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植被综合生态质量时空变化动态监测评价模型
引用本文:钱拴,延昊,吴门新,曹云,徐玲玲,程路.植被综合生态质量时空变化动态监测评价模型[J].生态学报,2020,40(18):6573-6583.
作者姓名:钱拴  延昊  吴门新  曹云  徐玲玲  程路
作者单位:国家气象中心,国家气象中心,国家气象中心,国家气象中心,国家气象中心,国家气象中心
基金项目:中国气象局保障生态文明气象监测与评估能力示范项目(ZQH2017263) *通讯作者 Corresponding author, E-mail:qians@cma.gov.cn
摘    要:为了能掌握全国植被综合生态质量的高低及其时空变化,构建了既能反映植被生产力又能反映植被覆盖度的植被综合生态质量指数,建立了植被综合生态质量指数年际对比和多年变化趋势评价模型。利用构建的指数和评价模型,以2017年作为监测评价的当年,以2000—2017年作为评价的多年时段,对全国植被综合生态质量时空变化进行了监测评价。结果表明:(1)2017年全国大部地区植被综合生态质量指数高于2000—2016年多年平均值,生态质量偏好;2017年福建、广西、海南、广东、云南植被综合生态质量位居全国前五位,构建的植被综合生态质量指数及其年际对比模型可以定量反映全国植被综合生态质量的空间差异和年际差异。(2)全国有90.7%的区域2000—2017年植被综合生态质量指数呈提高趋势,东北地区西部、内蒙古东部、华北大部、西北地区东部、西南地区东部、华南西部等地生态质量指数提升明显,构建的植被综合生态质量指数多年变化趋势评价模型可以定量反映植被生态质量的多年变化趋势和幅度。(3)南方大部地区2000—2017年平均年植被综合生态质量指数在50.0以上,北方大部地区在50.0以下;我国中东部大部地区在20.0以上,西部大部地区在20.0以下,表明南方大部地区年植被生态质量好于北方、中东大部好于西部。可见,构建的植被综合生态质量指数及其年际对比和多年变化趋势评价模型,能够监测评价当年和多年全国植被综合生态质量的时空变化,可为掌握全国植被生态质量动态提供模型和方法。

关 键 词:植被综合生态质量指数  净初级生产力  覆盖度  时空变化  监测评价
收稿时间:2019/6/4 0:00:00
修稿时间:2020/6/4 0:00:00

Dynamic monitoring and evaluation model for spatio-temporal change of comprehensive ecological quality of vegetation
QIAN Shuan,YAN Hao,WU Menxin,CAO Yun,XU Lingling,CHENG Lu.Dynamic monitoring and evaluation model for spatio-temporal change of comprehensive ecological quality of vegetation[J].Acta Ecologica Sinica,2020,40(18):6573-6583.
Authors:QIAN Shuan  YAN Hao  WU Menxin  CAO Yun  XU Lingling  CHENG Lu
Affiliation:National Meteorological Center,,,,,
Abstract:In order to get the information of the comprehensive ecological quality of vegetation in China and its spatio-temporal change, a comprehensive ecological quality index of vegetation, which can reflect both vegetation productivity and vegetation coverage was constructed. The evaluation models for the inter-annual comparison of comprehensive ecological quality of vegetation and multi-year change trend were established. Based on the constructed index and evaluation models, 2017 is used as the current year, and 2000-2017 is used as multi-year to monitor and evaluate the temporal and spatial changes of the comprehensive ecological quality index of vegetation in China. The results showed that: (1) for the most areas of China, the comprehensive ecological quality of vegetation in 2017 was higher than that of the mean annual value from 2000 to 2016, and the ecological quality was better. In 2017, Fujian, Guangxi, Hainan, Guangdong and Yunnan ranked among the top five in terms of the comprehensive ecological quality of vegetation. The constructed comprehensive ecological quality index of vegetation and inter-annual comparison model could reflect the inter-annual and spatial differences of vegetation ecological quality quantitatively in China. (2) The comprehensive ecological quality index of vegetation in 90.7% of the regions in China was on the rise from 2000 to 2017. The ecological quality index of the western part of Northeast China, the east of Inner Mongolia, most of North China, the east of Northwest region, the east of Southwest region, and the western part of South China has improved obviously. The evaluation model of ecological quality multi-year change trend of vegetation can quantitatively reflect the multi-year change trend and amplitude of vegetation ecological quality. (3) The mean annual value of the comprehensive ecological quality index of vegetation from 2000 to 2017 was above 50.0 in most areas of the southern China, and below 50.0 in most areas of the northern China, and above 20.0 in most areas of the middle and eastern China, and below 20.0 in most areas of the western China. These indicated that the annual comprehensive ecological quality of vegetation in most areas of the southern China was better than that in the north, better in most areas of the middle and eastern China than that in the west. It can be seen that the comprehensive ecological quality index of vegetation and the evaluation models of inter-annual comparison and multi-year change trend can monitor and evaluate the temporal and spatial changes of the comprehensive ecological quality of vegetation in the current year and many years in China. The results of this research can provide models and methods for getting the dynamics of the comprehensive ecological quality of vegetation in China.
Keywords:comprehensive ecological quality index of vegetation  net primary productivity  vegetation coverage  temporal and spatial change  monitoring and evaluating
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