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Spatial E-PSR modelling for ecological sensitivity assessment for arid rangeland resilience and management

Author

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  • Raj, Alok
  • Sharma, Laxmi Kant

Abstract

In semi-arid regions, land vulnerability and food security are crucial challenges for the scientific community, as millions of livestock keepers depend on rangeland ecosystem services. However, the Aravalli range is a fragile ecotonal arid ecosystem of western India, which acts as a barrier against the desertification of the Thar Desert. Besides increasing biotic pressure, land cover change, precipitation variability, and climate water deficits have a high potential to render the exploitation of resources unsustainable. This study is on the urgent basis addressing the sensitivity, fragility, and vulnerability status for rangeland ecosystem conservation management practices. Based on 17 distinct environmental indicators under five themes: topography, geo-climatic, socio-economic, ecological, and edaphic, which measure their susceptibility. Then, they evaluate their characteristics and sensitivity responses, as well as the resilience capabilities of the areas, utilizing the integrative methodology of the E-PSR (Ecosystem – Pressure, Sensitivity, and Resilience) model using a weightage decision matrix geostatistical approach. As a result, the study area is categorised into four eco-sensitive areas: I, II, III, and IV; they have an area of 4.1%, 62.5%, 32.2%, and 1.2%, respectively. As well, vulnerability reasons, i.e., human intervention, regulations, and management strategies for the arid rangeland ecosystem were discussed. To achieve eco-sensitivity and ecosystem stability in this study area, the government and conservationists must manage invasive species dominance and adjust buffer zones in reserve areas. In addition, study suggests using cutting-edge-technology for monitoring. In sum, this study helps governments and ecologists understand arid mountainous environments, their sensitivity and management.

Suggested Citation

  • Raj, Alok & Sharma, Laxmi Kant, 2023. "Spatial E-PSR modelling for ecological sensitivity assessment for arid rangeland resilience and management," Ecological Modelling, Elsevier, vol. 478(C).
  • Handle: RePEc:eee:ecomod:v:478:y:2023:i:c:s030438002300011x
    DOI: 10.1016/j.ecolmodel.2023.110283
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    References listed on IDEAS

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    1. Zhi Qiao & Xi Yang & Jun Liu & Xinliang Xu, 2013. "Ecological Vulnerability Assessment Integrating the Spatial Analysis Technology with Algorithms: A Case of the Wood-Grass Ecotone of Northeast China," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-8, April.
    2. Chunsheng Wu & Gaohuan Liu & Chong Huang & Qingsheng Liu & Xudong Guan, 2018. "Ecological Vulnerability Assessment Based on Fuzzy Analytical Method and Analytic Hierarchy Process in Yellow River Delta," IJERPH, MDPI, vol. 15(5), pages 1-14, April.
    3. Martínez-Valderrama, J. & Ibáñez, J. & Ibáñez, M.A. & Alcalá, F.J. & Sanjuán, M.E. & Ruiz, A. & del Barrio, G., 2021. "Assessing the sensitivity of a Mediterranean commercial rangeland to droughts under climate change scenarios by means of a multidisciplinary integrated model," Agricultural Systems, Elsevier, vol. 187(C).
    4. Li, Lu & Shi, Zhi-Hua & Yin, Wei & Zhu, Dun & Ng, Sai Leung & Cai, Chong-Fa & Lei, A-Lin, 2009. "A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China," Ecological Modelling, Elsevier, vol. 220(23), pages 3439-3447.
    5. Everard, Mark & Khandal, Dharmendra & Sahu, Y.K., 2017. "Ecosystem service enhancement for the alleviation of wildlife-human conflicts in the Aravalli Hills, Rajasthan, India," Ecosystem Services, Elsevier, vol. 24(C), pages 213-222.
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    Cited by:

    1. Xiaoling Xie & Gaonan Zhou & Shibao Yu, 2023. "Study on Rural Ecological Resilience Measurement and Optimization Strategy Based on PSR-“Taking Weiyuan in Gansu Province as an Example”," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    2. Xu, Aokang & Hu, Mengjun & Shi, Jing & Bai, Qingzhu & Li, Xuehong, 2024. "Construction and optimization of ecological network in inland river basin based on circuit theory, complex network and ecological sensitivity: A case study of Gansu section of Heihe River Basin," Ecological Modelling, Elsevier, vol. 488(C).

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