鄱阳湖区生态环境质量的空间分异特征及其影响因素

doi:10.13287/j.1001-9332.201912.035

应用生态学报 ›› 2019, Vol. 30 ›› Issue (12): 4108-4116.doi: 10.13287/j.1001-9332.201912.035

鄱阳湖区生态环境质量的空间分异特征及其影响因素

朱青^1,2, 国佳欣^1,2, 郭熙^1,2*, 徐喆^1,2, 丁徽^1,2, 韩逸^1,2

¹江西农业大学国土资源与环境学院, 南昌 330045;
²江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045

收稿日期:2019-04-28 出版日期:2019-12-15 发布日期:2019-12-15
通讯作者: * E-mail: guoxi@jxau.edu.cn
作者简介:朱青, 男, 1995年生, 硕士研究生. 主要从事土地资源开发与环境保护研究. E-mail: jzzc0504@163.com
基金资助:
本文由江西省赣鄱英才“555”领军人才项目(201295)资助

Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China

ZHU Qing^1,2, GUO Jia-xin^1,2, GUO Xi^1,2*, XU Zhe^1,2, DING Hui^1,2, HAN Yi^1,2

¹College of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;
²Jiangxi Province Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology, Nanchang 330045, China

Received:2019-04-28 Online:2019-12-15 Published:2019-12-15
Contact: * E-mail: guoxi@jxau.edu.cn
Supported by:
This work was supported by the Ganpo “555” Talent Research Fund of Jiangxi Province (201295)

摘要/Abstract

摘要： 本文基于Landsat 8 OLI/TIRS遥感影像数据,从绿度、湿度、干度和热度4方面分别选取归一化植被指数、湿度分量、干度指数、地表温度指标,采用主成分分析构建遥感生态指数(RSEI),分析了鄱阳湖区2014年生态环境质量空间分布特征.从不同尺度划分空间单元,运用空间自相关、半方差函数、最大信息系数和因子探测等方法定量分析了原始遥感生态指数(RSEI₀)的空间异质性及其影响因素.结果表明: 鄱阳湖区2014年生态环境质量总体处于中等水平,在空间上呈现由西南向东北逐渐好转的分布格局;经探索性空间数据分析得出,RSEI₀在2 km网格单元采样下的空间集聚性较强,空间异质性明显.RSEI₀块金效应为25.8%,属于中等空间变异,主要受结构性因素的影响.坡度与RSEI₀的相关性最强,呈正相关关系.坡度、高程、曲率、年均降雨量、年均温、园林地面积比例、耕地面积比例、建设用地面积比例、年均人口密度和年均GDP对RSEI₀的影响程度均显著,但对RSEI₀的影响程度不一.其中,坡度的独立解释力为57.1%,是影响鄱阳湖区RSEI₀空间变异的主要因素.研究结果可为鄱阳湖区的生态环境保护与治理提供参考依据.

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.

朱青, 国佳欣, 郭熙, 徐喆, 丁徽, 韩逸. 鄱阳湖区生态环境质量的空间分异特征及其影响因素[J]. 应用生态学报, 2019, 30(12): 4108-4116.

ZHU Qing, GUO Jia-xin, GUO Xi, XU Zhe, DING Hui, HAN Yi. Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China[J]. Chinese Journal of Applied Ecology, 2019, 30(12): 4108-4116.

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鄱阳湖区生态环境质量的空间分异特征及其影响因素

Spatial variation of ecological environment quality and its influencing factors in Poyang Lake area, Jiangxi, China

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