Differences in mammal community response to highway construction across different levels of human land use
Data files
Feb 21, 2025 version files 49.74 MB
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CTtable.xlsx
14.19 KB
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DataOrganize_ConEarly.txt
14.25 MB
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DataOrganize_PreCon.txt
35.47 MB
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EnvData.xlsx
9.88 KB
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README.md
4.44 KB
Abstract
Worldwide, transportation agencies have been involved in road mitigation efforts to reduce road mortality and promote connectivity of endangered species. Baseline data on how mammals respond to highway construction, however, is rarely collected in road mitigation and monitoring studies, including in the United States. Our goal in this study was to assess differences in the response of the mammal community to highway construction along a gradient of human land use (HLU) from July 2019 to November 2020 in southern Texas, United States. We compared the species composition of the terrestrial mammal community at five sites along a highway before and during highway construction and assessed diel activity for seven species at different HLU levels between these two time periods. We found that mammal community composition was lower during the construction period at each HLU level. There were greater differences in the composition of the mammal community in the pre-construction and construction periods as HLU decreased. Community diversity was greatest in areas with a low level of HLU, followed by areas of medium and high levels, with more carnivores, large ungulates, and rodents at medium and low HLU sites. For many species, diel activity patterns across all sites during the construction period reflected activity patterns in areas of higher HLU during the pre-construction period. Our study shows that community composition and behavior (diel activity) are likely to change in response to highway construction regardless of the degree of HLU. These results may influence how scientists and transportation agencies consider potential impacts on wildlife species during road construction and affect their attempt to mitigate these impacts.
https://doi.org/10.5061/dryad.18931zd78
Description of the data and file structure
This README.txt file was generated on 2023-01-10 by Thomas J. Yamashita
GENERAL INFORMATION
1. Title of Dataset: Differences in mammal community response to highway construction across different levels of human land use
This data is associated with the manuscript, titled Differences in mammal community response to highway construction across different levels of human land use
2. Author Information
Thomas J. Yamashita
Caesar Kleberg Wildlife Research Institute, Texas A&M University - Kingsville
tjyamashta@gmail.com
Shared first authorship
Corresponding Author
Jason V. Lombardi
Caesar Kleberg Wildlife Research Institute, Texas A&M University - Kingsville
Shared first authorship
Zachary M. Wardle
Caesar Kleberg Wildlife Research Institute, Texas A&M University - Kingsville
Michael E. Tewes
Caesar Kleberg Wildlife Research Institute, Texas A&M University - Kingsville
John H. Young Jr.
Environmental Affairs Division, Texas Department of Transportation
3. Date of Data Collection:
Camera Data: July 2019 - November 2020
4. Geographic location of data collection: Eastern Cameron County, Texas, USA along Farm-to-Market 1847
5. Funding Sources: Texas Department of Transportation
Files and variables
File: CTtable.xlsx
Description: CT Table describing active and total camera trap nights for the pre-construction and construction periods
Variables
- Camera: Camera Name
- Site: Location and side of highway of camera
- Station: Location of camera
- timeperiod: Pre-construction (1) or construction (2) period
- Setup_date: Date camera was set up
- Retrieval_date: Date camera was retrieved
- ProblemX_from: (multiple columns): Start date that a camera was inactive. X starts at 1 and increases by 1. Higher numbers indicate that a camera had more problems
- ProblemX_to: (multiple columns): End date that a camera was inactive. Just like above, X starts at 1 and increases by 1 as a camera has more problems
Note: Empty cells in the ProblemX_from and ProblemX_to columns indicate that there was no camera issues or no additional camera issues. These are left empty to function properly with camtrapR's cameraOperation function.
File: EnvData.xlsx
Description: File containing information about which crossings, the side of the highway and the level of urbanization for each camera
Variables
- Camera: Camera name
- Site: Location and side of highway of camera
- Station: Location of camera
- Urbanization: The urbanization level of the camera (urban, peri-urban, and rural). Details are described in the text
File: DataOrganize_ConEarly.txt
Description: DataOrganize text file containing camera name, species name, year, month, day, hour, minute, second, and number of individuals in the photograph for the construction period (February 2020 - November 2020)
Variables
- Column 1: Camera name
- Column 2: Species in photograph
- Column 3: Year photograph was taken
- Column 4: Month photograph was taken
- Column 5: Day photograph was taken
- Column 6: Hour photograph was taken
- Column 7: Minute photograph was taken
- Column 8: Second photograph was taken
- Column 9: Number of individuals of the given species in the photograph
File: DataOrganize_PreCon.txt
Description: DataOrganize text file containing camera name, species name, year, month, day, hour, minute, second, and number of individuals in the photograph for the pre-construction period July 2019 - February 2020)
Variables
- Column 1: Camera name
- Column 2: Species in photograph
- Column 3: Year photograph was taken
- Column 4: Month photograph was taken
- Column 5: Day photograph was taken
- Column 6: Hour photograph was taken
- Column 7: Minute photograph was taken
- Column 8: Second photograph was taken
- Column 9: Number of individuals of the given species in the photograph
Code/software
R
Access information
Other publicly accessible locations of the data:
Data was derived from the following sources:
- N/A
Camera trapping; R; Primer
