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相机还是?比较雪地追踪调查和相机陷阱以估计未标记野生动物种群的密度。

Cameras or ? Comparing Snow Track Surveys and Camera Traps to Estimate Densities of Unmarked Wildlife Populations.

作者信息

Waller Scott J, Hebblewhite Mark, Brodie Jedediah F, Soutyrina Svetlana V, Miquelle Dale G

机构信息

Wildlife Conservation Society New York New York USA.

Wildlife Biology Program University of Montana Missoula Montana USA.

出版信息

Ecol Evol. 2024 Dec 23;14(12):e70747. doi: 10.1002/ece3.70747. eCollection 2024 Dec.

Abstract

Population density is a valuable metric used to manage wildlife populations. In the Russian Far East, managers use the Formozov- Malyushev-Pereleshin (FMP) snow tracking method to estimate densities of ungulates for hunting management. The FMP also informs Amur tiger () conservation since estimates of prey density and biomass help inform conservation interventions. Yet, climate change and challenges with survey design call into question the reliability of the FMP. Camera traps offer a promising alternative, but they remain unexplored for monitoring tiger prey density. Over three years (2020-2022), we used the FMP and camera-based methods to estimate densities of four prey species of the Amur tiger in the Sikhote- Alin Biosphere Reserve, Russian Far East: wild boar (), red deer (), roe deer (), and sika deer (). We compared FMP results from snow track survey routes either along trails, or along routes representative of the study area, and estimates derived from camera data using the random encounter model (REM), space-to-event model (STE), and time-to-event model (TTE). We found that density estimates from representative routes were typically lower than routes along trails and indicated different relative densities of prey. Density estimates from camera traps and representative track surveys were generally similar with no significant relative bias, but precision was poor for all methods. Differences between estimates were amplified when converted to prey biomass, particularly with larger, more abundant prey, which poses a challenge for their utility for tiger managers. We conclude camera traps can offer an alternative to snow track surveys when monitoring unmarked prey, but we caution that they require considerably more resources to implement. Tiger managers should be especially cautious when extrapolating density to estimates of prey biomass, and we encourage future research to develop more robust methods for doing so.

摘要

种群密度是用于管理野生动物种群的一项重要指标。在俄罗斯远东地区,管理人员采用福尔莫佐夫 - 马柳舍夫 - 佩列列申(FMP)雪迹追踪法来估算有蹄类动物的密度,以用于狩猎管理。由于猎物密度和生物量的估算有助于为保护干预措施提供依据,所以FMP法也为东北虎()的保护工作提供了信息。然而,气候变化以及调查设计方面的挑战让人对FMP法的可靠性产生了质疑。相机陷阱提供了一种很有前景的替代方法,但尚未被用于监测老虎猎物密度。在三年时间(2020 - 2022年)里,我们运用FMP法和基于相机的方法,对俄罗斯远东地区锡霍特 - 阿林生物圈保护区内东北虎的四种猎物物种的密度进行了估算:野猪()、马鹿()、狍子()和梅花鹿()。我们比较了沿小径的雪迹调查路线以及代表研究区域的路线所得到的FMP结果,以及使用随机相遇模型(REM)、空间到事件模型(STE)和时间到事件模型(TTE)从相机数据得出的估算值。我们发现,来自代表路线的密度估算值通常低于沿小径的路线,并且显示出猎物的不同相对密度。相机陷阱和代表性轨迹调查的密度估算值总体相似,没有显著的相对偏差,但所有方法的精度都很差。当转换为猎物生物量时,估算值之间的差异会被放大,尤其是对于体型更大、数量更多的猎物,这给老虎管理人员使用这些数据带来了挑战。我们得出结论,在监测无标记猎物时,相机陷阱可以作为雪迹调查的一种替代方法,但我们提醒,实施相机陷阱需要更多的资源。老虎管理人员在将密度外推到猎物生物量估算时应格外谨慎,我们鼓励未来的研究开发更可靠的方法来进行此类估算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1c2/11664323/82ac50fefaa8/ECE3-14-e70747-g004.jpg

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