利用 LTSS 和修正的 RSEI 分析 1990-2020 年城市森林公园的生态环境质量--南京紫金山国家森林公园案例研究

IF 2.4 2区农林科学 Q1 FORESTRY

Forests Pub Date : 2023-12-17 DOI:10.3390/f14122458

Fang Ren, Jiaoyang Xu, Yi Wu, Tao Li, Mingyang Li

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引用次数: 0

摘要

对城市森林生态环境质量（EEQ）进行长期评价并分析其时空变化的驱动因素，可为城市森林长期规划决策提供科学依据。考虑到城市森林公园建设用地和裸露土地面积比例低、植被覆盖率高、森林干扰严重等特点，我们基于遥感生态指数MRSEI构建了修正的城市森林公园生态环境质量评价指标。选取南京紫金山国家森林公园为研究区域，以1990-2020年的陆地卫星时间序列叠加（LTSS）遥感影像为主要数据源，采用建议的修正MRSEI、Theil-Sen中值法和Hurst指数对EEQ进行评价，分析其在研究区域的时空变化及其驱动因素。主要研究成果如下(1）1990-2020 年紫金山 EEQ 呈上下波动、总体缓慢上升趋势，空间自相关系数总体呈下降趋势；（2）EEQ 持续区面积占比 78.69%，反持续区面积占比 21.31%；（3）研究区 EEQ 空间中心主要集中在紫金山南坡中上部，1990-2020 年呈南移趋势；（4）驱动因素分析表明，气候因素、森林景观结构、森林干扰和森林生长条件是影响研究区 EEQ 的主要驱动因素。这些结果为分析中国城市森林公园长期的 EEQ 变化提供了一个研究框架。

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Analysis of Eco-Environmental Quality of an Urban Forest Park Using LTSS and Modified RSEI from 1990 to 2020—A Case Study of Zijin Mountain National Forest Park, Nanjing, China

Evaluating the long-term urban forest ecological environmental quality (EEQ) and analyzing the drivers of its spatiotemporal changes can provide a scientific basis for making long-term urban forest planning decisions. Taking into account the characteristics of urban forest parks with low area proportions of construction land and bare land, high vegetation coverage, and serious forest disturbances, we constructed a modified urban forest park EEQ evaluation index based on a remote sensing ecological index named MRSEI, which is composed of the Landsat enhanced vegetation index (EVI), wetness, land surface temperature (LST), and forest disturbance index (FDI). We selected the Nanjing Zijin Mountain National Forest Park as the study area, used landsat time series stack (LTSS) remote sensing images from 1990 to 2020 as the main data source, and adopted the suggested modified MRSEI, the Theil-Sen median method, and the Hurst index to evaluate the EEQ to analyze its spatiotemporal variations and its driving factors in the study area. The main research results were as follows: (1) the EEQ of Zijin Mountain showed an up-and-down, overall slowly increasing trend from 1990 to 2020, while the spatial auto-correlation coefficient showed an overall decreasing trend; (2) the area percentage of the EEQ-persistent region accounted for 78.69%, and the anti-sustainable region accounted for 21.31%; (3) the spatial centers of the EEQ in the study area were mainly concentrated on the middle and upper part of the southern slope of Zijin Mountain, moving southward from 1990 to 2020; (4) the analysis of drivers showed that climate factors, forest landscape structure, forest disturbances, and forest growth conditions were the main driving factors affecting the EEQ in the study area. These results provide a research framework for the analysis of EEQ changes over a long-term period in the urban forest parks of China.

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来源期刊

Forests FORESTRY-

CiteScore

4.40

自引率

17.20%

发文量

1823

审稿时长

19.02 days

期刊介绍： Forests (ISSN 1999-4907) is an international and cross-disciplinary scholarly journal of forestry and forest ecology. It publishes research papers, short communications and review papers. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.