[1]张亚丽,苏子浩,王妮,等. 基于RSEI和MSPA模型的生境质量时空动态演变分析——以安徽金寨霍山两县为例[J].西北林学院学报,2024,39(2):123-132.[doi:10.3969/j.issn.1001-7461.2024.02.16]
　ZHANG Ya-li,SU Zi-hao,WANG Ni,et al. Spatiotemporal Dynamic Evolution of Ecological Environment Quality Based on RSEI and MSPA Models:A Case Study of Jinzhai and Huoshan Counties in Anhui Province[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2024,39(2):123-132.[doi:10.3969/j.issn.1001-7461.2024.02.16]
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 基于RSEI和MSPA模型的生境质量时空动态演变分析——以安徽金寨霍山两县为例()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第39卷
期数:
2024年第2期
页码:
123-132
栏目:
出版日期:
2024-03-31

文章信息/Info

Title:
 Spatiotemporal Dynamic Evolution of Ecological Environment Quality Based on RSEI and MSPA Models:A Case Study of Jinzhai and Huoshan Counties in Anhui Province
文章编号:
1001-7461(2024)02-0123-10
作者:
 张亚丽1; 2; 苏子浩1; 王妮1; 王玉亮3
 （1.滁州学院 地理信息与旅游学院，安徽 滁州 239000；2.滁州学院 实景地理环境安徽省重点实验室，安徽 滁州 239000；3.滁州学院 计算机与信息工程学院，安徽 滁州 239000）
Author(s):
 ZHANG Ya-li1; 2; SU Zi-hao1; WANG Ni1; WANG Yu-liang3
 (1.School of Geographic Information and Tourism,Chuzhou University,Chuzhou 239000,Anhui,China; 2.Anhui Province Key Laboratory of Physical Geographic Environment,Chuzhou University,Chuzhou 239000,Anhui,China; 3.School of Computer and Information Engineering,Chuzhou University,Chuzhou 239000,Anhui,China)
关键词:
 ; RSEI; MSPA; 生境质量; Landsat
Keywords:
 ; RSEI;  MSPA;  eco-environment quality;  Landsat
分类号:
X87
DOI:
10.3969/j.issn.1001-7461.2024.02.16
文献标志码:
A
摘要:
 随着城镇化进程的加快，人类社会与自然界联系日益密切的同时，生态环境问题也日趋显著。当前大多数基于遥感的生境研究都是只采用遥感生态指数(remote sensing ecology index,RSEI)评估生境质量，缺少对生境内部结构的评估。为此，提出一套完整的生境质量评估框架，将RSEI和形态学空间格局分析(morphological spatial pattern analysis,MSPA)结合，从功能和结构2个角度综合对研究区进行生态环境监测和评价。以安徽省的金寨、霍山2县为研究对象，选取3期Landsat遥感影像，首先基于随机森林算法(random forest,RF)进行土地利用分类，然后构建RSEI评估研究区生境质量，最后以生境质量最高的森林作为主体，采用MSPA识别不同景观类型评估森林的结构变化。结果表明，1)研究期间，金寨、霍山2县面积占比最大的林地面积其RSEI均值先增加后略微减少，建设用地和耕地的面积及其RSEI均值一直呈上升趋势；2)研究区的生境质量持续稳定以“优”“良”等级为主，“差”等级区域面积呈减少趋势；3)林地内部的核心区面积呈下降趋势，RSEI均值总体却呈上升趋势。此外，孤岛、支线区面积增加的同时RSEI均值也在提高。据此，研究区的森林内部结构出现破碎化现象，但是生境功能总体呈上升趋势，这与合理的土地利用及森林内部结构的改变联系十分密切。研究结果可为与类似金寨县和霍山县的生态环境建设提供科学的参考价值。
Abstract:
 With the acceleration of urbanization process,the relationship between human society and nature is getting closer,while eco-environment problems are becoming more serious.Currently,most studies based on remote sensing only use remote sensing ecology index (RSEI) to assess eco-environment quality (EQ),but they always lacked the assessment of the internal structure of eco-environment.Using RESI and morphological spatial pattern analysis (MSPA),this study proposed a complete framework for EQ assessment,and comprehensively monitored and evaluated EQ from the perspective of function and structure.Specifically,three Landsat remote sensing images were selected for land use classification in Jinzhai and Huoshan counties of Anhui Province based on the random forest algorithm (RF),and then the RSEI was constructed to evaluate EQ.Lastly,the forest with the highest EQ was selected as the main body,and MSPA was used to identify different landscape types to assess forest structural changes.The results showed that 1) the RSEI mean value of the forest land with the largest area proportion increased firstly and then decreased slightly,while the area and the RSEI mean of construction land and cultivated land always showed an ascending tendency during the research period in two counties.2) EQ in the study area always dominated by ’excellent’ and ’good’ grades,and the area of ’poor’ grade showed a decreasing trend.3) The forest core area decreased,while the RSEI mean value increased.In addition,RSEI mean value increased with the increase of the areas of island and branch region.Thus,the forest structure in the study area is fragmented,but the eco-environment function was on the rise,which is closely related to the rational land use and the change of forest internal structure.The results of this study can provide scientific reference value for the ecological environment construction of Huoshan and Jinzhai County.

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备注/Memo

备注/Memo:
 收稿日期：2023-02-07修回日期：2023-08-15
基金项目：国家自然科学基金（41601455）；安徽省高等学校科学研究重点项目（2022AH051106）；安徽省高等学校科学研究重点项目（2022AH051119）；滁州学院省级大学生创新创业训练计划项目（2022CXXL026）。
第一作者：张亚丽，博士，助教。研究方向：林业遥感。E-mail:zyl930624@163.com
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