A model bridging distance-dependent and distance-independent tree models to simulate the growth of mixed forests |
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Authors: | Thomas Perot François Goreaud Christian Ginisty Jean-François Dhôte |
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Institution: | 1. Unité Ecosystèmes Forestiers, Cemagref, Domaine des Barres, 45290, Nogent-sur-Vernisson, France 2. Cemagref, LISC, 24 avenue des Landais, BP 50085, 63172, Aubière Cedex 1, France 3. Laboratoire d’étude des Ressources Forêt Bois, UMR INRA-ENGREF 1092, Centre INRA de Nancy, 54280, Champenoux, France
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Abstract: | ? It is widely believed that distance-independent tree models fail to take into account the complexity of mixed stands due to the fact that spatial structure often has a greater impact on growth and dynamics in mixed stands than in pure stands. On the other hand, distance-dependent tree models are difficult to use because they require a map of the stand, which is not only very costly but also impracticable in a routine management context. ? This paper reports the development of a model bridging distance-dependent and distanceindependent tree models, and that is designed to simulate the growth of a mixed forest. The model used distributions of the number of neighbours to reconstruct tree neighbourhoods and compute the competition indices needed as inputs to the growth model. ? Data were collected from a mixed forest of sessile oak and Scots pine in central France. The study showed that local competition indices explained a significant proportion of growth variability and that intraspecific competition was greater than interspecific competition. The model based on neighbourhood distributions gave consistent predictions compared to a distance-dependent model. ? This type of model could be used instead of distance-dependent models in management contexts. |
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