Project Funding: 2011 - 2016

NRA: 2010 NASA: Climate and Biological Response: Research and Applications   

Funded by NASA

Abstract:
The USGS Fort Collins Science Center has established both the expertise to create state-of-the-art near-term climate-based habitat models and the infrastructure to connect these urgent modeling results on species of greatest concern to land managers. Meanwhile: - NASA continues to make improvements and enhancements to the satellite-derived products that the USGS is using for predictor layers in its habitat modeling, - Computing speed is available through NASA to allow much more exploration of modeling parameters and climate or land use scenarios, and - NSF- and DOE-sponsored workflow management and scientific visualization software is available to help interpret and manage the results of multiple and complex model exploration and iteration. Here we propose an effort to improve the USGS's "Resource for Advanced Modeling", that will serve DOI habitat modeling needs by bringing USGS and NASA resources together in a distributed modeling system that maximizes the complementary strengths of both NASA and the USGS. To demonstrate the utility of this capacity the project will focus on both: invasive species and threatened and endangered species; two critical land management issues. The proposal is a hybrid; combining technical capacity with a natural resource applications focus.

Publications:

Evangelista, P., Young, N., Schofield, P., Jarnevich, C. 2016. Modeling suitable habitat of invasive red lionfish Pterois volitans (Linnaeus, 1758) in North and South America's coastal waters. Aquatic Invasions. 11(3), 313-326. DOI: 10.3391/ai.2016.11.3.09

Germaine, S. S., Carter, S. K., Ignizio, D. A., Freeman, A. T. 2017. Relationships between gas field development and the presence and abundance of pygmy rabbits in southwestern Wyoming. Ecosphere. 8(5), e01817. DOI: 10.1002/ecs2.1817

Hahn, M. B., Jarnevich, C. S., Monaghan, A. J., Eisen, R. J. 2016. Modeling the Geographic Distribution ofIxodes scapularisandIxodes pacificus(Acari: Ixodidae) in the Contiguous United States. Journal of Medical Entomology. 53(5), 1176-1191. DOI: 10.1093/jme/tjw076

Jarnevich, C. S., Holcombe, T. R., Bella, E. M., Carlson, M. L., Graziano, G., Lamb, M., Seefeldt, S. S., Morisette, J. 2017. Cross-Scale Assessment of Potential Habitat Shifts in a Rapidly Changing Climate. Invasive Plant Science and Management. 7(3), 491-502. DOI: 10.1614/ipsm-d-13-00071.1

Jarnevich, C. S., Holcombe, T. R., Grisham, B. A., Timmer, J., Boal, C. W., Butler, M. J., Pitman, J., Kyle, S. C., Klute, D., Beauprez, G. M., Janus, A., Van Pelt, W. E. 2016. Assessing range-wide habitat suitability for the Lesser Prairie-Chicken. Avian Conservation and Ecology. 11(1). DOI: 10.5751/ace-00807-110102

Jarnevich, C. S., Stohlgren, T. J., Kumar, S., Morisette, J. T., Holcombe, T. R. 2015. Caveats for correlative species distribution modeling. Ecological Informatics. 29, 6-15. DOI: 10.1016/j.ecoinf.2015.06.007

Jarnevich, C. S., Talbert, M., Morisette, J., Aldridge, C., Brown, C. S., Kumar, S., Manier, D., Talbert, C., Holcombe, T. 2017. Minimizing effects of methodological decisions on interpretation and prediction in species distribution studies: An example with background selection. Ecological Modelling. 363, 48-56. DOI: 10.1016/j.ecolmodel.2017.08.017

Jarnevich, C., Young, N., Sheffels, T., Carter, J., Sytsma, M., Talbert, C. 2017. Evaluating simplistic methods to understand current distributions and forecast distribution changes under climate change scenarios: an example with coypu (Myocastor coypus). NeoBiota. 32, 107-125. DOI: 10.3897/neobiota.32.8884

Luizza, M. W., Evangelista, P. H., Jarnevich, C. S., West, A., Stewart, H. 2016. Integrating subsistence practice and species distribution modeling: assessing invasive elodea's potential impact on Native Alaskan subsistence of Chinook salmon and whitefish. Environmental Management. 58(1), 144-163. DOI: 10.1007/s00267-016-0692-4

Luizza, M. W., Wakie, T., Evangelista, P. H., Jarnevich, C. S. 2016. Integrating local pastoral knowledge, participatory mapping, and species distribution modeling for risk assessment of invasive rubber vine (Cryptostegia grandiflora) in Ethiopia’s Afar region. Ecology and Society. 21(1). DOI: 10.5751/es-07988-210122

Morisette, J. T., Cravens, A. E., Miller, B. W., Talbert, M., Talbert, C., Jarnevich, C., Fink, M., Decker, K., Odell, E. A. 2017. Crossing Boundaries in a Collaborative Modeling Workspace. Society & Natural Resources. 30(9), 1158-1167. DOI: 10.1080/08941920.2017.1290178

Morisette, J. T., Jarnevich, C. S., Holcombe, T. R., Talbert, C. B., Ignizio, D., Talbert, M. K., Silva, C., Koop, D., Swanson, A., Young, N. E. 2013. VisTrails SAHM: visualization and workflow management for species habitat modeling. Ecography. 36(2), 129-135. DOI: 10.1111/j.1600-0587.2012.07815.x

Sidder, A. M., Kumar, S., Laituri, M., Sibold, J. S. 2016. Using spatiotemporal correlative niche models for evaluating the effects of climate change on mountain pine beetle. Ecosphere. 7(7). DOI: 10.1002/ecs2.1396

Springer, Y. P., Jarnevich, C. S., Monaghan, A. J., Eisen, R. J., Barnett, D. T. 2015. Modeling the Present and Future Geographic Distribution of the Lone Star Tick, Amblyomma americanum (Ixodida: Ixodidae), in the Continental United States. The American Journal of Tropical Medicine and Hygiene. 93(4), 875-890. DOI: 10.4269/ajtmh.15-0330

Stohlgren, T. J. 2002. Beyond Theories of Plant Invasions: Lessons From Natural Landscapes. Comments on Theoretical Biology. 7(6), 355-379. DOI: 10.1080/08948550214858

Wakie, T. T., Evangelista, P. H., Jarnevich, C. S., Laituri, M. 2014. Mapping Current and Potential Distribution of Non-Native Prosopis juliflora in the Afar Region of Ethiopia. PLoS ONE. 9(11), e112854. DOI: 10.1371/journal.pone.0112854

West, A. M., Evangelista, P. H., Jarnevich, C. S., Kumar, S., Swallow, A., Luizza, M. W., Chignell, S. M. 2017. Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software. International Journal of Applied Earth Observation and Geoinformation. 59, 135-146. DOI: 10.1016/j.jag.2017.03.009

West, A. M., Evangelista, P. H., Jarnevich, C. S., Young, N. E., Stohlgren, T. J., Talbert, C., Talbert, M., Morisette, J., Anderson, R. 2016. Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM). Journal of Visualized Experiments. DOI: 10.3791/54578

West, A. M., Kumar, S., Brown, C. S., Stohlgren, T. J., Bromberg, J. 2016. Field validation of an invasive species Maxent model. Ecological Informatics. 36, 126-134. DOI: 10.1016/j.ecoinf.2016.11.001

West, A. M., Kumar, S., Jarnevich, C. S. 2015. Regional modeling of large wildfires under current and potential future climates in Colorado and Wyoming, USA. Climatic Change. 134(4), 565-577. DOI: 10.1007/s10584-015-1553-5

West, A. M., Kumar, S., Wakie, T., Brown, C. S., Stohlgren, T. J., Laituri, M., Bromberg, J. 2015. Using High-Resolution Future Climate Scenarios to Forecast Bromus tectorum Invasion in Rocky Mountain National Park. PLOS ONE. 10(2), e0117893. DOI: 10.1371/journal.pone.0117893

Wu, W., West, S. G. 2010. Sensitivity of Fit Indices to Misspecification in Growth Curve Models. Multivariate Behavioral Research. 45(3), 420-452. DOI: 10.1080/00273171.2010.483378

More details may be found in the following project profile(s):

• NASA Biological Diversity & Ecological Conservation (BDEC) Project Profile