Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA.
Cornell Atkinson Center for Sustainability, Cornell University, Ithaca, New York, USA.
Ecol Appl. 2023 Jun;33(4):e2853. doi: 10.1002/eap.2853. Epub 2023 Apr 24.
Spatial and temporal variation in fire characteristics-termed pyrodiversity-are increasingly recognized as important factors that structure wildlife communities in fire-prone ecosystems, yet there have been few attempts to incorporate pyrodiversity or post-fire habitat dynamics into predictive models of animal distributions and abundance to support post-fire management. We use the black-backed woodpecker-a species associated with burned forests-as a case study to demonstrate a pathway for incorporating pyrodiversity into wildlife habitat assessments for adaptive management. Employing monitoring data (2009-2019) from post-fire forests in California, we developed three competing occupancy models describing different hypotheses for habitat associations: (1) a static model representing an existing management tool, (2) a temporal model accounting for years since fire, and (3) a temporal-landscape model which additionally incorporates emerging evidence from field studies about the influence of pyrodiversity. Evaluating predictive ability, we found superior support for the temporal-landscape model, which showed a positive relationship between occupancy and pyrodiversity and interactions between habitat associations and years since fire. We incorporated the new temporal-landscape model into an RShiny application to make this decision-support tool accessible to decision-makers.
火特性的时空变化——即火多样性——越来越被认为是影响火灾多发生态系统中野生动物群落结构的重要因素,但很少有人试图将火多样性或火灾后栖息地动态纳入动物分布和丰度的预测模型中,以支持火灾后管理。我们以黑背啄木鸟(一种与燃烧森林有关的物种)为例,展示了将火多样性纳入野生动物栖息地评估以进行适应性管理的途径。利用加利福尼亚州火灾后森林的监测数据(2009-2019 年),我们开发了三个具有竞争力的占有率模型,描述了不同的栖息地关联假设:(1)一个代表现有管理工具的静态模型,(2)一个考虑火灾后年份的时间模型,以及(3)一个额外纳入有关火多样性影响的实地研究新证据的时间景观模型。在评估预测能力时,我们发现对时间景观模型的支持更好,该模型显示出占有率和火多样性之间的正相关关系,以及栖息地关联和火灾后年份之间的相互作用。我们将新的时间景观模型纳入了一个 RShiny 应用程序中,以使决策者能够使用这种决策支持工具。