28 results on '"Gatti, Roberto Cazzolla"'
Search Results
2. Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach
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Torresani, Michele, Rocchini, Duccio, Ceola, Giada, de Vries, Jan Peter Reinier, Feilhauer, Hannes, Moudrý, Vítězslav, Bartholomeus, Harm, Perrone, Michela, Anderle, Matteo, Gamper, Hannes Andres, Chieffallo, Ludovico, Guatelli, Enrico, Gatti, Roberto Cazzolla, and Kleijn, David
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- 2024
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3. Native diversity buffers against severity of non-native tree invasions
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Delavaux, Camille S., Crowther, Thomas W., Zohner, Constantin M., Robmann, Niamh M., Lauber, Thomas, van den Hoogen, Johan, Kuebbing, Sara, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa T. F., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel D., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miscicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Do, Tran Van, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Maynard, Daniel S.
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- 2023
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4. A quixotic view of spatial bias in modelling the distribution of species and their diversity
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Rocchini, Duccio, Tordoni, Enrico, Marchetto, Elisa, Marcantonio, Matteo, Barbosa, A. Márcia, Bazzichetto, Manuele, Beierkuhnlein, Carl, Castelnuovo, Elisa, Gatti, Roberto Cazzolla, Chiarucci, Alessandro, Chieffallo, Ludovico, Da Re, Daniele, Di Musciano, Michele, Foody, Giles M., Gabor, Lukas, Garzon-Lopez, Carol X., Guisan, Antoine, Hattab, Tarek, Hortal, Joaquin, Kunin, William E., Jordán, Ferenc, Lenoir, Jonathan, Mirri, Silvia, Moudrý, Vítězslav, Naimi, Babak, Nowosad, Jakub, Sabatini, Francesco Maria, Schweiger, Andreas H., Šímová, Petra, Tessarolo, Geiziane, Zannini, Piero, and Malavasi, Marco
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- 2023
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5. Explaining Technology
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Koppl, Roger, Gatti, Roberto Cazzolla, Devereaux, Abigail, Fath, Brian D., Herriot, James, Hordijk, Wim, Kauffman, Stuart, Ulanowicz, Robert E., and Valverde, Sergi
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- 2023
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6. Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns
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Rocchini, Duccio, Nowosad, Jakub, D’Introno, Rossella, Chieffallo, Ludovico, Bacaro, Giovanni, Gatti, Roberto Cazzolla, Foody, Giles M., Furrer, Reinhard, Gábor, Lukáš, Malavasi, Marco, Marcantonio, Matteo, Marchetto, Elisa, Moudrý, Vítězslav, Ricotta, Carlo, Šímová, Petra, Torresani, Michele, and Thouverai, Elisa
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- 2023
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7. Author Correction: Native diversity buffers against severity of non-native tree invasions
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Delavaux, Camille S., Crowther, Thomas W., Zohner, Constantin M., Robmann, Niamh M., Lauber, Thomas, van den Hoogen, Johan, Kuebbing, Sara, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Cornejo Valverde, Fernando, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas T., Amaral, Iêda, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa T. F., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel D., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Miscicki, Stanislaw, Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Do, Tran Van, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wiser, Susan K., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderik, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Maynard, Daniel S.
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- 2023
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8. Ecological gradients explain variation of phyllostomid bat (Chiroptera: Phyllostomidae) diversity in Honduras
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Turcios-Casco, Manfredo A., Gatti, Roberto Cazzolla, Dri, Gabriela Franzoi, Cáceres, Niltón, Stevens, Richard, and de Sales Dambros, Cristian
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- 2021
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9. New evidence of a fish–bird interspecific feeding association between the European seabass and the European shag in the Mediterranean Sea
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Gatti, Roberto Cazzolla, Ugarkovic, Pero, and Tiralongo, Francesco
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- 2021
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10. A multitaxonomic assessment of Natura 2000 effectiveness across European biogeographic regions.
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Ricci, Lorenzo, Di Musciano, Michele, Sabatini, Francesco Maria, Chiarucci, Alessandro, Zannini, Piero, Gatti, Roberto Cazzolla, Beierkuhnlein, Carl, Walentowitz, Anna, Lawrence, Alexandra, Frattaroli, Anna Rita, and Hoffmann, Samuel
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AMPHIBIANS ,WILDLIFE conservation ,PROPENSITY score matching ,AMPHIBIAN diversity ,SPECIES diversity ,REPTILES ,BIRD habitats - Abstract
Copyright of Conservation Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2024
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11. Estimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensing
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Chapungu, Lazarus, Nhamo, Luxon, and Gatti, Roberto Cazzolla
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- 2020
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12. Global patterns and environmental drivers of forest functional composition.
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Bouchard, Elise, Searle, Eric B., Drapeau, Pierre, Liang, Jingjing, Gamarra, Javier G. P., Abegg, Meinrad, Alberti, Giorgio, Zambrano, Angelica Almeyda, Alvarez‐Davila, Esteban, Alves, Luciana F., Avitabile, Valerio, Aymard, Gerardo, Bastin, Jean‐François, Birnbaum, Philippe, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro, Broadbent, Eben, Bussotti, Filippo, and Gatti, Roberto Cazzolla
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FOREST surveys ,WOOD density ,TEMPERATE forests ,BIOMES ,TROPICAL forests ,TAIGAS - Abstract
Aim: To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location: Global. Time period: Recent. Major taxa studied: Trees. Methods: We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community‐weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results: Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within‐biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions: Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within‐biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, the distribution of tree functional traits appears to be driven more by species presence than species abundance. [ABSTRACT FROM AUTHOR]
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- 2024
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13. BioTIME: A database of biodiversity time series for the Anthropocene
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Dornelas, Maria, Antão, Laura H., Moyes, Faye, Bates, Amanda E., Magurran, Anne E., Adam, Dušan, Akhmetzhanova, Asem A., Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H., Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J., Bjorkman, Anne D., Błazewicz, Magdalena, Blowes, Shane A., Bloch, Christopher P., Bonebrake, Timothy C., Boyd, Susan, Bradford, Matt, Brooks, Andrew J., Brown, James H., Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F., Chase, Tory J., Collier, Laura Siegwart, Collinge, Sharon K., Condit, Richard, Cooper, Elisabeth J., Cornelissen, J. Hans C., Cotano, Unai, Crow, Shannan Kyle, Damasceno, Gabriella, Davies, Claire H., Davis, Robert A., Day, Frank P., Degraer, Steven, Doherty, Tim S., Dunn, Timothy E., Durigan, Giselda, Duffy, J. Emmett, Edelist, Dor, Edgar, Graham J., Elahi, Robin, Elmendorf, Sarah C., Enemar, Anders, Ernest, S. K. Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S., Fan, Tung-Yung, Farah, Fabiano Turini, Fernandes, Luiz Loureiro, Farneda, Fábio Z., Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Franco, Geraldo Antonio Daher Correa, Frank, Grace E., Fraser, William R., García, Hernando, Gatti, Roberto Cazzolla, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A., Gries, Corinna, Grossman, Gary D., Gutierréz, Julio R., Hale, Stephen, Harmon, Mark E., Harte, John, Haskins, Gary, Henshaw, Donald L., Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D., Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-hao, Hubbell, Stephen P., Huettmann, Falk, Huffard, Christine L., Hurlbert, Allen H., Ivanauskas, Natália Macedo, Janík, David, Jandt, Ute, Jazdzewska, Anna, Johannessen, Tore, Johnstone, Jill, Jones, Julia, Jones, Faith A. M., Kang, Jungwon, Kartawijaya, Tasrif, Keeley, Erin C., Kelt, Douglas A., Kinnear, Rebecca, Klanderud, Kari, Knutsen, Halvor, Koenig, Christopher C., Kortz, Alessandra R., Král, Kamil, Kuhnz, Linda A., Kuo, Chao-Yang, Kushner, David J., Laguionie-Marchais, Claire, Lancaster, Lesley T., Lee, Cheol Min, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López-Baucells, Adrià, Louzao, Maite, Madin, Joshua S., Magnússon, Borgþór, Malamud, Shahar, Matthews, Iain, McFarland, Kent P., McGill, Brian, McKnight, Diane, McLarney, William O., Meador, Jason, Meserve, Peter L., Metcalfe, Daniel J., Meyer, Christoph F. J., Michelsen, Anders, Milchakova, Nataliya, Moens, Tom, Moland, Even, Moore, Jon, Moreira, Carolina Mathias, Müller, Jörg, Murphy, Grace, Myers-Smith, Isla H., Myster, Randall W., Naumov, Andrew, Neat, Francis, Nelson, James A., Nelson, Michael Paul, Newton, Stephen F., Norden, Natalia, Oliver, Jeffrey C., Olsen, Esben M., Onipchenko, Vladimir G., Pabis, Krzysztof, Pabst, Robert J., Paquette, Alain, Pardede, Sinta, Paterson, David M., Pélissier, Raphaël, Peñuelas, Josep, Pérez-Matus, Alejandro, Pizarro, Oscar, Pomati, Francesco, Post, Eric, Prins, Herbert H. T., Priscu, John C., Provoost, Pieter, Prudic, Kathleen L., Pulliainen, Erkki, Ramesh, B. R., Ramos, Olivia Mendivil, Rassweiler, Andrew, Remillard, Suzanne M., Richardson, Anthony J., Richardson, J. Paul, van Rijn, Itai, Rocha, Ricardo, Rivera-Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Rodrigues, Ricardo Ribeiro, de Cerqueira Rossa-Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi-Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang-Tsao, Shaver, Gaius R., Sherman, Sally, Sherry, Thomas W., Siciński, Jacek, Sievers, Caya, da Silva, Ana Carolina, da Silva, Fernando Rodrigues, Silveira, Fabio L., Slingsby, Jasper, Smart, Tracey, Snell, Sara J., Soudzilovskaia, Nadejda A., Souza, Gabriel B. G., Souza, Flaviana Maluf, Souza, Vinícius Castro, Stallings, Christopher D., Stanforth, Rowan, Stanley, Emily H., Sterza, José Mauro, Stevens, Maarten, Stuart-Smith, Rick, Suarez, Yzel Rondon, Supp, Sarah, Tamashiro, Jorge Yoshio, Tarigan, Sukmaraharja, Thiede, Gary P., Thorn, Simon, Tolvanen, Anne, Toniato, Maria Teresa Zugliani, Totland, Ørjan, Twilley, Robert R., Vaitkus, Gediminas, Valdivia, Nelson, Vallejo, Martha Isabel, Valone, Thomas J., Van Colen, Carl, Vanaverbeke, Jan, Venturoli, Fabio, Verheye, Hans M., Vianna, Marcelo, Vieira, Rui P., Vrška, Tomáš, Vu, Con Quang, Van Vu, Lien, Waide, Robert B., Waldock, Conor, Watts, Dave, Webb, Sara, Wesołowski, Tomasz, White, Ethan P., Widdicombe, Claire E., Wilgers, Dustin, Williams, Richard, Williams, Stefan B., Williamson, Mark, Willig, Michael R., Willis, Trevor J., Wipf, Sonja, Woods, Kerry D., Woehler, Eric J., Zawada, Kyle, and Zettler, Michael L.
- Published
- 2018
14. Exploring the relationship between canopy height and terrestrial plant diversity
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Gatti, Roberto Cazzolla, Di Paola, Arianna, Bombelli, Antonio, Noce, Sergio, and Valentini, Riccardo
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- 2017
15. Climate change-induced salinity variation impacts on a stenoecious mangrove species in the Indian Sundarbans
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Banerjee, Kakoli, Gatti, Roberto Cazzolla, and Mitra, Abhijit
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- 2017
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16. Italy: Forest harvesting is the opposite of green growth
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Gatti, Roberto Cazzolla, Piovesan, Gianluca, and Chiarucci, Alessandro
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- 2021
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17. The number of tree species on Earth
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Gatti, Roberto Cazzolla, Fridman, Jonas, and Liang, Jingjing
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Ecology ,Forest Science ,Botany - Abstract
One of the most fundamental questions in ecology is how many species inhabit the Earth. However, due to massive logistical and financial challenges and taxonomic difficulties connected to the species concept definition, the global numbers of species, including those of important and well-studied life forms such as trees, still remain largely unknown. Here, based on global groundsourced data, we estimate the total tree species richness at global, continental, and biome levels. Our results indicate that there are 73,000 tree species globally, among which ∼9,000 tree species are yet to be discovered. Roughly 40% of undiscovered tree species are in South America. Moreover, almost one-third of all tree species to be discovered may be rare, with very low populations and limited spatial distribution (likely in remote tropical lowlands and mountains). These findings highlight the vulnerability of global forest biodiversity to anthropogenic changes in land use and climate, which disproportionately threaten rare species and thus, global tree richness.
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- 2022
18. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses
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Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., Reich, P. B., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K. G., Abegg, Meinrad, Yao, C. Yves Adou, Alberti, Giorgio, Zambrano, Angelica Almeyda, Alvarez-Davila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Anton-Fernandez, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo, Baker, Timothy, Balazy, Radomir, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith, Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo, Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clark, David, Colletta, Gabriel, Condit, Richard, Coomes, David, Cornejo Valverde, Fernando, Corral-Rivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, Andre L., Decuyper, Mathieu, Derroire, Geraldine, DeVries, Ben, Djordjevic, Ilija, Ieda, Amaral, Dourdain, Aurelie, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adande Belarmain, Fayle, Tom M., Feldpausch, Ted R., Finer, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Herold, Martin, Hillers, Annika, Honorio Coronado, Euridice N., Huber, Markus, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Kohl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal, Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver, Piedade, Maria Teresa, Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Arevalo, Freddy Ramirez, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schongart, Jochen, Searle, Eric, Seben, Vladimir, Serra-Diaz, Josep M., Salas-Eljatib, Christian, Sheil, Douglas, Shvidenko, Anatoly, Silva-Espejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonke, Bonaventure, Souza, Alexandre F., Sterenczak, Krzysztof, Svenning, Jens-Christian, Svoboda, Miroslav, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valladares, Fernando, van der Plas, Fons, Tran Van Do, Vasquez Martinez, Rodolfo, Verbeeck, Hans, Viana, Helder, Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James, Westerlund, Bertil, Wiser, Susan, Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, Zawila-Niedzwiecki, Tomasz, Zhu, Zhi-Xin, Zo-Bi, Irie Casimir, Valladares, Fernando, Stanford University, Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Purdue University [West Lafayette], Beijing Forestry University, University of Oxford [Oxford], University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Western Sydney University, Wageningen University and Research [Wageningen] (WUR), Universitat de Lleida, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National Polytechnique Yamoussoukro, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Stanford University [Stanford], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), University of Minnesota [Twin Cities], Western Sydney University (UWS), Wageningen University and Research Centre [Wageningen] (WUR), Forest Science and Technology Centre of Catalonia, Food and Agricultural Organization of the United Nations (FAO), United Nations Organization, Forêts et Sociétés (Cirad-Es-UPR 105 Forêts et Sociétés), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Lorraine (UL), Steidinger B.S., Crowther T.W., Liang J., Van Nuland M.E., Werner G.D.A., Reich P.B., Nabuurs G., de-Miguel S., Zhou M., Picard N., Herault B., Zhao X., Zhang C., Routh D., Peay K.G., Abegg M., AdouYao C.Y., Alberti G., AlmeydaZambrano A., Alvarez-Davila E., Alvarez-Loayza P., Alves L.F., Ammer C., Anton-Fernandez C., Araujo-Murakami A., Arroyo L., Avitabile V., Aymard G., Baker T., Balazy R., Banki O., Barroso J., Bastian M., Bastin J.-F., Birigazzi L., Birnbaum P., Bitariho R., Boeckx P., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Brienen R., Broadbent E., Bruelheide H., Bussotti F., Cazzolla Gatti R., Cesar R., Cesljar G., Chazdon R., Chen H.Y.H., Chisholm C., Cienciala E., Clark C.J., Clark D., Colletta G., Condit R., Coomes D., CornejoValverde F., Corral-Rivas J.J., Crim P., Cumming J., Dayanandan S., de Gasper A.L., Decuyper M., Derroire G., DeVries B., Djordjevic I., Ieda A., Dourdain A., Obiang N.L.E., Enquist B., Eyre T., Fandohan A.B., Fayle T.M., Feldpausch T.R., Finer L., Fischer M., Fletcher C., Fridman J., Frizzera L., Gamarra J.G.P., Gianelle D., Glick H.B., Harris D., Hector A., Hemp A., Hengeveld G., Herbohn J., Herold M., Hillers A., Honorio Coronado E.N., Huber M., Hui C., Cho H., Ibanez T., Jung I., Imai N., Jagodzinski A.M., Jaroszewicz B., Johannsen V., Joly C.A., Jucker T., Karminov V., Kartawinata K., Kearsley E., Kenfack D., Kennard D., Kepfer-Rojas S., Keppel G., Khan M.L., Killeen T., Kim H.S., Kitayama K., Kohl M., Korjus H., Kraxner F., Laarmann D., Lang M., Lewis S., Lu H., Lukina N., Maitner B., Malhi Y., Marcon E., Marimon B.S., Marimon-Junior B.H., Marshall A.R., Martin E., Martynenko O., Meave J.A., Melo-Cruz O., Mendoza C., Merow C., MonteagudoMendoza A., Moreno V., Mukul S.A., Mundhenk P., Nava-Miranda M.G., Neill D., Neldner V., Nevenic R., Ngugi M., Niklaus P., Oleksyn J., Ontikov P., Ortiz-Malavasi E., Pan Y., Paquette A., Parada-Gutierrez A., Parfenova E., Park M., Parren M., Parthasarathy N., Peri P.L., Pfautsch S., Phillips O., Piedade M.T., Piotto D., Pitman N.C.A., Polo I., Poorter L., Poulsen A.D., Poulsen J.R., Pretzsch H., RamirezArevalo F., Restrepo-Correa Z., Rodeghiero M., Rolim S., Roopsind A., Rovero F., Rutishauser E., Saikia P., Saner P., Schall P., Schelhaas M.-J., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Searle E., Seben V., Serra-Diaz J.M., Salas-Eljatib C., Sheil D., Shvidenko A., Silva-Espejo J., Silveira M., Singh J., Sist P., Slik F., Sonke B., Souza A.F., Sterenczak K., Svenning J.-C., Svoboda M., Targhetta N., Tchebakova N., Steege H., Thomas R., Tikhonova E., Umunay P., Usoltsev V., Valladares F., van der Plas F., Van Do T., VasquezMartinez R., Verbeeck H., Viana H., Vieira S., von Gadow K., Wang H.-F., Watson J., Westerlund B., Wiser S., Wittmann F., Wortel V., Zagt R., Zawila-Niedzwiecki T., Zhu Z.-X., Zo-Bi I.C., Systems Ecology, Steidinger, BS, Crowther, TW, Liang, J, Van Nuland, ME, Werner, GDA, Reich, PB, Nabuurs, G, de-Miguel, S, Zhou, M, Picard, N, Herault, B, Zhao, X, Zhang, C, Routh, D, Peay, KG, Keppel, G, GFBI consortium, and Valladares, Fernando [0000-0002-5374-4682]
- Subjects
symbiosi ,0106 biological sciences ,Forest Ecology, SOM decomposition, biogeography, forest-tree symbioses ,Bos- en Landschapsecologie ,Biome ,01 natural sciences ,forest-tree symbioses ,Microbial ecology ,Laboratory of Geo-information Science and Remote Sensing ,K01 - Foresterie - Considérations générales ,Bos- en Natuurbeleid ,Forest and Landscape Ecology ,Multidisciplinary ,Ecology ,forest ecosystems ,PE&RC ,séquestration du carbone ,Biometris ,Biogeography ,Forêt ,Écosystème forestier ,Vegetatie, Bos- en Landschapsecologie ,P33 - Chimie et physique du sol ,Climate control ,Forest Ecology ,P40 - Météorologie et climatologie ,Symbiose ,010603 evolutionary biology ,Forest and Nature Conservation Policy ,Symbiosis ,Settore BIO/07 - ECOLOGIA ,Forest ecology ,Temperate climate ,Symbioses ,Life Science ,Bosecologie en Bosbeheer ,Laboratorium voor Geo-informatiekunde en Remote Sensing ,Forest ,climate ,Vegetatie ,biogeography ,Changement climatique ,decomposition ,Vegetation ,Forest inventory ,симбиозы ,P34 - Biologie du sol ,FUNGI ,климат ,15. Life on land ,Arid ,Forest Ecology and Forest Management ,SOM decomposition ,forest inventory plots ,лесные экосистемы ,Environmental science ,Vegetation, Forest and Landscape Ecology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,010606 plant biology & botany - Abstract
[EN] The identity of the dominant root-associated microbial symbionts in a forest determines the ability of trees to access limiting nutrients from atmospheric or soil pools, sequester carbon and withstand the effects of climate change. Characterizing the global distribution of these symbioses and identifying the factors that control this distribution are thus integral to understanding the present and future functioning of forest ecosystems. Here we generate a spatially explicit global map of the symbiotic status of forests, using a database of over 1.1 million forest inventory plots that collectively contain over 28,000 tree species. Our analyses indicate that climate variables—in particular, climatically controlled variation in the rate of decomposition—are the primary drivers of the global distribution of major symbioses. We estimate that ectomycorrhizal trees, which represent only 2% of all plant species, constitute approximately 60% of tree stems on Earth. Ectomycorrhizal symbiosis dominates forests in which seasonally cold and dry climates inhibit decomposition, and is the predominant form of symbiosis at high latitudes and elevation. By contrast, arbuscular mycorrhizal trees dominate in aseasonal, warm tropical forests, and occur with ectomycorrhizal trees in temperate biomes in which seasonally warm-and-wet climates enhance decomposition. Continental transitions between forests dominated by ectomycorrhizal or arbuscular mycorrhizal trees occur relatively abruptly along climate-driven decomposition gradients; these transitions are probably caused by positive feedback effects between plants and microorganisms. Symbiotic nitrogen fixers—which are insensitive to climatic controls on decomposition (compared with mycorrhizal fungi)—are most abundant in arid biomes with alkaline soils and high maximum temperatures. The climatically driven global symbiosis gradient that we document provides a spatially explicit quantitative understanding of microbial symbioses at the global scale, and demonstrates the critical role of microbial mutualisms in shaping the distribution of plant species., This work was made possible by the Global Forest Biodiversity Database, which represents the work of over 200 independent investigators and their public and private funding agencies (see Supplementary Acknowledgements), Supplementary information is available for this paper at https://doi.org/10.1038/s41586-019-1128-0.
- Published
- 2019
19. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations.
- Author
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Santoro, Maurizio, Cartus, Oliver, Carvalhais, Nuno, Rozendaal, Danaë, Avitabilie, Valerio, Araza, Arnan, Bruin, Sytze de, Herold, Martin, Quegan, Shaun, Veiga, Pedro Rodríguez, Balzter, Heiko, Carreiras, João, Schepaschenko, Dmitry, Korets, Mikhail, Shimada, Masanobu, Itoh, Takuya, Martínez, Álvaro Moreno, Cavlovic, Jura, Gatti, Roberto Cazzolla, and Bispo, Polyanna da Conceição
- Subjects
FOREST biomass ,TROPICAL dry forests ,SYNTHETIC aperture radar ,FOREST surveys ,REMOTE sensing ,SATELLITE-based remote sensing - Abstract
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground forest biomass (dry mass, AGB) with a spatial resolution of 1 ha. Using an extensive database of 110,897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high carbon stock forests with AGB > 250 Mg ha
−1 where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in literature (426-571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps, and identify major biases compared to inventory data, up to 120 % of the inventory value in dry tropical forests, in the sub-tropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon and socio-economic modelling schemes, and provides a crucial baseline in future carbon stock changes estimates. The dataset is available at: https://doi.pangaea.de/10.1594/PANGAEA.894711 (Santoro, 2018). [ABSTRACT FROM AUTHOR]- Published
- 2020
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20. A Coupled DEs Model for Localized Disturbances in Tropical Forests.
- Author
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Jannelli, Alessandra, Ruggieri, Marianna, Speciale, Maria Paola, Gatti, Roberto Cazzolla, Messina, Giuseppina, Velichevskaya, A. I., and Lombardo, Bianca Maria
- Subjects
TROPICAL forests ,RAIN forests ,ECOSYSTEM dynamics ,SUSTAINABILITY ,MATHEMATICAL models - Abstract
Althought commercial selective logging is considered a sustainable practice, it creates gaps and disturbance into tropical forests that could alter the ecosystem dynamics. Weeds and vines grow to fill the empty space, following the arrival of the light. This invasion alter significantly the forest in the surroundings of the cut. Here we propose a mathematical model to describe the behaviour of tropical rainforest subject to selective logging. As a preliminary result, we show the solution profile of the model and its behaviour in simulated examples. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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21. Tree species diversity of three Ghanaian reserves.
- Author
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Gatti, Roberto Cazzolla, Laurin, Gaia Vaglio, and Valentini, Riccardo
- Subjects
- *
PLANT diversity , *PLANT species , *FORESTS & forestry , *DATABASES , *ACQUISITION of data - Abstract
Among tropical areas, Africa is considered to be poor in terms of biodiversity as compared with Amazon or South-East Asia, especially with respect to forest diversity. Despite this lower diversity, some African tropical zones, such as Ghana, harbour a plethora of species, particularly of trees. Unfortunately, as a result of anthropogenic impacts, biological diversity in West Africa dramatically decreased in the last decades, with very limited reference to evaluate the amount of the loss. Due to these growing pressure, a collection of relevant biodiversity information in this region seems to be urgent. We surveyed 127 temporary plots randomly distributed within 3 protected areas in Ghana and we collected data on tree (dbh>10 cm) species richness and their abundances. We also performed α, and β diversity analyses, and estimated the effective number of species, adopting various indices and approaches to provide further information on each assemblage. The main goals of this research were: (i) to provide a wide tree species database (abundance-based data), together with some biodiversity analyses; (ii) to estimate the sampling effort needed for next biodiversity surveys in the same and similar regions; and (iii) to calculate some indices useful to monitor the future of these protected areas both in terms of conservation and biodiversity research. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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22. Biodiversity is autocatalytic.
- Author
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Gatti, Roberto Cazzolla, Hordijk, Wim, and Kauffman, Stuart
- Subjects
- *
BIODIVERSITY , *ECOSYSTEMS , *AUTOCATALYSIS , *SPECIES , *ECOLOGICAL niche - Abstract
A central question about biodiversity is how so many species can coexist within the same ecosystem. The idea that ecological niches are critical for the maintenance of species diversity has received increasing support recently. However, a niche is often considered as something static, preconditioned, and unchanging. With the “Biodiversity-related Niches Differentiation Theory” (BNDT), we recently proposed that species themselves are the architects of biodiversity, by proportionally increasing the number of potentially available niches in a given ecosystem. Along similar lines, but independently, the idea of viewing an ecosystem of interdependent species as an emergent autocatalytic set (a self-sustaining network of mutually “catalytic” entities) was suggested, where one (group of) species enables the existence of (i.e., creates niches for) other species. Here, we show that biodiversity can indeed be considered a system of autocatalytic sets, and that this view offers a possible answer to the fundamental question of why so many species can coexist in the same ecosystem. In particular, we combine the two theories (BNDT and autocatalytic sets), and provide some simple but formal examples of how this would work. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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23. The fractal nature of the latitudinal biodiversity gradient.
- Author
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GATTI, Roberto CAZZOLLA
- Published
- 2016
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24. Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana.
- Author
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Laurin, Gaia Vaglio, Hawthorne, William D., Chiti, Tommaso, Di Paola, Arianna, Gatti, Roberto Cazzolla, Marconi, Sergio, Noce, Sergio, Grieco, Elisa, Pirotti, Francesco, and Valentini, Riccardo
- Subjects
ECOSYSTEM management ,NATURE conservation ,BIODIVERSITY ,LOGGING ,LAND use - Abstract
Degradation, a reduction of the ecosystem's capacity to supply goods and services, is widespread in tropical forests and mainly caused by human disturbance. To maintain the full range of forest ecosystem services and support the development of effective conservation policies, we must understand the overall impact of degradation on different forest resources. This research investigates the response to disturbance of forest structure using several indicators: soil carbon content, arboreal richness and biodiversity, functional composition (guild and wood density), and productivity. We drew upon large field and remote sensing datasets from different forest types in Ghana, characterized by varied protection status, to investigate impacts of selective logging, and of illegal land use and resources extraction, which are the main disturbance causes in West Africa. Results indicate that functional composition and the overall number of species are less affected by degradation, while forest structure, soil carbon content and species abundance are seriously impacted, with resources distribution reflecting the protection level of the areas. Remote sensing analysis showed an increase in productivity in the last three decades, with higher resiliency to change in drier forest types, and stronger productivity correlation with solar radiation in the short dry season. The study region is affected by growing anthropogenic pressure on natural resources and by an increased climate variability: possible interactions of disturbance with climate are also discussed, together with the urgency to reduce degradation in order to preserve the full range of ecosystem functions. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
25. Quantifying Changes in Plant Species Diversity in a Savanna Ecosystem Through Observed and Remotely Sensed Data.
- Author
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Chapungu, Lazarus, Nhamo, Luxon, Gatti, Roberto Cazzolla, and Chitakira, Munyaradzi
- Abstract
This study examined the impact of climate change on plant species diversity of a savanna ecosystem, through an assessment of climatic trends over a period of forty years (1974–2014) using Masvingo Province, Zimbabwe, as a case study. The normalised difference vegetation index (NDVI) was used as a proxy for plant species diversity to cover for the absence of long-term historical plant diversity data. Observed precipitation and temperature data collected over the review period were compared with the trends in NDVI to understand the impact of climate change on plant species diversity over time. The nonaligned block sampling design was used as the sampling framework, from which 198 sampling plots were identified. Data sources included satellite images, field measurements, and direct observations. Temperature and precipitation had significant (p < 0.05) trends over the period under study. However, the trend for seasonal total precipitation was not significant but declining. Significant correlations (p < 0.001) were identified between various climate variables and the Shannon index of diversity. NDVI was also significantly correlated to the Shannon index of diversity. The declining trend of plant species in savanna ecosystems is directly linked to the decreasing precipitation and increasing temperatures. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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26. Some biological aspects of juveniles of the rough ray, Raja radula Delaroche, 1809 in Eastern Sicily (central Mediterranean Sea).
- Author
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Tiralongo, Francesco, Messina, Giuseppina, Gatti, Roberto Cazzolla, Tibullo, Daniele, and Lombardo, Bianca Maria
- Subjects
- *
CRUSTACEA , *GROUNDFISHES , *BENTHIC animals , *AQUATIC animals , *BENTHIC ecology - Abstract
Abstract Several biological aspects of juvenile specimens of Raja radula were investigated from February to May 2017 in the central Mediterranean Sea. Diet, sex ratio, disc width-weight relationships, and size-frequency distribution were analyzed. Stomach content analysis of 127 collected specimens showed that juveniles of R. radula actively feed on small benthic crustaceans, particularly on amphipods and isopods (Idotea balthica) (%IRI values of 62.74% and 12.39%, respectively). Although the Levin's index value (B i = 0.44) indicated that juveniles of R. radula are a moderately stenophagous feeders, active mostly on crustaceans, the analysis of the prey-specific (P i) biomass of the main preys vs. the frequency of their occurrence (%F) showed no clear dominance. The analysis of the sex ratio showed no significant difference in sex distribution. However, there were significant differences in mean size between sexes: females were, on average, larger than males, and also the b value (slope of the curve) of the disc width-weight relationships was higher in females. Highlights • Raja radula juveniles mainly feed on benthic crustaceans. • A total of 3 main groups were found in their stomachs: Mollusca, Polychaeta and Crustacea. • Females were, on average, larger than males. • Amphipods and isopods were important food items. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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27. An integrated pan-tropical biomass map using multiple reference datasets.
- Author
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Avitabile V, Herold M, Heuvelink GB, Lewis SL, Phillips OL, Asner GP, Armston J, Ashton PS, Banin L, Bayol N, Berry NJ, Boeckx P, de Jong BH, DeVries B, Girardin CA, Kearsley E, Lindsell JA, Lopez-Gonzalez G, Lucas R, Malhi Y, Morel A, Mitchard ET, Nagy L, Qie L, Quinones MJ, Ryan CM, Ferry SJ, Sunderland T, Laurin GV, Gatti RC, Valentini R, Verbeeck H, Wijaya A, and Willcock S
- Subjects
- Datasets as Topic, Models, Theoretical, Trees, Tropical Climate, Biomass, 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 14 477 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 5 Mg dry mass ha(-1) vs. 21 and 28 Mg ha(-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., (© 2015 John Wiley & Sons Ltd.)
- Published
- 2016
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28. Evolution is a cooperative process: the biodiversity-related niches differentiation theory (BNDT) can explain why.
- Author
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Gatti RC
- Subjects
- Animals, Cell Differentiation, Evolution, Molecular, Humans, Phenotype, Phylogeny, Species Specificity, Biodiversity, Biological Evolution, Ecosystem, Genomics, Models, Biological
- Abstract
A. McFayden and G.E. Hutchinson defined a niche as a multidimensional space or hypervolume within the environment that allows an individual or a species to survive, we consider niches as a fundamental ecological variable that regulate species' composition and relation in ecosystems. Successively the niche concept has been associated to the genetic term "phenotype" by MacArthurstressing the importance on what a species or a genome can show outside, either in the environmental functions or in body characteristics. Several indexes have been developed to evaluate the grade of overlapping and similarities of species' niches, even utilizing the theory of information. However, which are the factors that determine the number of species that can coexist in a determinate environment and why a generalist species do not compete until the exclusion of the remaining species to maximize its fitness, is still quite unknown. Moreover, there are few studies and theories that clearly explain why the number of niches is so variable through ecosystems and how can several species live in the same basal niche, intended in a comprehensive sense as the range of basic conditions (temperature, humidity, food-guild, etc.). Here I show that the number of niches in an ecosystem depends on the number of species present in a particular moment and that the species themselves allow the enhancement of niches in terms of space and number. I found that using a three-dimensional model as hypervolume and testing the theory on a Mediterranean, temperate and tropical forest ecosystem it is possible to demonstrate that each species plays a fundamental role in facilitating the colonization by other species by simply modifying the environment and exponentially increasing the available niches' space and number. I resumed these hypothesis, after some preliminary empiric tests, in the Biodiversity-related Niches Differentiation Theory (BNDT), stressing with these definition that the process of niches differentiation is strictly addressed by species. This approach has various consequences, first in consideration of relations among species and second in terms of a better understanding of cooperation/competition dynamics.
- Published
- 2011
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