Data/hora: 24/09/2024 06:25:39

Biblioteca(s): 	Embrapa Acre.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 2	
Data corrente: 	11/11/2016	
Data da última atualização: 	02/07/2021	
Autoria: 	FIGUEIREDO, S. M. de M.; VENTICINQUE, E. M.; FIGUEIREDO, E. O.	
Afiliação: 	Symone Maria de Melo Figueiredo, Universidade Federal do Acre; Eduardo Martins Venticinque, Universidade Federal do Rio Grande do Norte; EVANDRO ORFANO FIGUEIREDO, CPAF-Acre.	
Título: 	Spatial scale effects of sampling on the interpolation of species distribution models in the southwestern Amazon.	
Ano de publicação: 	2016	
Fonte/Imprenta: 	Revista Árvore, Viçosa, v. 40, n. 4, p. 617-625, 2016.	
ISSN: 	0100-6762	
DOI: 	10.1590/0100-67622016000400005	
Idioma: 	Inglês	
Conteúdo: 	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.	
Palavras-Chave: 	Escala espacial; Interpolação; Interpolación; Interpolation; Inventario forestal; Madera tropical; Modelo de distribuição de espécies; Modelos de distribución de especies; Simulación por computadora; Southwest Amazon; Spatial scale; Species distribution models; Sudoeste da Amazônia.	
Thesagro: 	Essência florestal; Flora; Inventário florestal; Modelo de simulação; População de planta; Programa de computador.	
Thesaurus Nal: 	Computer simulation; Forest inventory; Tropical wood.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/149950/1/26198.pdf	
Registro original: 	Embrapa Acre (CPAF-AC)	
Exemplares: 	CPAF-AC - (26198-1) - UPC - AP - DD -  -  -  - DIS