five

VELB watershed data 2005

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.25338%252FB88894
下载链接
链接失效反馈
官方服务:
资源简介:
The Valley Elderberry Longhorn Beetle (“VELB,” Desmocerus californicus dimorphus) is a rare and cryptic species that is found on or near its host plant, blue elderberry (Sambucus mexicana), and is native to California’s Central Valley. Over the past 100 years, the riparian forests of Central California have shrunk by over 90%, resulting in highly fragmented, and often isolated, remaining VELB habitat patches. This has created the need for robust monitoring and demographic data to assess current and future threats to the species. In this study, we investigated VELB population viability and sensitivity to environmental and anthropogenic stochasticity across five major watersheds with known VELB populations. Additionally, we assessed how variability in three management scenarios influenced population persistence and extinction times, specifically the effects of increased habitat loss, more frequent drought and wildfires, and increased juvenile mortality due to invasive predators. We found that across all scenarios, the region-wide metapopulation was more robust to extinction than individual watersheds and that extinction probabilities were lower for larger watersheds than smaller ones. Specifically, we found that modest increases in the annual probability of drought or wildfires and juvenile mortality greatly reduced population persistence at all spatial scales, often leading to rapid watershed-level extinctions, while increases in habitat loss had moderate impacts. Contrary to previous thinking, we also found that increases in dispersal rates among watersheds had negligible effects on improving population viability. Our study highlights the vulnerability of VELB to further environmental and anthropogenic disturbance and emphasizes the importance of maintaining a healthy metapopulation structure with large tracts of suitable habitat for long-term VELB viability.
创建时间:
2020-04-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作