Hochard Jacob, Finnoff David
Department of Economics, Institute for Coastal Science and Policy, East Carolina University, Greenville, NC 27858, United States.
Department of Economics and Finance, University of Wyoming, Laramie, WY 82071, United States.
J Theor Biol. 2017 May 7;420:41-52. doi: 10.1016/j.jtbi.2017.02.001. Epub 2017 Feb 8.
Gray wolves (Canis lupus) are managed for competing uses in the Greater Yellowstone Ecosystem (GYE). Tourism benefits Yellowstone National Park (YNP) visitors while trophy hunting benefits hunters outside of the park. We investigate the policy scope of gray wolf management across jurisdictional boundaries by incorporating three foundations of the behavioral ecology of wolves: refuge-seeking behavior, optimal foraging group size and territoriality. Tradeoffs between and within consumptive and non-consumptive human benefits and wolf population fitness and life history indicators are quantified as a set of elasticities, providing clear implications to resource managers. Our approach highlights that hunting intensity affects the provision of consumptive and non-consumptive human benefits across jurisdictional boundaries and ought to be managed accordingly. We also show that population levels are an incomplete indicator of species fitness, which may depend on how hunting policies impact underlying group ecology. Our findings suggest traditional optimization approaches to wildlife management may lead to suboptimal policy recommendations when the boundaries on the natural system are oversimplified. Highlighting the human element of wildlife management, we show that understanding tourist and hunter responses to wildlife population abundances is critical to balancing provision of consumptive and non-consumptive human uses.
在大黄石生态系统(GYE)中,灰狼(Canis lupus)因多种用途而受到管理。旅游业使黄石国家公园(YNP)的游客受益,而战利品狩猎则使公园外的猎人受益。我们通过纳入狼的行为生态学的三个基础:避难行为、最佳觅食群体规模和领地性,来研究跨管辖边界的灰狼管理政策范围。消费性和非消费性人类利益与狼种群适应性和生活史指标之间以及内部的权衡被量化为一组弹性,为资源管理者提供了明确的启示。我们的方法强调,狩猎强度会影响跨管辖边界的消费性和非消费性人类利益的提供,因此应相应地进行管理。我们还表明种群数量是物种适应性的一个不完整指标,物种适应性可能取决于狩猎政策如何影响潜在的群体生态。我们的研究结果表明,当自然系统的边界被过度简化时,传统的野生动物管理优化方法可能会导致次优政策建议。突出野生动物管理中的人为因素,我们表明了解游客和猎人对野生动物种群数量的反应对于平衡消费性和非消费性人类用途的提供至关重要。