[1]冉凤维,罗志军,曹丽萍,等.南昌市生态服务价值变化及其驱动因素分析[J].水土保持研究,2018,25(03):177-183.
　RAN Fengwei,LUO Zhijun,CAO Liping,et al.Analysis on the Change of Ecological Service Value and Its Driving Factors in Nanchang[J].Research of Soil and Water Conservation,2018,25(03):177-183.
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南昌市生态服务价值变化及其驱动因素分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年03期 页码: 177-183 栏目: 出版日期: 2018-04-10
Title:
Analysis on the Change of Ecological Service Value and Its Driving Factors in Nanchang
作者:
冉凤维1,2, 罗志军1,2, 曹丽萍1,2, 赵杰1,2, 赵越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
Author(s):
RAN Fengwei1,2, LUO Zhijun1,2, CAO Liping1,2, ZHAO Jie1,2, ZHAO Yue1,2
1. College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China;
2. Jiangxi Provincial Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology, Nanchang 330045, China
关键词:
生态服务价值; 时空特征; 驱动因素; STIRPAT模型; 南昌市
Keywords:
ecological service value; spatial-temporal characteristics; driving factors; STIRPAT model; Nanchang
分类号:
F301;Q146
摘要:
理解和把握区域生态服务价值的变化规律最有效的手段是对其自身变化及驱动因素进行研究。以南昌市为例，依据2000年、2005年、2010年、2015年4期的遥感影像，运用RS和GIS技术对其处理获得了各期土地利用数据，然后通过修订研究区不同土地利用类型生态服务价值系数，对近15年南昌市生态服务价值时空变化特征进行研究，并利用STIRPAT模型和地理加权回归分析了生态服务价值变化的驱动因素及差异性。结果表明：近15年南昌市生态服务价值变化不大，其总量由2000年的390.35亿元增加到2015年的393.30亿元；2000-2015年高生态服务价值区主要分布在新建县东部和进贤县北部，低生态服务价值区主要分布在南昌市城区；生态服务价值主要驱动因素为总人口、第三产业比重和万元GDP能耗，且都与人均ESV呈负相关关系；不同时期生态服务价值的驱动因素不同，同一驱动因素在不同时期的弹性系数不同，所承受的压力不同，而南昌市各县区驱动因素的影响程度和承受压力也不同。
Abstract:
The most effective way to understand the change of regional ecological service value is to study its change and driving factors. Nanchang City was taken as an example. RS and GIS techniques were used to obtain land use data according to the remote sensing images of 2000, 2005, 2010 and 2015. Then, the spatial and temporal characteristics of ecological service values in recent 15 years were studied by revising the ecological service value coefficients of different land use types in the study area. The driving factors and the differences of ecological service values were analyzed by STIRPAT model and geo-weighted regression model. The results show that:in the past 15 years, the ecological service values in Nanchang had changed little, and the total had increased from 3.903 5×1010 yuan in 2000 to 3.933 0×1010 yuan in 2015; the high ecological service value areas mainly distributed in the east of Xinjian County and north of Jinxian County, while the low section mainly distributed in the center of Nanchang. The major driving factors of ecological service value (ESV) change are the total population, the proportion of the third industry and the total energy consumption per capita which have a negative correlation with the per capita ESV. There were own driving factors of ESV in different periods, and each factor had its own influence. By analyzing the driving factors of the ecological service value of each district, the influences and born pressures of the driving factors in different regions of Nanchang were different.

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备注/Memo

收稿日期:2017-07-31;改回日期:2017-08-12。
基金项目:国家自然科学基金（41361035）；江西省教育厅科技项目（GJJ150421）资助
作者简介:冉凤维(1993-),女(土家族),贵州思南人,硕士研究生,主要从事土地资源方面研究。E-mail:Rfwei1208@163.com
通讯作者:罗志军(1976-),男,江西新余人,副教授,博士,主要从事土地管理和3S应用方面研究。E-mail:luozj10@163.com

更新日期/Last Update: 1900-01-01