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[Relationship between surface dead fuel loadings and environmental factors in southern Jiangxi, China]. / 赣南地区森林地表死可燃物载量与环境因子的关系.
Wu, Qing-Yun; Wu, Zhi-Wei; Robert, E Keane; Lin, Shi-Tao; Li, Shun; Shan, Yan-Long.
Afiliación
  • Wu QY; Ministry of Education Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Nanchang 330022, China.
  • Wu ZW; Key Laboratory of Natural Disaster Monitoring and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang 330022, China.
  • Robert EK; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China.
  • Lin ST; Ministry of Education Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Nanchang 330022, China.
  • Li S; Key Laboratory of Natural Disaster Monitoring and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang 330022, China.
  • Shan YL; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China.
Ying Yong Sheng Tai Xue Bao ; 33(6): 1539-1546, 2022 Jun.
Article en Zh | MEDLINE | ID: mdl-35729131
ABSTRACT
The distribution pattern of forest fuel loading is driven by the interaction of environmental factors, such as terrain and vegetation. Based on field sampling data of surface dead fuels of seven main forest types in southern Jiangxi Province, and according to the classification standard of different time-lags, we constructed structural equation models to explore the relationship between surface fuel loadings and environmental factors such as terrain and vegetation etc. We analyzed the influence path of each factor and its direct, indirect, and total influence. The results showed that the coniferous and broad-leaved mixed forest had the highest loadings and the Phyllostachys heterocycla pure forest had the lowest loadings for all the 1, 10, and 100 h time-lag fuels. The influencing coefficient of environmental factors for 1 h time-lag fuels were ranked as slope (0.40) > crown height (0.07) > tree species (-0.03) > canopy closure (0.01). For the 10 h time-lag fuels, the environmental factors were ranked as diameter at breast height (0.15) >tree species (-0.09) > aspect (-0.08) > canopy closure (-0.06). For the 100 h time-lag fuels, the environmental factors were ranked as aspect (0.25) > diameter at breast height (0.19) > canopy closure (-0.08) > tree species (0.02). The influencing coefficient of environmental factors for the total fuels were ranked as slope (0.22) > tree species (-0.04), canopy closure (-0.04) > crown height (-0.01).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bosques / Tracheophyta Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bosques / Tracheophyta Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: China