Pan-tropical prediction of forest structure from the largest trees
Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotel...
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oai:repositorio:1-16836 Pan-tropical prediction of forest structure from the largest trees Bastin, Jean François Rutishauser, Ervan Kellner, James R. Saatchi, Sassan S. Pélissier, Raphaël Hérault, Bruno Slik, Ferry J.W. Bogaert, Jan Cannière, Charles de Marshall, Andrew Robert Poulsen, John R. Alvarez-Loyayza, Patricia Andrade, Ana C.S. Angbonga-Basia, Albert Araujo-Murakami, Alejandro Arroyo, Luzmila P. Ayyappan, Narayanan Azevedo, Celso Paulo de Bánki, Olaf S. Barbier, Nicolas S. Barroso, Jorcely Beeckman, Hans Bitariho, Robert Boeckx, Pascal Boehning-Gaese, Katrin Brandão, Hilandia Brearley, Francis Q. Mireille, Breuer-ndoundou Hockemba, Brienen, Roel J.W. Camargo, José Luís Campana Campos-Arceiz, Ahimsa Cassart, Benoît Chave, Jérôme Chazdon, Robin L. Chuyong, George Bindeh Clark, David B. Clark, Connie J. Condit, Richard S. Honorio Coronado, Euridice N. Davidar, Priya Haulleville, Thalès de Descroix, Laurent Doucet, Jean Louis Dourdain, Aurélie Droissart, Vincent Duncan, Tom Silva-Espejo, Javier Eduardo Espinosa, Santiago Farwig, Nina Fayolle, Adeline Feldpausch, Ted R. Ferraz, António Fletcher, Christine Dawn Gajapersad, Krisna Gillet, Jean François Amaral, Iêda Leão do Gonmadje, Christelle Flore Grogan, James Harris, David J. Herzog, Sebastian K. Homeier, Jürgen Hubau, Wannes Hubbell, Stephen P. Hufkens, Koen Hurtado, Johanna Kamdem, Narcisse Guy Kearsley, Elizabeth Kenfack, David Kessler, Michael Labrière, Nicolas Laumonier, Yves Laurance, Susan G.W. Laurance, William F. Lewis, Simon L. Libalah, Moses Bakonck Ligot, Gauthier Lloyd, Jon Lovejoy, Thomas E. Malhi, Yadvinder Singh Marimon, Beatriz Schwantes Marimon Júnior, Ben Hur Martin, Emanuel H. Matius, Paulus Meyer, Victoria Mendoza Bautista, Casimero Monteagudo-Mendoza, Abel Mtui, Arafat S. Neill, David A. Parada Gutierrez, Germaine Alexander Pardo, Guido Parren, Marc P.E. Parthasarathy, Narayanaswamy Phillips, Oliver L. Pitman, Nigel C.A. Ploton, Pierre Ponette, Quentin Ramesh, Brahmasamudra Ranganna Razafimahaimodison, Jean Claude A. Réjou-Méchain, Maxime Rolim, Samir Gonçalves Romero-Saltos, Hugo Rossi, Luiz Marcelo Brum Spironello, Wilson Roberto Rovero, F. Saner, Philippe Sasaki, Denise Schulze, Mark D. Silveira, Marcos Singh, James Sist, Plinio L.J. Sonké, Bonaventure Soto, J. Daniel Souza, Cíntia Rodrigues de Stropp, Juliana Sullivan, Martin J.P. Swanepoel, Ben Steege, Hans Ter Terborgh, John W. Texier, Nicolas Toma, Takeshi Valencia, Renato L. Valenzuela, Luis Ferreira, Leandro Valle Valverde, Fernando Cornejo van Andel, Tinde Vasque, Rodolfo Verbeeck, Hans Vivek, Pandi Jason, Vleminckx, Vos, Vincent A. Wagner, Fabien H. Warsudi, Papi Puspa Wortel, Verginia Zagt, Roderick J. Zebaze, Donatien Carbon Cycle Climate Change Data Set Deforestation Emission Control Forest Ecosystem Prediction Tropical Forest Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location: Pan-tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50–70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change. © 2018 John Wiley & Sons Ltd 2020-06-15T21:36:39Z 2020-06-15T21:36:39Z 2018 Artigo https://repositorio.inpa.gov.br/handle/1/16836 10.1111/geb.12803 en Volume 27, Número 11, Pags. 1366-1383 Restrito Global Ecology and Biogeography |
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Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Carbon Cycle Climate Change Data Set Deforestation Emission Control Forest Ecosystem Prediction Tropical Forest |
| spellingShingle |
Carbon Cycle Climate Change Data Set Deforestation Emission Control Forest Ecosystem Prediction Tropical Forest Bastin, Jean François Pan-tropical prediction of forest structure from the largest trees |
| topic_facet |
Carbon Cycle Climate Change Data Set Deforestation Emission Control Forest Ecosystem Prediction Tropical Forest |
| description |
Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location: Pan-tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50–70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change. © 2018 John Wiley & Sons Ltd |
| format |
Artigo |
| author |
Bastin, Jean François |
| author2 |
Rutishauser, Ervan Kellner, James R. Saatchi, Sassan S. Pélissier, Raphaël Hérault, Bruno Slik, Ferry J.W. Bogaert, Jan Cannière, Charles de Marshall, Andrew Robert Poulsen, John R. Alvarez-Loyayza, Patricia Andrade, Ana C.S. Angbonga-Basia, Albert Araujo-Murakami, Alejandro Arroyo, Luzmila P. Ayyappan, Narayanan Azevedo, Celso Paulo de Bánki, Olaf S. Barbier, Nicolas S. Barroso, Jorcely Beeckman, Hans Bitariho, Robert Boeckx, Pascal Boehning-Gaese, Katrin Brandão, Hilandia Brearley, Francis Q. Mireille, Breuer-ndoundou Hockemba, Brienen, Roel J.W. Camargo, José Luís Campana Campos-Arceiz, Ahimsa Cassart, Benoît Chave, Jérôme Chazdon, Robin L. Chuyong, George Bindeh Clark, David B. Clark, Connie J. Condit, Richard S. Honorio Coronado, Euridice N. Davidar, Priya Haulleville, Thalès de Descroix, Laurent Doucet, Jean Louis Dourdain, Aurélie Droissart, Vincent Duncan, Tom Silva-Espejo, Javier Eduardo Espinosa, Santiago Farwig, Nina Fayolle, Adeline Feldpausch, Ted R. Ferraz, António Fletcher, Christine Dawn Gajapersad, Krisna Gillet, Jean François Amaral, Iêda Leão do Gonmadje, Christelle Flore Grogan, James Harris, David J. Herzog, Sebastian K. Homeier, Jürgen Hubau, Wannes Hubbell, Stephen P. Hufkens, Koen Hurtado, Johanna Kamdem, Narcisse Guy Kearsley, Elizabeth Kenfack, David Kessler, Michael Labrière, Nicolas Laumonier, Yves Laurance, Susan G.W. Laurance, William F. Lewis, Simon L. Libalah, Moses Bakonck Ligot, Gauthier Lloyd, Jon Lovejoy, Thomas E. Malhi, Yadvinder Singh Marimon, Beatriz Schwantes Marimon Júnior, Ben Hur Martin, Emanuel H. Matius, Paulus Meyer, Victoria Mendoza Bautista, Casimero Monteagudo-Mendoza, Abel Mtui, Arafat S. Neill, David A. Parada Gutierrez, Germaine Alexander Pardo, Guido Parren, Marc P.E. Parthasarathy, Narayanaswamy Phillips, Oliver L. Pitman, Nigel C.A. Ploton, Pierre Ponette, Quentin Ramesh, Brahmasamudra Ranganna Razafimahaimodison, Jean Claude A. Réjou-Méchain, Maxime Rolim, Samir Gonçalves Romero-Saltos, Hugo Rossi, Luiz Marcelo Brum Spironello, Wilson Roberto Rovero, F. Saner, Philippe Sasaki, Denise Schulze, Mark D. Silveira, Marcos Singh, James Sist, Plinio L.J. Sonké, Bonaventure Soto, J. Daniel Souza, Cíntia Rodrigues de Stropp, Juliana Sullivan, Martin J.P. Swanepoel, Ben Steege, Hans Ter Terborgh, John W. Texier, Nicolas Toma, Takeshi Valencia, Renato L. Valenzuela, Luis Ferreira, Leandro Valle Valverde, Fernando Cornejo van Andel, Tinde Vasque, Rodolfo Verbeeck, Hans Vivek, Pandi Jason, Vleminckx, Vos, Vincent A. Wagner, Fabien H. Warsudi, Papi Puspa Wortel, Verginia Zagt, Roderick J. Zebaze, Donatien |
| author2Str |
Rutishauser, Ervan Kellner, James R. Saatchi, Sassan S. Pélissier, Raphaël Hérault, Bruno Slik, Ferry J.W. Bogaert, Jan Cannière, Charles de Marshall, Andrew Robert Poulsen, John R. Alvarez-Loyayza, Patricia Andrade, Ana C.S. Angbonga-Basia, Albert Araujo-Murakami, Alejandro Arroyo, Luzmila P. Ayyappan, Narayanan Azevedo, Celso Paulo de Bánki, Olaf S. Barbier, Nicolas S. Barroso, Jorcely Beeckman, Hans Bitariho, Robert Boeckx, Pascal Boehning-Gaese, Katrin Brandão, Hilandia Brearley, Francis Q. Mireille, Breuer-ndoundou Hockemba, Brienen, Roel J.W. Camargo, José Luís Campana Campos-Arceiz, Ahimsa Cassart, Benoît Chave, Jérôme Chazdon, Robin L. Chuyong, George Bindeh Clark, David B. Clark, Connie J. Condit, Richard S. Honorio Coronado, Euridice N. Davidar, Priya Haulleville, Thalès de Descroix, Laurent Doucet, Jean Louis Dourdain, Aurélie Droissart, Vincent Duncan, Tom Silva-Espejo, Javier Eduardo Espinosa, Santiago Farwig, Nina Fayolle, Adeline Feldpausch, Ted R. Ferraz, António Fletcher, Christine Dawn Gajapersad, Krisna Gillet, Jean François Amaral, Iêda Leão do Gonmadje, Christelle Flore Grogan, James Harris, David J. Herzog, Sebastian K. Homeier, Jürgen Hubau, Wannes Hubbell, Stephen P. Hufkens, Koen Hurtado, Johanna Kamdem, Narcisse Guy Kearsley, Elizabeth Kenfack, David Kessler, Michael Labrière, Nicolas Laumonier, Yves Laurance, Susan G.W. Laurance, William F. Lewis, Simon L. Libalah, Moses Bakonck Ligot, Gauthier Lloyd, Jon Lovejoy, Thomas E. Malhi, Yadvinder Singh Marimon, Beatriz Schwantes Marimon Júnior, Ben Hur Martin, Emanuel H. Matius, Paulus Meyer, Victoria Mendoza Bautista, Casimero Monteagudo-Mendoza, Abel Mtui, Arafat S. Neill, David A. Parada Gutierrez, Germaine Alexander Pardo, Guido Parren, Marc P.E. Parthasarathy, Narayanaswamy Phillips, Oliver L. Pitman, Nigel C.A. Ploton, Pierre Ponette, Quentin Ramesh, Brahmasamudra Ranganna Razafimahaimodison, Jean Claude A. Réjou-Méchain, Maxime Rolim, Samir Gonçalves Romero-Saltos, Hugo Rossi, Luiz Marcelo Brum Spironello, Wilson Roberto Rovero, F. Saner, Philippe Sasaki, Denise Schulze, Mark D. Silveira, Marcos Singh, James Sist, Plinio L.J. Sonké, Bonaventure Soto, J. Daniel Souza, Cíntia Rodrigues de Stropp, Juliana Sullivan, Martin J.P. Swanepoel, Ben Steege, Hans Ter Terborgh, John W. Texier, Nicolas Toma, Takeshi Valencia, Renato L. Valenzuela, Luis Ferreira, Leandro Valle Valverde, Fernando Cornejo van Andel, Tinde Vasque, Rodolfo Verbeeck, Hans Vivek, Pandi Jason, Vleminckx, Vos, Vincent A. Wagner, Fabien H. Warsudi, Papi Puspa Wortel, Verginia Zagt, Roderick J. Zebaze, Donatien |
| title |
Pan-tropical prediction of forest structure from the largest trees |
| title_short |
Pan-tropical prediction of forest structure from the largest trees |
| title_full |
Pan-tropical prediction of forest structure from the largest trees |
| title_fullStr |
Pan-tropical prediction of forest structure from the largest trees |
| title_full_unstemmed |
Pan-tropical prediction of forest structure from the largest trees |
| title_sort |
pan-tropical prediction of forest structure from the largest trees |
| publisher |
Global Ecology and Biogeography |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/16836 |
| _version_ |
1787142947682123776 |
| score |
11.675608 |