文献类型：期刊文献

英文题名：Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards

作者：Wang, Xiuqing[1];Mafi-Gholami, Davood[1,2];Pirasteh, Saied[1,3];Wang, Tao[1];Li, Huxiong[1];Frazier, Tim G.[4];Nouri-Kamari, Akram[1,5];Jaafari, Abolfazl[6];Abulibdeh, Ammar[7]

机构：[1]Shaoxing Univ, Inst Artificial Intelligence, 508 West Huancheng Rd, Shaoxing 312000, Zhejiang Prov, Peoples R China;[2]Shahrekord Univ, Fac Nat Resources & Earth Sci, Dept Forest Sci, Shahrekord 8818634141, Iran;[3]Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Geotech & Geomatics, Chennai, Tamilnadu, India;[4]Georgetown Univ, Sch Continuing Studies SCS, Emergency & Disaster Management Program, Washington, DC USA;[5]Univ Tehran, Fac Nat Resources, Dept Environm, Tehran, Iran;[6]Agr Res Educ & Extens Org AREEO, Res Inst Forests & Rangelands, Tehran 1496813111, Iran;[7]Qatar Univ, Coll Arts & Sci, Dept Humanities, Appl Geog & GIS Program, POB 2713, Doha, Qatar

年份：2024

卷号：132

外文期刊名：INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

收录：SCI-EXPANDED(收录号：WOS:001283439100001)、、Scopus(收录号：2-s2.0-85199539862)、WOS

基金：This research is an international collaboration aimed at establishing a foundation with the Institute of Artificial Intelligence at Shaoxing University. The goal is to support cross-disciplinary studies in Geospatial Artificial Intelligence (GeoAI) and climate change in alignment with the Sustainable Development Goals (SDGs) for 2030. This work was supported from the startup funds with project number 13011001002/244. This work was also partially funded by the Natural Sciences Foundation of Zhejiang Province under Grant No. LY23F020006.

语种：英文

外文关键词：Social-ecological systems; Exposure; Sensitivity; Adaptive capacity

外文摘要：Protected areas play a crucial role in safeguarding biodiversity and ecosystem services. However, they face mounting challenges from environmental pressures. This study examines the Oshtorankooh Protected Area (OPA) in Iran, evaluating its vulnerability to various environmental hazards from 2010 to 2020.A comprehensive set of variables, including physiographic, climatic, geological, edaphic, vegetative, hydrological, and socioeconomic factors, were utilized to compute 45 vulnerability indicators across three dimensions: exposure, sensitivity, and adaptive capacity for 2010 and 2020. Maps of these indicators were created and standardized, with weights assigned using the Fuzzy Analytic Hierarchy Process (FAHP). Composite indices for exposure, sensitivity, and adaptive capacity were then developed by integrating these weighted and standardized maps.The vulnerability indices for grid cells within the OPA enabled the identification of spatial vulnerability patterns, highlighting heightened vulnerability in the northern and western sectors influenced by factors such as drought variability, social vulnerability, evapotranspiration rates, spring discharge, and runoff dynamics. Results indicate a notable increase in vulnerability over the study period, with index values rising from 0.76 in 2010 to 2.04 in 2020. This spatially explicit vulnerability assessment underscores the dynamic nature of vulnerabilities within protected areas, emphasizing the necessity for adaptive management strategies. The findings stress the importance of tailored, evidence-based management approaches to mitigate risks and preserve ecological and socioeconomic values. Implementing adaptive management strategies informed by this assessment can bolster the resilience of protected areas against environmental threats, thereby advancing global conservation efforts.