An experimental test of community-based strategies for mitigating human-wildlife conflict around protected areas

An experimental test of community-based strategies for mitigating human-wildlife conflict around protected areas
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DOI:
10.1111/conl.12679
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发表时间:
2019-10-16
影响因子:
8.5
通讯作者:
Long, Ryan A.
Long, Ryan A.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Branco, Paola S.;Merkle, Jerod A.;Long, Ryan A.

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自然栖息地正在迅速转变为耕地,野生动物掠夺作物威胁到全世界野生动物保护和人类生计。我们将GPS项圈大象的运动数据与相机陷阱数据和当地报告系统相结合,采用前后控制影响设计,以评估基于社区的策略,以减少莫桑比克戈龙戈萨国家公园外的作物掠夺。所有类型的实验围栏测试(蜂窝,辣椒,蜂窝和辣椒相结合,程序控制)显着减少了大象离开公园抢劫作物的次数。然而,在关键过境点的一部分放置蜂巢围栏,相对于没有围栏的过境点,大象离开公园的几率降低了95%,这是最有效的策略。蜂巢围栏还通过蜂蜜生产创造了创收机会。我们的研究结果提供了实验证据,表明与当地社区合作,改变动物行为和人类态度,可以减轻人类与野生动物之间的冲突。
Natural habitats are rapidly being converted to cultivated croplands, and crop-raiding by wildlife threatens both wildlife conservation and human livelihoods worldwide. We combined movement data from GPS-collared elephants with camera-trap data and local reporting systems in a before-after-control-impact design to evaluate community-based strategies for reducing crop raiding outside Mozambique's Gorongosa National Park. All types of experimental fences tested (beehive, chili, beehive and chili combined, and procedural controls) significantly reduced the number of times elephants left the Park to raid crops. However, placing beehive fences at a subset of key crossing locations reduced the odds that elephants would leave the Park by up to 95% relative to unfenced crossings, and was the most effective strategy. Beehive fences also created opportunities for income generation via honey production. Our results provide experimental evidence that working with local communities to modify both animal behavior and human attitudes can mitigate conflict at the human-wildlife interface.