Seeing Central African forests through their largest trees

• DOI: 10.1038/srep13156
• Publication Date: 2015-08-17T09:30:34Z
• Authors: J.-F. Bastin; N. Barbier; M. Réjou-Méchain; A. Fayolle; S. Gourlet-Fleury; D. Maniatis; T. de Haulleville; F. Baya; H. Beeckman; D. Beina; P. Couteron; G. Chuyong; G. Dauby; J.-L. Doucet; V. Droissart; M. Dufrêne; C. Ewango; J.F. Gillet; C.H. Gonmadje; T. Hart; T. Kavali; D. Kenfack; M. Libalah; Y. Malhi; J.-R. Makana; R. Pélissier; P. Ploton; A. Serckx; B. Sonké; T. Stevart; D.W. Thomas; C. De Cannière; J. Bogaert
• Keywords: tropical forest; 570; [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics; F40 - Écologie végétale; distributions; Forests; [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy; size; Models, Biological; 01 natural sciences; Article; diversity; [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems; Phénomènes atmosphériques; K01 - Foresterie - Considérations générales; Biomass; forest ecology; biodiversity; 0105 earth and related environmental sciences; tropical forests; 580; biomass; Ecology; Forestry; Phylogenetics and taxonomy; dynamics; Biodiversity; [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics; 15. Life on land; Climatic change; climate change; [SDV.EE.ECO]Life Sciences [q-bio]/Ecology; Africa; U30 - Méthodes de recherche; Forest ecology; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; environment/Ecosystems

AbstractLarge tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies.