Using model analysis to unveil hidden patterns in tropical forest structures

Picard Nicolas, Mortier Frédéric, Ploton Pierre, Liang Jingjing, Derroire Géraldine, Bastin Jean-François, Ayyappan Narayanan, Bénédet Fabrice, Boyemba Bosela Faustin, Clark Connie J., Crowther Thomas W., Engone Obiang Nestor Laurier, Forni Eric, Harris David, Ngomanda Alfred, Poulsen John R., Sonké Bonaventure, Couteron Pierre, Gourlet-Fleury Sylvie. 2021. Using model analysis to unveil hidden patterns in tropical forest structures. Frontiers in Ecology and Evolution, 9:599200, 13 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.4338387

Quartile : Q2, Sujet : ECOLOGY

Résumé : 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 frompoorly 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.

Mots-clés Agrovoc : modèle végétal, parcelle, forêt tropicale humide, allométrie, structure du peuplement, type forestier (composition botanique), modélisation

Mots-clés géographiques Agrovoc : République centrafricaine, Cameroun, Congo, République démocratique du Congo, Inde, Gabon, Guyane française, France

Mots-clés libres : Forest structure, Forest typology, Null model, Rainforest, Ordination analysis

Classification Agris : K01 - Foresterie - Considérations générales
F40 - Écologie végétale
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Auteurs et affiliations

• Picard Nicolas, Center GIP ECOFOR (FRA) - auteur correspondant
• Mortier Frédéric, CIRAD-ES-UPR Forêts et sociétés (FRA)
• Ploton Pierre, IRD (FRA)
• Liang Jingjing, Purdue University (USA)
• Derroire Géraldine, CIRAD-ES-UMR Ecofog (GUF) ORCID: 0000-0001-7239-2881
• Bastin Jean-François, GxABT (BEL)
• Ayyappan Narayanan, Institut français de Pondichéry (IND)
• Bénédet Fabrice, CIRAD-ES-UPR Forêts et sociétés (FRA) ORCID: 0000-0001-9281-5677
• Boyemba Bosela Faustin, UNIKIS (COD)
• Clark Connie J., Duke University (USA)
• Crowther Thomas W., ETH (CHE)
• Engone Obiang Nestor Laurier, IRET (GAB)
• Forni Eric, CIRAD-ES-UPR Forêts et sociétés (COG)
• Harris David, Royal Botanic Garden (GBR)
• Ngomanda Alfred, IRET (GAB)
• Poulsen John R., Duke University (USA)
• Sonké Bonaventure, Université de Yaoundé (CMR)
• Couteron Pierre, IRD (FRA)
• Gourlet-Fleury Sylvie, CIRAD-ES-UPR Forêts et sociétés (FRA) ORCID: 0000-0002-1136-4307

Source : Cirad-Agritrop (https://agritrop.cirad.fr/599728/)

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