“Empirically informed Bayesian modeling, fueled by large monitoring datasets that accumulate over time and that are underpinned by a robust survey design (e.g., our NABat spatially balanced master sample) provides a powerful and flexible foundation for building an adaptive, evidence‐based conservation information system. The long‐standing logistical challenges associated with studying bats that preclude directly estimating bat population sizes and demographic rates require the kinds of solutions that we demonstrate and discuss.”
Rodhouse, T.J., Rodriguez R.M., Banner K.M., Ormsbee, P.C., Barnett, J., and Irvine, K.M. 2019. Evidence of region‐wide bat population decline from long‐term monitoring and Bayesian occupancy models with empirically informed priors. Ecology & Evolution, 9(19), 11078– 11088. https://doi.org/10.1002/ece3.5612
“This study was designed to establish pika presence in a new location, determine distribution within the surveyed area, and evaluate influences of elevation, vegetation, lava complexity, and distance to habitat edge on pika site occupancy… Pika were two times more likely to occur with increasing elevation, although they were found at all elevations in the study area. This study expands the known distribution of the species and provides additional evidence for persistence in nonalpine habitats. Results partially support the predictive occupancy model developed for pika at Craters of the Moon National Monument, another lava environment.”
Shinderman, M. (2015). American pika in a low‐elevation lava landscape: Expanding the known distribution of a temperature‐sensitive species. Ecology and Evolution, 5, 3666– 3676. https://doi.org/10.1002/ece3.1626
“We first encountered ventenata in 2014 in the John Day Fossil Beds National Monument, a low-elevation steppe protected area in central Oregon... Ventenata infestation increased within our 4674 ha monitored area from 21 ha (95% CI 3-106) in 2016 to 138 ha (95% CI 31-265 ha) in 2018, and declined to 63 ha (95% CI 13-119 ha) in 2019, representing a cumulative increase of 300% over the four year period...Our observations contribute to the growing evidence that ventenata poses a greater threat to low-elevation sagebrush ecosystems than previously recognized. It also illustrates the kinds of external stressors that are impacting sagebrush steppe protected areas and the need for continued early detection and rapid response measures, as well as long-term monitoring of invasions and response effectiveness.”
Nicolli, M., Rodhouse, T.J., Stucki, D.S., and Shinderman, M.J. 2020. Rapid invasion by the annual grass Ventenata dubia into protected-area low-elevation sagebrush steppe. Western North American Naturalist In press.
Rodhouse, T.J., Rose, S., Hawkins, T., & Rodriguez, R. M. 2021. Audible bats provide opportunities for citizen scientists. Conservation Science and Practice, 3:e435. https://doi.org/10.1111/csp2.435
Banner, K.M., Irvine, K.M., Rodhouse, T.J., Donner, D., Litt, A.R. 2019. Statistical power of dynamic occupancy models to identify temporal change: informing the North American Bat Monitoring Program. Ecological Indicators 105:166-176. https://doi.org/10.1016/j.ecolind.2019.05.047
Rodhouse, T.J., Rodriguez, R.M., Irvine, K.M., Banner, K.M., Ormsbee P.C., Barnett, J. 2019. Evidence of region-wide bat population decline from long-term monitoring and Bayesian occupancy models with empirically-informed priors. Ecology and Evolution 9:11078-11088. https://doi.org/10.1002/ece3.5612
Rodriguez, R.M., Rodhouse, T.J., Barnett, J., Irvine, K.M., Banner, K.M., Lonneker, J., and Ormsbee, P.C. 2019. North American Bat Monitoring Program regional protocol for surveying with stationary deployments of echolocation recording devices: Version 1.0, Pacific Northwestern US. Natural Resource Report NPS/UCBN/NRR—2019/1975. National Park Service, Fort Collins, Colorado. https://irma.nps.gov/DataStore/Reference/Profile/2265548
Banner, K., Irvine, K.M., Rodhouse, T.J., Wright, W.J., Rodriguez, R.M., and Litt, A.R. 2018. Improving geographically-extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification. Ecology and Evolution 8:6144-6156. https://doi.org/10.1002/ece3.4162
Weller T.J., Rodhouse T.J., Neubaum D.J., Ormsbee P.C., Dixon R.D., Popp D.L., et al. 2018. A review of bat hibernacula across the western United States: Implications for white-nose syndrome surveillance and management. PLoS ONE 13(10): e0205647. https://doi.org/10.1371/journal.pone.0205647https://doi.org/10.1371/journal.pone.0205647
Shinderman, M., & Popp, D. 2020. Monitoring American pika in protected lava landscapes: 2019 project background and results. OSU-Cascades Human and Ecosystem Resilience and Sustainability Lab, Oregon State University-Cascades & National Parks Service.
Smith, A.B., Beever, E.A., Kessler A.E., … ,Rodhouse, T.J, … et al. 2019. Alternatives to genetic affinity as a context for within-species response to climate. Nat. Clim. Chang. 9, 787–794 (2019) doi:10.1038/s41558-019-0584-8
Rodhouse, T.J., Jeffress, M.R., Sherrill, K.R., Mohren, S.R., Nordensten N.J., Magnuson, M.L., Schwalm, D.*, Castillo, J.A., Shinderman, M.J., and Epps, C.W. 2018. Geographic variation in the influence of habitat and climate on site occupancy turnover in American Pika (Ochotona princeps). Diversity and Distributions 24:1506-1520. https://doi.org/10.1111/ddi.12791
Shinderman, M.J., Rodhouse, T.J., Popp D.L. 2018. Monitoring American Pika in Protected Lava Landscapes 2018 Project Background and Results. Humans & Ecosystems Resiliency & Sustainability Lab, Oregon State University-Cascades & National Parks Service.
Shinderman, M.J., Rodhouse, T.J., Popp D.L. 2017. Monitoring American Pika in Protected Lava Landscapes 2017 Project Background and Results. Humans & Ecosystems Resiliency & Sustainability Lab, Oregon State University-Cascades & National Parks Service.
Rodhouse, T.J., Beever, E.A., Garrett, L.K., Irvine, K.M., Jeffress, M.R., Munts, M., Ray, C. 2010. Distribution of American pikas in a low-elevation lava landscape: conservation implications from the range periphery, Journal of Mammalogy, Volume 91, Issue 5, Pages 1287–1299, https://doi.org/10.1644/09-MAMM-A-334.1
Rodhouse, T.J., Lonneker, J., Bowersock, L., Popp, D., Thompson, J. C., Dicus, G.H., & Irvine, K.M. 2021. Resilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US national parks. Global Ecology and Conservation, 28. https://doi.org/10.1016/j.gecco.2021.e01689
Rodhouse, T.J., Irvine, K.M., & Bowersock, L. 2020. Post-Fire Vegetation Response in a Repeatedly Burned Low-Elevation Sagebrush Steppe Protected Area Provides Insights About Resilience and Invasion Resistance. Frontiers in Ecology and Evolution, 8. https://doi.org/10.3389/fevo.2020.584726
Shinderman M., Hovland M., Oedekerk C., Lamet A.J., Rodhouse T.J. 2020. Managing for resilience to fire and resistance to annual grass invasion in upland sagebrush steppe: John Day Fossil Beds National Monument. Natural Resources Report. NPS/UCBN/NRR—2020/2144. National Park Service. Ft. Collins, CO
Esposito, D., Rodhouse T.J., Mata-Gonzalez R., and Hovland, M. 2019. Differential species responses to aspects of resistance to invasion in two Columbia Plateau protected areas. Rangeland Ecology and Management 72:773-782. https://doi.org/10.1016/j.rama.2019.05.006
Hovland, M., Mata-González, R., Schreiner R.P., Rodhouse, T.J. 2019. Fungal Facilitation in Rangelands: Do Arbuscular Mycorrhizal Fungi Mediate Resilience and Resistance in Sagebrush Steppe? Rangeland Ecology & Management 72(4), 678-691. https://doi.org/10.1016/j.rama.2019.02.004
Irvine, K.M., W.J. Wright, E.K. Shanahan, and Rodhouse, T.J. 2019. Cohesive framework for modeling plant cover class data. Methods in Ecology and Evolution 10:1749-1760. doi-org.ezproxy.proxy.library.oregonstate.edu/10.1111/2041-210X.13262
Nicolli M.M. 2019. Sagebrush steppe vegetation monitoring in the Blue Basin Area of the John Day Fossil Beds National Monument: 2018 annual report. Natural Resource Data Series. NPS/UCBN/NRR—2019/1868. National Park Service. Fort Collins, Colorado. https://irma.nps.gov/DataStore/DownloadFile/618583