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Identifying historical and future global change drivers that place species recovery at risk

机译:确定使物种恢复面临风险的历史和未来全球变化驱动因素

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摘要

Abstract Ecosystem management in the face of global change requires understanding how co‐occurring threats affect species and communities. Such an understanding allows for effective management strategies to be identified and implemented. An important component of this is differentiating between factors that are within (e.g. invasive predators) or outside (e.g. drought, large wildfires) of a local manager's control. In the global biodiversity hotspot of south‐western Australia, small‐ and medium‐sized mammal species are severely affected by anthropogenic threats and environmental disturbances, including invasive predators, fire, and declining rainfall. However, the relative importance of different drivers has not been quantified. We used data from a long‐term monitoring program to fit Bayesian state‐space models that estimated spatial and temporal changes in the relative abundance of four threatened mammal species: the woylie (Bettongia penicillata), chuditch (Dasyurus geoffroii), koomal (Trichosurus vulpecula) and quenda (Isoodon fusciventor). We then use Bayesian structural equation modelling to identify the direct and indirect drivers of population changes, and scenario analysis to forecast population responses to future environmental change. We found that habitat loss or conversion and reduced primary productivity (caused by rainfall declines) had greater effects on species' spatial and temporal population change than the range of fire and invasive predator (the red fox Vulpes vulpes) management actions observed in the study area. Scenario analysis revealed that a greater extent of severe fire and further rainfall declines predicted under climate change, operating in concert are likely to further reduce the abundance of these species, but may be mitigated partially by invasive predator control. Considering both historical and future drivers of population change is necessary to identify the factors that risk species recovery. Given that both anthropogenic pressures and environmental disturbances can undermine conservation efforts, managers must consider how the relative benefit of conservation actions will be shaped by ongoing global change.
机译:摘要 面对全球变化,生态系统管理需要了解同时发生的威胁如何影响物种和群落。这种理解有助于确定和实施有效的管理战略。其中一个重要组成部分是区分当地管理者控制范围内(例如入侵性捕食者)或外部(例如干旱、大型野火)的因素。在澳大利亚西南部的全球生物多样性热点地区,中小型哺乳动物物种受到人为威胁和环境干扰的严重影响,包括入侵捕食者、火灾和降雨量减少。然而,不同驱动因素的相对重要性尚未量化。我们使用来自长期监测计划的数据来拟合贝叶斯状态空间模型,该模型估计了四种受威胁哺乳动物物种相对丰度的空间和时间变化:woylie (Bettongia penicillata)、chuditch (Dasyurus geoffroii)、koomal (Trichosurus vulpecula) 和 quenda (Isoodon fusciventor)。然后,我们使用贝叶斯结构方程模型来识别种群变化的直接和间接驱动因素,并使用情景分析来预测种群对未来环境变化的响应。我们发现,与在研究区观察到的火灾和入侵捕食者(赤狐Vulpes vulpes)管理行动的范围相比,栖息地丧失或转换以及初级生产力下降(由降雨量减少引起)对物种时空种群变化的影响更大。情景分析表明,在气候变化下,预计更大程度的严重火灾和降雨量进一步下降,协同行动可能会进一步减少这些物种的丰度,但可以通过入侵性捕食者控制来部分缓解。考虑种群变化的历史和未来驱动因素对于确定物种恢复的风险因素是必要的。鉴于人为压力和环境干扰都会破坏保护工作,管理者必须考虑持续的全球变化将如何塑造保护行动的相对效益。

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