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

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 c...

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Bibliographic Details
Main Author: Zhu, Bingrun
Format: Dataset
Language:English
Published: Dryad 2022
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.gqnk98sr3
https://datadryad.org/stash/dataset/doi:10.5061/dryad.gqnk98sr3
Description
Summary: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 ... : 1. Pearson correlation tests for environmental variables All variables for species distribution modelling were loaded to Qgis 3.8. We extracted the values of each variable from 101 occurrence locations (60 bohaii and 41 melanuroides) using the "raster values to points" function in Qgis 3.8. The outcome was saved as a .csv file. Next, the Pearson correlation coefficient was calculated using "tidyverse" package in R. 2. Student t-test for range shift see methods of the paper 3. Comparisons for habitat loss in 2070 see methods of the paper ...