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估算气候避难所中森林蝙蝠的密度及其长期趋势。

Estimating density of forest bats and their long-term trends in a climate refuge.

作者信息

Law Bradley, Brassil Traecey, Proud Roland, Potts Joanne

机构信息

Forest Science Unit NSW Primary Industries Parramatta New South Wales Australia.

Cupar Analytics Ltd Cupar UK.

出版信息

Ecol Evol. 2023 Jun 17;13(6):e10215. doi: 10.1002/ece3.10215. eCollection 2023 Jun.

Abstract

For many species, estimating density is challenging, but it is important for conservation planning and understanding the functional role of species. Bats play key ecological roles, yet little is known about their free-ranging density. We used a long-term banding study of four species caught in an extensively forested climate refuge and spatial capture-recapture models (SCR) to estimate density and its change over time. Between 1999 and 2020, there were 3671 captures of four bat species, which were all edge-space foragers. Recaptures represented 16% ( = 587) of all captures, of which 89 were between-trap-cluster movements. Closed spatial mark-recapture models estimated plausible densities that varied with elevation. Preferred elevations differed between species, with density averaging 0.63 ha for (high elevation), 0.43 ha for (low elevation), 0.19 ha for (high elevation), and 0.08 ha for (high elevation). Overall, densities were higher than most previous published estimates for bats. Forest disturbance history (past timber harvesting) had no detectable effect on density. Density also varied substantially across years, and although annual maximum temperature and rainfall were not supported in models, some time periods showed an apparent relationship between density and annual rainfall (+ve) and/or annual maximum temperature (-ve). The most notable change was an increase in the density of after 2013, which tracked an increase in annual temperature at the site, reflecting a warming climate. Bat densities in forests outside of climate refugia are likely to be more sensitive to climate change, but more studies are needed in different habitats and continents and outside climate refugia to place the densities we estimated into a broader context.

摘要

对于许多物种来说,估计密度具有挑战性,但这对于保护规划和理解物种的功能作用至关重要。蝙蝠发挥着关键的生态作用,然而人们对其自由放养状态下的密度却知之甚少。我们利用对在一个森林茂密的气候避难所捕获的四个物种进行的长期环志研究以及空间捕获 - 重捕模型(SCR)来估计密度及其随时间的变化。在1999年至2020年期间,共捕获了四个蝙蝠物种3671次,这些物种均为边缘空间觅食者。重捕个体占所有捕获个体的16%(=587),其中89次是在诱捕集群之间的移动。封闭空间标记重捕模型估计出了随海拔变化的合理密度。不同物种的偏好海拔不同,[物种名称1](高海拔)的密度平均为0.63只/公顷,[物种名称2](低海拔)为0.43只/公顷,[物种名称3](高海拔)为0.19只/公顷,[物种名称4](高海拔)为0.08只/公顷。总体而言,这些密度高于以往大多数已发表的蝙蝠密度估计值。森林干扰历史(过去的木材采伐)对密度没有可检测到的影响。密度在不同年份也有很大变化,尽管模型中未支持年最高温度和降雨量,但在某些时间段,密度与年降雨量(正相关)和/或年最高温度(负相关)之间存在明显关系。最显著的变化是2013年后[物种名称]的密度增加,这与该地点年温度的升高相吻合,反映了气候变暖。气候避难所以外森林中的蝙蝠密度可能对气候变化更为敏感,但需要在不同栖息地、不同大陆以及气候避难所以外开展更多研究,以便将我们估计的密度置于更广泛的背景中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/10276525/fdef2ebdd3c5/ECE3-13-e10215-g005.jpg

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