Article (Scientific journals)
Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data
Momo, S. T.; Ploton, P.; Martin-Ducup, O. et al.
2020In Scientific Reports, 10 (1)
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Keywords :
wood density; african trees; mass estimation; terrestrial Lazer data; LiDAR
Abstract :
[en] Wood density (WD) relates to important tree functions such as stem mechanics and resistance against pathogens. This functional trait can exhibit high intraindividual variability both radially and vertically. With the rise of LiDAR-based methodologies allowing nondestructive tree volume estimations, failing to account for WD variations related to tree function and biomass investment strategies may lead to large systematic bias in AGB estimations. Here, we use a unique destructive dataset from 822 trees belonging to 51 phylogenetically dispersed tree species harvested across forest types in Central Africa to determine vertical gradients in WD from the stump to the branch tips, how these gradients relate to regeneration guilds and their implications for AGB estimations. We find that decreasing WD from the tree base to the branch tips is characteristic of shade-tolerant species, while light-demanding and pioneer species exhibit stationary or increasing vertical trends. Across all species, the WD range is narrower in tree crowns than at the tree base, reflecting more similar physiological and mechanical constraints in the canopy. Vertical gradients in WD induce significant bias (10%) in AGB estimates when using database-derived species-average WD data. However, the correlation between the vertical gradients and basal WD allows the derivation of general correction models. With the ongoing development of remote sensing products providing 3D information for entire trees and forest stands, our findings indicate promising ways to improve greenhouse gas accounting in tropical countries and advance our understanding of adaptive strategies allowing trees to grow and survive in dense rainforests. © 2020, The Author(s).
Disciplines :
Agriculture & agronomy
Life sciences: Multidisciplinary, general & others
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
Momo, S. T.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
Ploton, P.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Martin-Ducup, O.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Lehnebach, R.;  UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Coupure Links 653, B-, Gent, 9000, Belgium
Fortunel, C.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Sagang, L. B. T.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon, AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Boyemba, F.;  University of Kisangani, Democratic Republic of Congo, Kisangani, Congo
Couteron, P.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Fayolle, Adeline  ;  Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières et des milieux naturels
Libalah, M.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
Loumeto, J.;  University of Marien Ngouabi, Brazzaville, Congo
Medjibe, V.;  Commission des Forêts d’Afrique Centrale (COMIFAC), Yaoundé, BP 20818, Cameroon
Ngomanda, A.;  Institut de Recherche en Ecologie Tropicale (IRET/CENAREST), Libreville, BP 13354, Gabon
Obiang, D.;  INDEFOR-AP, Malabo, Equatorial Guinea
Pélissier, R.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Rossi, V.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon, Commission des Forêts d’Afrique Centrale (COMIFAC), Yaoundé, BP 20818, Cameroon, RU Forests and Societies, CIRAD, Yaoundé, Cameroon
Yongo, O.;  University of Bangui, Bangui, Central African Republic
Bocko, Y.;  University of Marien Ngouabi, Brazzaville, Congo
Fonton, N.;  ONFi, Yaoundé, Cameroon
Kamdem, N.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
Katembo, J.;  University of Kisangani, Democratic Republic of Congo, Kisangani, Congo
Kondaoule, H. J.;  ONFi, Yaoundé, Cameroon
Maïdou, H. M.;  COMIFAC, Yaoundé, Cameroon
Mankou, G.;  University of Marien Ngouabi, Brazzaville, Congo
Mbasi, M.;  University of Kisangani, Democratic Republic of Congo, Kisangani, Congo
Mengui, T.;  University of Bangui, Bangui, Central African Republic
Mofack, G. I. I.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
Moundounga, C.;  Institut de Recherche en Ecologie Tropicale (IRET/CENAREST), Libreville, BP 13354, Gabon
Moundounga, Q.;  Institut de Recherche en Ecologie Tropicale (IRET/CENAREST), Libreville, BP 13354, Gabon
Nguimbous, L.;  COMIFAC, Yaoundé, Cameroon
Ncham, N. N.;  INDEFOR-AP, Malabo, Equatorial Guinea
Asue, F. O. M.;  INDEFOR-AP, Malabo, Equatorial Guinea
Senguela, Y.-P.;  University of Bangui, Bangui, Central African Republic
Viard, L.;  ONFi, Yaoundé, Cameroon
Zapfack, L.;  University of Yaoundé 1, Yaoundé, Cameroon
Sonké, B.;  Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers’ Training College, University of Yaoundé I, P.O. Box 047, Yaoundé, Cameroon
Barbier, N.;  AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
PREREDD Collaborators
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Language :
English
Title :
Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data
Publication date :
January 2020
Journal title :
Scientific Reports
eISSN :
2045-2322
Publisher :
Nature Research
Volume :
10
Issue :
1
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Institut de Recherche pour le Développement, IRD: 07/2015-10/2016
Available on ORBi :
since 16 December 2021

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