了解印度泰米尔纳德邦人象冲突的模式和预测因素

IF 1.8 3区 生物学 Q3 ECOLOGY European Journal of Wildlife Research Pub Date : 2024-09-14 DOI:10.1007/s10344-024-01848-6
Thekke Thumbath Shameer, Priyambada Routray, A. Udhayan, Nihar Ranjan, Manikka Govindan Ganesan, Arulmani Manimozhi, Dhayanithi Vasanthakumari
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摘要

栖息地的丧失和侵占导致保护工作面临挑战,例如人象冲突(HEC)。了解人象冲突的模式和预测因素对于确定缓解工作的优先区域至关重要。因此,我们在印度泰米尔纳德邦的森林分区开展了一项研究。我们从林业部门在各森林分区维护的补偿数据库中收集了 2016-2021 年的 HEC 数据。我们的分析包括分区、作物、冲突评估、时间分析和冲突风险建模 (CRM)。根据可能影响 HEC 的变量,我们将林区划分为 4 个不同的区域。结果显示,冲突频率较高的是位于霍苏尔分区的登康科泰林区,该林区属于 1 区。11 月至次年 1 月的冲突发生率较高,这与耕种季节相符。大象主要破坏小米(rabi)(Eleusine coracana),数量为 2,182 头,尤其是在 11 月和 12 月,其次是香蕉(Musa 属),数量为 1,690 头。根据 CRM 预测,泰米尔纳德邦西南和西北地区的冲突风险较高,中度和高度冲突风险区的面积分别为 17 025 平方公里和 3521 平方公里。CRM 发现,预测冲突风险最重要的变量是年平均气温、人类改造指数和数字高程模型。冲突风险较高的地区更靠近森林植被、耕地、道路和水体。这些地区的地形崎岖程度通常较低,人为改造程度较高,气温较低,植被茂密。本研究的结果表明,有必要采用综合、多维的方法来管理黑海生态系统,这对促进该地区人象共存至关重要。
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Understanding the patterns and predictors of human-elephant conflict in Tamil Nadu, India

Habitat loss and encroachment lead to conservation challenges such as human-elephant conflicts (HEC). Understanding the patterns and predictors of HEC is crucial to identify priority areas for mitigation efforts. Accordingly, a study was conducted across the forest divisions of Tamil Nadu, India. We collected HEC data for 2016–2021 from the forest department compensation database maintained in forest divisions. Our analysis encompassed division-wise, crop-wise, conflict-wise assessments, temporal analysis and conflict risk modelling (CRM). We divided the forest divisions into 4 different zones based on the variables that likely influence HEC. The results revealed that conflict frequency was higher in the forest range Denkankottai, located in the Hosur division, which falls under Zone 1. HEC was higher from November to January in correspondence with the cropping season. Elephants primarily damaged millet (ragi) (Eleusine coracana), with n = 2,182, particularly during November and December, followed by banana (Musa genus) with n = 1,690. The CRM predicts that the southwest and northwest regions of Tamil Nādu had higher conflict risks and area coverage of medium and high conflict risk zones as 17,025 km2 and 3521 km2, respectively. The CRM revealed that the most significant variables in predicting conflict risk are the annual mean temperature, human modification index, and digital elevation model. Areas with higher conflict risk were closer to forest cover, croplands, roads, and water bodies. These regions typically had lower terrain ruggedness, higher human modification, lower temperatures, and dense vegetation. The present study’s findings underscore the need for a comprehensive and multidimensional approach to managing HEC, which is crucial for fostering coexistence between humans and elephants in the region.

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来源期刊
CiteScore
3.40
自引率
5.00%
发文量
68
审稿时长
2 months
期刊介绍: European Journal of Wildlife Research focuses on all aspects of wildlife biology. Main areas are: applied wildlife ecology; diseases affecting wildlife population dynamics, conservation, economy or public health; ecotoxicology; management for conservation, hunting or pest control; population genetics; and the sustainable use of wildlife as a natural resource. Contributions to socio-cultural aspects of human-wildlife relationships and to the history and sociology of hunting will also be considered.
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