Mule deer crossing river

WyldTech

From bees to bison, animals must move across complex landscapes to survive. Such movement can happen in the course of a day on a single plant or in response to seasons for continental-scale migrations. Regardless of scale, how internal cues, other animals, and landscape characteristics like temperature, water, and food mediate movement is largely unknown for most animals. WyldTech harnesses new technology and high performance computing, while capitalizing on ongoing projects and existing data, to characterize landscapes and track animals across scales to facilitate human-animal coexistence in a changing world. The overall research question motivating the Center is:  

How can new approaches to animal bio-logging, environmental informatics, and computational workflows advance the management and conservation of Wyoming’s diverse wildlife?  

 

Join our list-serv

k

VISION

 

Our vision is to leverage new technologies, big data, and computational advances to understand and conserve Wyoming's wildlife on working and changing landscapes.

To achieve our vision, we build inclusive spaces supporting productive interdisciplinary collaborations that advance the frontiers of knowledge, provide management guidance for human wildlife coexistence, and yield products useful to the state of Wyoming and beyond.

 

WyldTech Supports

Work that goes beyond incremental advances, aiming to transform our fundamental understanding, truly extending the boundaries of what we know and what we are able to do.
The most rewarding and productive collaborations are built on mutual interest and benefit in a shared intellectual space. Productive collaborations are not built on one person using another’s skill sets to advance their own work.
At all levels, from individual research groups to cross-campus interactions to government, public, and private partnerships, policies and practices will ensure all are welcome to engage.

WYLDTECH SEED GRANTS

 

We are excited to announce the availability of seed grants to support new projects in association with the WyldTech Center for Technology, Computing, and Wildlife.

Two seed projects that will initialize the WyldTech Center demonstrate cross-discipline synergies that will be the hallmark of the Center. Across animals spanning six orders of magnitude in size (3-g bees to 3,000,000-g bison), all organisms must move to find resources (food, habitats) so they can thrive. Despite obvious differences in their ecologies, all animals are exposed to fractal-like distributions of resources–self-similarity in the distribution of food and habitat in space and time–regardless of whether such resources are individual flowers, basking sites, rodents to eat, or refuge from the snow. Such self-similarity hints at general principles for animal ecology, a field that has been bogged down by idiosyncrasy and special cases for over a century, and for which methodologies have been outpaced by ideas. We believe that major innovations in the acquisition and analysis of remotely-sensed imagery and related big data combined with advances in high performance computing will reveal general principles regarding how animals move across landscapes from a few meters to thousands of kilometers. In tandem, the two initial foci outlined below will provide a framework for predicting the abundance and distribution of wild animals in working landscapes

 

View RFP and apply here

Eligibility is limited to WyldTech affiliates (apply to be a WyldTech affiliate here).

Proposals due: June 15, 2024


OUTCOMES & ACCOMPLISHMENTS

 

WyldTech affiliates have published 7 peer-reviewed manuscripts related to the Center’s mission in 2024, are affiliated with over $24 million in funded grants (primarily external) and have additional pending grant submissions with a total value of over $24 million. Beyond the steering committee and other affiliates (23 PIs total), the Center has engaged a research scientist, two postdocs, 6 graduate students and 5  undergraduate students directly in ongoing projects. To broaden impact, the Center and its affiliates have supported 4 major statewide outreach and engagement projects and WyldTech recently invested $50,000 in 4 new projects seeding work in alignment with the vision, engaging PIs from 5 UW units in 4 colleges.

  1. Romero-Báez, Ó., Murphy, M.A., Díaz de la Vega-Pérez, A., Vázquez-Domínguez E. In press (accepted June 28, 2024). Environmental and anthropogenic factors mediating the functional connectivity of the mesquite lizard along the eastern Trans-Mexican Volcanic Belt. Molecular Ecology.
  2. Verble, K.M., Keaveny, E.C., Rahman, S.R., Jenny, M.J., Dillon, M.E., Lozier, J.D., 2024. A rapid return to normal: temporal gene expression patterns following cold exposure in the bumble bee Bombus impatiens. Journal of Experimental Biology 227, jeb247040.
  3. Ortega, A.C., J.A. Merkle, H. Sawyer, K.L. Monteith, P. Lionberger, M. Valdez, and M.J. Kauffman. 2024. A test of the frost wave hypothesis in a temperate ungulate. Ecology 105: e4238.
  4. Thomas, A., Kolb, T., Biederman, J. A., Venturas, M. D., Ma, Q., Yang, D., ... & Tai, X. (2024). Mitigating drought mortality by incorporating topography into variable forest thinning strategies. Environmental Research Letters, 19(3), 034035.
  5. H. Shi, Y. Zhang, G. Cao and Yang D. (2024) Fortifying Centers and Edges: Multidomain Feature Learning Meets Hyperspectral Image Classification, in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024, Art no. 5513516.
  6. Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., ... & Hohl, A. (2024). Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing, 4, 0105.
  7. Brunet, M.J., K.S. Huggler, J.D. Holbrook, P. W. Burke, M. Zornes, P. Lionberger, and K.L. Monteith. 2024. Spatial prey availability and pulsed reproductive tactics: Encounter risk in a canid-ungulate system. The Journal of Animal Ecology. 10.1111/1365-2656.14056.
  • 2024. Building A Wyoming Citizen Science Data Clearinghouse for Community. Yang D, Xu C, Gong J, Liang Y. University of Wyoming. $25,000
  • 2024. Quantifying effects of land cover change-climate interaction on ecosystem productivity over Western North America. He Y, Yang D, NASA, $93,548 total, University of Wyoming, $34,276.
  • 2024. Technology in eDNA sampling for biodiversity monitoring. Murphy, M. AES Capacity funding. $10,000.
  • 2024—2025. Beavers as biodiversity buffers: How ecosystem engineering impacts wetland-dependent species. Davis K, Murphy M. Meg and Bert Raynes Fund. $5,000.
  • 2024—2025. Ecological Effects of BDAs at Red Canyon Ranch Research. Murphy M. TNC-Wyoming. $51,653
  • 2024—2026. Does ecosystem engineering by beaver increase distribution, abundance and connectivity of biodiversity in the Greater Yellowstone Area? Murphy M (PI), Davis K (FI). NASA FINESST. $150,000.
  • 2024—2027. Evaluating long-term impacts of land-use transformation on fire regimes: A comprehensive 60-year analysis utilizing CORONA, GEDI, and GLOBE observer over western U.S. Forest. Yang D. NASA Early-Career. $299,604
  • 2024—2027. Do intact migration corridors enable climate resilience? - Evaluating corridor conservation as a drought resilience strategy for mule deer across a gradient in anthropogenic development. M.J. Kauffman and E.O. Aikens. USGS. $397,885
  • 2024—2028. Enhancing Wyoming Toad recovery by testing and implementing a two-pronged Bd mitigation program. Murphy M, Baughman J. USFWS Recovery Challenge. Total budget ~$1.2 million ($596,033.46, $606,941.55 non-federal match).
  • 2024—2029. CUNY-GLOBE Partnership. Roger R, Low R; Yang D as senior personnel of the science team. NASA. Total budget: $22 million.

$50,000 total, 5 departments/units from 4 colleges: SoC, CALSNR, Haub, CEPS

  • Merging edge computing and biologging to classify foraging behaviors in wild raptors. Ellen Aikens, Jian Gong, Bryan Bedrosian, Zach Bordner, Iqbal Hossian
  • Autonomous wide area wildlife searching and tracking using drones fleet – An AI-powered algorithm optimized for energy and unreliable communication. Zejian Zhou
  • Can weapons provide multiple defenses? Thermal benefits of sexual traits. Rebecca Levine and Kevin Monteith
  • Using cloud-based infrastructure for data-driven decision-making: initial implementation with a winter severity app. Jerod Merkle and Shannon Albeke
  • Bee the Scientist (led by SI WyldTech graduate fellow, Sabrina White). This initiative in collaboration with the SI Science Roadshow is engaging older members of Wyoming communities in learning about pollinators, the threats facing them, and the personal actions they can take to help. A secondary goal is to expose older adults to new technology in a comfortable environment to improve digital literacy. So far, we’ve had 64 participants in workshops events in Sheridan, Pine Bluffs, Shoshoni, Riverton, and Rock Springs, with events planned in Worland (July 24) and Pinedale (September 18).
  • NASA DEVELOP (led by Di Yang and Austin Madson from WyGISC). The Pop-Up Project location hosted by the University of Wyoming in Laramie, WY. The Wyoming Geographic Information Science Center (WyGISC) is an interdisciplinary center that specializes in a wide range of subjects including geography, community planning, ecology, geology, hydrology, and natural resource management. The location also offers technical specialties including geographic analysis, spatial database decision and development, remote sensing and image processing, software application programming, and GIS program management. In 2024, we worked with USFS Region 4 on “Using NASA Earth Observations to Quantify Tree Mortality and Burn Severity to Inform Management on Ranches and Open Lands”. (5 NASA Graduate student fellows funded).
  • Summer High School Intern Program. Di Yang is the science mentor of NASA Stem Enhancement in Earth Science (SEES) which engages high school students nationwide through cutting-edge NASA-supported research projects focused on Earth observation and geospatial analysis. We introduce interns to advanced techniques for interpreting NASA satellite data and applying machine learning algorithms to environmental monitoring. Under her mentorship, students gain hands-on experience with tools like Google Earth Engine and learn to process and analyze large-scale geospatial datasets.
  • Animal Trails: Rediscovering Grand Teton Migrations. Matt Kauffman helped direct and produce this short film about the importance of ungulate migration.

 



Contact us:

Michael Dillon

(307) 314-9833 | michael.dillon@uwyo.edu