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15 results for “pronghorn”
Daily location data for pronghorn collared on the Modoc Plateau, CA
<p>The data set contains the average daily location of pronghorn collared on the Modoc Plateau in northern California. The location data represent the average UTM easting and northing of all locations recorded for each animal on a given day. Locations were recorded every 1-6 hours. All data points were collected in North American UTM zone 10.</p> <p>There are 8 columns of data:</p> <p>Pronghorn.ID: Unique identifier for each individual pronghorn. First letter corresponds to the animal's sex (F=female, M=male).</p> <p>day.ave.Easting: the average UTM Easting value of all GPS locations recorded for the day.</p> <p>day.ave.Northing:the average UTM Northing value of all GPS locations recorded for the day.</p> <p>Year: The year data point was collected.</p> <p>Month: The month data point was collected.</p> <p>week: The week of the year that the data point was collected.</p> <p>Day: Day of the month the data point was collected.</p> <p>post.capt: Number of days since the animal was captured and collared.</p> <p>day.ave.Easting: the average UTM Easting value of all GPS locations recorded for the day. Data points are all in North American UTM zone 10.</p> <p> </p>
Pronghorn (Antilocapra americana) enamel phosphate δ18O values reflect climate seasonality: implications for paleoclimate reconstruction
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Paul H. Manship - Pronghorn Antelope
Modeled 1917, bronze cast 2002, this 3D scan 2014 Scanned at: Museum of Fine Arts, Boston Source: Objaverse 1.0 / Sketchfab
The genetic consequences of captive breeding, environmental change and human exploitation in the endangered peninsular pronghorn
<p>Binned microsatelite data of the peninsular pronghorn subspecies (Antilocapra americana peninsularis). Data is organized in by year manner. Each population correspond to the year samples were collected from, for example Pop_09 corresponds to samples collected from year 2009, whereas Pop_21 corresponds to the samples collected from year 2021.</p> <p> </p>
Data from: Climatically robust multi-scale species distribution models to support pronghorn recovery in California
<p>We combined two climate-based distribution models with three finer-scale suitability models to identify habitat for pronghorn recovery in California now and into the future.</p> <p>Location: California, United States </p> <p>Methods: We used a consensus approach to identify areas of suitable climate now (1980-2010) and future (2031-2060) for pronghorn in California. We compared the results of models from two separate hypotheses about their historical ecology in the state, specifically the migration hypothesis and the niche reduction hypothesis. We combined occurrences from GPS collars distributed across three populations of pronghorn in the state to create three distinct habitat models: (1) an ensemble model using Random Forests, Maxent, Classification and Regression Trees, and a Generalized Linear Model; (2) a step selection function; and (3) an expert-driven model. We evaluated consensus among both the climate models and the suitability models to prioritize areas for, and evaluate the prospects of, pronghorn recovery. </p> <p>Results: Climate suitability for pronghorn in the future depends heavily on model assumptions. Under the migration hypothesis, our model predicted that there will be on suitable climate in California in the future. Under the niche reduction hypothesis, by contrast, suitable climate will expand. Habitat also depended on the methods used, but areas of consensus among all three exist in large patches throughout the state.</p> <p>Main Conclusions: Identifying habitat for a species which has undergone extreme range collapse, and which has very fine scale habitat needs, presents novel challenges for spatial ecologists. Our multi-method, multi-hypothesis approach can allow habitat modelers to identify areas of consensus and, perhaps more importantly, critical knowledge gaps that could resolve disagreements among the models. For pronghorn, a better understanding of their upper thermal tolerances and whether historical populations migrated will be crucial to their potential recovery in California and throughout the arid Southwest.</p>
Pronghorn population genomics show connectivity at the core of their range
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Data from: Climatically robust multi-scale species distribution models to support pronghorn recovery in California
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Data from: Challenging conventional views on the elevational limits of pronghorn habitat
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Multi-scale habitat assessment of pronghorn migration routes
<p>We studied the habitat selection of pronghorn (<i>Antilocapra americana</i>) during seasonal migration; an important period in an animal's annual cycle associated with broad-scale movements. We further decompose our understanding of migration habitat itself as the product of both broad- and fine-scale behavioral decisions and take a multi-scale approach to assess pronghorn spring and fall migration across the transboundary Northern Sagebrush Steppe region. We used a hierarchical habitat selection framework to assess a suite of natural and anthropogenic features that have been shown to influence selection patterns of pronghorn at both broad (migratory neighborhood) and fine (migratory pathway) scales. We then combined single-scale predictions into a scale-integrated step selection function (ISSF) map to assess its effectiveness in predicting migration route habitat. During spring, pronghorn selected for native grasslands, areas of high forage productivity (NDVI), and avoided human activity (i.e., roads and oil and natural gas wells). During fall, pronghorn selected for native grasslands, larger streams and rivers, and avoided roads. We detected avoidance of paved roads, unpaved roads, and wells at broad spatial scales, but no response to these features at fine scales. In other words, migratory pronghorn responded more strongly to anthropogenic features when selecting a broad neighborhood through which to migrate than when selecting individual steps along their migratory pathway. Our results demonstrate that scales of migratory route selection are hierarchically nested within each other from broader (second-order) to finer scales (third-order). In addition, we found other variables during particular migratory periods (i.e., native grasslands in spring) were selected for across scales indicating their importance for pronghorn. The mapping of ungulate migration habitat is a topic of high conservation relevance. In some applications, corridors are mapped according to telemetry location data from a sample of animals, with the assumption that the sample adequately represents habitat for the entire population. Our use of multi-scale modelling to predict resource selection during migration shows promise and may offer another relevant alternative for use in future conservation planning and land management decisions where telemetry-based sampling is unavailable or incomplete.</p>
Data from: Evaluating the interaction of faecal pellet deposition rates and DNA degradation rates to optimize sampling design for DNA-based mark-recapture analysis of Sonoran pronghorn
Knowledge of population demographics is important for species management but can be challenging in low-density, wide-ranging species. Population monitoring of the endangered Sonoran pronghorn (Antilocapra americana sonoriensis) is critical for assessing the success of recovery efforts, and noninvasive DNA sampling (NDS) could be more cost-effective and less intrusive than traditional methods. We evaluated faecal pellet deposition rates and faecal DNA degradation rates to maximize sampling efficiency for DNA-based mark–recapture analyses. Deposition data were collected at five watering holes using sampling intervals of 1–7 days and averaged one pellet pile per pronghorn per day. To evaluate nuclear DNA (nDNA) degradation, 20 faecal samples were exposed to local environmental conditions and sampled at eight time points from one to 124 days. Average amplification success rates for six nDNA microsatellite loci were 81% for samples on day one, 63% by day seven, 2% by day 14 and 0% by day 60. We evaluated the efficiency of different sampling intervals (1–10 days) by estimating the number of successful samples, success rate of individual identification and laboratory costs per successful sample. Cost per successful sample increased and success and efficiency declined as the sampling interval increased. Results indicate NDS of faecal pellets is a feasible method for individual identification, population estimation and demographic monitoring of Sonoran pronghorn. We recommend collecting samples >7 days old and estimate that a sampling interval of 4–7 days in summer conditions (i.e. extreme heat and exposure to UV light) will achieve desired sample sizes for mark–recapture analysis while also maximizing efficiency.
Data from: Inbreeding depression in pronghorn (Antilocapra americana) fawns
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Data from: Evaluating the interaction of faecal pellet deposition rates and DNA degradation rates to optimize sampling design for DNA-based mark-recapture analysis of Sonoran pronghorn
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Multi-scale habitat assessment of pronghorn migration routes
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Pronghorn in Antilocapridae
Pronghorn
Paul H. Manship - Pronghorn Antelope
Modeled 1917, bronze cast 2002, this 3D scan 2014 Scanned at: Museum of Fine Arts, Boston Source: Objaverse 1.0 / Sketchfab
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OpenNeuro
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