Many thanks from Snapshot Wisconsin

Today, thank you to everyone who got involved in classifying wildlife photos at snapshotwisconsin.org. Over the past four years, you have helped scientists model the distribution of species, measure the phenology of vegetation, study how deer use habitats to escape extreme temperatures, and more. Below is a partial list of scientific publications to which your work has contributed since 2019.

A curious moose bull is investigating a photo of the following Wisconsin camera near Lake Midi in Wisconsin.

Although his partnership with NASA is coming to an end, Snapshot Wisconsin shows no signs of slowing down! Snapshot Wisconsin volunteers create and monitor trail cameras that take pictures of passing wildlife. With more than 2,000 cameras located and counted, these images contribute to an extensive database that helps the Wisconsin Department of Natural Resources make wildlife management decisions. Volunteers are provided with surveillance cameras and checked every few months. So far, over 63 million photos have been collected! After uploading the images, volunteers join a community from around the world to classify the animals found in the photos. Anyone and anywhere can help classify photos here at Snapshot Wisconsin. Learn more about getting your own tracking camera here: https://dnr.wisconsin.gov/topic/research/projects/snapshot.

Study how deer use habitats to escape extreme temperatures
Gilbert, NA, JL Stenglein, TR Van Deelen, PA Townsend, and B. Zuckerberg. 2022. Behavioral flexibility facilitates the use of spatial and temporal shelters during extreme winter weather. Behavioral Ecology, Arabic154.

As a model for future environmental monitoring
Townsend, PA, JDJ Clare, N. Liu, JL Stenglein, CM Anhalt-Depies, TR Van Deelen, NA Gilbert, A. Singh, KJ Martin and B. Zuckerberg. 2021. Snapshot Wisconsin: Community Network Scientists and Remote Monitoring to Improve Environmental Monitoring and Management. Environmental Applications 31 (8): e02436

Species distribution modeling integrated with existing data streams (hunter harvest records)
Gilbert, NA, BS Pease, CM Anhalt-Depies, JDJ Clare, JL Stenglein, PA Townsend, TR Van Deelen and B. Zuckerberg. 2021. Integration of crop and camera data into species distribution models. Biological conservation 258: 109147.

Measurement of vegetation phenology using “by-catch” data from photographs
Liu, N., M. Garcia, A. Singh, JDJ Clare, JL Stenglein, B. Zuckerberg, EL Kruger, and PA Townsend. 2021 Camera trail networks provide satellite-derived phenology information for environmental research. International Journal of Applied Earth Observations and Geoinformation 97: 102291

Developing the science of estimating abundance using camera trap data
Gilbert, NA, JD Clare, JL Stenglein and B. Zuckerberg. 2021. Estimation of the abundance of unmarked animals based on camera trap data. Conservation Biology 35 (1): 88-100

Assessment of privacy and data management issues for large-scale flows of civil scientific data
Anhalt-Depies, C., JL Stenglein, B. Zuckerberg, PM Townsend, and AR Rissman. 2019. Compromises and tools for data quality, confidentiality, transparency and trust in civil science. Biological conservation 3238: 108195.

Civil research planning
Locke CM, CM Anhalt-Depies, S. Frett, JL Stenglein, S. Cameron, V. Malleshappa, T. Peltier, B. Zuckerberg, and PA Townsend. 2019. Management of a large civil science project for wildlife monitoring. Wildlife Society Bulletin, 43: 4-10.

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