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Pan-tropical prediction of forest structure from the largest trees

Jean-Francois Bastin 1 Ervan Rutishauser 2 James Kellner Sassan Saatchi 3 Raphaël Pélissier 4 Bruno Herault 5 Ferry Slik Jan Bogaert 6 Charles de Canniere 1 Andrew Marshall 7 John Poulsen Patricia Alvarez-Loyayza Ana Andrade 8 Albert Angbonga-Basia Alejandro Araujo-Murakami 9 Luzmila Arroyo 9 Narayanan Ayyappan 10 Celso Paulo de Azevedo Olaf Banki 11 Nicolas Barbier 4 Jorcely Barroso 12 Hans Beeckman 13 Robert Bitariho Pascal Boeckx 14 Katrin Boehning-Gaese Hilandia Brandão Francis Brearley Mireille Breuer Ndoundou Hockemba Roel Brienen 15 José Luís C. Camargo 16 Ahimsa Campos-Arceiz Benoit Cassart Jérôme Chave 17 Robin Chazdon Georges Chuyong 18 David Clark 19 Connie Clark Richard Condit Euridice Honorio Coronado David Davidar Thalès de Haulleville Laurent Descroix 20 Jean-Louis Doucet 21 Aurélie Dourdain 5 Vincent Droissart 4 Thomas Duncan Javier Silva Espejo Santiago Espinosa Nina Farwig 22 Adeline Fayolle 23 Ted Feldpausch António Ferraz 3 Christine Fletcher 24 Krisna Gajapersad Jean-François Gillet 21 Iêda Leão Do Amaral Christelle Gonmadje 25 James Grogan 26 David Harris 27 Sebastian Herzog Jürgen Homeier 28 Wannes Hubau 29 Stephen Hubbell Koen Hufkens Johanna Hurtado Narcisse Kamdem Elizabeth Kearsley David Kenfack 30 Michael Kessler 31 Nicolas Labrière 32 Yves Laumonier 33 James Laurance Simon Lewis Moses Libalah 34 Gauthier Ligot Jon Lloyd 35 Thomas Lovejoy 36 Yadvinder Malhi 37 Beatriz Marimon Ben Hur Marimon 38 Emmanuel Martin 39 Paulus Matius Victoria Meyer Casimero Mendoza Bautista Abel Monteagudo-Mendoza 40 Arafat Mtui David Neill 41 Germaine Alexander Parada Gutierrez Guido Pardo 42 Marc Parren N. Parthasarathy 43 Oliver Phillips Nigel Pitman 44 Pierre Ploton 4 Quentin Ponette 45 B.R. Ramesh 10 Jean-Claude Razafimahaimodison Maxime Réjou-Méchain 4 Samir Gonçalves Rolim Hugo Romero Saltos Marc Rossi Robert Spironello Francesco Rovero 46 Philippe Saner Denise Sasaki Andrew Schulze Marc Silveira James Singh Plinio Sist 25 Bonaventure Sonké 34 J. Daniel Soto Cintia Rodrigues de Souza 47 Juliana Stropp 48 Martin Martin Ben Swanepoel Hans Steege James Terborgh Nicolas Texier 4 Takeshi Toma 49 Renato Valencia 50 Luis Valenzuela Leandro Valle Ferreira Fernando Cornejo Valverde 51 Tinde van Andel Rodolfo Vasque Hans Verbeeck 52 Pandi Vivek Jason Vleminckx Vincent Vos Fabien Wagner 53 Papi Puspa Warsudi Verginia Wortel 54 Roderick Zagt Donatien Zebaze 55
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 Time period Pan-tropical. Early 21st century. Major taxa studied Methods 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. Results Main conclusions 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.
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https://hal.archives-ouvertes.fr/hal-02102265
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Submitted on : Wednesday, April 17, 2019 - 10:52:28 AM
Last modification on : Tuesday, September 22, 2020 - 3:54:32 AM

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Jean-Francois Bastin, Ervan Rutishauser, James Kellner, Sassan Saatchi, Raphaël Pélissier, et al.. Pan-tropical prediction of forest structure from the largest trees. Global Ecology and Biogeography, Wiley, 2018, 27 (11), pp.1366-1383. ⟨10.1111/geb.12803⟩. ⟨hal-02102265⟩

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