Coates Peter S, Ricca Mark A, Prochazka Brian G, Brooks Matthew L, Doherty Kevin E, Kroger Travis, Blomberg Erik J, Hagen Christian A, Casazza Michael L
US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, CA 95620;
US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, CA 95620.
Proc Natl Acad Sci U S A. 2016 Nov 8;113(45):12745-12750. doi: 10.1073/pnas.1606898113. Epub 2016 Oct 25.
Iconic sagebrush ecosystems of the American West are threatened by larger and more frequent wildfires that can kill sagebrush and facilitate invasion by annual grasses, creating a cycle that alters sagebrush ecosystem recovery post disturbance. Thwarting this accelerated grass-fire cycle is at the forefront of current national conservation efforts, yet its impacts on wildlife populations inhabiting these ecosystems have not been quantified rigorously. Within a Bayesian framework, we modeled 30 y of wildfire and climatic effects on population rates of change of a sagebrush-obligate species, the greater sage-grouse, across the Great Basin of western North America. Importantly, our modeling also accounted for variation in sagebrush recovery time post fire as determined by underlying soil properties that influence ecosystem resilience to disturbance and resistance to invasion. Our results demonstrate that the cumulative loss of sagebrush to direct and indirect effects of wildfire has contributed strongly to declining sage-grouse populations over the past 30 y at large spatial scales. Moreover, long-lasting effects from wildfire nullified pulses of sage-grouse population growth that typically follow years of higher precipitation. If wildfire trends continue unabated, model projections indicate sage-grouse populations will be reduced to 43% of their current numbers over the next three decades. Our results provide a timely example of how altered fire regimes are disrupting recovery of sagebrush ecosystems and leading to substantial declines of a widespread indicator species. Accordingly, we present scenario-based stochastic projections to inform conservation actions that may help offset the adverse effects of wildfire on sage-grouse and other wildlife populations.
美国西部标志性的山艾树生态系统受到规模更大、频率更高的野火威胁,这些野火会烧死山艾树,并促使一年生草本植物入侵,从而形成一个循环,改变山艾树生态系统受干扰后的恢复进程。阻止这种加速的草火循环是当前国家保护工作的首要任务,但其对栖息在这些生态系统中的野生动物种群的影响尚未得到严格量化。在贝叶斯框架内,我们模拟了30年来野火和气候对北美西部大盆地一种依赖山艾树生存的物种——艾草松鸡种群变化率的影响。重要的是,我们的模型还考虑了火灾后山艾树恢复时间的变化,这是由影响生态系统对干扰的恢复力和对入侵的抵抗力的潜在土壤特性决定的。我们的结果表明,在过去30年的大空间尺度上,野火的直接和间接影响导致的山艾树累计损失对艾草松鸡种群数量下降起到了很大作用。此外,野火的长期影响抵消了通常在降水较多年份之后出现的艾草松鸡种群增长脉冲。如果野火趋势持续不减,模型预测表明,在未来三十年里,艾草松鸡种群数量将减少到目前数量的43%。我们的结果及时例证了火灾模式的改变如何扰乱山艾树生态系统的恢复,并导致一种广泛分布的指示物种大幅减少。因此,我们提出基于情景的随机预测,为可能有助于抵消野火对艾草松鸡和其他野生动物种群不利影响的保护行动提供参考。