R code, spatial and tabular data to fully reproduce STEPS simulations of population change for common brushtail possum, grassland melomys and northern brown bandicoot in northern Australia
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The development of effective fire management for biodiversity conservation is a global challenge. The highly dynamic nature of fire, the difficulty in replicating âreal-worldâ fire experiments, and the need to understand population changes at large spatiotemporal scales make computer simulations particularly useful for identifying optimal fire management regimes for biodiversity conservation. We aimed to develop a flexible modelling approach with which to investigate how the spatiotemporal application of fire (i.e. management scenarios) influences savanna biodiversity. We used existing data from a landscape-scale fire experiment to develop population simulations for the common brushtail possum (Trichosurus vulpecula), grassland melomys (Melomys burtoni) and northern brown bandicoot (Isoodon macrourus) across the Kapalga area of Kakadu National Park in northern Australia. We simulated how populations were expected to change between 1995 and 2015 in response to the fire pat...
有效开展面向生物多样性保护(biodiversity conservation)的火灾管理是一项全球性挑战。火灾具有极强的动态特性,难以复刻真实世界的火灾实验,且需在大时空尺度(large spatiotemporal scales)上解析种群变化规律,上述因素使得计算机模拟(computer simulations)在筛选适配生物多样性保护的最优火灾管理方案(fire management regimes)时尤为关键。 本研究旨在开发一种灵活的建模方法(modelling approach),以探究火灾的时空施用方式(spatiotemporal application)(即管理情景)对稀树草原(savanna)生物多样性的影响。我们借助一项景观尺度火灾实验(landscape-scale fire experiment)的现有数据,针对澳大利亚北部卡卡杜国家公园(Kakadu National Park)卡帕尔加(Kapalga)区域的普通刷尾负鼠(Trichosurus vulpecula)、草地裸尾鼠(Melomys burtoni)和北棕袋狸(Isoodon macrourus)三个物种种群构建了种群模拟模型(population simulations)。我们模拟了1995年至2015年间,种群在响应火灾模式……时的预期变化情况。



