遇见数据集

Artificial selection in human-wildlife feeding interactions

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DataONE2022-06-29 更新2025-05-31 收录
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The artificial selection of traits in wildlife populations through hunting and fishing has been well documented. However, despite their rising popularity, the role that artificial selection may play in non-extractive wildlife activities, e.g., recreational feeding activities, remains unknown. If only a subset of a population takes advantage of human-wildlife feeding interactions, and if this results in different fitness advantages for these individuals, then artificial selection may be at work. We have tested this hypothesis using a wild fallow deer population living at the edge of a capital city as our model population. In contrast to previous assumptions on the randomness of human-wildlife feeding interactions, we found that a limited non-random portion of an entire population is continuously engaging with people. We found that the willingness to beg for food from humans exists on a continuum of inter-individual repeatable behaviour; which ranges from risk-taking individuals repeatedl...

通过狩猎与捕捞对野生动物种群的性状进行人工选择,这一现象已有充分的文献记载。然而,尽管非消耗性野生动物活动(如休闲投喂活动)的普及度日益提升,人工选择在这类活动中可能发挥的作用仍未明确。若种群中仅有部分个体能够利用人-野生动物投喂互动行为,且该行为会为这些个体带来差异化的适合度(fitness)优势,那么人工选择或已在发挥作用。我们以栖息于首都城市周边的野生黇鹿(fallow deer)种群作为模式种群,对这一假说进行了验证。与此前关于人-野生动物投喂互动具有随机性的假设相悖,我们发现整个种群中仅有有限的非随机亚群会持续与人类互动。我们发现,向人类乞食的意愿存在于个体间可重复的行为连续谱中,其范围涵盖了反复进行风险行为的个体……

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2025-05-19
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