摘要
利用2000和2017年Landsat5/TM和Landsat8/OLI影像,基于遥感生态指数(RSEI)模型,结合2000-2017年南京市气象观测数据和社会经济数据,对南京及其特色生态区域的生态环境变化进行分析与评估,结果表明:2000-2017年,南京市RSEI平均值由0.626降至0.618;将RSEI值分成差、较差、一般、良和优5个等级,良好以上面积占比由61. 0%降至57.1%,较差以下等级面积占比略有上升;与2000年相比,2017年南京市生态质量变好的面积占比为34.5%,变差的为34.7%,30.8%的面积基本不变,其中,主城区的生态质量明显好转,生态质量好转的面积超过了变差的面积,而新城区和郊区生态质量明显恶化,生态质量变差的面积超过了好转的面积;在3个生态保护区中,紫金山生态质量明显好于老山和江心洲;城镇化率与RSEI呈极显著负相关关系,相关系数达-0.91。城市化进程总体上会对生态环境产生负面影响,但严格的保护和管理措施可以使良好的生态环境得以保持甚至改善。
Using Landsat 5/TM and Landsat 8/OLI images in 2000 and 2017,based on remote sensing ecological index( RSEI) model,combined with meteorological observation data and socioeconomic data in Nanjing from 2000 to 2017,we analyzed and evaluated the ecological environment changes and the characteristic ecological areas in Nanjing. The results showed that the average RSEI of Nanjing decreased from 0.626 to 0.618 during 2000-2017. The RSEI values could be divided into five grades: bad,poor,fair,good and excellent. The proportion of area above good grade decreased from 61. 0% to 57. 1%,while that below poor grade increased slightly. Compared with2000,the proportion of areas with improved ecological environment quality was 34.5%,34.7% area had deteriorated,and 30.8% area remained unchanged in 2017. Among them,the ecological quality of main urban area had significantly improved,and the area with improved ecological quality exceeded that of deterioration. The ecological quality of new urban area and suburbs had deteriorated.The area with poor ecological environment exceeded the area of improvement. Among the three ecological protection areas,the ecological quality of Zijin Mountain was significantly better than that of Laoshan Mountain and Jiangxinzhou. The urbanization rate was negatively correlated with RSEI,with a correlation coefficient of-0.91. The urbanization process would have negative impacts on the ecological environment in general. However,strict protection and management measures could maintain the good ecological environment even improve it.
作者
杭鑫
罗晓春
曹云
李亚春
HANG Xin;LUO Xiao-chun;CAO Yun;LI Ya-chun(Jiangsu Climate Center,Nanjing 210008,China;Jiangsu Meteorological Senice Center,Nanjing 210008,China;61175 Troops,Nanjing 210049,China)
出处
《应用生态学报》
CAS
CSCD
北大核心
2020年第1期219-229,共11页
Chinese Journal of Applied Ecology
基金
江苏省气象局重点科研项目(KZ202003)
江苏省气象局面上项目(KM202004)资助~~
关键词
生态质量
遥感生态指数(RSEI)
城镇化
南京市
ecological quality
remote sensing based ecological index(RSEI)
urbanization
Nanjing
