Using climate-fire analog mapping to inform climate change adaptation strategies for wildland fire in protected areas of the conterminous US

Adam Terando , Peng Gao , John A. Kupfer , Kevin S. Young , J. Kevin Hiers
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Abstract

Potential changes in wildland fire regimes due to anthropogenic climate change can be projected using data from climate models, but directly applying these meteorological variables to long-term planning and adaptive management activities may be difficult for decision makers. Analog mapping, in contrast, creates more intuitive assessments of changing fire regimes that also recognize the complex, multivariate, and multi-scalar nature of ecosystems. Here, we use data from 20 downscaled climate models under two climate forcing scenarios, Representative Concentration Pathways (RCP 4.5 and 8.5), to identify and map future climate-fire analogs for 655 protected areas in the conterminous U.S. based on annual temperature, cumulative precipitation amount and seasonality, and fire regime potentials derived from a simple process-based fire frequency model. Patterns of analogs were heavily influenced by gradients in latitude and topography, with longer time frames (end-of-century conditions) and the more extreme climate forcing scenario resulting in greater analog distances and more ensemble entropy (i.e., less consensus among climate models regarding the closest analog for a given management unit). Finer scale analyses for three protected areas (Yellowstone and Great Smoky Mountains National Parks, White Mountain National Forest) illustrate how climate-fire analog mapping can improve insight into the types of ecosystem responses that might occur under similar management conditions. Federally protected areas such as national parks, forests, and wildlife refuges have long served as reference sites for the study of fire regimes, a role that is likely to continue because many of these units are managed to allow at least some ecosystem processes to operate independently. The results suggest that analog mapping approaches are well-suited as part of qualitative assessments within climate- and fire-aware adaptive management processes. The use of analogs to depict relatable, real-world depictions of possible ecosystem changes in a given place, can help managers make more strategic choices about when and where to resist, accept, or direct climate change-driven ecological change.

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利用气候-火灾模拟图为美国本土保护区的野地火灾气候变化适应战略提供信息
可以利用气候模型中的数据预测人为气候变化可能导致的野外火情变化,但直接将这些气象变量应用到长期规划和适应性管理活动中可能会给决策者带来困难。与此相反,模拟绘图可以对不断变化的火灾机制进行更直观的评估,同时还能认识到生态系统的复杂性、多变量性和多尺度性。在此,我们使用了 20 个降尺度气候模型在两种气候强迫情景(代表性浓度路径(RCP 4.5 和 8.5))下的数据,根据年气温、累积降水量和季节性,以及从基于过程的简单火灾频率模型中得出的火灾机制潜力,识别并绘制了美国本土 655 个保护区的未来气候-火灾模拟图。类比模式受到纬度和地形梯度的严重影响,较长的时间框架(本世纪末的条件)和更极端的气候强迫情景导致类比距离更远,集合熵更大(即气候模式之间就特定管理单元的最近类比达成的共识更少)。对三个保护区(黄石公园和大烟山国家公园、白山国家森林公园)进行的更精细的尺度分析说明了气候-火灾模拟图可如何提高对类似管理条件下可能出现的生态系统响应类型的洞察力。长期以来,国家公园、森林和野生动物保护区等联邦保护区一直是研究火灾机制的参考地点,这种作用很可能会持续下去,因为这些保护区中的许多单位在管理上至少允许某些生态系统过程独立运行。研究结果表明,模拟绘图方法非常适合作为气候和火灾意识适应性管理过程中定性评估的一部分。使用模拟图来描绘特定地方可能发生的生态系统变化的现实世界,可帮助管理人员在何时何地抵制、接受或引导气候变化驱动的生态变化方面做出更具战略性的选择。
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