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22 results on '"de Jong, B.H.J."'

1. Application Of The Climafor Baseline To Determine Leakage: The Case Of Scolel Te.

Author

De Jong, B.H.J., Bazan, E. Esquivel, and Quechulpa Montalvo, S.

Subjects
Energy conservation, consumption, and utilization, leakage assessment Plan Vivo regional baseline.
Abstract

The acceptance of forestry-based project activities to mitigate greenhouse gases emissions has been subjected to a number of methodological questions to be answered, of which the most challenging are baseline establishment and identification of and measuring leakage. Here we pose hypotheses for and quantify leakage of the Scolel Te project in Chiapas, Mexico. In this project small-scale farmers are implementing forestry, agroforestry, and forest conservation activities, with carbon sequestration as one of the goals. The main leakage monitoring domain is defined as the area owned by the participating farmers or communities outside the area where the specific project activities take place. The null-hypothesis (no leakage) is that non-project land owned by the farmer or community will experience the same carbon stock changes as predicted by the regional baseline, specifically developed for the project. First we assessed the most likely causes and sources of leakage that may occur in the project. From this analysis, one type of leakage seems to be important, i.e., activity shifting. Second we estimated the leakage of a sample of participating farmers and communities. Actual land use was then compared with expected land use derived from the baseline. The Plan Vivo of each participant, complemented with readily available tools to identify the main sources and drivers of leakage are used to develop simple leakage assessment procedures, as demonstrated in this paper. Negative leakage was estimated to be negligible in this study. Incorporating these procedures already in the project planning stage will reduce the uncertainties related to the actual carbon mitigation potential of any forestry project.

Published
2007

2. Strong floristic distinctiveness across Neotropical successional forests

Author

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

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
Full Text
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6. Multidimensional tropical forest recovery

Author

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

9. Wet and dry tropical forests show opposite successional pathways in wood density but converge over time

Author

Poorter, L., Rozendaal, D.M.A., Bongers, F., de Almeida-Cortez, J.S., Almeyda Zambrano, A.M., Álvarez, F.S., Andrade, J.L., Arreola Villa, L.F., Balvanera, P., Becknell, J.M., Bentos, T.V., Bhaskar, R., Boukili, V., Brancalion, P.H.S., Broadbent, E.N., César, R.G., Chave, J., Chazdon, R.L., Dalla Colletta, G., Craven, D., de Jong, B.H.J., Denslow, J.S., Dent, D.H., DeWalt, S.J., Díaz García, E., Dupuy, J.M., Durán, S.M., Espírito Santo, M.M., Fandiño, M.C., Fernandes, G.W., Finegan, B., Granda Moser, V., Hall, J.S., Hernández-Stefanoni, J.L., Jakovac, C.C., Junqueira, A.B., Kennard, D., Lebrija-Trejos, E., Letcher, S.G., Lohbeck, M., Lopez, O.R., Marín-Spiotta, E., Martínez-Ramos, M., Martins, S.V., Massoca, P.E.S., Meave, J.A., Mesquita, R., Mora, F., de Souza Moreno, V., Müller, S.C., Muñoz, R., Muscarella, R., de Oliveira Neto, S.N., Nunes, Y.R.F., Ochoa-Gaona, S., Paz, H., Peña-Claros, M., Piotto, D., Ruíz, J., Sanaphre-Villanueva, L., Sanchez-Azofeifa, A., Schwartz, N.B., Steininger, M.K., Thomas, W.W., Toledo, M., Uriarte, M., Utrera, L.P., van Breugel, M., van der Sande, Masha Tamara, van der Wal, H., Veloso, M.D.M., Vester, H.F.M., Vieira, I.C.G., Villa, P.M., Williamson, G.B., Wright, S.J., Zanini, K.J., Zimmerman, J.K., Westoby, M., Poorter, L., Rozendaal, D.M.A., Bongers, F., de Almeida-Cortez, J.S., Almeyda Zambrano, A.M., Álvarez, F.S., Andrade, J.L., Arreola Villa, L.F., Balvanera, P., Becknell, J.M., Bentos, T.V., Bhaskar, R., Boukili, V., Brancalion, P.H.S., Broadbent, E.N., César, R.G., Chave, J., Chazdon, R.L., Dalla Colletta, G., Craven, D., de Jong, B.H.J., Denslow, J.S., Dent, D.H., DeWalt, S.J., Díaz García, E., Dupuy, J.M., Durán, S.M., Espírito Santo, M.M., Fandiño, M.C., Fernandes, G.W., Finegan, B., Granda Moser, V., Hall, J.S., Hernández-Stefanoni, J.L., Jakovac, C.C., Junqueira, A.B., Kennard, D., Lebrija-Trejos, E., Letcher, S.G., Lohbeck, M., Lopez, O.R., Marín-Spiotta, E., Martínez-Ramos, M., Martins, S.V., Massoca, P.E.S., Meave, J.A., Mesquita, R., Mora, F., de Souza Moreno, V., Müller, S.C., Muñoz, R., Muscarella, R., de Oliveira Neto, S.N., Nunes, Y.R.F., Ochoa-Gaona, S., Paz, H., Peña-Claros, M., Piotto, D., Ruíz, J., Sanaphre-Villanueva, L., Sanchez-Azofeifa, A., Schwartz, N.B., Steininger, M.K., Thomas, W.W., Toledo, M., Uriarte, M., Utrera, L.P., van Breugel, M., van der Sande, Masha Tamara, van der Wal, H., Veloso, M.D.M., Vester, H.F.M., Vieira, I.C.G., Villa, P.M., Williamson, G.B., Wright, S.J., Zanini, K.J., Zimmerman, J.K., and Westoby, M.

Abstract

Tropical forests are converted at an alarming rate for agricultural use and pastureland, but also regrow naturally through secondary succession. For successful forest restoration, it is essential to understand the mechanisms of secondary succession. These mechanisms may vary across forest types, but analyses across broad spatial scales are lacking. Here, we analyse forest recovery using 1,403 plots that differ in age since agricultural abandonment from 50 sites across the Neotropics. We analyse changes in community composition using species-specific stem wood density (WD), which is a key trait for plant growth, survival and forest carbon storage. In wet forest, succession proceeds from low towards high community WD (acquisitive towards conservative trait values), in line with standard successional theory. However, in dry forest, succession proceeds from high towards low community WD (conservative towards acquisitive trait values), probably because high WD reflects drought tolerance in harsh early successional environments. Dry season intensity drives WD recovery by influencing the start and trajectory of succession, resulting in convergence of the community WD over time as vegetation cover builds up. These ecological insights can be used to improve species selection for reforestation. Reforestation species selected to establish a first protective canopy layer should, among other criteria, ideally have a similar WD to the early successional communities that dominate under the prevailing macroclimatic conditions.

Published
2019

10. Rodent diversity and landuse in Montebello, Chiapas, Mexico

Author

Horvath, A., March, I.J., Wolf, J.H.D., de Jong, B.H.J., and Experimental Plant Systematics (IBED, FNWI)

Subjects
Arboreal locomotion, Geography, Land use, Habitat, Abundance (ecology), National park, Ecology, fungi, Animal Science and Zoology, Ecotone, Species richness, Ecology, Evolution, Behavior and Systematics, Spatial heterogeneity
Abstract

We analyzed the abundance and diversity of Heteromyid and Murid rodents in the Lagos de Montebello National Park and adjacent areas, Chiapas, Mexico. We sampled three habitat types with different degrees of disturbance: pine-oak-liquidambar forest, ecotone and crop farming lands. Habitat types were defined considering characteristics such as heterogeneity, structural complexity and arboreal cover. We obtained ancillary habitat data considered important for small mammal requirements. Data on rodent communities were obtained by capture-mark-recapture between February and October 1996. We made 410 captures in 3820 trap-nights effort. Ten species were recorded, including one endemic with restricted distribution in Chiapas. Mouse diversity in the forest was significantly higher than within the farm lands. A Kendall correlation analysis showed positive relationship between rodent community species richness and habitat heterogeneity. Diversity of rodents was associated with the habitat complexity and structural ...

Published
2001
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11. CO2FIX V 3.1 A modelling framework for quantifying carbon sequestration in forest ecosystems

Author

Schelhaas, M.J., van Esch, P.W., Groen, T.A., de Jong, B.H.J., Kanninen, M., Liski, J., Masera, O., Mohren, G.M.J., Nabuurs, G.J., Palosuo, T., Pedroni, L., Vallejo, A., and Vilén, T.

Subjects
koolstofcyclus, accounting, forest management, simulation models, voorraden, bioenergy, stocks, bio-energie, agroforestry, afforestation, biomass production, carbon cycle, biomassa productie, Bosecologie en Bosbeheer, Wageningen Environmental Research, bebossing, boekhouding, bosbedrijfsvoering, forests, carbon, biobased economy, PE&RC, simulatiemodellen, Forest Ecology and Forest Management, Centrum Ecosystemen, Centre for Ecosystem Studies, Wildlife Ecology and Conservation, koolstof, bossen
Abstract

This report describes the conceptual approach of the CO2FIX V 3.1 model, as well as its implementation and numerous examples. This stand level simulation model is a tool which quantifies the C stocks and fluxes in the forest biomass, the soil organic matter and the wood products chain. Included are also a bioenergy module, a financial module and a carbon accounting module. The model is applicable to many different situations: afforestation projects, agroforestry systems, and selective logging systems. The model is freely available from the web, together with numerous examples. The model has many users. The two earlier versions of the model have been downloaded already almost 2000 times

Published
2004

12. Forestry for mitigating the greenhouse effect : an ecological and economic assessment of the potential of land use to mitigate CO2 emissions in the Highlands of Chiapas, Mexico

Author

de Jong, B.H.J., Agricultural University, and R.A.A. Oldeman

Subjects
cycling, land types, koolstofcyclus, gedegradeerde bossen, simulation models, regenbossen, landgebruik, landtypen, Biologische bedrijfssystemen, carbon cycle, kringlopen, Biological Farming Systems, landbouwgrond, degraded forests, mexico, carbon, systems analysis, grasslands, broeikaseffect, carbon dioxide, land use, greenhouse effect, simulatiemodellen, rain forests, graslanden, agricultural land, kooldioxide, systeemanalyse, koolstof
Abstract

The present study intends to answer some of the important questions that arise when translating projects that have an ecological potential to mitigate carbon excesses, into actual implementation of these projects in a farmer-dominated landscape. Farm and community forestry projects for greenhouse gas mitigation in such environments would involve numerous participants, a high variety of small-scaled systems spread over large areas, with individual adaptations of general management procedures due to personal interests, local conditions, and previous experiences. In this book the results are presented of a study to estimate the flux of carbon from the terrestrial ecosystems to the atmosphere from the 1970s and 1990s of an intensively impacted and highly fragmented landscape. About 20 x 10 6 MgC were released to the atmosphere during the period of time covered by the study. Approximately 34% of the 1975 vegetation carbon pool disappeared. A feasibility study was carried out to (i) identify farmer preferred and ecologically viable agroforestry/forestry systems and their ex ante carbon sequestration potential; and to (ii) assess the economic potential of carbon offsets of such systems.A total of five land-use systems were considered viable, while farmers presented local adjustments in preferred species, planting arrangements, and rotation times. The carbon sequestration potential varied highly between the systems and the regions (from 26.7 to 338.9 MgC ha -1 ). The total cost of one MgC ha -1 varied between $US 1.84 and 3.98 for the systems selected in the Tzeltal region and between $US 1.47 and 11.15 for the systems in the Tojolabal region. The differences in costs within the same region were due to differences in establishment and opportunity costs, whereas the differences between the two areas were due to differences in the carbon sequestration potential of the regions. The carbon sequestration potential of the Highlands of Chiapas was estimated, based on an incentive program that would stimulate small farmers and rural communities to adopt biomass-accumulating measures, such as agroforestry or improved forest management. It was estimated that 38 × 10 6 MgC could be sequestered for under $US 15 MgC -1 , of which 32 × 10 6 MgC by means of sustainable forest management. The choice of a baseline rate of biomass loss in the "business-as-usual" scenario remains a critical issue to estimate the carbon sequestration potential of forestry.The main sources of uncertainties observed in the calculations of the GHG-offset potential of a forestry project were related to: (i) classification of LU/LC types, with observed differences of up to around 8% in land cover estimations; (ii) estimation of C-stocks within each LU/LC type, with uncertainties varying from around 13 to 34% in total C-stock; (iii) historical evidence of LU/LC changes and related GHG fluxes applied in baselines, giving rise to uncertainties of up to about 16% in the estimation of fluxes, whereas varying baseline assumptions produced differences between 31 and 73% in the C-mitigation calculations, with levels of uncertainty in the differences of up to 74%; and (iv) simulation techniques used to calculate future baseline and project C-fluxes, which generated uncertainties of up to around 10% in overall C-mitigation estimations.A self-reporting system with on-site spot-checks is the most appropriate method to assess the impact on carbon fluxes of a farm-forestry project, which typically include a high diversity of small-scale systems and numerous participants. The monitoring and evaluation procedure outlined in this study, facilitates the collection of field data at low cost, helps to ensure that the systems continue to address the needs of farmers, and gives the farmers an understanding of the value of the service that they are providing.Any method to estimate carbon dynamics has to deal with sources and levels of variability and uncertainties in data. In this dissertation various approaches were used to estimate the impact of variability or uncertainty in data or assumptions. In Chapter 3, the standard deviation of collected biomass data was used as an indicator to estimate the confidence interval of the regional C flux. In Chapter 4, the uncertainty of information was dealt with by varying tree growth due to expected differences in site conditions. In Chapter 5, a sensitivity analysis was used to test the impact of baseline emission assumptions and capital interest rates on the cost of mitigating one Mg carbon. Varying baseline assumptions and carbon transfer parameters within a forest ecosystem was used in Chapter 6 to identify the most important sources of error in the C mitigation estimation of forestry projects.

Published
2000

13. A multi-criterion index for the evaluation of local tropical forest conditions in Mexico

Author

Ochoa-Gaona, S., Kampichler, C., de Jong, B.H.J., Hernández, S., Geissen, V., Huerta, E., Ochoa-Gaona, S., Kampichler, C., de Jong, B.H.J., Hernández, S., Geissen, V., and Huerta, E.

Abstract

Despite the ecological and economical importance of tropical forests they are currently affected by human activities, mainly through deforestation and selective extraction. With the aim of making an opportune diagnosis of the condition of forests, we developed an ecological index based on qualitative and semi-quantitative data, allowing a quick diagnosis in order to manage and conserve tropical forests. We evaluated 44 plots of tree vegetation, measuring canopy height, number of strata, tree cover, dominant trees, number of tree species, as well as the management of and damage to the forest. The data of each parameter was classified in categories of 3, 4 or 5, which were normalized between 0 and 1 for the worst and best characteristics, respectively. For the purpose of analysis, the average, a set of IF–THEN rules, and fuzzy logic were applied and as a result we obtained a model that measures the ecological condition of the tropical forests. The model has the advantages of having an ecological basis, allows data to be gathered quickly and is clear and easy to manage and interpret. When running the model, the value of each intermediate variable is displayed, thus allowing the detection of where necessary action is required to improve the ecological condition of the forest. We expect this index to contribute in evaluating the effectiveness of forest management and possibly offer advice for the short-term management and conservation of the remnants of tropical forests., Despite the ecological and economical importance of tropical forests they are currently affected by human activities, mainly through deforestation and selective extraction. With the aim of making an opportune diagnosis of the condition of forests, we developed an ecological index based on qualitative and semi-quantitative data, allowing a quick diagnosis in order to manage and conserve tropical forests. We evaluated 44 plots of tree vegetation, measuring canopy height, number of strata, tree cover, dominant trees, number of tree species, as well as the management of and damage to the forest. The data of each parameter was classified in categories of 3, 4 or 5, which were normalized between 0 and 1 for the worst and best characteristics, respectively. For the purpose of analysis, the average, a set of IF–THEN rules, and fuzzy logic were applied and as a result we obtained a model that measures the ecological condition of the tropical forests. The model has the advantages of having an ecological basis, allows data to be gathered quickly and is clear and easy to manage and interpret. When running the model, the value of each intermediate variable is displayed, thus allowing the detection of where necessary action is required to improve the ecological condition of the forest. We expect this index to contribute in evaluating the effectiveness of forest management and possibly offer advice for the short-term management and conservation of the remnants of tropical forests.

Published
2010

17. Forestry for mitigating the greenhouse effect : an ecological and economic assessment of the potential of land use to mitigate CO2 emissions in the Highlands of Chiapas, Mexico

Author

Oldeman, R.A.A., de Jong, B.H.J., Oldeman, R.A.A., and de Jong, B.H.J.

Abstract

The present study intends to answer some of the important questions that arise when translating projects that have an ecological potential to mitigate carbon excesses, into actual implementation of these projects in a farmer-dominated landscape. Farm and community forestry projects for greenhouse gas mitigation in such environments would involve numerous participants, a high variety of small-scaled systems spread over large areas, with individual adaptations of general management procedures due to personal interests, local conditions, and previous experiences. In this book the results are presented of a study to estimate the flux of carbon from the terrestrial ecosystems to the atmosphere from the 1970s and 1990s of an intensively impacted and highly fragmented landscape. About 20 x 10 6 MgC were released to the atmosphere during the period of time covered by the study. Approximately 34% of the 1975 vegetation carbon pool disappeared. A feasibility study was carried out to (i) identify farmer preferred and ecologically viable agroforestry/forestry systems and their ex ante carbon sequestration potential; and to (ii) assess the economic potential of carbon offsets of such systems.A total of five land-use systems were considered viable, while farmers presented local adjustments in preferred species, planting arrangements, and rotation times. The carbon sequestration potential varied highly between the systems and the regions (from 26.7 to 338.9 MgC ha -1 ). The total cost of one MgC ha -1 varied between $US 1.84 and 3.98 for the systems selected in the Tzeltal region and between $US 1.47 and 11.15 for the systems in the Tojolabal region. The differences in costs within the same region were due to differences in establishment and opportunity costs, whereas the differences between the two areas were due to differences in the carbon sequestration potential of the regions. The carbon sequestration potential of the Highlands of Chiapas was estimated, based on an incentive

Published
2000

22. An integrated pan-tropical biomass map using multiple reference datasets

Author

Hans Verbeeck, Slik J.W. Ferry, Terry Sunderland, Cécile A. J. Girardin, Pascal Boeckx, John Armston, Lindsay F. Banin, Lan Qie, Marcela J. Quinones, Bernardus H. J. de Jong, Gabriela Lopez-Gonzalez, Richard Lucas, Edward T. A. Mitchard, Riccardo Valentini, Martin Herold, Valerio Avitabile, Laszlo Nagy, Jeremy A. Lindsell, Elizabeth Kearsley, Simon L. Lewis, Arief Wijaya, Nicolas Bayol, Nicholas J. Berry, Casey M. Ryan, Gaia Vaglio Laurin, Ben DeVries, Roberto Cazzolla Gatti, Yadvinder Malhi, Gerard B. M. Heuvelink, Oliver L. Phillips, Alexandra C. Morel, Peter S. Ashton, Gregory P. Asner, Simon Willcock, Avitabile V., Herold M., Heuvelink G.B.M., Lewis S.L., Phillips O.L., Asner G.P., Armston J., Ashton P.S., Banin L., Bayol N., Berry N.J., Boeckx P., de Jong B.H.J., Devries B., Girardin C.A.J., Kearsley E., Lindsell J.A., Lopez-Gonzalez G., Lucas R., Malhi Y., Morel A., Mitchard E.T.A., Nagy L., Qie L., Quinones M.J., Ryan C.M., Ferry S.J.W., Sunderland T., Laurin G.V., Cazzolla Gatti R., Valentini R., Verbeeck H., Wijaya A., and Willcock S.

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Mean squared error, Forest plot, Climate change, Datasets as Topic, Structural basin, 010603 evolutionary biology, 01 natural sciences, Ecology and Environment, Trees, Laboratory of Geo-information Science and Remote Sensing, Tropical forest, Environmental Chemistry, Satellite imagery, Laboratorium voor Geo-informatiekunde en Remote Sensing, Biomass, Aboveground bioma, 0105 earth and related environmental sciences, General Environmental Science, Remote sensing, Global and Planetary Change, Tropical Climate, Forest inventory, Ecology, Tropics, Aboveground biomass, Carbon cycle, 15. Life on land, Models, Theoretical, Sensor fusion, PE&RC, Forest plots, Satellite mapping, 13. Climate action, Spatial ecology, Environmental science, Physical geography, REDD+, ISRIC - World Soil Information, Maps as Topic
Abstract

We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates. Based on the fused map, we estimated AGB stock for the tropics (23.4 N-23.4 S) of 375 Pg dry mass, 9-18% lower than the Saatchi and Baccini estimates. The fused map also showed differing spatial patterns of AGB over large areas, with higher AGB density in the dense forest areas in the Congo basin, Eastern Amazon and South-East Asia, and lower values in Central America and in most dry vegetation areas of Africa than either of the input maps. The validation exercise, based on 2118 estimates from the reference dataset not used in the fusion process, showed that the fused map had a RMSE 15-21% lower than that of the input maps and, most importantly, nearly unbiased estimates (mean bias 5Mg dry massha-1 vs. 21 and 28Mgha-1 for the input maps). The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.

Published
2016
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