农民态度和人类与野生动物冲突的区域风险模型在农田毗邻的博兰德山复杂,南非

W. Nieman, A. Wilkinson, A. Leslie
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引用次数: 8

摘要

未受保护地区的人与野生动物冲突,特别是与保护区接壤的地区,导致了全球野生动物的栖息地范围和种群规模的减少。与此同时,处于人类发展和自然栖息地交界处的农村社区和商业农田面临着对其生计和农业安全的严重威胁,往往导致实际或感知的造成损害的动物(DCA)被彻底根除。当地人的知识被用来阐明动态和交织的社会、经济和生态因素,这些因素导致了南非博兰山综合体附近的土地所有者和野生动物之间基本上没有记录的冲突。随后,使用最大熵算法预测和绘制了区域层面上观察到的和预期的物种特定风险区域的空间位置。农民对灵长类动物和有蹄类动物的耐受性最高,而对食肉动物、鸟类和入侵或野生物种的耐受性相对较低。这份手稿中提出的结果将使地点和物种的优先顺序能够制定改进的缓解和管理计划。它还将提供更准确的保护资源分配,以最大限度地减少冲突,优化农业产量,减少野生动物的数量,并最终改善人类与野生动物的冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Farmer Attitudes and Regional Risk Modelling of Human–Wildlife Conflict on Farmlands Bordering the Boland Mountain Complex, South Africa
Human–wildlife conflict in unprotected areas, especially those bordering reserves, has resulted in the global home range and population size reduction of naturally occurring wildlife. Simultaneously, rural communities and commercial farmlands at the interface of human development and natural habitat face severe threats to their livelihoods and agricultural security, often resulting in the vast eradication of real or perceived damage-causing animals (DCAs). The knowledge of local people was relied on to elucidate the dynamic and interwoven social, economic and ecological factors giving rise to the largely undocumented conflict between landowners and wildlife adjacent to the Boland Mountain Complex, South Africa. Subsequently, the spatial location of observed and expected zones of species-specific risk on a regional level was anticipated and mapped using a maximum entropy algorithm. The highest level of tolerance by farmers was shown for primates and ungulates, while tolerance for carnivores, avifauna and invasive or feral species were comparatively lower. The results presented in this manuscript will enable the prioritization of locations and species to create improved mitigation and management plans. It will furthermore provide for more accurate allocation of conservation resources to minimize conflicts, optimize agricultural yield, reduce wildlife off-take, and ultimately ameliorate human–wildlife conflict.
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