Centre de documentation
scientifique

Effect of microsite quality and species composition on tree growth: A semi-empirical modeling approach / Carolina Mayoral in Forest ecology and management, vol 432 (15 January 2019)  

Public [article]  inForest ecology and management > vol 432 (15 January 2019) . - pp 534 - 545 Titre : Effect of microsite quality and species composition on tree growth: A semi-empirical modeling approach Type de document : Article/Communication Auteurs : Carolina Mayoral, Auteur ; Michiel van Breugel, Auteur ; Benjamin L. Turner, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 534 - 545 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Amérique centrale [Termes IGN] biome [Termes IGN] bois sur pied [Termes IGN] croissance des arbres [Termes IGN] déboisement [Termes IGN] diamètre des arbres [Termes IGN] escarpement [Termes IGN] forêt tropicale [Termes IGN] modèle de croissance végétale [Termes IGN] nutriment végétal [Termes IGN] Panama [Termes IGN] pente [Termes IGN] reboisement [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Reforestation in the tropics mitigates the negative effects of climate change by sequestering carbon in biomass. However, tree growth is limited by nutrient availability in many tropical regions. A clear understanding of nutrient constraints and topography on growth of native timber species is thus essential to improve both the economic return on reforestation and the ecosystem services in tropical degraded lands. To address this, we use 7-year growth data from a 75-ha reforestation experiment in central Panama to test a modeling approach to predict growth of these species. The experiment includes five valuable timber species in 21 treatments, including monocultures and mixtures. We first fit a non-linear growth model as a function of tree age, then expand the former model parameters as a function of variables related to species mixture and micro-site soil conditions. Finally, we built a final model for each species to predict growth along three axes: nutrient availability, slope and species mixture. The models successfully identified how variation in growth was related to micro-site conditions and the species mixture. Although all species were long-lived pioneers, most were overall more sensitive to nutrient availability and between-trees interactions than to slope. However, the fastest growing species on average was more sensitive to slope than the other species and less sensitive to nutrient availability, showing better performance than the other species even under adverse conditions. Our models aid identification of species with the best growth potential to use in reforestation on infertile soils, leading to a better species selection according to site conditions. Numéro de notice : A2019-005 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.09.047 Date de publication en ligne : 04/10/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.09.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91598 [article]