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Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures

Nicolas Picard 1 Frédéric Mortier 2, 3 Pierre Ploton 4 Jingjing Liang 5 Géraldine Derroire 6, 3 Jean-François Bastin 7 Narayanan Ayyappan 8 Fabrice Bénédet 2, 3 Faustin Boyemba Bosela 9 Connie Clark 10 Thomas Crowther 11 Nestor Laurier Engone Obiang 12 Éric Forni 2, 3 David Harris 13 Alfred Ngomanda 12 John Poulsen 10 Bonaventure Sonké 14 Pierre Couteron 4 Sylvie Gourlet-Fleury 2, 3
1 GIP ECOFOR - Groupement d'Interêt Public Ecosystèmes Forestiers GIP ECOFOR
2 UPR Forêts et Sociétés - Forêts et Sociétés
3 Cirad-ES - Département Environnements et Sociétés
4 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
5 Purdue University [West Lafayette]
6 UMR ECOFOG - Ecologie des forêts de Guyane
7 Gembloux Agro-Bio Tech [Gembloux]
8 IFP - Institut Français de Pondichéry
9 Université de Kisangani
10 Duke University [Durham]
11 D-USYS - Department of Environmental Systems Science [ETH Zürich]
12 CNRST - Centre National de la Recherche Scientifique et Technologique
13 Royal Botanic Garden Edinburgh
14 University of Yaoundé [Cameroun]
Abstract : When ordinating plots of tropical rain forests using stand-level structural attributes such as biomass, basal area and the number of trees in different size classes, two patterns often emerge: a gradient from poorly to highly stocked plots and high positive correlations between biomass, basal area and the number of large trees. These patterns are inherited from the demographics (growth, mortality and recruitment) and size allometry of trees and tend to obscure other patterns, such as site differences among plots, that would be more informative for inferring ecological processes. Using data from 133 rain forest plots at nine sites for which site differences are known, we aimed to filter out these patterns in forest structural attributes to unveil a hidden pattern. Using a null model framework, we generated the anticipated pattern inherited from individual allometric patterns. We then evaluated deviations between the data (observations) and predictions of the null model. Ordination of the deviations revealed site differences that were not evident in the ordination of observations. These sites differences could be related to different histories of large-scale forest disturbance. By filtering out patterns inherited from individuals, our model analysis provides more information on ecological processes.
Keywords : forest structure Forest typology Null model Pattern and process Rain forest Correlation Ordination
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Submitted on : Thursday, January 6, 2022 - 4:59:21 PM
Last modification on : Friday, April 1, 2022 - 3:46:38 AM
Long-term archiving on: : Thursday, April 7, 2022 - 7:49:54 PM

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ANR | ECOFOG | GUYANE | B3ESTE | UNIV-MONTPELLIER | INRAE | INRAEOCCITANIEMONTPELLIER | RIGL | CIRAD | AGROPARISTECH | UNIV-AG | AFRIQ | CNRS | AMAP | IFPINDIA | IRD

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Nicolas Picard, Frédéric Mortier, Pierre Ploton, Jingjing Liang, Géraldine Derroire, et al.. Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures. Frontiers in Ecology and Evolution, Frontiers Media S.A, 2021, 9, ⟨10.3389/fevo.2021.599200⟩. ⟨hal-03514396⟩

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