A common framework to model recovery in disturbed tropical forests

Despite their exceptional biodiversity and carbon stocks, more than 80% of tropical forests are disturbed. However, a lot of interrogations remain around the ability of vegetation attributes in tropical forests to recover from the various anthropogenic disturbances coexisting in many tropical landsc...

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Detalles Bibliográficos
Autores principales:	Maurent, Eliott, Delgado, Diego, Finegan, Bryan, Ngo-Bieng, Marie Ange, y otros 5 autores más
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Elsevier 2014
Materias:	SUCESION VEGETAL PLANT SUCCESSION CONSERVACION DE LA NATURALEZA NATURE CONSERVATION MODELIZACION DEL MEDIO AMBIENTE ENVIRONMENTAL MODELLING BOSQUES TROPICALES TROPICAL FORESTS COSTA RICA FRENCH GUIANA GUAYANA FRANCESA FOREST CONSERVATION FOREST SUCCESSION VEGETATION ATTRIBUTE TRAJECTORIES ECOSYSTEM MODELLING
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/4672

id	RepoCATIE4672
record_format	dspace
spelling	RepoCATIE46722023-06-15T19:11:27Z A common framework to model recovery in disturbed tropical forests Maurent, Eliott Delgado, Diego Finegan, Bryan Ngo-Bieng, Marie Ange y otros 5 autores más SUCESION VEGETAL PLANT SUCCESSION CONSERVACION DE LA NATURALEZA NATURE CONSERVATION MODELIZACION DEL MEDIO AMBIENTE ENVIRONMENTAL MODELLING BOSQUES TROPICALES TROPICAL FORESTS COSTA RICA FRENCH GUIANA GUAYANA FRANCESA FOREST CONSERVATION FOREST SUCCESSION VEGETATION ATTRIBUTE TRAJECTORIES ECOSYSTEM MODELLING Despite their exceptional biodiversity and carbon stocks, more than 80% of tropical forests are disturbed. However, a lot of interrogations remain around the ability of vegetation attributes in tropical forests to recover from the various anthropogenic disturbances coexisting in many tropical landscapes. While these different disturbances are usually studied separately, this work provides, for the first time, a common modelling framework of vegetation attribute recovery in differently disturbed forests. We develop an original Bayesian hierarchical model of recovery trajectories, considering disturbed forests in a common framework, through a disturbance intensity gradient. As a case study, we test our modelling approach on data from two long-term experiments, Tirimbina (Costa Rica) and Paracou (French Guiana), where forest permanent sample plots have been set up following selective logging (63.25 ha), agriculture (4 ha), and clearcutting+fire (6.25 ha). We build a modelling framework that stands out by: (i) its interpretability, with model parameters having a clear ecological meaning; (ii) its robustness, allowing to compare parameter values amongst ecological systems to ensure that predictions are ecologically sound; (iii) its versatility to consider disturbance intensity through postdisturbance changes in a structural variable, either as input data, or as a transformed parameter without requiring pre-disturbance monitoring; (iv) its flexibility to explicitly consider, and test, the effects on forest recovery of various disturbance types, along an intensity gradient, in a single integrative model. First conclusions drawn from our common framework underline the strongest above-ground biomass and diversity recovery rate offered by selective logging, compared to agriculture and clearcutting+fire, as well as the strong effect of disturbance intensity on taxonomic composition recovery. Considering disturbed forests in a common framework might help managers to know which disturbance types need to be firmly avoided, which intensity range makes human activities sustainable in forested environments, and where inexpensive natural regeneration should be favoured over active restoration, such as tree planting. Testing this framework with various monitoring tools to estimate disturbance intensity and model vegetation attribute recovery, i.e., with forest monitoring or remote sensing data, will be the next step to make it widely applicable. 2014-10-20T04:27:23Z 2014-10-20T04:27:23Z 2023-06-11 Artículo 370108 0304-3800 https://repositorio.catie.ac.cr/handle/11554/4672 restrictedAccess en Ecological Modelling https://doi.org/10.1016/j.ecolmodel.2023.110418 12 páginas application/pdf Elsevier
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	SUCESION VEGETAL PLANT SUCCESSION CONSERVACION DE LA NATURALEZA NATURE CONSERVATION MODELIZACION DEL MEDIO AMBIENTE ENVIRONMENTAL MODELLING BOSQUES TROPICALES TROPICAL FORESTS COSTA RICA FRENCH GUIANA GUAYANA FRANCESA FOREST CONSERVATION FOREST SUCCESSION VEGETATION ATTRIBUTE TRAJECTORIES ECOSYSTEM MODELLING
spellingShingle	SUCESION VEGETAL PLANT SUCCESSION CONSERVACION DE LA NATURALEZA NATURE CONSERVATION MODELIZACION DEL MEDIO AMBIENTE ENVIRONMENTAL MODELLING BOSQUES TROPICALES TROPICAL FORESTS COSTA RICA FRENCH GUIANA GUAYANA FRANCESA FOREST CONSERVATION FOREST SUCCESSION VEGETATION ATTRIBUTE TRAJECTORIES ECOSYSTEM MODELLING Maurent, Eliott Delgado, Diego Finegan, Bryan Ngo-Bieng, Marie Ange y otros 5 autores más A common framework to model recovery in disturbed tropical forests
description	Despite their exceptional biodiversity and carbon stocks, more than 80% of tropical forests are disturbed. However, a lot of interrogations remain around the ability of vegetation attributes in tropical forests to recover from the various anthropogenic disturbances coexisting in many tropical landscapes. While these different disturbances are usually studied separately, this work provides, for the first time, a common modelling framework of vegetation attribute recovery in differently disturbed forests. We develop an original Bayesian hierarchical model of recovery trajectories, considering disturbed forests in a common framework, through a disturbance intensity gradient. As a case study, we test our modelling approach on data from two long-term experiments, Tirimbina (Costa Rica) and Paracou (French Guiana), where forest permanent sample plots have been set up following selective logging (63.25 ha), agriculture (4 ha), and clearcutting+fire (6.25 ha). We build a modelling framework that stands out by: (i) its interpretability, with model parameters having a clear ecological meaning; (ii) its robustness, allowing to compare parameter values amongst ecological systems to ensure that predictions are ecologically sound; (iii) its versatility to consider disturbance intensity through postdisturbance changes in a structural variable, either as input data, or as a transformed parameter without requiring pre-disturbance monitoring; (iv) its flexibility to explicitly consider, and test, the effects on forest recovery of various disturbance types, along an intensity gradient, in a single integrative model. First conclusions drawn from our common framework underline the strongest above-ground biomass and diversity recovery rate offered by selective logging, compared to agriculture and clearcutting+fire, as well as the strong effect of disturbance intensity on taxonomic composition recovery. Considering disturbed forests in a common framework might help managers to know which disturbance types need to be firmly avoided, which intensity range makes human activities sustainable in forested environments, and where inexpensive natural regeneration should be favoured over active restoration, such as tree planting. Testing this framework with various monitoring tools to estimate disturbance intensity and model vegetation attribute recovery, i.e., with forest monitoring or remote sensing data, will be the next step to make it widely applicable.
format	Artículo
author	Maurent, Eliott Delgado, Diego Finegan, Bryan Ngo-Bieng, Marie Ange y otros 5 autores más
author_facet	Maurent, Eliott Delgado, Diego Finegan, Bryan Ngo-Bieng, Marie Ange y otros 5 autores más
author_sort	Maurent, Eliott
title	A common framework to model recovery in disturbed tropical forests
title_short	A common framework to model recovery in disturbed tropical forests
title_full	A common framework to model recovery in disturbed tropical forests
title_fullStr	A common framework to model recovery in disturbed tropical forests
title_full_unstemmed	A common framework to model recovery in disturbed tropical forests
title_sort	common framework to model recovery in disturbed tropical forests
publisher	Elsevier
publishDate	2014
url	https://repositorio.catie.ac.cr/handle/11554/4672
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A common framework to model recovery in disturbed tropical forests

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