Data from: Short-billed Dowitcher (Limnodromus griseus hendersoni) nesting habitat preferences in Churchill, Manitoba, Canada: Habitat modelling and climate change implications
Data files
Aug 01, 2025 version files 213.32 MB
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biaslayer1.asc
62.46 MB
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DEM.asc
16.18 MB
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ENMeval_biasfile_script.R
2.48 KB
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NDVI.asc
54.42 MB
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README.md
2.31 KB
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SBDO_nest_locations.csv
1.42 KB
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TRI.asc
29.75 MB
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TWI.asc
50.51 MB
Abstract
Climate change poses a threat to subarctic ecosystems and subarctic breeding shorebirds may already be experiencing loss of breeding habitat due to the changing landscape. In this study, we focus on the Short-Billed Dowitcher Limnodromus griseus hendersoni (Rowan, 1932), a species of shorebird that breeds in the subarctic tundra of Canada, around Churchill, Manitoba. We use Maxent, a presence-only species distribution model, to identify its breeding habitat preferences and visualize its distribution. We also estimate the impact of climate change on its breeding habitat distribution. At a local scale, nest sites were mostly predicted by vegetation structure, suggesting that this parameter is associated with nesting requirements. A regional scale analysis highlighted that terrain roughness and elevation are associated with breeding habitat requirements of the species as well as climatic conditions throughout the year. Different climate change scenarios predicted significant modification in potential breeding habitat. Modelling was based on a relatively small number of observations because Short-billed Dowitcher nests are both uncommon on the landscape and highly cryptic. Thus, our findings should be interpreted with caution. Nonetheless, this study provides valuable insights into the breeding biology of a poorly studied shorebird species at one of their few monitored breeding sites.
Dataset DOI: 10.5061/dryad.k98sf7mjt
Description of the data and file structure
Data were collected through intensive nest surveys conducted from 2021 to 2023 near Churchill, Manitoba, Canada, to identify nesting habitat preferences of the Short-Billed Dowitcher, a subarctic breeding shorebird. Presence data were then used with remote sensing terrain data in a species distribution model (Maxent) to assess and visualize suitable nesting habitat in the region.
Files and variables
File: SBDO_nest_locations.csv
Description: Short-billed Dowitcher nest locations near Churchill, Manitoba, Canada, from 2021 to 2023.
Variables
- species: Short-billed Dowitcher
- long: longitude (meters)
- lat: latitude (meters)
Coordinate reference system : UTM Zone 15N (EPSG:32615)
File: DEM.asc
Description: Digital Elevation Model (meters)
File: NDVI.asc
Description: Normalized Difference Vegetation Index
File: TRI.asc
Description: Topographic Roughness Index
File: TWI.asc
Description: Topographic Wetness Index
File: ENMeval_biasfile_script.R
Description: R script to determine which settings to use on Maxent and create the bias file.
File: biaslayer1.asc
Description: Bias file
Code/software
R Core Team. (2021). R: A Language and Environment for Statistical Computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
RStudio Team. (2021). RStudio: Integrated Development Environment for R [Computer software]. RStudio, PBC. http://www.rstudio.com/
QGIS Development Team. (2022). QGIS Geographic Information System (Version 3.24.1) [Computer software]. QGIS Association. http://qgis.org
Phillips, S. J., Dudík, M., & Schapire, R. E. (2006). *Maxent software for modeling species niches and distributions *(Version 3.4.1) [Computer software]. http://biodiversityinformatics.amnh.org/open_source/maxent/
