Predicted daily elk distribution in southern GYE 2010, 2012, 2014

Using data from 288 adult and yearling female elk that were captured on 22 Wyoming winter supplemental elk feedgrounds and monitored with GPS collars, we fit Step Selection Functions (SSFs) during the spring abortion season and then implemented a master equation approach to translate SSFs into predictions of daily elk distribution for 5 plausible winter weather scenarios (from a heavy snow, to an extreme winter drought year). Here we provide the predictions of elk space use on a daily basis at a 500m resolution for the 5 different weather scenarios: 1) low snowfall year (2010), 2) average snowfall year (2012), 3) high snowfall year (2014), 4) hypothetical early snowmelt climate change scenario where spring green up started, snow melt occurred, and supplemental feeding ended 14 days earlier than in the low snow year of 2010, and 5) hypothetical winter drought climate change scenario where spring green up started, snow melt occurred, and supplemental feeding ended 28 days earlier than in the low snow year of 2010.本研究依托在怀俄明州22处冬季麋鹿补饲场捕获的288头成年及周岁雌性麋鹿的GPS项圈监测数据，于春季流产季拟合了步选择函数（Step Selection Functions, SSFs）；随后采用主方程（master equation）方法将该函数转换为5类合理冬季天气情景下的麋鹿每日分布预测结果，情景覆盖从强降雪年份至极端冬季干旱年份的区间。本数据集提供了上述5种天气情景下、分辨率为500米的麋鹿每日空间利用预测结果，具体情景如下：1) 低降雪年（2010年）；2) 平均降雪年（2012年）；3) 高降雪年（2014年）；4) 假设性融雪提前气候变化情景：该情景中春季植被返青、积雪消融及补饲停止时间均较2010年低降雪年提前14天；5) 假设性冬季干旱气候变化情景：该情景中春季植被返青、积雪消融及补饲停止时间均较2010年低降雪年提前28天。