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|Research center of Embrapa/Collection:||Embrapa Acre - Artigo em periódico indexado (ALICE)|
|Type of Material:||Artigo em periódico indexado (ALICE)|
|Authors:||FIGUEIREDO, S. M. de M.|
VENTICINQUE, E. M.
FIGUEIREDO, E. O.
|Additional Information:||Symone Maria de Melo Figueiredo, Universidade Federal do Acre; Eduardo Martins Venticinque, Universidade Federal do Rio Grande do Norte; EVANDRO ORFANO FIGUEIREDO, CPAF-Acre.|
|Title:||Spatial scale effects of sampling on the interpolation of species distribution models in the southwestern Amazon.|
|Publisher:||Revista Árvore, Viçosa, v. 40, n. 4, p. 617-625, 2016.|
Modelo de distribuição de espécies
Species distribution models
Modelos de distribución de especies
Sudoeste da Amazônia
Simulación por computadora.
|Description:||Knowledge of the geographical distribution of timber tree species in the Amazon is still scarce. This is especially true at the local level, thereby limiting natural resource management actions. Forest inventories are key sources of information on the occurrence of such species. However, areas with approved forest management plans are mostly located near access roads and the main industrial centers. The present study aimed to assess the spatial scale effects of forest inventories used as sources of occurrence data in the interpolation of potential species distribution models. The occurrence data of a group of six forest tree species were divided into four geographical areas during the modeling process. Several sampling schemes were then tested applying the maximum entropy algorithm, using the following predictor variables: elevation, slope, exposure, normalized difference vegetation index (NDVI) and height above the nearest drainage (HAND). The results revealed that using occurrence data from only one geographical area with unique environmental characteristics increased both model overfitting to input data and omission error rates. The use of a diagonal systematic sampling scheme and lower threshold values led to improved model performance. Forest inventories may be used to predict areas with a high probability of species occurrence, provided they are located in forest management plan regions representative of the environmental range of the model projection area.|
População de planta
Modelo de simulação
Programa de computador
|NAL Thesaurus:||Tropical wood|
|Appears in Collections:||Artigo em periódico indexado (CPAF-AC)|