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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
14/10/2016 |
Data da última atualização: |
18/10/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SEVEGNANI, L.; UHLMANN, A.; GASPER, A. L. de; MEYER, L.; VIBRANS, A. C. |
Afiliação: |
Lucia Sevegnani, FURB; ALEXANDRE UHLMANN, CNPF; Andre Luís de Gasper, FURB; Leila Meyer, UFG; Alexander Christian Vibrans, FURB. |
Título: |
Climate affects the structure of mixed rain forest in southern sector of Atlantic domain in Brazil. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Acta Oecologica, v. 77, p. 109-117, Nov. 2016. |
Idioma: |
Inglês |
Conteúdo: |
This study aimed to analyze the influence of environmental factors in determining the variation in forest structure. We obtained the data through sampling units placed regularly in a grid of 10 km 10 km in the state of Santa Catarina, southern Brazil. The axes of Detendred Correspondence Analysis summarized the vegetation structure and we used these as response variables in ordinary least square models, and environmental variables as predictors. Moran Eigenvector Maps were used as spatial predictors, enabling the variance partitioning. The results revealed influence of climatic factors, especially thermal and rainfall in determining the vegetation structure. The physical geography (high plateaus) and positioning below the Tropic of Capricorn line are the main static elements influencing the climate and therefore the vegetation. |
Palavras-Chave: |
Estrutura florestal; Mata atlântica; Subtropical forests. |
Thesagro: |
Altitude; Araucaria; Clima. |
Thesaurus NAL: |
Climate; Rain forests. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 01579naa a2200265 a 4500 001 2054692 005 2016-10-18 008 2016 bl uuuu u00u1 u #d 100 1 $aSEVEGNANI, L. 245 $aClimate affects the structure of mixed rain forest in southern sector of Atlantic domain in Brazil.$h[electronic resource] 260 $c2016 520 $aThis study aimed to analyze the influence of environmental factors in determining the variation in forest structure. We obtained the data through sampling units placed regularly in a grid of 10 km 10 km in the state of Santa Catarina, southern Brazil. The axes of Detendred Correspondence Analysis summarized the vegetation structure and we used these as response variables in ordinary least square models, and environmental variables as predictors. Moran Eigenvector Maps were used as spatial predictors, enabling the variance partitioning. The results revealed influence of climatic factors, especially thermal and rainfall in determining the vegetation structure. The physical geography (high plateaus) and positioning below the Tropic of Capricorn line are the main static elements influencing the climate and therefore the vegetation. 650 $aClimate 650 $aRain forests 650 $aAltitude 650 $aAraucaria 650 $aClima 653 $aEstrutura florestal 653 $aMata atlântica 653 $aSubtropical forests 700 1 $aUHLMANN, A. 700 1 $aGASPER, A. L. de 700 1 $aMEYER, L. 700 1 $aVIBRANS, A. C. 773 $tActa Oecologica$gv. 77, p. 109-117, Nov. 2016.
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