dc.contributor.author | Bastin, JF | |
dc.contributor.author | Rutishauser, E | |
dc.contributor.author | Kellner, JR | |
dc.contributor.author | Saatchi, S | |
dc.contributor.author | Pélissier, R | |
dc.contributor.author | Hérault, B | |
dc.contributor.author | Slik, F | |
dc.contributor.author | Bogaert, J | |
dc.contributor.author | De Cannière, C | |
dc.contributor.author | Marshall, AR | |
dc.contributor.author | Poulsen, J | |
dc.contributor.author | Alvarez-Loyayza, P | |
dc.contributor.author | Andrade, A | |
dc.contributor.author | Angbonga-Basia, A | |
dc.contributor.author | Araujo-Murakami, A | |
dc.contributor.author | Arroyo, L | |
dc.contributor.author | Ayyappan, N | |
dc.contributor.author | de Azevedo, CP | |
dc.contributor.author | Banki, O | |
dc.contributor.author | Barbier, N | |
dc.contributor.author | Barroso, JG | |
dc.contributor.author | Beeckman, H | |
dc.contributor.author | Bitariho, R | |
dc.contributor.author | Boeckx, P | |
dc.contributor.author | Boehning-Gaese, K | |
dc.contributor.author | Brandão, H | |
dc.contributor.author | Brearley, FQ | |
dc.contributor.author | Breuer Ndoundou Hockemba, M | |
dc.contributor.author | Brienen, R | |
dc.contributor.author | Camargo, JLC | |
dc.contributor.author | Campos-Arceiz, A | |
dc.contributor.author | Cassart, B | |
dc.contributor.author | Chave, J | |
dc.contributor.author | Chazdon, R | |
dc.contributor.author | Chuyong, G | |
dc.contributor.author | Clark, DB | |
dc.contributor.author | Clark, CJ | |
dc.contributor.author | Condit, R | |
dc.contributor.author | Honorio Coronado, EN | |
dc.contributor.author | Davidar, P | |
dc.contributor.author | de Haulleville, T | |
dc.contributor.author | Descroix, L | |
dc.contributor.author | Doucet, JL | |
dc.contributor.author | Dourdain, A | |
dc.contributor.author | Droissart, V | |
dc.contributor.author | Duncan, T | |
dc.contributor.author | Silva Espejo, J | |
dc.contributor.author | Espinosa, S | |
dc.contributor.author | Farwig, N | |
dc.contributor.author | Fayolle, A | |
dc.contributor.author | Feldpausch, TR | |
dc.contributor.author | Ferraz, A | |
dc.contributor.author | Fletcher, C | |
dc.contributor.author | Gajapersad, K | |
dc.contributor.author | Gillet, JF | |
dc.contributor.author | Amaral, ILD | |
dc.contributor.author | Gonmadje, C | |
dc.contributor.author | Grogan, J | |
dc.contributor.author | Harris, D | |
dc.contributor.author | Herzog, SK | |
dc.contributor.author | Homeier, J | |
dc.contributor.author | Hubau, W | |
dc.contributor.author | Hubbell, SP | |
dc.contributor.author | Hufkens, K | |
dc.contributor.author | Hurtado, J | |
dc.contributor.author | Kamdem, NG | |
dc.contributor.author | Kearsley, E | |
dc.contributor.author | Kenfack, D | |
dc.contributor.author | Kessler, M | |
dc.contributor.author | Labrière, N | |
dc.contributor.author | Laumonier, Y | |
dc.contributor.author | Laurance, S | |
dc.contributor.author | Laurance, WF | |
dc.contributor.author | Lewis, SL | |
dc.contributor.author | Libalah, MB | |
dc.contributor.author | Ligot, G | |
dc.contributor.author | Lloyd, J | |
dc.contributor.author | Lovejoy, TE | |
dc.contributor.author | Malhi, Y | |
dc.contributor.author | Marimon, BS | |
dc.contributor.author | Marimon Junior, BH | |
dc.contributor.author | Martin, EH | |
dc.contributor.author | Matius, P | |
dc.date.accessioned | 2018-11-05T15:26:39Z | |
dc.date.issued | 2018-10-10 | |
dc.description.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. | en_GB |
dc.description.sponsorship | J.-F.B. was supported for data collection by the FRIA (FNRS), ERAIFT (WBI), WWF and by
the CoForTips project (ANR-12-EBID-0002); T.d.H. was supported by the COBIMFO project
(Congo Basin integrated monitoring for forest carbon mitigation and biodiversity) funded by the
Belgian Science Policy Office (Belspo); C.H.G was supported by the “Sud Expert Plantes”
project of French Foreign Affairs, CIRAD and SCAC. Part of data in this paper was provided
by the RAINFOR Network, the AfriTRON network, TEAM Network, the partnership between
Conservation International, The Missouri Botanical Garden, The Smithsonian Institution and
The Wildlife Conservation Society, and these institutions and the Gordon and Betty Moore
Foundation. This is [number to be completed] publication of the technical series of the
Biological Dynamics of Forest Fragment Project (INPA/STRI). We acknowledge data
contributions from the TEAM network not listed as co-authors (upon voluntary basis). We thank
Jean-Phillipe Puyravaud, Estação Científica Ferreira Penna (MPEG) and the Andrew Mellon
Foundation and National Science Foundation (DEB 0742830). The forest plots in Nova
Xavantina and Southern Amazonia, Brazil was funded by grants from Project PELD645
CNPq/FAPEMAT (403725/2012-7; 441244/2016-5; 164131/2013); CNPq-PPBio
(457602/2012-0); productivity grants (CNPq/PQ-2) to B. H. Marimon-Junior and B. S. Marimon;
Project USA-NAS/PEER (#PGA-2000005316) and Project ReFlor FAPEMAT 0589267/2016. | en_GB |
dc.identifier.citation | Vol. 27 (11), pp. 1366-1383. | en_GB |
dc.identifier.doi | 10.1111/geb.12803 | |
dc.identifier.uri | http://hdl.handle.net/10871/34650 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.rights.embargoreason | Under embargo until 10 October 2019 in compliance with publisher policy. | en_GB |
dc.rights | © 2018 John Wiley & Sons Ltd. | |
dc.title | Pan-tropical prediction of forest structure from the largest trees | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 1466-822X | |
dc.description | This is the author accepted manuscript. The final version is available from Wiley via the DOI in this record. | en_GB |
dc.identifier.journal | Global Ecology and Biogeography | en_GB |