当前位置: X-MOL 学术Glob. Ecol. Biogeogr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Combining financial costs and statistical power to optimize monitoring to detect recoveries of species after megafire
Global Ecology and Biogeography ( IF 6.4 ) Pub Date : 2022-06-29 , DOI: 10.1111/geb.13554
Adam Smart 1, 2 , Darren Southwell 1, 2 , William Geary 3 , Anne Buchan 3 , Brendan Wintle 1, 2
Affiliation  

Megafire plays a crucial role in driving the distribution of biodiversity around the world. Long-term monitoring is vital for understanding how species are impacted immediately by megafire and subsequently respond over time. However, monitoring should be designed with sufficient statistical power to detect impact and recovery. In this study, we developed a simulation framework for optimizing the design of biodiversity monitoring programmes to detect population recoveries after megafire.

中文翻译:

结合财务成本和统计能力,优化监测,以检测大火后物种的恢复情况

Megafire 在推动全球生物多样性分布方面发挥着至关重要的作用。长期监测对于了解物种如何立即受到特大火灾的影响并随后随着时间的推移做出反应至关重要。然而,监测应具有足够的统计能力来检测影响和恢复。在这项研究中,我们开发了一个模拟框架,用于优化生物多样性监测计划的设计,以检测特大火灾后的人口恢复情况。
更新日期:2022-06-29
down
wechat
bug