Impact of Drought on Southwestern Pronghorn Population Trends and Predicted Trajectories in the Southwest in the Face of Climate Change

Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 populations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth...

Categories: Data; Types: Citation; Tags: Antilocapra americana, Arizona, Climatology, Drought, Drought, Fire and Extreme Weather, All tags... Land Use Change, Mammals, National CASC, New Mexico, Texas, USGS Science Data Catalog (SDC), Utah, Wildlife Biology, Wildlife and Plants, climate change, density dependence, integrated Bayesian population models, large herbivores, population dynamics, rainfall effects, southwestern US, southwestern United States, southwestern United States, standardized precipitation index, ungulates, western Texas, Fewer tags

Impact of Drought on Southwestern Pronghorn Population Trends and Predicted Trajectories Climate Projection Data

Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 subpopulations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth...

Categories: Data; Types: Citation; Tags: Antilocapra americana, Arizona, Drought, Drought, Fire and Extreme Weather, Mammals, All tags... National CASC, New Mexico, Texas, Utah, Wildlife and Plants, climate change, density dependence, integrated Bayesian population models, large herbivores, population dynamics, rainfall effects, southwestern US, southwestern United States, southwestern United States, standardized precipitation index, ungulates, western Texas, Fewer tags

Impact of Drought on Southwestern Pronghorn Population Trends and Predicted Trajectories Predictor Model

Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 subpopulations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth...

Categories: Data; Types: Citation; Tags: Antilocapra americana, Arizona, Drought, Drought, Fire and Extreme Weather, Mammals, All tags... National CASC, New Mexico, Texas, Utah, Wildlife and Plants, climate change, density dependence, integrated Bayesian population models, large herbivores, population dynamics, rainfall effects, southwestern US, southwestern United States, southwestern United States, standardized precipitation index, ungulates, western Texas, Fewer tags

Rio Grande aquifer system

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents the extent of the Rio Grande aquifer system in the states of Colorado, New Mexico, and Texas.

Categories: pre-SM502.8; Tags: Arizona, Colorado, NSDI, New Mexico, USGS Science Data Catalog (SDC), All tags... Western Texas, aquifer, aquifer extent, environment, geoscientificInformation, groundwater, inlandWaters, inlandWaters, Fewer tags