Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures

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 a...

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Autores principales:	Nicolas Picard, Frédéric Mortier, Pierre Ploton, Jingjing Liang, Géraldine Derroire, Jean-François Bastin, Narayanan Ayyappan, Fabrice Bénédet, Faustin Boyemba Bosela, Connie J. Clark, Thomas W. Crowther, Nestor Laurier Engone Obiang, Éric Forni, David Harris, Alfred Ngomanda, John R. Poulsen, Bonaventure Sonké, Pierre Couteron, Sylvie Gourlet-Fleury
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	forest structure forest typology null model pattern and process rain forest correlation Evolution QH359-425 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/09eac37afbf3415781a32ca554d3980f
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spelling	oai:doaj.org-article:09eac37afbf3415781a32ca554d3980f2021-12-01T19:46:56ZUsing Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures2296-701X10.3389/fevo.2021.599200https://doaj.org/article/09eac37afbf3415781a32ca554d3980f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fevo.2021.599200/fullhttps://doaj.org/toc/2296-701XWhen 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.Nicolas PicardFrédéric MortierPierre PlotonJingjing LiangGéraldine DerroireJean-François BastinNarayanan AyyappanFabrice BénédetFaustin Boyemba BoselaConnie J. ClarkThomas W. CrowtherNestor Laurier Engone ObiangÉric ForniDavid HarrisAlfred NgomandaJohn R. PoulsenBonaventure SonkéPierre CouteronSylvie Gourlet-FleuryFrontiers Media S.A.articleforest structureforest typologynull modelpattern and processrain forestcorrelationEvolutionQH359-425EcologyQH540-549.5ENFrontiers in Ecology and Evolution, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	forest structure forest typology null model pattern and process rain forest correlation Evolution QH359-425 Ecology QH540-549.5
spellingShingle	forest structure forest typology null model pattern and process rain forest correlation Evolution QH359-425 Ecology QH540-549.5 Nicolas Picard Frédéric Mortier Pierre Ploton Jingjing Liang Géraldine Derroire Jean-François Bastin Narayanan Ayyappan Fabrice Bénédet Faustin Boyemba Bosela Connie J. Clark Thomas W. Crowther Nestor Laurier Engone Obiang Éric Forni David Harris Alfred Ngomanda John R. Poulsen Bonaventure Sonké Pierre Couteron Sylvie Gourlet-Fleury Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
description	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.
format	article
author	Nicolas Picard Frédéric Mortier Pierre Ploton Jingjing Liang Géraldine Derroire Jean-François Bastin Narayanan Ayyappan Fabrice Bénédet Faustin Boyemba Bosela Connie J. Clark Thomas W. Crowther Nestor Laurier Engone Obiang Éric Forni David Harris Alfred Ngomanda John R. Poulsen Bonaventure Sonké Pierre Couteron Sylvie Gourlet-Fleury
author_facet	Nicolas Picard Frédéric Mortier Pierre Ploton Jingjing Liang Géraldine Derroire Jean-François Bastin Narayanan Ayyappan Fabrice Bénédet Faustin Boyemba Bosela Connie J. Clark Thomas W. Crowther Nestor Laurier Engone Obiang Éric Forni David Harris Alfred Ngomanda John R. Poulsen Bonaventure Sonké Pierre Couteron Sylvie Gourlet-Fleury
author_sort	Nicolas Picard
title	Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
title_short	Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
title_full	Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
title_fullStr	Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
title_full_unstemmed	Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures
title_sort	using model analysis to unveil hidden patterns in tropical forest structures
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/09eac37afbf3415781a32ca554d3980f
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Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures

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