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国土资源遥感  2020, Vol. 32 Issue (2): 251-258    DOI: 10.6046/gtzyyg.2020.02.32
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于PSR模型的四川生态系统健康时空动态研究
徐洲洋
西南石油大学土木工程与建筑学院,成都 610500
Spatial-temporal dynamics of ecosystem health in Sichuan Province based on PSR model
Zhouyang XU
School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500,China
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摘要 

四川省快速的经济发展和城镇化进程,引发了许多生态环境问题,评价其生态健康状况对区域可持续发展具有重要的意义。基于2000—2016年间四川省社会、经济、农业、生态等市级数据,以及降尺度模型获取的县级数据,建立压力-状态-响应模型,分市级和县级2种尺度对四川省区域的生态系统健康进行综合评价和分析。结果表明: 在2000—2016年间,四川省生态系统健康状况整体得分从0.610上升到0.687,整体的生态状况越来越好,但区域之间的发展极不平衡,东部地区优于西部地区,成都市的优势突出,与其他地区的差距明显; 对各县的生态系统健康状况评价等级为“不健康”及“病态”的县占总数的27.9%,一半左右的县在“正常”等级以上, 等级为“病态”的县主要集中在甘孜藏族自治州和阿坝藏族羌族自治州,应对川西北部的生态健康状况引起足够的重视。

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徐洲洋
关键词 生态系统健康压力状态响应四川省    
Abstract

A great many ecological and environmental problems have been caused in the course of rapid economic development and urbanization in Sichuan Province. Evaluating ecosystem health condition is of significant importance for regional sustainable development. Based on relevant city-level data in social, economic, agricultural and ecological aspects from 2000 to 2016 as well as county-level data obtained through the downscaling model, the authors built the pressure-status-response model to make comprehensive evaluation and analysis of ecosystem health of studied regions in Sichuan Province on city-level and county-level scales. The results show that the overall score of ecosystem health in Sichuan increased from 0.610 to 0.687 in 2000—2016, but the spatial distribution shows that the eastern part of Sichuan was better than the western part. The development between studied regions is extremely unbalanced. Chengdu had outstanding advantages in comparison other regions. The results of ecosystem health assessment in each county shows that 27.9% of the total counties are “unhealthy” and “sick”, while about half of the counties are above the “normal” level. The counties whose evaluation results are “sick” are mainly concentrated in Garze and Aba prefectures. The ecological health status in northwest Sichuan deserves much more attention.

Key wordsecosystem health    pressure    state    response    Sichuan Province
收稿日期: 2019-05-17      出版日期: 2020-06-18
:  TP79  
基金资助:国家自然科学基金项目“基于人类动力学的面向震后救援的人员在地理建筑空间的分布规律研究”(51774250);四川省科技计划项目“基于移动终端的室内定位技术的面向地震救援的人群在地理空间分布规律研究”(2019JDR0112)
作者简介: 徐洲洋(1994-),男,硕士研究生,研究方向为地理信息技术的应用。Email: 787090191@qq.com。
引用本文:   
徐洲洋. 基于PSR模型的四川生态系统健康时空动态研究[J]. 国土资源遥感, 2020, 32(2): 251-258.
Zhouyang XU. Spatial-temporal dynamics of ecosystem health in Sichuan Province based on PSR model. Remote Sensing for Land & Resources, 2020, 32(2): 251-258.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2020.02.32      或      https://www.gtzyyg.com/CN/Y2020/V32/I2/251
Fig.1  研究区地理位置
一级指标 二级指标 三级指标 权重
压力 自然 气温距平 0.065
降雨距平 0.094
农业 农作物播种面积 0.263
化肥施用量 0.138
人口 人口密度 0.216
人口自然增长率 0.223
状态 经济 人均国内生产总值(gross domestic product,GDP) 0.197
农民人均纯收入 0.224
农业 单位面积粮食产量 0.183
单位面积粮食产量 0.232
生态 NDVI 0.163
响应 农业 农业机械总动力 0.222
有效灌溉面积 0.179
社会 公路总里程 0.174
第三产业占比 0.085
人均地方财政一般预算支出 0.168
人均全社会固定资产投资 0.171
Tab.1  生态系统健康评价指标
指标 拟合方程 决定系数R2
农业机械总动力 y = 0.787x+5.250 0.82
农林牧渔总产值 y = 0.989x+0.349 0.98
Tab.2  推算数据与原始数据拟合结果
Fig.2  2000—2016年四川省生态系统健康状况
Fig.3  生态系统首位度和变异系数变化
Fig.4  四川省市级生态系统健康评价压力,状态和响应得分
Fig.5  2000年与2016年四川省市级生态系统健康状况
Fig.6  生态系统健康标准差椭圆及重心分布
Fig.7  县级生态系统压力、状态和响应得分
Fig.8  县级生态系统健康状况
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