Data from: Differential effects of environmental predictability on ungulate movement behavior in disparate ecosystems
Data files
Sep 12, 2025 version files 187 KB
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Homerange_finaldat.RDS
116.62 KB
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LMMCode.R
13.56 KB
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ManuscriptPlotsCode.R
51.54 KB
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Metadata.txt
1.36 KB
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README.md
3.92 KB
Abstract
Increasing ecological perturbations resulting from global change processes are altering the environmental predictability (EP) of critical forage and water resources for wildlife. While research has furthered our understanding of how EP both underlies and directs animal movement, studies have mainly focused on relationships between EP and large-scale movement behaviors at the species level, neglecting the mediating influence that environmental context has on the behavior of wide-ranging species. We address these knowledge gaps by examining how mule deer (Odocoileus hemionus) – a cosmopolitan species of the American Southwest – home range EP relates to average daily movement, focusing on two populations inhabiting disparate ecoregions in Utah, USA. We employed two separate metrics of EP, representing spatial and temporal constancy of vegetation productivity, and explored how home range (HR) area, mean forage availability, and season modulate the relationships between EP and daily relocation distance. We found spatial predictability of an individual’s HR significantly impacted daily movement during the summer and had significant interactions with HR area and forage availability. Interestingly, individuals inhabiting spatially predictable HRs moved more in seasonally resource-limited environments, and less in non-limiting environments. Temporal predictability was a significant predictor of daily movement in non-limiting seasonal environments, resulting in shorter daily movements of deer with temporally predictable HR areas. Results also indicated that as summer HR area increased, the negative impact of predictability on movement grew larger. Finally, we found a significant interaction between spatial and temporal predictability, resulting in shorter daily movement of individuals inhabiting resource-limited HRs that were spatially and temporally predictable. Interactions between HR area, forage availability, and predictability demonstrate how the EP may become a larger driver of movement decisions as habitat quality is reduced. Understanding how EP drives daily movement aids our ability to predict how global change will impact species and anticipate human-wildlife conflict.
Dataset DOI: 10.5061/dryad.gtht76hxg
Description of the data and file structure
This dataset and code are published as a complement to:
M. Standen, M. Ditmer, D. Stoner, K. Hersey, N. Carter (2025)."Differential effects of environmental predictability on ungulate movement behavior in disparate ecosystems" https:doi.org/10.1002/wlb3.01484
The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or U.S. Government determination or policy. Research funding was generously provided by The NASA Biodiversity and Ecological Conservation Program (grant nos. NNX17AG36G and 80NSSC21K1940). Funding for mule deer capture and collars was provided by the Utah Division of Wildlife Resources and its partners, including Mule Deer Foundation, Safari Club International, Sportsmen for Fish and Wildlife, and Utah Archery Association. For animal handling and collaring efforts, we extend special thanks to R. Larsen and B. McMillan from BYU, UDWR biologists D.I. Ewell, J. R. Nicholes, D. W. Rich, C. W. Sampson, D. Smedley, R. Thacker, and A. Vande Voort, and wildlife vets A. Roug and V. Stout.
Files and variables
File: LMMCode.R
Description: This R script contains code necessary to re-run linear mixed models presented in this research.
File: Homerange_finaldat.RDS
Description: This RDS file contains tabular data necessary to re-run linear mixed models supporting this research. This RDS file can be used to run models documented in the associated file LMMCode.R. Please note that this file does not contain raw (i.e., step locations) or derived (i.e., home range boundaries) spatial data.
File: ManuscriptPlotsCode.R
Description: This R script contains code necessary to re-create plots and figures presenting results from linear mixed models.
File: Metadata.txt
Description: This text file contains a description of each variable contained in the associated file Homerange_finaldat.RDS.
Code/software
All data processing for this project was conducted in RStudio. Packages required to run linear mixed models (detailed in LMMCode.R) and generate visualizations of results (detailed in ManuscriptPlotsCode.R) are listed at the top of the provided R scripts. Normalized Difference Vegetation Index data (MOD13Q1.061 product, accessed May 2022) and Normalized Difference Snow Index data (MOD09GA product, accessed June 2025) used to derive home range-level metrics of environmental predictability, forage availability, and snow cover were acquired from Google Earth Engine.
Access information
Other publicly accessible locations of the data:
- Normalized Difference Vegetation Index (NDVI, MOD13Q1.061 product): https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13Q1
- Normalized Difference Snow Index (NDSI, MOD09GA product): https://developers.google.com/earth-engine/datasets/catalog/MODIS_MOD09GA_006_NDSI
Data was derived from the following sources:
- Mule deer individual seasonal home ranges were derived from GPS locations from collared individuals. Mule deer location data were provided under a data sharing agreement with the Utah Division of Wildlife Resources. Mule deer are a protected species under state laws (Utah Code § 23-14-1), and as such, raw location data are considered proprietary and cannot be released without written permission by the UDWR. Inquires and data requests can be addressed to UDWR (https://wildlife.utah.gov/natural-heritage.html).