Ungulate migrations of the western United States, Volume 1

Kauffman, Matthew J.; Copeland, Holly E.; Berg, J. van den; Bergen, Scott; Cole, Eric K.; Cuzzocreo, Matthew; Dewey, Sarah R.; Fattebert, Julien; Gagnon, J S; Gelzer, Emily; Geremia, Chris; Graves, Tabitha A.; Hersey, Kent R.; Hurley, Mark A.; Kaiser, Rusty C.; Meacham, James E.; Merkle, Jerod A.; Middleton, Arthur D.; Nuñez, Tristan A.; Oates, Brendan; Olson, Daniel D.; Olson, Luke C.; Sawyer, Hall; Schroeder, Cody; Sprague, Scott; Steingisser, Alethea; Thonhoff, Mark

doi:10.3133/sir20205101

Cited by 15 publications

(13 citation statements)

References 11 publications

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“…The study area is the migratory range of two populations of female mule deer (Odocoileus hemionus) within the Baggs herd of Wyoming [23]. In keeping with previous studies [25][26][27], these populations are respectively referred to as the northern and southern Atlantic Rim herds (herein NAR and SAR herds, respectively).…”

Section: Study Areamentioning

confidence: 98%

“…These data originated from radio-collar tracking of female mule deer in the NAR and SAR herds over nine years (2005-2006; 2008-2010, 2015-2018). Migration initiation days were identified using the method of net-squared displacement [34], and full descriptions of the migration data, including initiation dates, can be found in Kaufman et.al (2020; [23]).…”

Section: Plos Onementioning

confidence: 99%

“…Data on animal land-migration patterns across North America are now becoming more widely available [23], and these datasets present opportunities to more closely examine linkages between hydroclimate-driven landscape processes and animal migrations.…”

Section: Introductionmentioning

confidence: 99%

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Testing the potential of streamflow data to predict spring migration of an ungulate herds

2022

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In mountainous and high latitude regions, migratory animals exploit green waves of emerging vegetation coinciding with rising daily mean temperatures initiating snowmelt across the landscape. Snowmelt also causes rivers and streams draining these regions to swell, a process referred to as to as the ‘spring pulse.’ Networks of streamgages measuring streamflow in these regions often have long-term and continuous periods of record available in real-time and at the daily time step, and thus produce data with potential to predict temporal migration patterns for species exploiting green waves. We tested the potential of models informed by streamflow data to predict timing of spring migration of mule deer (Odocoileus hemionus) herds in a headwater basin of the Colorado River. Models using streamflow data were compared with those informed by traditional temperature-derived measures of the onset of spring. Non-parametric linear-regression techniques were used to test for temporal stationarity in each variable, and logistic-regression models were used to produce probabilities of migration initiation. Our analysis indicates that models using daily streamflow data can perform as well as those using temperature-derived data to predict past-migration patterns, and nearly as well in potential to forecast future migrations. The best performing model was used to generate probabilities of onset of migration for mule deer herds over the 69-year period-of-record from a streamgage. That model indicated spring migration has been trending toward earlier initiations, with modeled median initiations shifting from a Julian day of 123 in the mid 20th century to Julian day 115 over the most recent two decades. The period of 1960 to 1979 had the latest modeled median initiations with Julian day of 128. The analyses demonstrate promise for merging existing hydrologic and biological data collection platforms in these regions to explore timing of past migration patterns and predict migration onsets in real-time.

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Section: Study Areamentioning

confidence: 98%

Section: Plos Onementioning

confidence: 99%

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Testing the potential of streamflow data to predict spring migration of an ungulate herds

2022

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“…housing, agriculture, energy). The maps of movement corridors and important areas produced by MM (see maps in Kauffman et al, 2020) provide science products that managers can use to triage or prioritize key habitats so that impacts on animal populations are avoided or minimized. For example, managers might limit the amount of disturbance allowed in high‐use corridors or areas, target them for habitat improvement projects, or prioritize specific private parcels for land protection programmes (Tack et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation

Merkle

Gage²,

Sawyer³

et al. 2022

Methods Ecol Evol

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Advances in tracking technology have revolutionized the study of terrestrial animal movement, providing a new and detailed lens of where animals move every hour of their lives (Kays et al., 2015). For terrestrial large mammals in particular, global positioning system (GPS) technology has helped reveal previously unknown large-scale movements (Naidoo et al., 2016), the mechanisms driving those movements (Teitelbaum et al., 2015) and the nutritional benefits afforded to animals that move long distances (Middleton et al., 2018).Furthermore, GPS collars have helped identify the diversity of migratory behaviours within and among populations (Lowrey et al., 2020) and how migration is learned and retained (Jesmer et al., 2018;Merkle et al., 2019). Ultimately, the last decade of research based

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“…The Idaho mule deer movement data are considered sensitive and have not been released by the Idaho Department of Fish and Game. The Red Desert to Hoback migration corridors are available at https://doi.org/10.5066/P9O2YM6I (Kauffman et al, 2020). The model fitting R code, including a vignette illustrating this approach, is archived at https://doi.org/10.5281/zenodo.6828966 (Nuñez, 2022).…”

Section: Data Availability Statementmentioning

confidence: 99%

A statistical framework for modelling migration corridors

et al. 2022

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Management of animal populations requires spatially explicit knowledge of movement corridors, such as those used during seasonal migrations. Global Positioning System (GPS) tracking data allow for mapping of corridors from directly observed movements, but such tracking data are absent for many populations. We developed a novel statistical corridor modelling approach that predicts movement corridors from cost‐distance models fit directly to migration tracking data. Unlike existing predictive approaches, this does not require the ad hoc transformation of habitat suitability surfaces into resistance surfaces. We tested the ability of the approach to recover parameters used to generate simulated movements. We then used GPS data from three migrating mule deer Odocoileus hemionus herds in Idaho and Wyoming to model corridors as a function of elevation, slope, aspect, percent shrub, date of peak green‐up, snow‐off date and human footprint. We assessed the predictive ability of the fitted models using validation tracks from the same herd as well as from the other herds. The approach reproduced parameters used to generate the simulated movements, predicted the corridors used by migratory populations, and described the direction, magnitude and confidence levels of the effects of environmental variables on corridors. Within‐herd validation indicated that fitted corridor models are more accurate at predicting migration corridors than null models, and cross‐herd validation indicated that fitted models for some herds accurately predicted the observed migrations of other herds. In addition to the practical benefit of mapping corridors for management, our statistical corridor modelling framework sets the stage for evaluating fundamental questions about the fitness trade‐offs, navigation, learning, fidelity and movement constraints that influence migratory and other corridor‐generating behaviour. Models of predictive corridors can inform management and planning for the conservation of migrations across taxa, including the potential restoration of corridors. Our corridor modelling approach is also readily applied to non‐migratory animal movements.

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Ungulate migrations of the western United States, Volume 1

Cited by 15 publications

References 11 publications

Testing the potential of streamflow data to predict spring migration of an ungulate herds

Testing the potential of streamflow data to predict spring migration of an ungulate herds

Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation

A statistical framework for modelling migration corridors

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