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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
24/07/2025 |
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Data da última atualização: |
24/07/2025 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
JESUS, S. F. de; ARRUDA, D. M.; ZUANNY, D. C.; COELHO, M. R.; VASQUES, G. M.; ESPÍRITO SANTO, M. M. do. |
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Afiliação: |
SARAH FERREIRA DE JESUS, UNIVERSIDADE ESTADUAL DE MONTES CLAROS; DANIEL MEIRA ARRUDA, UNIVERSIDADE FEDERAL DE MINAS GERAIS; DÉBORA C. ZUANNY, UNIVERSIDADE FEDERAL DA BAHIA; MAURICIO RIZZATO COELHO, CNPS; GUSTAVO DE MATTOS VASQUES, CNPS; MÁRIO MARCOS DO ESPÍRITO SANTO, UNIVERSIDADE ESTADUAL DE MONTES CLAROS. |
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Título: |
Unraveling the factors influencing floristic composition: insights from a local-scale study in seasonally dry tropical forests. |
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Ano de publicação: |
2026 |
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Fonte/Imprenta: |
In: SANCHEZ-AZOFEIFA, A. (ed.). Remote sensing of tropical dry forests in the Americas: ecology, conservation, and management. 2nd ed. Boca Raton: CRC Press, 2026. cap. 18. |
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DOI: |
https://doi.org/10.1201/9781003404286-22 |
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Idioma: |
Inglês |
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Conteúdo: |
Plant community structure is influenced by climate, altitude, topography, and soil characteristics, with soil attributes playing a critical role in species distribution. This study examined the effects of soil and topography on the floristic composition and structure of a Seasonally Dry Tropical Forest (SDTF) within a 10,000-hectare state park in Minas Gerais, Brazil. Vegetation sampling was conducted in 2010 across 170 plots (1.7 ha) representing nine soil classes. Redundancy Analysis (RDA) and generalized linear models (GLMs) were used to assess soil effects on floristic composition, species richness, and forest structure. The analysis indicated significant variation in floristic composition in relation to the predictors. However, the contribution of soil was low when compared to the spatial effect. Soil attributes impacted vegetation structure, with potassium and sand content affecting tree basal area. Species richness, however, showed no soil influence. Although much of the floristic variation remains unexplained, spatial factors emerged as primary drivers of floristic composition. This result is consistent with neutral theory and highlights the need for broader predictors to understand SDTF dynamics at local scales better. |
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Palavras-Chave: |
Atributos do solo; Composição florística; Parque Estadual da Mata Seca. |
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Thesagro: |
Floresta Tropical; Solo. |
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Thesaurus Nal: |
Soil; Tropical forests. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02249naa a2200277 a 4500
001 2177471
005 2025-07-24
008 2026 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1201/9781003404286-22$2DOI
100 1 $aJESUS, S. F. de
245 $aUnraveling the factors influencing floristic composition$binsights from a local-scale study in seasonally dry tropical forests.$h[electronic resource]
260 $c2026
520 $aPlant community structure is influenced by climate, altitude, topography, and soil characteristics, with soil attributes playing a critical role in species distribution. This study examined the effects of soil and topography on the floristic composition and structure of a Seasonally Dry Tropical Forest (SDTF) within a 10,000-hectare state park in Minas Gerais, Brazil. Vegetation sampling was conducted in 2010 across 170 plots (1.7 ha) representing nine soil classes. Redundancy Analysis (RDA) and generalized linear models (GLMs) were used to assess soil effects on floristic composition, species richness, and forest structure. The analysis indicated significant variation in floristic composition in relation to the predictors. However, the contribution of soil was low when compared to the spatial effect. Soil attributes impacted vegetation structure, with potassium and sand content affecting tree basal area. Species richness, however, showed no soil influence. Although much of the floristic variation remains unexplained, spatial factors emerged as primary drivers of floristic composition. This result is consistent with neutral theory and highlights the need for broader predictors to understand SDTF dynamics at local scales better.
650 $aSoil
650 $aTropical forests
650 $aFloresta Tropical
650 $aSolo
653 $aAtributos do solo
653 $aComposição florística
653 $aParque Estadual da Mata Seca
700 1 $aARRUDA, D. M.
700 1 $aZUANNY, D. C.
700 1 $aCOELHO, M. R.
700 1 $aVASQUES, G. M.
700 1 $aESPÍRITO SANTO, M. M. do
773 $tIn: SANCHEZ-AZOFEIFA, A. (ed.). Remote sensing of tropical dry forests in the Americas: ecology, conservation, and management. 2nd ed. Boca Raton: CRC Press, 2026. cap. 18.
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Registro original: |
Embrapa Solos (CNPS) |
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