使用非结构化众包数据来评估加利福尼亚超大城市内陆原生动物物种的城市容忍度
Joseph N Curti1, Michelle Barton2, Rhay G Flores1
1Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, United States of America.
PloS one
|May 29, 2024
概括
城市野生动物管理需要更好的工具. 研究人员使用iNaturalist数据开发了一个城市协会指数 (UAI) 来追踪洛杉矶的本地物种,揭示了不同动物群体的不同耐受程度.
科学领域:
- 城市生态城市生态学
- 保护生物学 保护生物学
- 生物多样性监测 生物多样性监测
背景情况:
- 城市化导致生物多样性丧失和社区同质化.
- 人们越来越需要保护和增加城市地区的生物多样性.
- 追踪城市不耐受和城市耐受物种对于管理至关重要,但缺乏工具.
研究的目的:
- 开发和应用一个新的框架来评估城市生物多样性和物种耐受性.
- 为洛杉矶的本地动物物种创建一个城市协会索引 (UAI).
- 评估不同分类群体的城市容忍的空间模式.
主要方法:
- 利用iNaturalist的967种本地动物物种的发生数据来计算UAI.
- 评估了洛杉矶的8348个电网电池,以确定社区城市容忍指数 (CUTI) 的得分.
- 与城市强度指标相关联的UAI和CUTI.
主要成果:
- 大多数本地物种与城市强度有负面关联,除了牛和牛.
- 城市密度较高的地区支持更多的城市耐受性物种.
- 分类学群体表现出不同的总体容忍水平和空间模式.
结论:
- UAI和CUTI框架为城市生物多样性管理提供了有价值的工具.
- 这种方法可以追踪城市生物多样性倡议的有效性.
- 该框架可扩展到全球不同地区和城市.
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