five

Data from: Dress for success: Climate pressures predict fur insulation and body size in natural and reintroduced populations of a threatened marsupial

收藏
DataCite Commons2026-04-22 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.59zw3r2p5
下载链接
链接失效反馈
官方服务:
资源简介:
Phenotypic variation in functional traits underpins responses to environmental gradients, influencing thermoregulation, energy balance, and long-term persistence under climate extremes. Climate change is altering these gradients globally, yet in species that have disappeared from much of their range, adaptive phenotypes may have also been lost, potentially limiting population viability following reintroduction to different climates. The greater bilby (Macrotis lagotis) is a threatened Australian marsupial that has undergone severe range contraction since European settlement and has been the focus of subsequent conservation translocations. To test hypotheses of climate-associated morphological divergence, we quantified spatial variation across its historical distribution and in reintroduced populations in traits that are key determinants of heat exchange and thermal buffering: skull size (as a proxy for body size), ear length, and fur morphology (dorsal and ventral hair length, depth, and width). Data were collected from museum specimens held across nine natural history collections in Australia, the United Kingdom, and the United States, and from live-captured individuals at two conservation reserves in South Australia (Arid Recovery Reserve and Venus Bay Conservation Park). Museum specimen records are accompanied by specimen metadata and CHELSA v2.1 climate variables extracted for each locality (Karger et al., 2017, 2021). The dataset comprises seven CSV files and one R Markdown code file. It is suitable for reuse in studies of ecogeographic variation, intraspecific trait–climate relationships, thermoregulation, and conservation translocation outcomes in mammals. There are no legal or ethical restrictions on reuse; no data on human subjects are included.
提供机构:
Dryad
创建时间:
2026-04-22
二维码
社区交流群
二维码
科研交流群
商业服务