Automated Author Profile

Berger, Joel

Colorado State University

Current S-Index

4.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.1

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

82.7%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: The influence of human presence and footprint on animal space use in US national parks (Version: 1.0)

<b>Abstract</b><br/><p>Given the importance of protected areas for biodiversity, the growth of visitation to many areas has raised concerns about the effects of humans on wildlife. In 2020, the COVID-19 pandemic led to temporary closure of national parks in the United States, offering a pseudonatural experiment to tease apart the effects of permanent infrastructure and transient human presence on animals. We compiled GPS tracking data from 229 individuals of 10 mammal species in 14 parks, and used third-order hierarchical Resource Selection Functions to evaluate the influence of the human footprint on animal space use in 2019 and 2020. Averaged across all parks and species, animals avoided the human footprint, whether the park was open or closed. However, while animals in remote areas showed consistent avoidance, on average those in more developed areas switched from avoidance to selection when protected areas were closed. Findings varied across species: some responded consistently negatively to the footprint (wolves, mountain goats), some positively (mule deer, red fox), and others had a strong exposure-mediated response (elk, mountain lion). Furthermore, some species responded more strongly to the park closure (black bear, moose). This study advances our understanding of complex interactions between recreation and wildlife in protected areas.</p><p>While we do not share raw location data due to the sensitivity of animal locations, we provide complete information on the format of data files, intermediate data products, and the scripts necessary to reproduce analyses.</p>

Authors

  • Gaynor, Kaitlyn M. ;
  • Hayes, Forest P. ;
  • Manlove, Kezia ;
  • Galloway, Nathan ;
  • Benson, John F. ;
  • Cherry, Michael ;
  • Epps, Clinton W. ;
  • Fletcher Jr., Robert J. ;
  • Orrock, John ;
  • Smith, Justine A. ;
  • Aiello, Christina ;
  • Belant, Jerrod L. ;
  • Berger, Joel ;
  • Biel, Mark ;
  • Bright, Jill ;
  • Bump, Joseph ;
  • Burchett, Michael ;
  • Butler, Carson ;
  • Carlson, Jennifer ;
  • Cole, Eric K. ;
  • Darby, Neal ;
  • DuGutis, Erin ;
  • Dewey, Sarah ;
  • Figura, Pete ;
  • Gable, Tom ;
  • Gagnon, Jeff ;
  • Glass, Danielle M. ;
  • Green, Jennifer R. ;
  • Gunther, Kerry ;
  • Haroldson, Mark ;
  • Hersey, Kent ;
  • Holton, Brandon ;
  • Homkes, Austin ;
  • Hoy, Sarah R. ;
  • Hughson, Debra ;
  • Joly, Kyle ;
  • Leahy, Ryan ;
  • Lee-Roney, Caitlin ;
  • Lester, Rob ;
  • MacNulty, Dan ;
  • Magnuson, Michael ;
  • Martin, Daniel ;
  • Mazur, Rachel ;
  • Moore, Seth ;
  • Orning, Elizabeth K. ;
  • Patrick, Katie ;
  • Peterson, Rolf O. ;
  • Potvin, Lynette ;
  • Prentice, Paige R. ;
  • Riley, Seth P.D. ;
  • Romanski, Mark ;
  • Roug, Annette ;
  • Sikich, Jeff A. ;
  • Simpson, Nova ;
  • Sloan, William ;
  • Smith, Douglas W. ;
  • Sorum, Mathew ;
  • Sprague, Scott ;
  • Stahler, Daniel ;
  • Stephenson, John ;
  • Stephenson, Thomas R. ;
  • Stroud-Settles, Janice ;
  • van Manen, Frank ;
  • Vucetich, John A. ;
  • Wilmot, Kate ;
  • Windels, Steve ;
  • Wolf, Tiffany ;
  • Cross, Paul
1 Citation0 Mentions88% FAIR2.2 Dataset Index
10.5683/sp3/dlq7nz2025

Mountain goat molt from community photographs (Version: 3)

Participatory approaches, such as community photography, can engage the public in questions of societal and scientific interest while helping advance understanding of ecological patterns and processes. We combined data extracted from community-sourced, spatially-explicit photographs with research findings from 2018 fieldwork in the Yukon, Canada, to evaluate winter coat molt patterns and phenology in mountain goats (Oreamnos americanus), a cold-adapted, alpine mammal. Leveraging the community science portals iNaturalist and CitSci, in less than a year we amassed a database of almost seven hundred unique photographs spanning some 4500 kms between latitudes 37.6°N and 61.1°N from 0m to 4333m elevation. Using statistical methods accounting for incomplete data, a common issue in community science data sets, we identified the effects of intrinsic (sex and presence of offspring) and broad environmental (latitude and elevation) factors on molt onset and rate and compared our findings with published data. Shedding occurred over a 3-month period between May 29 and September 6. Effects of sex and offspring on the timing of molt were consistent between the community-sourced and our Yukon data and with findings on wild mountain goats at a long-term research site in west-central Alberta, Canada. Males molted first, followed by females without offspring (4.4 days later in the coarse-grained, geographically-wide community science sample; 29.2 days later in our fine-grained Yukon sample) and lastly females with new kids (6.2; 21.2 days later, respectively). Shedding was later at higher elevations and faster at northern latitudes. Our findings establish a basis for employing community photography to examine broad-scale questions about the timing of ecological events, as well as sex differences in response to possible climate drivers. In addition, community photography can help inspire public participation in environmental and outdoor activities specifically with reference to iconic wildlife.

Authors

  • Nowak, Katarzyna ;
  • Richards, Shane ;
  • Berger, Joel ;
  • Panikowski, Amy ;
  • Jacob, Aerin ;
  • Reid, Donald ;
  • Newman, Greg ;
  • Young, Nicholas ;
  • Beckmann, Jon
2 Citations0 Mentions77% FAIR2.3 Dataset Index
10.5061/dryad.8w9ghx3k32020