WR, García H, Cazzolla Gatti R, Givan O, Gorgone-Barbosa E, Gould WA, Gries C, Grossman GD, Gutierréz JR, Hale S, Harmon ME, Harte J, Haskins G, Henshaw DL, Hermanutz L, Hidalgo P, Higuchi P, Hoey A, Van Hoey G, Hofgaard A, Holeck K, Hollister RD, Holmes R, Hoogenboom M, Hsieh CH, Hubbell SP, Huettmann F, Huffard CL, Hurlbert AH, Macedo Ivanauskas N, Janík D, Jandt U, Jażdżewska A, Johannessen T, Johnstone J, Jones J, Jones FAM, Kang J, Kartawijaya T, Keeley EC, Kelt DA, Kinnear R, Klanderud K, Knutsen H, Koenig CC, Kortz AR, Král K, Kuhnz LA, Kuo CY, Kushner DJ, Laguionie-Marchais C, Lancaster LT, Min Lee C, Lefcheck JS, Lévesque E, Lightfoot D, Lloret F, Lloyd JD, López-Baucells A, Louzao M, Madin JS, Magnússon B, Malamud S, Matthews I, McFarland KP, McGill B, McKnight D, McLarney WO, Meador J, Meserve PL, Metcalfe DJ, Meyer CFJ, Michelsen A, Milchakova N, Moens T, Moland E, Moore J, Mathias Moreira C, Müller J, Murphy G, Myers-Smith IH, Myster RW, Naumov A, Neat F, Nelson JA, Paul Nelson M, Newton SF, Norden N, Oliver JC, Olsen EM, Onipchenko VG, Pabis K, Pabst RJ, Paquette A, Pardede S, Paterson DM, Pélissier R, Peñuelas J, Pérez-Matus A, Pizarro O, Pomati F, Post E, Prins HHT, Priscu JC, Provoost P, Prudic KL, Pulliainen E, Ramesh BR, Mendivil Ramos O, Rassweiler A, Rebelo JE, Reed DC, Reich PB, Remillard SM, Richardson AJ, Richardson JP, van Rijn I, Rocha R, Rivera-Monroy VH, Rixen C, Robinson KP, Ribeiro Rodrigues R, de Cerqueira Rossa-Feres D, Rudstam L, Ruhl H, Ruz CS, Sampaio EM, Rybicki N, Rypel A, Sal S, Salgado B, Santos FAM, Savassi-Coutinho AP, Scanga S, Schmidt J, Schooley R, Setiawan F, Shao KT, Shaver GR, Sherman S, Sherry TW, Siciński J, Sievers C, da Silva AC, Rodrigues da Silva F, Silveira FL, Slingsby J, Smart T, Snell SJ, Soudzilovskaia NA, Souza GBG, Maluf Souza F, Castro Souza V, Stallings CD, Stanforth R, Stanley EH, Mauro Sterza J, Stevens M, Stuart-Smith R, Rondon Suarez Y, Supp S, Yoshio Tamashiro J, Tarigan S, Thiede GP, Thorn S, Tolvanen A, Teresa Zugliani Toniato M, Totland Ø, Twilley RR, Vaitkus G, Valdivia N, Vallejo MI, Valone TJ, Van Colen C, Vanaverbeke J, Venturoli F, Verheye HM, Vianna M, Vieira RP, Vrška T, Quang Vu C, Van Vu L, Waide RB, Waldock C, Watts D, Webb S, Wesołowski T, White EP, Widdicombe CE, Wilgers D, Williams R, Williams SB, Williamson M, Willig MR, Willis TJ, Wipf S, Woods KD, Woehler EJ, Zawada K, Zettler ML, and Hickler T
- Abstract
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene., Main Types of Variables Included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record., Spatial Location and Grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km
2 (158 cm2 ) to 100 km2 (1,000,000,000,000 cm2 )., Time Period and Grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year., Major Taxa and Level of Measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates., Software Format: .csv and .SQL.- Published
- 2018
- Full Text
- View/download PDF
36. Opposing mechanisms affect taxonomic convergence between tree assemblages during tropical forest succession.
- Author
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Norden N, Boukili V, Chao A, Ma KH, Letcher SG, and Chazdon RL
- Subjects
- Costa Rica, Species Specificity, Ecosystem, Forests, Trees growth & development, Tropical Climate
- Abstract
Whether successional forests converge towards an equilibrium in species composition remains an elusive question, hampered by high idiosyncrasy in successional dynamics. Based on long-term tree monitoring in second-growth (SG) and old-growth (OG) forests in Costa Rica, we show that patterns of convergence between pairs of forest stands depend upon the relative abundance of species exhibiting distinct responses to the successional gradient. For instance, forest generalists contributed to convergence between SG and OG forests, whereas rare species and old-growth specialists were a source of divergence. Overall, opposing trends in taxonomic similarity among different subsets of species nullified each other, producing a net outcome of stasis over time. Our results offer an explanation for the limited convergence observed between pairwise communities and suggest that rare species and old-growth specialists may be prone to dispersal limitation, while the dynamics of generalists and second-growth specialists are more predictable, enhancing resilience in tropical secondary forests., (© 2017 John Wiley & Sons Ltd/CNRS.)
- Published
- 2017
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- View/download PDF
37. Successional dynamics in Neotropical forests are as uncertain as they are predictable.
- Author
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Norden N, Angarita HA, Bongers F, Martínez-Ramos M, Granzow-de la Cerda I, van Breugel M, Lebrija-Trejos E, Meave JA, Vandermeer J, Williamson GB, Finegan B, Mesquita R, and Chazdon RL
- Subjects
- Stochastic Processes, Ecosystem, Forests, Tropical Climate, Uncertainty
- Abstract
Although forest succession has traditionally been approached as a deterministic process, successional trajectories of vegetation change vary widely, even among nearby stands with similar environmental conditions and disturbance histories. Here, we provide the first attempt, to our knowledge, to quantify predictability and uncertainty during succession based on the most extensive long-term datasets ever assembled for Neotropical forests. We develop a novel approach that integrates deterministic and stochastic components into different candidate models describing the dynamical interactions among three widely used and interrelated forest attributes--stem density, basal area, and species density. Within each of the seven study sites, successional trajectories were highly idiosyncratic, even when controlling for prior land use, environment, and initial conditions in these attributes. Plot factors were far more important than stand age in explaining successional trajectories. For each site, the best-fit model was able to capture the complete set of time series in certain attributes only when both the deterministic and stochastic components were set to similar magnitudes. Surprisingly, predictability of stem density, basal area, and species density did not show consistent trends across attributes, study sites, or land use history, and was independent of plot size and time series length. The model developed here represents the best approach, to date, for characterizing autogenic successional dynamics and demonstrates the low predictability of successional trajectories. These high levels of uncertainty suggest that the impacts of allogenic factors on rates of change during tropical forest succession are far more pervasive than previously thought, challenging the way ecologists view and investigate forest regeneration.
- Published
- 2015
- Full Text
- View/download PDF
38. Bio-resorbable plates as effective implant in paediatric mandibular fracture.
- Author
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Singh G, Mohammad S, Chak RK, Lepcha N, Singh N, and Malkunje LR
- Abstract
Aim: To evaluate the efficacy of bio-resorbable plates in paediatric mandibular fracture., Materials and Methods: In the present study, 40 cases of mandibular fractures were treated by Inion Cps plating system using, 2 and 2.5 mm (LPLA/DLPLA/TMC/PGA) bio-resorbable bone plates and screws of 6 and 8 mm screws. The assessment of the patients was done at 2 week, 1, 3, and 6 months using the clinical parameters and bite force recording., Results: There was significant reduction in pain at different follow-ups. Paraesthesia was found in two patients with body fracture which remained for 2 week and 1 month follow-up. No paraesthesia was found after 3rd follow-up. Significant stability of fracture fragments were found on different follow ups. Implant exposure was present only in two patients (5%) at 1 month follow up. There was significant increase in incisor, right molar and left molar bite force at 1, 3 and 6 months, from 2nd week onwards., Conclusion: These findings show that the use of bio-resorbable plates in paediatric mandibular fracture was efficacious enough to bear the masticatory loads during osteosynthesis of the fracture. The recent and significant achievement is the advent of bio-resorbable osteosynthesis devices that has almost solved the problems of stress shielding, secondary surgery and corrosion when metal implants are left-in situ.
- Published
- 2012
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- View/download PDF
39. Phylogenetic density dependence and environmental filtering predict seedling mortality in a tropical forest.
- Author
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Paine CE, Norden N, Chave J, Forget PM, Fortunel C, Dexter KG, and Baraloto C
- Subjects
- Ecosystem, French Guiana, Models, Biological, Population Density, Seedlings anatomy & histology, Seedlings genetics, Trees genetics, Phylogeny, Seedlings physiology, Trees physiology, Tropical Climate
- Abstract
Negative density dependence (NDD) and environmental filtering (EF) shape community assembly, but their relative importance is poorly understood. Recent studies have shown that seedling's mortality risk is positively related to the phylogenetic relatedness of neighbours. However, natural enemies, whose depredations often cause NDD, respond to functional traits of hosts rather than phylogenetic relatedness per se. To understand the roles of NDD and EF in community assembly, we assessed the effects on seedling mortality of functional similarity, phylogenetic relatedness and stem density of neighbouring seedlings and adults in a species-rich tropical forest. Mortality risks increased for common species when their functional traits departed substantially from the neighbourhood mean, and for all species when surrounded by close relatives. This indicates that NDD affects community assembly more broadly than does EF, and leads to the tentative conclusion that natural enemies respond to phylogenetically correlated traits. Our results affirm the prominence of NDD in structuring species-rich communities., (© 2011 Blackwell Publishing Ltd/CNRS.)
- Published
- 2012
- Full Text
- View/download PDF
40. Determinants of plant community assembly in a mosaic of landscape units in central Amazonia: ecological and phylogenetic perspectives.
- Author
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Umaña MN, Norden N, Cano A, and Stevenson PR
- Subjects
- Biodiversity, Climate, Colombia, Floods, Phylogeography, Trees, Phylogeny, Plant Physiological Phenomena, Plants classification
- Abstract
The Amazon harbours one of the richest ecosystems on Earth. Such diversity is likely to be promoted by plant specialization, associated with the occurrence of a mosaic of landscape units. Here, we integrate ecological and phylogenetic data at different spatial scales to assess the importance of habitat specialization in driving compositional and phylogenetic variation across the Amazonian forest. To do so, we evaluated patterns of floristic dissimilarity and phylogenetic turnover, habitat association and phylogenetic structure in three different landscape units occurring in terra firme (Hilly and Terrace) and flooded forests (Igapó). We established two 1-ha tree plots in each of these landscape units at the Caparú Biological Station, SW Colombia, and measured edaphic, topographic and light variables. At large spatial scales, terra firme forests exhibited higher levels of species diversity and phylodiversity than flooded forests. These two types of forests showed conspicuous differences in species and phylogenetic composition, suggesting that environmental sorting due to flood is important, and can go beyond the species level. At a local level, landscape units showed floristic divergence, driven both by geographical distance and by edaphic specialization. In terms of phylogenetic structure, Igapó forests showed phylogenetic clustering, whereas Hilly and Terrace forests showed phylogenetic evenness. Within plots, however, local communities did not show any particular trend. Overall, our findings suggest that flooded forests, characterized by stressful environments, impose limits to species occurrence, whereas terra firme forests, more environmentally heterogeneous, are likely to provide a wider range of ecological conditions and therefore to bear higher diversity. Thus, Amazonia should be considered as a mosaic of landscape units, where the strength of habitat association depends upon their environmental properties.
- Published
- 2012
- Full Text
- View/download PDF
41. A novel statistical method for classifying habitat generalists and specialists.
- Author
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Chazdon RL, Chao A, Colwell RK, Lin SY, Norden N, Letcher SG, Clark DB, Finegan B, and Arroyo JP
- Subjects
- Algorithms, Animals, Costa Rica, New South Wales, Population Density, Birds classification, Ecosystem, Models, Statistical, Trees classification
- Abstract
We develop a novel statistical approach for classifying generalists and specialists in two distinct habitats. Using a multinomial model based on estimated species relative abundance in two habitats, our method minimizes bias due to differences in sampling intensities between two habitat types as well as bias due to insufficient sampling within each habitat. The method permits a robust statistical classification of habitat specialists and generalists, without excluding rare species a priori. Based on a user-defined specialization threshold, the model classifies species into one of four groups: (1) generalist; (2) habitat A specialist; (3) habitat B specialist; and (4) too rare to classify with confidence. We illustrate our multinomial classification method using two contrasting data sets: (1) bird abundance in woodland and heath habitats in southeastern Australia and (2) tree abundance in second-growth (SG) and old-growth (OG) rain forests in the Caribbean lowlands of northeastern Costa Rica. We evaluate the multinomial model in detail for the tree data set. Our results for birds were highly concordant with a previous nonstatistical classification, but our method classified a higher fraction (57.7%) of bird species with statistical confidence. Based on a conservative specialization threshold and adjustment for multiple comparisons, 64.4% of tree species in the full sample were too rare to classify with confidence. Among the species classified, OG specialists constituted the largest class (40.6%), followed by generalist tree species (36.7%) and SG specialists (22.7%). The multinomial model was more sensitive than indicator value analysis or abundance-based phi coefficient indices in detecting habitat specialists and also detects generalists statistically. Classification of specialists and generalists based on rarefied subsamples was highly consistent with classification based on the full sample, even for sampling percentages as low as 20%. Major advantages of the new method are (1) its ability to distinguish habitat generalists (species with no significant habitat affinity) from species that are simply too rare to classify and (2) applicability to a single representative sample or a single pooled set of representative samples from each of two habitat types. The method as currently developed can be applied to no more than two habitats at a time.
- Published
- 2011
- Full Text
- View/download PDF
42. Resilience of tropical rain forests: tree community reassembly in secondary forests.
- Author
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Norden N, Chazdon RL, Chao A, Jiang YH, and Vílchez-Alvarado B
- Subjects
- Costa Rica, Population Dynamics, Species Specificity, Tropical Climate, Ecosystem, Models, Biological, Trees growth & development
- Abstract
Understanding the recovery dynamics of ecosystems presents a major challenge in the human-impacted tropics. We tested whether secondary forests follow equilibrium or non-equilibrium dynamics by evaluating community reassembly over time, across different successional stages, and among multiple life stages. Based on long-term and static data from six 1-ha plots in NE Costa Rica, we show that secondary forests are undergoing reassembly of canopy tree and palm species composition through the successful recruitment of seedlings, saplings, and young trees of mature forest species. Such patterns were observed over time within sites and across successional stages. Floristic reassembly in secondary forests showed a clear convergence with mature forest community composition, supporting an equilibrium model. This resilience stems from three key factors co-occurring locally: high abundance of generalist species in the regional flora, high levels of seed dispersal, and local presence of old-growth forest remnants.
- Published
- 2009
- Full Text
- View/download PDF
43. Mast fruiting is a frequent strategy in woody species of eastern South America.
- Author
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Norden N, Chave J, Belbenoit P, Caubère A, Châtelet P, Forget PM, and Thébaud C
- Subjects
- Biodiversity, Conservation of Natural Resources, Ecology, Ecosystem, Models, Statistical, Models, Theoretical, Plant Physiological Phenomena, Seedlings, South America, Time Factors, Tropical Climate, Fruit, Seeds, Trees
- Abstract
Background: It is thought that mast seeding is a rare reproductive strategy in the tropics, since tropical climates are less variable, and fruit consumers tend to be more generalist in these regions. However, previous tests of this hypothesis were based on only few tropical datasets, and none from tropical South America. Moreover, reproductive strategies have been quantified based on the coefficient of variation of interannual seed production, an index that potentially confounds masting and high interannual variability in seed production., Methodology/principal Findings: We developed a new approach to model the monthly variability in seed production for 28 tree species, and 20 liana species monitored during 5 years in a tropical forest of Central French Guiana. We found that 23% of the species showed a masting pattern, 54% an annual fruiting pattern, and 23% an irregular fruiting pattern. The majority of masting species were trees (8 out of 11), most of them animal-dispersed. The classification into reproductive strategies based on the coefficient of variation was inconsistent with our results in nearly half of the cases., Conclusions/significance: Our study is the first to clearly evidence the frequency of the masting strategy in a tropical forest community of Eastern South America. The commonness of the masting strategy in tropical plants may promote species coexistence through storage dynamics.
- Published
- 2007
- Full Text
- View/download PDF
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