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Using RS/GIS for Spatiotemporal Ecological Vulnerability Analysis Based on DPSIR Framework in the Republic of Tatarstan, Russia.

Ecological Informatics(2022)

Samara Natl Res Univ

Cited 33|Views1
Abstract
The republic of Tatarstan is one of the most growing state in Russia in terms of industrialization and modernization with various natural disasters and intense human activities which brought dramatic changes in the ecological process and then led to serious ecological vulnerability. Therefore this research work proposed an analytical framework based on remote sensing (RS), geographical information system (GIS), and analytical hierarchy process (AHP) for spatiotemporal ecological vulnerability analysis at pixel level from 2010 to 2020 and developed a driver-pressure-state-impact-response (DPSIR) framework based on 23 indicators by the AHP weight method to compute ecological vulnerability index (EVI). Further, EVI was classified into five levels based on natural breaks in ArcGIS software as potential, slight, light, moderate, and heavy levels. All 23 indicators were generated from different remote sensing and socio-economic data, processed through digital image processing techniques in terms of removing errors, projection, standardization, and results were saved in GIS format. Results indicate that from 2010 to 2020, EVI was continuously increased from 0.419 to 0.429, and its changes associated with regional vulnerability events and their impact in the region. The moderate level EVI was covering the highest area in all three years with very few changes and continuously increasing. Results also indicate that higher human-socio-economic activities and pressure on natural resources increased ecological vulnerability. This research work is useful to identify main causes and responsible indicators for ecological vulnerability as well as suitable for real-time EVI mapping, monitoring at any scale and region.
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Key words
Ecological vulnerability index,Driver pressure state impact response,Remote sensing &amp,GIS,Analytic hierarchy process,Spatiotemporal changes
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要点】:本研究以俄罗斯鞑靼斯坦共和国为对象,运用遥感(RS)、地理信息系统(GIS)和层次分析法(AHP),基于DPSIR框架进行2010至2020年像素级别的时空生态脆弱性分析,发现生态脆弱性指数(EVI)逐年上升。

方法】:研究构建了基于23个指标的DPSIR框架,并采用AHP权重法计算EVI,通过ArcGIS软件将EVI分为潜在、轻微、轻度、中等和重度五个级别。

实验】:研究使用了不同来源的遥感和社会经济数据,通过数字图像处理技术进行数据清洗和标准化,最终将结果保存为GIS格式。实验结果显示,2010至2020年间,EVI从0.419上升到0.429,且与区域脆弱性事件及其影响相关联。中等脆弱性级别的EVI覆盖面积最大,且持续增加。