Published June 16, 2022 | Version v1
Other Open

Pearson correlation tests for environmental variables, Student t-test for range shift and comparisons for habitat loss in 2070

  • 1. University of Groningen

Description

Habitat loss and shifts associated with climate change threaten global biodiversity, with impacts likely to be most pronounced at high latitudes. With the disappearance of the tundra breeding habitats, migratory shorebirds that breed at these high latitudes are likely to be even more vulnerable to climate change than those in temperate regions. We examined this idea using new distributional information on two subspecies of Black-tailed Godwits Limosa limosa in Asia: the northerly, bog-breeding L. l. bohaii and the more southerly, steppe-breeding L. l. melanuroides. Based on breeding locations of tagged and molecularly assayed birds, we modelled the current breeding distributions of the two subspecies with species distribution models, tested those models for robustness, and then used them to predict climatically suitable breeding ranges in 2070 according to bioclimatic variables and different climate change scenarios. Our models were robust and showed that climate change is expected to push bohaii into the northern rim of the Eurasian continent. Melanuroides is also expected to shift northward, stopping in the Yablonovyy and Stanovoy Ranges, and breeding elevation is expected to increase. Climatically suitable breeding habitat ranges would shrink to 16% and 11% of the currently estimated ranges of bohaii and melanuroides, respectively. Overall, this study provides the first predictions for the future distributions of two little-known Black-tailed Godwit subspecies and highlights the importance of factoring in shifts in bird distribution when designing climate-proof conservation strategies.

Notes

Funding provided by: International Wetlands and River Beijing*
Crossref Funder Registry ID:
Award Number:

Files

9.FigS1_Zhu_et_al_GCB.tiff

Files (21.3 MB)

Name Size Download all
md5:4265bbb96caff7550a6b6ef9d5de16c7
14.8 kB Download
md5:7707882fe16f0e470de7fed85f5aa913
14.8 kB Download
md5:32ffac29f1e27f098e63de16325177ef
19.0 kB Download
md5:f008f4e3b3587313e70e16f70a23db91
13.8 kB Download
md5:6f69e0344c6efedcbfb561dc3a893035
21.3 MB Preview Download

Additional details

Related works

Is derived from
10.5061/dryad.gqnk98sr3 (DOI)