Projected proportional change in wildlife population measures for Scaled Quail, Gambel's Quail, and Gunnison's prairie dog under future climate scenarios in the U.S. Southwest

The dataset includes 36 raster files of predicted proportional change in wildlife population measure for different combinations of species, statistical model, time period, and emissions scenario.
This collection includes all 36 possible combinations of three species (Gambel's Quail, Scaled Quail, and Gunnison's prairie dog), three future time periods (2021-2050, 2041-2070, and 2061-2090), two emissions scenarios (RCP4.5 and RCP8.5), and two statistical models (means and extremes). Wildlife population measures are population densities for prairie dog and occurrence probabilities for quail. Projected changes are relative to a reference period of 1981-2010. The means models included predictors representing climate means, annual phenology metrics, or biophysical variables that did not change through time. The extremes models included all of the predictors in the means model plus predictors representing climate extremes. Projections are masked to grid cells with land-cover types most commonly used by the species. Units of analysis are ~6x6 km grid cells.

本数据集包含36幅栅格（raster）文件，用于展示不同物种、统计模型、时段与排放情景组合下的野生动物种群变化预测比例。
本数据集涵盖了全部36种可能的组合，涉及3个物种（甘贝尔鹌鹑（Gambel's Quail）、鳞斑鹌鹑（Scaled Quail）以及冈尼森草原犬鼠（Gunnison's prairie dog））、3个未来时段（2021-2050年、2041-2070年及2061-2090年）、2种排放情景（RCP4.5与RCP8.5）以及2类统计模型（均值模型与极端值模型）。
野生动物种群的度量指标分为两类：草原犬鼠对应种群密度，鹌鹑对应出现概率。所有预测的种群变化均以1981-2010年作为参考基准期。其中，均值模型的预测因子包含气候均值、年度物候指标或不随时间变化的生物物理变量；极端值模型则在均值模型的基础上，额外加入了表征气候极端事件的预测因子。
所有投影结果均经过掩膜处理，仅保留对应物种最常使用的土地覆盖类型对应的网格单元。分析单元为约6×6公里的网格单元。