Research
Research Pillars: Extinction, Habitat, Corridors, Climate
Research Pillars: Extinction, Habitat, Corridors, Climate
Dig in deeper to key research themes in the Frey Lab. See examples of research in several themes below.
You may also access electronic copies of research products from Dr. Frey's ResearchGate page (https://www.researchgate.net/profile/Jennifer-Frey-5)
Research Pillars: Extinction, Habitat, Corridors, Climate
We investigate habitat selection of organisms across scales from the landscape to individual behavioral choices to inform ecology, biogeography, and conservation to help implement scientifically defensible policy and management.
Taxonomic groups: We mainly work on mammals (small to large), but also on other emblematic species such as dusky grouse and pinyon jays.
Where we work: Most research in the lab focuses on montane mammals in the Southwest, particularly the Gila-Sky Island region, the Rocky Mountain Linkages region, and the Southern Rocky Mountains. We work across multiple ecosystems, especially coniferous forests, pinyon-juniper woodlands, grasslands, and riparian systems.
Principal applications:
Understand habitat requirements, especially for species of concern to inform management
Identify linkage corridors among populations.
Identify threats leading to habitat loss, especially related to climate change
Identify causes of extirpation, especially due to habitat loss or niche reduction
Predict future impacts of threats and climate change to species habitat and their distributions
Identify relictual core habitats necessary to sustain populations
Identify species range dynamics (expansions and contractions) and mechanisms and methods to identify
Other research topics:
Species diversity patterns
Historical and ecological biogeography of the Southwest
Wildlife depredation risk management
Altered daily activity patterns as a response to climate
Use and interpretation of citizen science data and other forms of species occurrence data
Taxonomy and phylogeography of mammals
Natural history and foraging behavior
Principal methods:
Our work has one foot rooted in extensive field data collection and the other foot rooted in robust quantitative analyses.
Hierarchical models, especially occupancy models and derivations such as false positive models
Species distribution models based in AI machine learning
Corridor mapping using circuit theory and other techniques
Remote camera surveys, including for difficult to identify species
Capture surveys
Telemetry
Morphology and genetics
The New Mexico jumping mouse occurs in several areas of the Southwest and is listed as endangered under the Endangered Species Act. My research helped establish that it requires tall dense herbaceous riparian vegetation on saturated soil and can be lost due to excessive livestock grazing and other threats. This information provides the basis for most of the management for the species.
Frey, J.K., and J.L. Malaney. 2009. Decline of the meadow jumping mouse (Zapus hudsonius luteus) in two mountain ranges in New Mexico. The Southwestern Naturalist, 54:31-44. article link
Frey, J.K. 2017. Landscape Scale and Microhabitat of the Endangered New Mexico Meadow Jumping Mouse in the White Mountains, Arizona. Journal of Fish and Wildlife Management, 8:39-58. article link
Nectar feeding bats migrate from the southwestern US to central Mexico and are threatened by habitat loss, cave disturbance, and other factors. We modeled the distribution of these bats based on food resources (e.g., flowering agave and columnar cacti) and other variables. We then used circuit theory (a process originally developed to understand the flow of electrical energy) to predict the migratory pathways of the bats. Our research confirmed that these bats follow a "nectar corridor" during migration along the western Pacific slope of Mexico. These results help identify critical habitat that must be maintained to support these important bat populations.
Burke, R., J.K. Frey, A.C. Ganguli, K.E. Stoner. 2019. Species distribution modeling supports "nectar corridor" hypothesis for migratory nectarivorous bats and conservation of tropical dry forests. Diversity and Distributions, 25: 1399-1415. link to article
Burke, R., J.K. Frey, and K. E. Stoner. 2021. Using species distribution modeling to delineate richness patterns of chiropterophyllic plants and allocate conservation efforts in Mexico and the southwestern United States. Natural Area Journal, 41:85-92. https://doi.org/10.3375/043.041.0203 link to article
The American ermine occurring in New Mexico is the smallest carnivore in the world. It is so small that it is not harvested or often studied leading to paucity of information about its biology and conservation status. We compiled information on the species in New Mexico and used machine learning methods to predict its habitat. We found that this tiny weasel requires both healthy riparian vegetation found near beaver ponds and adequate winter snow cover, both of which are at risk due to climate change.
Frey, J.K., and M. Calkins. 2014. Snow cover and riparian habitat determine the distribution of the short-tailed weasel (Mustela erminea) at its southern range limits in arid western North America. Mammalia, 78:45-56. article link
We used remote camera surveys and occupancy models to evaluate the extent and causes of extirpation of the Organ Mountains Colorado chipmunk. We fund that the chipmunk has been extirpated from > 60% of historical sites with extensive retraction of its distribution higher in elevation. We concluded that the extirpations were due to niche reduction as a result of climate change rather than habitat loss per se. Our spatial models allowed us to identify remaining core habitat for the chipmunk so that safeguards can be enacted to protect the habitat and the chipmunk.
Jacobson H.N., and J.K. Frey. In preparation. Niche reduction drives extirpation and habitat selection.
We predicted historical, current, and future distribution of the Dusky Grouse in in the Southwest. We found that recent wildfires caused a substantial loss of their coniferous forest habitat, and that future climate change is likely to eliminate most habitat in most areas.
Youtz, J., R. Goljani Amirkhiz, and J. K. Frey. 2022. Modeling the impact of climate change and wildfire on the Dusky Grouse (Dendragapus obscurus) in the American Southwest: implications for conservation. Avian Conservation and Ecology 17(1):35. https://doi.org/10.5751/ACE-02222-170135 article link
Mountaintops may serve as "sky islands" for many mammals because montane environments are often surrounded by "seas" of desert or grassland. Island biogeographic theory indicates that species on an island are at equilibrium between contrasting forces of colonization and extinction, which are dictated by island isolation and area, respectively. In contrast to this theory, montane mammal communities occurring on sky islands in the Southwest are structured only by extinction related to the timing of isolation of the mountaintop habitat.
Frey, J.K., T.L. Yates, and M.A. Bogan. 2007. Mountaintop island age determines species richness of boreal mammals in the American Southwest. Ecography, 30:231-240. article link
We used spatial models using machine learning methods to predict places where Mexican wolves kill cattle. When the model is projected across the Southwest, it shows that some areas have higher risk of depredations than others. This information can help inform management by allocating more resources to risky areas.
Goljani, R., J.K. Frey, J. W. Cain III, S. W. Breck, D. L. Bergman. 2018. Predicting spatial factors associated with cattle depredations by the Mexican wolf (Canis lupus baileyi) with recommendations for depredation risk modeling. Biological Conservation, 224:327-335. article link
We used remote cameras to monitor the daily activity pattern of the Organ Mountains Colorado chipmunk across the year. We used the data to understand how activity pattern varied in response to climate and then predicted the chipmunk's activity in future climates. We found that in future years the chipmunk is likely to face immense threats due to shifts when it can be active as a result of climate change.
Schweiger, B.R. and J.K. Frey. 2021. Weather determines daily activity pattern of an endemic chipmunk with predictions for climate change. Climate Change Ecology, 2:100037 article link
The Peñasco least chipmunk has been proposed for listing on the Endangered Species Act as endangered. The current known populations are estimated to have < 50 individuals making any invasive survey methods risky. We use remote cameras to study the chipmunk, but that is complicated because another similar looking and common chipmunk (gray-footed chipmunk) co-occurs with the Peñasco chipmunk. To alleviate potential problems of misidentification that could cause bias in our results, we developed rigorous methods for identifying the chipmunks and evaluated the best statistical methods for treating the data. This gives assurance that our results are robust and can be used to inform management to recover the chipmunk.
McKibben, F.E., and J.K. Frey. 2021. Linking camera-trap data to taxonomy: Identifying photographs of morphologically similar chipmunks. Ecology and Evolution, 11: 9741-9764. article link
McKibben, F.A., F. A. Gebresselassie, J.K. Frey. 2023. To model or not to model: False positive detection error in camera-trap surveys. Journal of Wildlife Management, 87(3): e22365 article link