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7. | | SANTOS, M. N. dos; RESCK, D. V. S.; SILVA, J. E. da; RODRIGUEZ CASTRO, L. H. Influencia de diferentes sistemas de manejo no teor de materia organica e no tamanho e distribuicao de poros em latossolo vermelho-escuro argiloso na regiao dos cerrados, Brasil. In: SIMPOSIO SOBRE O CERRADO, 8.; INTERNATIONAL SYMPOSIUM ON TROPICAL SAVANNAS, 1., 1996, Brasilia, DF. Biodiversidade e producao sustentavel de alimentos e fibras nos Cerrados: anais... Planaltina: EMBRAPA-CPAC, 1996. p.372-374. Biblioteca(s): Embrapa Cerrados. |
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Registros recuperados : 16 | |
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Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
11/11/2016 |
Data da última atualização: |
02/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149950/1/26198.pdf
|
Marc: |
LEADER 02858naa a2200433 a 4500 001 2056281 005 2021-07-02 008 2016 bl uuuu u00u1 u #d 022 $a0100-6762 024 7 $a10.1590/0100-67622016000400005$2DOI 100 1 $aFIGUEIREDO, S. M. de M. 245 $aSpatial scale effects of sampling on the interpolation of species distribution models in the southwestern Amazon.$h[electronic resource] 260 $c2016 520 $aKnowledge 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. 650 $aComputer simulation 650 $aForest inventory 650 $aTropical wood 650 $aEssência florestal 650 $aFlora 650 $aInventário florestal 650 $aModelo de simulação 650 $aPopulação de planta 650 $aPrograma de computador 653 $aEscala espacial 653 $aInterpolação 653 $aInterpolación 653 $aInterpolation 653 $aInventario forestal 653 $aMadera tropical 653 $aModelo de distribuição de espécies 653 $aModelos de distribución de especies 653 $aSimulación por computadora 653 $aSouthwest Amazon 653 $aSpatial scale 653 $aSpecies distribution models 653 $aSudoeste da Amazônia 700 1 $aVENTICINQUE, E. M. 700 1 $aFIGUEIREDO, E. O. 773 $tRevista Árvore, Viçosa$gv. 40, n. 4, p. 617-625, 2016.
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