A common framework to model recovery in disturbed tropical forests

Eliott Maurent, Bruno Hérault, Camille Piponiot, Géraldine Derroire, Diego Delgado, Bryan Finegan, Mélaine Aubry Kientz, Bienvenu H.K. Amani and Marie Ange Ngo Bieng

Ecological Modelling, 2023, vol. 483, issue C

Abstract: 1. 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.

Keywords: Anthropogenic disturbance; Recovery; Forest succession; Tropical forest conservation; Vegetation attribute trajectories; Ecosystem modelling (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:483:y:2023:i:c:s0304380023001497

DOI: 10.1016/j.ecolmodel.2023.110418

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