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Title: Pan-tropical prediction of forest structure from the largest trees
Authors: 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
Keywords: Carbon Cycle
Climate Change
Data Set
Emission Control
Forest Ecosystem
Tropical Forest
Issue Date: 2018
metadata.dc.publisher.journal: Global Ecology and Biogeography
metadata.dc.relation.ispartof: Volume 27, Número 11, Pags. 1366-1383
Abstract: 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
metadata.dc.identifier.doi: 10.1111/geb.12803
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