التفاصيل البيبلوغرافية
| العنوان: |
Application of CRISP-DM methodology for managing human-wildlife conflicts: an empirical case study in India. |
| المؤلفون: |
Krishnaswamy, Venkataraghavan, Singh, Nitin, Sharma, Mayank, Verma, Neha, Verma, Amit |
| المصدر: |
Journal of Environmental Planning & Management; Oct2023, Vol. 66 Issue 11, p2247-2273, 27p, 2 Diagrams, 5 Charts, 2 Graphs, 2 Maps |
| مصطلحات موضوعية: |
CONFLICT management, LIVESTOCK losses, PROTECTED areas, CROP losses, EMPIRICAL research |
| مصطلحات جغرافية: |
INDIA |
| مستخلص: |
Human-wildlife conflict (HWC) is a major concern for protected area management. Managing HWC around protected areas requires structured and replicable processes to reduce subjectivity and promote adherence to good governance principles. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely-used process model for structured decision-making. This study demonstrates the novel application of CRISP-DM to HWC related decision-making. We apply CRISP-DM and conduct hotspot and temporal (monthly) analysis of HWC data from Ramnagar Forest Division, India. Based on the patterns of crop loss, livestock loss, and human loss, we propose conflict-type and species-specific preventive strategies. A qualitative assessment of the initial outcomes of the ongoing implementation finds the preventive strategies to be effective. We suggest a participatory approach, localization of strategy, and need for data management as opportunities for improvement. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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