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首页> 外文期刊>Journal of Wildlife Management >Disturbance factors influencing greater sage-grouse lek abandonment in north-central Wyoming.
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Disturbance factors influencing greater sage-grouse lek abandonment in north-central Wyoming.

机译:扰动因素影响怀俄明州中北部更大的鼠尾草韭葱遗弃。

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Detecting the disappearance of active leks is the most efficient way to determine large declines in greater sage-grouse (Centrocercus urophasianus) populations; thus, understanding factors that influence lek abandonment is critical. We evaluated factors that may have influenced the probability of sage-grouse lek abandonment in the Bighorn Basin (BHB) of north-central Wyoming from 1980 to 2009. Our objective was to examine lek abandonment based on landscape characteristics that explain differences between occupied and unoccupied leks. We evaluated lek abandonment from 144 occupied and 39 unoccupied leks from the Wyoming Game and Fish Department lek database with sufficient data for our 30-year analysis. We conducted our analysis with binary logistic regression using landscape predictor variables obtained from geographic coverages at 5 scales (1.0-, 3.2-, 4.0-, 5.0-, and 6.4-km radii around leks) to evaluate how these disturbances have influenced lek abandonment. Coverages included anthropogenic characteristics such as agricultural development, oil and gas development, prescribed burned treatments, and roads; and environmental characteristics such as vegetation attributes and wildfire. Our combined model included the number of oil and gas wells in a 1.0-km radius, percent area of wildfire in a 1.0-km radius, and variability in shrub height in a 1.0-km radius around sage-grouse leks. Abandoned (unoccupied) leks had 1.1-times the variability of shrub height in a 1.0-km radius, 3.1-times the percentage of wildfire in a 1.0-km radius, and 10.3-times the number of oil and gas wells in a 1.0-km radius compared to occupied leks. The model-averaged odds of lek persistence with every 1 unit increase in oil and gas wells within a 1.0-km radius was 0.66 (90% CI: 0.37-0.94), odds with every 1% increase in wildfire in a 1.0-km radius was 0.99 (90% CI: 0.85-1.12), and odds with every 1 unit increase in the standard deviation of shrub height within a 1.0-km radius around a lek was 0.77 (90% CI: 0.45-1.08). Because the 90% confidence intervals around the odds ratios of wells did not overlap 1.0, we suggest this predictor variable was most influential in our model-averaged estimates. The BHB has lower developed reserves of oil and gas than many other regions; however, our study supports findings from other studies that demonstrate energy development increases lek abandonment. Our findings indicate conservation efforts should be focused on minimizing well development and implementing wildfire suppression tactics near active sage-grouse leks.Digital Object Identifier http://dx.doi.org/10.1002/jwmg.417
机译:检测活跃韭菜的消失是确定较大鼠尾草种群(Centrocercus urophasianus)种群大量下降的最有效方法。因此,了解影响韭葱遗弃的因素至关重要。我们评估了可能影响1980年至2009年怀俄明州中北部大角羊盆地(BHB)鼠尾草遗弃的可能性的因素。我们的目的是根据景观特征来研究韭菜的放弃,该现象解释了居住和未居住之间的差异。韭菜。我们评估了怀俄明州游戏与鱼类部鱼类数据库中144个被占用和39个未被使用的韭菜的遗弃状况,并为我们进行了30年的分析。我们使用景观预测变量对二进制逻辑回归进行了分析,该变量是从5个尺度(韭菜周围半径1.0、3.2、4.0、5.0和6.4公里半径)的地理覆盖范围获得的,以评估这些干扰如何影响了韭菜的放弃。覆盖范围包括人为特征,例如农业发展,石油和天然气发展,规定的焚烧处理方法和道路;和环境特征,例如植被属性和野火。我们的组合模型包括半径为1.0 km的油气井数量,半径为1.0 km的野火面积百分比以及鼠尾草韭菜周围的半径为1.0 km的灌木丛高度变化。废弃(无人居住)的韭菜在1.0公里半径内的灌木高度变化为1.1倍,在1.0公里半径内野火百分比的变化为3.1倍,在1.0公里半径内的油气井数量为10.3倍相对于被占领的韭菜半径km在1.0公里半径内,石油和天然气井每增加1个单位,该模型平均沥水持久性的几率是0.66(90%CI:0.37-0.94),在1.0公里半径内,野火每增加1%的几率值为0.99(90%CI:0.45-1.08),为0.99(90%CI:0.85-1.12),灌木周围1.0公里半径内灌木高度的标准偏差每增加1个单位的几率为0.77(90%CI:0.45-1.08)。由于井的几率之比的90%置信区间不重叠1.0,因此我们建议此预测变量在模型平均估计中影响最大。与许多其他地区相比,BHB的油气储量较低。但是,我们的研究支持其他研究的结果,这些研究表明能源开发增加了韭菜的废弃率。我们的发现表明,保护工作应集中在最大限度地减少井的发展并在鼠尾草活跃的韭菜附近实施野火抑制策略。数字对象标识符http://dx.doi.org/10.1002/jwmg.417

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