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STEPWAT2: an individual‐based model for exploring the impact of climate and disturbance on dryland plant communities

机译: STEPWAT 2:一种基于个人的模型,用于探索气候和干扰对旱地植物群落的影响

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The combination of climate change and altered disturbance regimes is directly and indirectly affecting plant communities by mediating competitive interactions, resulting in shifts in species composition and abundance. Dryland plant communities, defined by low soil water availability and highly variable climatic regimes, are particularly vulnerable to climatic changes that exceed their historical range of variability. Individual‐based simulation models can be important tools to quantify the impacts of climate change, altered disturbance regimes, and their interaction on demographic and community‐level responses because they represent competitive interactions between individuals and individual responses to fluctuating environmental conditions. Here, we introduce STEPWAT 2, an individual plant‐based simulation model for exploring the joint influence of climate change and disturbance regimes on dryland ecohydrology and plant community composition. STEPWAT 2 utilizes a process‐based soil water model ( SOILWAT 2) to simulate available soil water in multiple soil layers, which plant individuals compete for based on the temporal matching of water and active root distributions with depth. This representation of resource utilization makes STEPWAT 2 particularly useful for understanding how changes in soil moisture and altered disturbance regimes will concurrently impact demographic and community‐level responses in drylands. Our goals are threefold: (1) to describe the core modules and functions within STEPWAT 2 (model description), (2) to validate STEPWAT 2 model output using field data from big sagebrush plant communities (model validation), and (3) to highlight the usefulness of STEPWAT 2 as a modeling framework for examining the impacts of climate change and disturbance regimes on dryland plant communities under future conditions (model application). To address goals 2 and 3, we focus on 15 sites that span the spatial extent of big sagebrush plant communities in the western United States. For goal 3, we quantify how climate change, fire, and grazing can interact to influence plant functional type biomass and composition. We use big sagebrush‐dominated plant communities to demonstrate the functionality of STEPWAT 2, as these communities are among the most widespread dryland ecosystems in North America.
机译:气候变化和变化的干扰机制的结合通过介导竞争相互作用直接和间接影响植物群落,从而导致物种组成和丰度发生变化。旱地植物群落的土壤可用水量低,气候制度变化多端,特别容易受到超出其历史变化范围的气候变化的影响。基于个体的模拟模型可以成为量化气候变化,扰动制度变化及其对人口和社区层面反应的影响的重要工具,因为它们代表了个体与个体对波动的环境条件的竞争相互作用。在这里,我们介绍STEPWAT 2,这是一个基于植物的模拟模型,用于探索气候变化和干扰机制对旱地生态水文学和植物群落组成的共同影响。 STEPWAT 2利用基于过程的土壤水模型(SOILWAT 2)来模拟多个土壤层中的可用土壤水,植物个体根据水和活动根的时间分布与深度的时间匹配来竞争植物个体。资源利用的这种表示方式使STEPWAT 2对于了解土壤水分的变化和变化的干扰方式将如何同时影响旱地人口和社区一级的响应特别有用。我们的目标有三方面:(1)描述STEPWAT 2中的核心模块和功能(模型描述),(2)使用来自大型鼠尾草植物群落的现场数据验证STEPWAT 2模型输出(模型验证),以及(3)强调STEPWAT 2作为模型框架的作用,该模型可用于检查未来条件下气候变化和干扰制度对旱地植物群落的影响(模型应用)。为了实现目标2和3,我们重点研究了15个地点,这些地点跨越了美国西部大型鼠尾草植物群落的空间范围。对于目标3,我们量化了气候变化,火灾和放牧如何相互作用以影响植物功能类型的生物量和组成。我们使用以鼠尾草为主导的大型植物群落来证明STEPWAT 2的功能,因为这些群落是北美最广泛的旱地生态系统之一。

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