Ecol Appl. 2016 Jun;26(4):1018-29. doi: 10.1890/15-0509.
One challenge in the effort to conserve biodiversity is identifying where to prioritize resources for active land management. Cost-benefit analyses have been used successfully as a conservation tool to identify sites that provide the greatest conservation benefit per unit cost. Our goal was to apply cost-benefit analysis to the question of how to prioritize land management efforts, in our case the application of prescribed fire to natural landscapes in Wisconsin, USA. We quantified and mapped frequently burned communities and prioritized management units based on a suite of indices that captured ecological benefits, management effort, and the feasibility of successful long-term management actions. Data for these indices came from LANDFIRE, Wisconsin's Wildlife Action Plan, and a nationwide wildland-urban interface assessment. We found that the majority of frequently burned vegetation types occurred in the southern portion of the state. However, the highest priority areas for applying prescribed fire occurred in the central, northwest, and northeast portion of the state where frequently burned vegetation patches were larger and where identified areas of high biological importance area occurred. Although our focus was on the use of prescribed fire in Wisconsin, our methods can be adapted to prioritize other land management activities. Such prioritization is necessary to achieve the greatest possible benefits from limited funding for land management actions, and our results show that it is feasible at scales that are relevant for land management decisions.
保护生物多样性的一个挑战是确定在何处优先考虑资源以进行积极的土地管理。成本效益分析已成功用作保护工具,以确定每个单位成本提供最大保护效益的地点。我们的目标是将成本效益分析应用于如何优先考虑土地管理工作的问题,就我们而言,是将规定的火灾应用于美国威斯康星州的自然景观。我们根据一套捕获生态效益、管理工作和成功实施长期管理行动的可行性的指标,对经常燃烧的社区进行量化和制图,并对管理单位进行优先级排序。这些指标的数据来自 LANDFIRE、威斯康星州的野生动物行动计划和全国的荒地-城市界面评估。我们发现,经常燃烧的植被类型主要分布在该州的南部。然而,应用规定性火灾的优先级最高的地区位于该州的中部、西北部和东北部,那里经常燃烧的植被斑块更大,并且存在确定的高生物重要区域。虽然我们的重点是在威斯康星州使用规定性火灾,但我们的方法可以适应其他土地管理活动的优先级排序。这种优先级排序对于从有限的土地管理行动资金中获得最大可能的收益是必要的,我们的结果表明,在与土地管理决策相关的规模上,这是可行的。