生态与农村环境学报 ›› 2017, Vol. 33 ›› Issue (6): 525-532.doi: 10.11934/j.issn.1673-4831.2017.06.006

• 自然保护与生态 • 上一篇    下一篇

苏州市吴中区生态保护红线区生态环境质量定量评价

贾有余1,2, 李辉2, 王钊齐2, 杜小龙2, 杨悦2, 李建龙1,2   

  1. 1. 内蒙古农牧业科学院资源环境与检测技术研究所, 内蒙古 呼和浩特 010031;
    2. 南京大学生命科学学院, 江苏 南京 210093
  • 收稿日期:2016-09-21 出版日期:2017-06-25 发布日期:2017-06-15
  • 通讯作者: 李建龙,E-mail:jlli2008@nju.edu.cn E-mail:jlli2008@nju.edu.cn
  • 作者简介:贾有余(1960-),男,内蒙古呼和哠特人,工程师,学士,主要研究方向为农牧业生态与环境保护。E-mail:jiayouyujiayouyu@126.com
  • 基金资助:

    苏州市科技计划〔科技支撑计划-农业项目(SNG201447)〕;江苏省农业三新工程项目(SXGC[2014]287);APN全球变化项目(ARCP2015-03CMY-Li);国家自然科学基金(41271361);国家重点基础研究发展计划(2010CB950702);苏州市吴中区生态红线区域保护规划项目(2014WZHB01)

Quantitative Evaluation of Eco-Environment Quality of the Terrestrial Ecological Red Line Area in Wuzhong District, Suzhou City

JIA You-yu1,2, LI Hui2, WANG Zhao-qi2, DU Xiao-long2, YANG Yue2, LI Jian-long1,2   

  1. 1. Institute of Resources and Environment and Testing Technology Sciences, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot 010031, China;
    2. School of Life Sciences, Nanjing University, Nanjing 210093, China
  • Received:2016-09-21 Online:2017-06-25 Published:2017-06-15

摘要:

为了探讨苏州市吴中区陆域生态保护红线区生态环境质量的时空变化特征,选择2000-2015年植被生长最佳时期7-8月的能反映生态环境质量的净初级生产力、地表温度、地表裸露度和植被覆盖度4个指标,利用空间主成分分析方法构建生态因子(Ef,由生态环境质量指数归一化得到),并将生态环境质量划分为5级,对Ef进行slope分析和F显著性检验,探讨7-8月月平均生态因子(Ef)和生态因子变化率(ΔEf)的坡向分异情况。结果表明,近16 a来,ΔEf在[-0.08,0.06]之间,研究区总面积43%的区域ΔEf<0,57%的区域ΔEf>0,生态环境质量总体上呈缓慢变好趋势;研究区生态环境质量总体属Ⅱ级(Ef为0.700±0.001),属Ⅰ级的有东吴国家森林公园、光福风景名胜区和米堆山生态公益林,属Ⅱ级的有西山风景名胜区、东山风景名胜区、石湖风景名胜区、藏书风景名胜区、渔洋山生态公益林、清明山生态公益林和玉屏山生态公益林,属Ⅲ级和Ⅳ级的分别为木渎风景名胜区和甪直风景名胜区。研究结果既可为苏州市吴中区生态保护提供重要的数据支撑和科学依据,又可为将来促进生态红线的智能化动态监测和有效管控提供新思路和新方法。

关键词: 生态环境质量指数, 空间主成分分析, 生态红线保护区, 坡向定量分异

Abstract:

In order to characterize spatial and temporal variation of the eco-environment in quality of the terrestrial ecological red line areas in Wuzhong District, Suzhou City, four indices were chosen, i. e. primary productivity, land surface temperature, land exposure degree and vegetation coverage of the area during the time-frames from July to August in the years of 2000-2015 when the vegetation grew optimally, for the four indices may well reflect eco-environment quality of the area; spatial principal component analysis method was used to build up an eco-environment aggregate index (Ef); co-environmental quality was divided into five grades (Ⅰ-Ⅴ), slope analysis and F significance test of Ef was performed; and slope-directive variances of monthly mean ecological factor (Ef) and ecological factor variation rate (ΔEf) was explored. Results show that during the period 2000-2015, ΔEf of the ecological red line areas varied between -0.08 and 0.06, and stayed below zero in about 43% of the areas and beyond zero in about 57%. The eco-environment quality on the whole was on a slowly rising trend, lingering in Grade Ⅱ with Ef being 0.700±0.001. Grading of the red line areas in terms of eco-environment quality shows that 3 in Grade Ⅰ, 7 in Grade Ⅱ, 1 in Grade Ⅳ and 1 in Grade Ⅴ. All the findings in this study may serve as important statistical supports and scientific evidence for protection of the ecological red line areas at Wuzhong District, Suzhou City, and contribute new thoughts and solutions to dynamic monitoring and management assessment of the ecological red line areas.

Key words: eco-environmental quality index, spatial principal component analysis, terrestrial ecological red line areas, quantitative slope directive variance

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