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Prioritizing key biodiversity areas for conservation based on threats and ecosystem services using participatory and GIS-based modeling in Chindwin River Basin, Myanmar

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  • Shrestha, Manish
  • Piman, Thanapon
  • Grünbühel, Clemens

Abstract

The varied ecosystems within the Chindwin River Basin (CRB) and its natural biodiversity make it one of the most critical hotspots in the Indo-Burma region. Key Biodiversity Areas (KBA) in the CRB are increasingly facing threats from development activities, such as commercial logging, mining, and agriculture. This study applies a mixed approach to assess the level of threat and to quantify key ecosystem services at the basin and KBA levels. A GIS-based Multi-Criteria Decision Making (MCDM) approach was used to assess threats from key economic sectors via stakeholder participation. The InVEST model was applied to assess ecosystem services including water yield, sediment retention, nutrient retention, and carbon storage. The most significant threats to biodiversity in the basin were found to be mining, logging, dam construction, and agriculture. The highest degree of ecosystem services was found in the northern CRB, which is almost completely covered by forest. Overall, 87% of KBAs provide a high degree of ecosystem services. The KBAs were prioritized for conservation based on the threat level and degree of ecosystems provided, as well as in consultation with stakeholders. The results of this study provide a strategic focus for preparing an environment conservation strategy and action plan for the CRB in Myanmar.

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  • Shrestha, Manish & Piman, Thanapon & Grünbühel, Clemens, 2021. "Prioritizing key biodiversity areas for conservation based on threats and ecosystem services using participatory and GIS-based modeling in Chindwin River Basin, Myanmar," Ecosystem Services, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:ecoser:v:48:y:2021:i:c:s2212041621000024
    DOI: 10.1016/j.ecoser.2021.101244
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    1. Karki, Seema & Webb, J Angus & Stewardson, Michael J. & Fowler, Keirnan & Kattel, Giri Raj, 2023. "Basin-scale riverine ecosystem services vary with network geometry," Ecosystem Services, Elsevier, vol. 63(C).
    2. Theint Thandar Bol & Timothy O. Randhir, 2024. "Predicting Land Use and Land Cover Changes in the Chindwin River Watershed of Myanmar Using Multilayer Perceptron-Artificial Neural Networks," Land, MDPI, vol. 13(8), pages 1-20, July.
    3. Xinyu Shi & Xiaoqing Zhao & Junwei Pu & Pei Huang & Zexian Gu & Yanjun Chen, 2022. "Evolution Modes, Types, and Social-Ecological Drivers of Ecologically Critical Areas in the Sichuan–Yunnan Ecological Barrier in the Last 15 Years," IJERPH, MDPI, vol. 19(15), pages 1-16, July.

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