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[Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China]. / 鄱阳湖区生态环境质量的空间分异特征及其影响因素.
Zhu, Qing; Guo, Jia-Xin; Guo, Xi; Xu, Zhe; Ding, Hui; Han, Yi.
Afiliação
  • Zhu Q; College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China.
  • Guo JX; Jiangxi Province Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology, Nanchang 330045, China.
  • Guo X; 1. College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China; 2. Jiangxi Province Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology, Nanchang 330045, China.
  • Xu Z; College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China.
  • Ding H; Jiangxi Province Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology, Nanchang 330045, China.
  • Han Y; College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China.
Ying Yong Sheng Tai Xue Bao ; 30(12): 4108-4116, 2019 Dec.
Article em Zh | MEDLINE | ID: mdl-31840455
ABSTRACT
Based on Landsat 8 OLI/TIRS remote sensing image data, indices including NDVI, WET, NDSI and LST were selected from the aspects of greenness, humidity, dryness and heat respectively, and remote sensing ecological index (RSEI) was constructed by principal component analysis to analyze the spatial distribution of ecological environment quality in Poyang Lake area in 2014. The spatial heterogeneity and its influencing factors of the original remote sensing ecological index (RSEI0) were quantitatively analyzed using spatial autocorrelation, semi-variance function, maximum information coefficient, and factor detection. The results showed that ecological environment quality of Poyang Lake area was generally at a moderate level in 2014 and that the overall spatial distribution pattern from southwest to northeast gradually improved. The exploratory spatial data analysis showed that RSEI0 had strong spatial clustering and spatial heterogeneity under the sampling of 2 km grid element. The nugget effect value of RSEI0 was 25.8%, which belonged to medium spatial variability and was mainly affected by structural factors. The results of maximum information coefficient and factor detection analysis showed that slope had the strongest positive correlation with RSEI0. Slope, elevation, curvature, annual average rainfall, annual average temperature, proportion of garden forest area, proportion of cultivated land area, proportion of construction land area, annual average population density and annual average GDP significantly affected RSEI0, but with different magnitude of influences. Among them, the slope independent explanatory power was 57.1%, which was the main factor affecting spatial variation of RSEI0 in Poyang Lake area. Our results could provide reference for the protection and management of ecological environment in the Poyang Lake area.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lagos / Ecossistema País/Região como assunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lagos / Ecossistema País/Região como assunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China