Pan-tropical prediction of forest structure from the largest trees
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 sen...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/111872 |
| _version_ | 1855535076553523200 |
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| author | Bastin, J.F. Rutishauser, E. Kellner, J.R. Saatchi, S. Pélissier, R. Hérault, B. Slik, F. Bogaert, J. Cannière, C. de Marshall, A.R. Poulsen, J. Álvarez Loyayza, P. Andrade, A. Angbonga-Basia, A. Araújo Murakami, Alejandro Arroyo, L. Ayyappan, N. Paulo de Azevedo, C. Banki, O. Barbier, N. Barroso, Jorcely G. Beeckman, H. Bitariho, R. Boeckx, P. Boehning-Gaese, K. Brandao, H. Brearley, F.Q. Breuer Ndoundou Hockemba, M. Brienen, R. Camargo, J.L.C. Campos Arceiz, A. Cassart, B. Chave, J. Chazdon, R. Chuyong, G.B. Clark, D.B. Clark, C.J. Condit, R. Honorio Coronado, E.N. Davidar, P. Haulleville, T. de Descroix, L. Doucet, J-L. Dourdain, A. Droissart, V. Duncan, T. Silva Espejo, J.E. Espinosa, S. Farwig, N. Fayolle, A. Feldpausch, T.R. Ferraz, A. Fletcher, C. Gajapersad, K. Gillet, J.F. Leao do Amaral, I. Gonmadje, C. Grogan, J. Harris, D. Herzog, S.K. Homeier, J. Hubau, W. Hubbell, S.P. Hufkens, K. Hurtado, J. Kamdem, N.G. Kearsley, E. Kenfack, D. Kessler, M. Labrière, N. Laumonier, Y. Laurance, S.G.W. Laurance, W.F. Lewis, S.L. Libalah, M.B. Ligot, G. Lloyd, J. Lovejoy, Thomas E. Malhi, Y. Marimon, B.S. Marimon Junior, B.H. Martin, E.H. Matius, P. Meyer, V. Mendoza Bautista, C. Monteagudo Mendoza, Abel L. Mtui, A. Neill, D. Parada Gutierrez, G.A. Pardo, G. Parren, M. Parthasarathy, N. Phillips, Oliver L. Pitman, N.C.A. Ploton, P. Ponette, Q. Ramesh, B.R. Razafimahaimodison, J-C. Réjou-Méchain, M. Gonçalves Rolim, S. Romero Saltos, H. Brum Rossi, L.M. Spironello, W.R. Rovero, F. Saner, P. Sasaki, D. Schulze, M. Silveira, M. Singh, J. Sist, P. Sonke, B. Soto, J.D. Rodrigues de Souza, C. Stropp, J. Sullivan, M.J.P. Swanepoel, B. Ter Steege, H. Terborgh, J. Texier, N. Toma, T. Valencia, R. Valenzuela, L. Valle Ferreira, L. Cornejo Valverde, F. Andel, T.R. van Vásque, R. Verbeeck, H. Vivek, P. Vleminckx, J. Vos, V.A. Wagner, F.H. Warsudi, P.P. Wortel, V. Zagt, R.J. Zebaze, D. |
| author_browse | Andel, T.R. van Andrade, A. Angbonga-Basia, A. Araújo Murakami, Alejandro Arroyo, L. Ayyappan, N. Banki, O. Barbier, N. Barroso, Jorcely G. Bastin, J.F. Beeckman, H. Bitariho, R. Boeckx, P. Boehning-Gaese, K. Bogaert, J. Brandao, H. Brearley, F.Q. Breuer Ndoundou Hockemba, M. Brienen, R. Brum Rossi, L.M. Camargo, J.L.C. Campos Arceiz, A. Cannière, C. de Cassart, B. Chave, J. Chazdon, R. Chuyong, G.B. Clark, C.J. Clark, D.B. Condit, R. Cornejo Valverde, F. Davidar, P. Descroix, L. Doucet, J-L. Dourdain, A. Droissart, V. Duncan, T. Espinosa, S. Farwig, N. Fayolle, A. Feldpausch, T.R. Ferraz, A. Fletcher, C. Gajapersad, K. Gillet, J.F. Gonmadje, C. Gonçalves Rolim, S. Grogan, J. Harris, D. Haulleville, T. de Herzog, S.K. Homeier, J. Honorio Coronado, E.N. Hubau, W. Hubbell, S.P. Hufkens, K. Hurtado, J. Hérault, B. Kamdem, N.G. Kearsley, E. Kellner, J.R. Kenfack, D. Kessler, M. Labrière, N. Laumonier, Y. Laurance, S.G.W. Laurance, W.F. Leao do Amaral, I. Lewis, S.L. Libalah, M.B. Ligot, G. Lloyd, J. Lovejoy, Thomas E. Malhi, Y. Marimon Junior, B.H. Marimon, B.S. Marshall, A.R. Martin, E.H. Matius, P. Mendoza Bautista, C. Meyer, V. Monteagudo Mendoza, Abel L. Mtui, A. Neill, D. Parada Gutierrez, G.A. Pardo, G. Parren, M. Parthasarathy, N. Paulo de Azevedo, C. Phillips, Oliver L. Pitman, N.C.A. Ploton, P. Ponette, Q. Poulsen, J. Pélissier, R. Ramesh, B.R. Razafimahaimodison, J-C. Rodrigues de Souza, C. Romero Saltos, H. Rovero, F. Rutishauser, E. Réjou-Méchain, M. Saatchi, S. Saner, P. Sasaki, D. Schulze, M. Silva Espejo, J.E. Silveira, M. Singh, J. Sist, P. Slik, F. Sonke, B. Soto, J.D. Spironello, W.R. Stropp, J. Sullivan, M.J.P. Swanepoel, B. Ter Steege, H. Terborgh, J. Texier, N. Toma, T. Valencia, R. Valenzuela, L. Valle Ferreira, L. Verbeeck, H. Vivek, P. Vleminckx, J. Vos, V.A. Vásque, R. Wagner, F.H. Warsudi, P.P. Wortel, V. Zagt, R.J. Zebaze, D. Álvarez Loyayza, P. |
| author_facet | Bastin, J.F. Rutishauser, E. Kellner, J.R. Saatchi, S. Pélissier, R. Hérault, B. Slik, F. Bogaert, J. Cannière, C. de Marshall, A.R. Poulsen, J. Álvarez Loyayza, P. Andrade, A. Angbonga-Basia, A. Araújo Murakami, Alejandro Arroyo, L. Ayyappan, N. Paulo de Azevedo, C. Banki, O. Barbier, N. Barroso, Jorcely G. Beeckman, H. Bitariho, R. Boeckx, P. Boehning-Gaese, K. Brandao, H. Brearley, F.Q. Breuer Ndoundou Hockemba, M. Brienen, R. Camargo, J.L.C. Campos Arceiz, A. Cassart, B. Chave, J. Chazdon, R. Chuyong, G.B. Clark, D.B. Clark, C.J. Condit, R. Honorio Coronado, E.N. Davidar, P. Haulleville, T. de Descroix, L. Doucet, J-L. Dourdain, A. Droissart, V. Duncan, T. Silva Espejo, J.E. Espinosa, S. Farwig, N. Fayolle, A. Feldpausch, T.R. Ferraz, A. Fletcher, C. Gajapersad, K. Gillet, J.F. Leao do Amaral, I. Gonmadje, C. Grogan, J. Harris, D. Herzog, S.K. Homeier, J. Hubau, W. Hubbell, S.P. Hufkens, K. Hurtado, J. Kamdem, N.G. Kearsley, E. Kenfack, D. Kessler, M. Labrière, N. Laumonier, Y. Laurance, S.G.W. Laurance, W.F. Lewis, S.L. Libalah, M.B. Ligot, G. Lloyd, J. Lovejoy, Thomas E. Malhi, Y. Marimon, B.S. Marimon Junior, B.H. Martin, E.H. Matius, P. Meyer, V. Mendoza Bautista, C. Monteagudo Mendoza, Abel L. Mtui, A. Neill, D. Parada Gutierrez, G.A. Pardo, G. Parren, M. Parthasarathy, N. Phillips, Oliver L. Pitman, N.C.A. Ploton, P. Ponette, Q. Ramesh, B.R. Razafimahaimodison, J-C. Réjou-Méchain, M. Gonçalves Rolim, S. Romero Saltos, H. Brum Rossi, L.M. Spironello, W.R. Rovero, F. Saner, P. Sasaki, D. Schulze, M. Silveira, M. Singh, J. Sist, P. Sonke, B. Soto, J.D. Rodrigues de Souza, C. Stropp, J. Sullivan, M.J.P. Swanepoel, B. Ter Steege, H. Terborgh, J. Texier, N. Toma, T. Valencia, R. Valenzuela, L. Valle Ferreira, L. Cornejo Valverde, F. Andel, T.R. van Vásque, R. Verbeeck, H. Vivek, P. Vleminckx, J. Vos, V.A. Wagner, F.H. Warsudi, P.P. Wortel, V. Zagt, R.J. Zebaze, D. |
| author_sort | Bastin, J.F. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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.Pan‐tropical.Early 21st century.Woody plants.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.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.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. |
| format | Journal Article |
| id | CGSpace111872 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1118722024-08-27T10:36:47Z Pan-tropical prediction of forest structure from the largest trees Bastin, J.F. Rutishauser, E. Kellner, J.R. Saatchi, S. Pélissier, R. Hérault, B. Slik, F. Bogaert, J. Cannière, C. de Marshall, A.R. Poulsen, J. Álvarez Loyayza, P. Andrade, A. Angbonga-Basia, A. Araújo Murakami, Alejandro Arroyo, L. Ayyappan, N. Paulo de Azevedo, C. Banki, O. Barbier, N. Barroso, Jorcely G. Beeckman, H. Bitariho, R. Boeckx, P. Boehning-Gaese, K. Brandao, H. Brearley, F.Q. Breuer Ndoundou Hockemba, M. Brienen, R. Camargo, J.L.C. Campos Arceiz, A. Cassart, B. Chave, J. Chazdon, R. Chuyong, G.B. Clark, D.B. Clark, C.J. Condit, R. Honorio Coronado, E.N. Davidar, P. Haulleville, T. de Descroix, L. Doucet, J-L. Dourdain, A. Droissart, V. Duncan, T. Silva Espejo, J.E. Espinosa, S. Farwig, N. Fayolle, A. Feldpausch, T.R. Ferraz, A. Fletcher, C. Gajapersad, K. Gillet, J.F. Leao do Amaral, I. Gonmadje, C. Grogan, J. Harris, D. Herzog, S.K. Homeier, J. Hubau, W. Hubbell, S.P. Hufkens, K. Hurtado, J. Kamdem, N.G. Kearsley, E. Kenfack, D. Kessler, M. Labrière, N. Laumonier, Y. Laurance, S.G.W. Laurance, W.F. Lewis, S.L. Libalah, M.B. Ligot, G. Lloyd, J. Lovejoy, Thomas E. Malhi, Y. Marimon, B.S. Marimon Junior, B.H. Martin, E.H. Matius, P. Meyer, V. Mendoza Bautista, C. Monteagudo Mendoza, Abel L. Mtui, A. Neill, D. Parada Gutierrez, G.A. Pardo, G. Parren, M. Parthasarathy, N. Phillips, Oliver L. Pitman, N.C.A. Ploton, P. Ponette, Q. Ramesh, B.R. Razafimahaimodison, J-C. Réjou-Méchain, M. Gonçalves Rolim, S. Romero Saltos, H. Brum Rossi, L.M. Spironello, W.R. Rovero, F. Saner, P. Sasaki, D. Schulze, M. Silveira, M. Singh, J. Sist, P. Sonke, B. Soto, J.D. Rodrigues de Souza, C. Stropp, J. Sullivan, M.J.P. Swanepoel, B. Ter Steege, H. Terborgh, J. Texier, N. Toma, T. Valencia, R. Valenzuela, L. Valle Ferreira, L. Cornejo Valverde, F. Andel, T.R. van Vásque, R. Verbeeck, H. Vivek, P. Vleminckx, J. Vos, V.A. Wagner, F.H. Warsudi, P.P. Wortel, V. Zagt, R.J. Zebaze, D. trees carbon climate change tropical forests 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.Pan‐tropical.Early 21st century.Woody plants.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.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.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. 2018-11 2021-03-08T08:14:46Z 2021-03-08T08:14:46Z Journal Article https://hdl.handle.net/10568/111872 en Limited Access Wiley Bastin, J-F., Rutishauser, E., Kellner, J.R., Saatchi, S., Pélissier, R., Hérault, B., Slik, F., Bogaert, J., De Cannière, C., Marshall, A.R., Poulsen, J., Alvarez-Loyayza, P., Andrade, A., Angbonga-Basia, A., Araujo-Murakami, A., Arroyo, L., Ayyappan, N., Paulo de Azevedo, C., Banki, O., Barbier, N., Barroso, J.G., Beeckman, H., Bitariho, R., Boeckx, P., Boehning-Gaese, K., Brandao, H., Brearley, F.Q., Breuer Ndoundou Hockemba, M., Brienen, R., Camargo, J.L.C., Campos-Arceiz, A., Cassart, B., Chave, J., Chazdon, R., Chuyong, G., Clark, D.B., Clark, C.J., Condit, R., Honorio Coronado, E.N., Davidar, P., de Haulleville, T., Descroix, L., Doucet, J-L., Dourdain, A., Droissart, V., Duncan, T., Silva Espejo, J., Espinosa, S., Farwig, N., Fayolle, A., Feldpausch, T.R., Ferraz, A., Fletcher, C., Gajapersad, K., Gillet, J-F., Leao do Amaral, I., Gonmadje, C., Grogan, J., Harris, D., Herzog, S.K., Homeier, J., Hubau, W., Hubbell, S.P., Hufkens, K., Hurtado, J., Kamdem, N.G., Kearsley, E., Kenfack, D., Kessler, M., Labrière, N., Laumonier, Y., Laurance, S., Laurance, W.F., Lewis, S.L., Libalah, M.B., Ligot, G., Lloyd, J., Lovejoy, T.E., Malhi, Y., Marimon, B.S., Marimon Junior, B.H., Martin, E.H., Matius, P., Meyer, V., Mendoza Bautista, C., Monteagudo-Mendoza, A., Mtui, A., Neill, D., Parada Gutierrez, G.A., Pardo, G., Parren, M., Parthasarathy, N., Phillips, O.L., Pitman, N.C.A., Ploton, P., Ponette, Q., Ramesh, B.R., Razafimahaimodison, J-C., Réjou-Méchain, M., Gonçalves Rolim, S., Romero Saltos, H., Brum Rossi, L.M., Spironello, W.R., Rovero, F., Saner, P., Sasaki, D., Schulze, M., Silveira, M., Singh, J., Sist, P., Sonke, B., Soto, J.D., Rodrigues de Souza, C., Stropp, J., Sullivan, M.J.P., Swanepoel, B., Ter Steege, H., Terborgh, J., Texier, N., Toma, T., Valencia, R., Valenzuela, L., Valle Ferreira, L., Cornejo Valverde, F., Van Andel, T.R., Vasque, R., Verbeeck, H., Vivek, P., Vleminckx, J., Vos, V.A., Wagner, F.H., Warsudi, P.P., Wortel, V., Zagt, R.J., Zebaze, D. 2018. Pan-tropical prediction of forest structure from the largest trees. Global Ecology and Biogeography, 27 (11): 1366-1383. https://doi.org/10.1111/geb.12803 |
| spellingShingle | trees carbon climate change tropical forests Bastin, J.F. Rutishauser, E. Kellner, J.R. Saatchi, S. Pélissier, R. Hérault, B. Slik, F. Bogaert, J. Cannière, C. de Marshall, A.R. Poulsen, J. Álvarez Loyayza, P. Andrade, A. Angbonga-Basia, A. Araújo Murakami, Alejandro Arroyo, L. Ayyappan, N. Paulo de Azevedo, C. Banki, O. Barbier, N. Barroso, Jorcely G. Beeckman, H. Bitariho, R. Boeckx, P. Boehning-Gaese, K. Brandao, H. Brearley, F.Q. Breuer Ndoundou Hockemba, M. Brienen, R. Camargo, J.L.C. Campos Arceiz, A. Cassart, B. Chave, J. Chazdon, R. Chuyong, G.B. Clark, D.B. Clark, C.J. Condit, R. Honorio Coronado, E.N. Davidar, P. Haulleville, T. de Descroix, L. Doucet, J-L. Dourdain, A. Droissart, V. Duncan, T. Silva Espejo, J.E. Espinosa, S. Farwig, N. Fayolle, A. Feldpausch, T.R. Ferraz, A. Fletcher, C. Gajapersad, K. Gillet, J.F. Leao do Amaral, I. Gonmadje, C. Grogan, J. Harris, D. Herzog, S.K. Homeier, J. Hubau, W. Hubbell, S.P. Hufkens, K. Hurtado, J. Kamdem, N.G. Kearsley, E. Kenfack, D. Kessler, M. Labrière, N. Laumonier, Y. Laurance, S.G.W. Laurance, W.F. Lewis, S.L. Libalah, M.B. Ligot, G. Lloyd, J. Lovejoy, Thomas E. Malhi, Y. Marimon, B.S. Marimon Junior, B.H. Martin, E.H. Matius, P. Meyer, V. Mendoza Bautista, C. Monteagudo Mendoza, Abel L. Mtui, A. Neill, D. Parada Gutierrez, G.A. Pardo, G. Parren, M. Parthasarathy, N. Phillips, Oliver L. Pitman, N.C.A. Ploton, P. Ponette, Q. Ramesh, B.R. Razafimahaimodison, J-C. Réjou-Méchain, M. Gonçalves Rolim, S. Romero Saltos, H. Brum Rossi, L.M. Spironello, W.R. Rovero, F. Saner, P. Sasaki, D. Schulze, M. Silveira, M. Singh, J. Sist, P. Sonke, B. Soto, J.D. Rodrigues de Souza, C. Stropp, J. Sullivan, M.J.P. Swanepoel, B. Ter Steege, H. Terborgh, J. Texier, N. Toma, T. Valencia, R. Valenzuela, L. Valle Ferreira, L. Cornejo Valverde, F. Andel, T.R. van Vásque, R. Verbeeck, H. Vivek, P. Vleminckx, J. Vos, V.A. Wagner, F.H. Warsudi, P.P. Wortel, V. Zagt, R.J. Zebaze, D. Pan-tropical prediction of forest structure from the largest trees |
| title | 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_short | Pan-tropical prediction of forest structure from the largest trees |
| title_sort | pan tropical prediction of forest structure from the largest trees |
| topic | trees carbon climate change tropical forests |
| url | https://hdl.handle.net/10568/111872 |
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cornejovalverdef pantropicalpredictionofforeststructurefromthelargesttrees AT andeltrvan pantropicalpredictionofforeststructurefromthelargesttrees AT vasquer pantropicalpredictionofforeststructurefromthelargesttrees AT verbeeckh pantropicalpredictionofforeststructurefromthelargesttrees AT vivekp pantropicalpredictionofforeststructurefromthelargesttrees AT vleminckxj pantropicalpredictionofforeststructurefromthelargesttrees AT vosva pantropicalpredictionofforeststructurefromthelargesttrees AT wagnerfh pantropicalpredictionofforeststructurefromthelargesttrees AT warsudipp pantropicalpredictionofforeststructurefromthelargesttrees AT wortelv pantropicalpredictionofforeststructurefromthelargesttrees AT zagtrj pantropicalpredictionofforeststructurefromthelargesttrees AT zebazed pantropicalpredictionofforeststructurefromthelargesttrees |