Assessing timber volume recovery after disturbance in tropical forests - A new modelling framework
| Autor: | Lucas Mazzei, Ervan Rutishauser, Camille Piponiot, Géraldine Derroire, Plinio Sist, Laurent Descroix, Bruno Hérault |
|---|---|
| Přispěvatelé: | Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Réserve de Montabo, Office National des Forêts (ONF), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Ministério da Agricultura, Pecuária e Abastecimento [Brasil] (MAPA), Governo do Brasil-Governo do Brasil, Smithsonian Tropical Research Institute, CarboForExpert, Université de Montpellier (UM), Institut National Polytechnique Félix Houphouët-Boigny, GFclim project (FEDER 20142020) [GY0006894], Investissement dAvenir grant of the ANR [CEBA: ANR-10-LABEX-0025], Sentinel Landscape program of CGIAR (Consultative Group on International Agricultural Research) - Forest Tree and Agroforestry Research Program |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Reconstitution forestière 010504 meteorology & atmospheric sciences Production forestière [SDV]Life Sciences [q-bio] Forest management Ecosystem modelling Climate change Context (language use) forêt tropicale 010603 evolutionary biology 01 natural sciences Recovery K01 - Foresterie - Considérations générales Ecosystem K70 - Dégâts causés aux forêts et leur protection Silviculture 0105 earth and related environmental sciences Tropical forest management business.industry Ecological Modeling Environmental resource management Logging Tropics modèle de croissance forestière Disturbance 15. Life on land Régénération naturelle Disturbance (ecology) Sustainability 13. Climate action Développement durable Forêt Environmental science P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche business Gestion de l'environnement |
| Zdroj: | Ecological Modelling Ecological Modelling, Elsevier, 2018, 384, pp.353-369. ⟨10.1016/j.ecolmodel.2018.05.023⟩ |
| ISSN: | 0304-3800 |
| DOI: | 10.1016/j.ecolmodel.2018.05.023⟩ |
| Popis: | International audience; One third of contemporary tropical forests is designated by national forest services for timber production. Tropical forests are also increasingly affected by anthropogenic disturbances. However, there is still much uncertainty around the capacity of tropical forests to recover their timber volume after logging as well as other disturbances such as fires, large blow-downs and extreme droughts, and thus on the long-term sustainability of logging. We developed an original Bayesian hierarchical model of Volume Dynamics with Differential Equations (VDDE) to infer the dynamic of timber volumes as the result of two ecosystem processes: volume gains from tree growth and volume losses from tree mortality. Both processes are expressed as explicit functions of the forest maturity, Le. the overall successional stage of the forest that primarily depends on the frequency and severity of the disturbances that the forest has undergone. As a case study, the VDDE model was calibrated with data from Paracou, a long-term disturbance experiment in a neotropical forest where over 56 ha of permanent forest plots were logged with different intensities and censused for 31 years. With this model, we could predict timber recovery at Paracou at the end of a cutting cycle depending on the logging intensity, the rotation cycle length, and the proportion of commercial volume. The VDDE modelling framework developed presents three main advantages: (i) it can be calibrated with large tree inventories which are widely available from national forest inventories or logging concession management plans and are easy to measure, both on the field and with remote sensing; (ii) it depends on only a few input parameters, which can be an advantage in tropical regions where data availability is scarce; (iii) the modelling framework is flexible enough to explicitly include the effect of other types of disturbances (both natural and anthropogenic: e.g. blow-downs, fires and climate change) on the forest maturity, and thus to predict future timber provision in the tropics in a context of global changes. |
| Databáze: | OpenAIRE |
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