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南方丘陵区耕地景观生态安全影响因素及其空间差异
引用本文:韩逸,郭熙,江叶枫,饶磊,孙凯,李婕,王澜珂.南方丘陵区耕地景观生态安全影响因素及其空间差异[J].生态学报,2019,39(17):6522-6533.
作者姓名:韩逸  郭熙  江叶枫  饶磊  孙凯  李婕  王澜珂
作者单位:江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045,江西农业大学国土资源与环境学院, 南昌 330045;江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室, 南昌 330045
基金项目:国家自然科学基金项目(41561049);江西省杰出青年科学基金(20171BCB23049);国土资源部土地整治中心(20170414)
摘    要:构建耕地景观生态安全格局是抵御区域耕地生态风险,保障耕地生态质量的重要举措。研究以南方丘陵区典型县-奉新县为研究区,选取部分景观格局指数构建南方丘陵区耕地景观生态安全评价模型,分析了县域尺度耕地景观生态安全状况及其空间聚集特征,并尝试应用地理加权回归模型探究自然和社会经济因素对区域耕地景观生态安全影响作用的空间地域差异。结果表明:耕地景观生态安全处于"危险"状态的行政村占研究区总数的12.92%,区域耕地景观生态安全问题存在明显的空间聚集性;地理加权回归模型较传统全局回归模型有较好的拟合优度,可以较好地揭示影响因素作用的地域差异;自然,社会经济因素对耕地景观生态安全的影响具有显著的空间非平稳性,依据影响因素作用强度的地域差异可以将研究区划分为距居民点的距离、地形位指数、年平均降雨量负向影响区和人口密度正向影响区。研究为确定耕地景观生态安全干扰来源及探究耕地保护对策如何落实到空间地域上提供了参考依据。

关 键 词:耕地  景观生态安全  空间差异性  地理加权回归模型  南方丘陵区
收稿时间:2018/4/21 0:00:00
修稿时间:2019/4/15 0:00:00

Cultivated land landscape ecological security: Influencing factors and spatial differences in the hilly region of South China
HAN Yi,GUO Xi,JIANG Yefeng,RAO Lei,SUN Kai,LI Jie and WANG Lanke.Cultivated land landscape ecological security: Influencing factors and spatial differences in the hilly region of South China[J].Acta Ecologica Sinica,2019,39(17):6522-6533.
Authors:HAN Yi  GUO Xi  JIANG Yefeng  RAO Lei  SUN Kai  LI Jie and WANG Lanke
Affiliation:Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China,Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China and Academy of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China;Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University, Nanchang 330045, China
Abstract:Constructing the ecological security pattern of cultivated land landscape is an important measure to resist the regional ecological risk to cultivated land and ensure its ecological quality. The study takes Fengxin, a typical southern hilly county, as the research area, and selects some landscape pattern indices to construct an ecological security evaluation model for cultivated land landscapes in that area, and analyzes the ecological security status and spatial aggregation characteristics of cultivated land landscape at county scale. Then, the spatial and regional differences in the effects of natural and socio-economic factors on the regional ecological security were explored by using the geographically weighted regression model. The results showed that:Villages with a "dangerous" state of cultivated land landscape ecological security accounted for 12.92% of the total research area, and the spatial security of regional cultivated land landscape has obvious spatial clustering; Compared to the traditional global regression model, the geographically weighted regression model has better goodness of fit, can reveal the regional differences of influencing factors preferably; The influence of natural and socio-economic factors on the ecological security of cultivated land landscape has significant spatial nonstationarity. According to the regional effect differences of the influence factors, the study area could be divided into the negative impact areas of distance to residents, terrain index and annual average rainfall, and positive impact zone of population density. The study provides a reference for determining the source of ecological security disturbance to cultivated land landscape, and exploring how to implement cultivated land protection countermeasures in spatial areas.
Keywords:cultivated land  landscape ecological security  spatial difference  geographically weighted regression model  South hilly area
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