The role of rewilding in mitigating hydrological extremes: State of the evidence

The role of rewilding in mitigating hydrological extremes: State of the evidence
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DOI:
10.1002/wat2.1710
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发表时间:
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期刊:
Wiley Interdisciplinary Reviews: Water
影响因子:
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通讯作者:
Gemma L. Harvey;Adam T. Hartley;A. Henshaw;Zareena Khan;Stewart J. Clarke;Christopher J. Sandom;Judy England;Sara King;Orlando Venn
Gemma L. Harvey;Adam T. Hartley;A. Henshaw;Zareena Khan;Stewart J. Clarke;Christopher J. Sandom;Judy England;Sara King;Orlando Venn
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其他
文献类型:
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作者:
Gemma L. Harvey;Adam T. Hartley;A. Henshaw;Zareena Khan;Stewart J. Clarke;Christopher J. Sandom;Judy England;Sara King;Orlando Venn

文献摘要

相似文献

景观重新开垦有可能通过允许自然过程发挥作用来帮助缓解极端的水文现象。我们的系统回顾评估了重新开垦驱动的高流量和低流量缓解的证据基础。这篇综述揭示了缺乏直接解决野生动物繁殖问题的研究,但强调了在模拟环境中的研究,这些研究可以谨慎地指出变化的性质。缺乏能够更深入地检查时间轨迹和遗产影响的事前-事后研究,也缺乏对重新野生项目中常见的灌木和灌木生境的研究。高流量的证据是低流量的两倍多,只有不到三分之一的研究同时涉及高流量和低流量,限制了我们对共同利益和对比影响的理解。与流量计时变量相比,文献中更好地描述了流量大小变量,并且更加强调对高流量的建模和对低流量的直接测量。大多数高流量研究报告了缓解效果,但影响的大小存在差异,也有一些例外。低流量变化的性质更为复杂,表明与某些轨迹相关的低流量风险增加的可能性更大,但证据基础非常有限。我们建议未来的研究目标是:捕捉给定类型变化对高流量和低流量极值的影响;分析流量极值的大小和时间特征;最好使用完全的控制-后-影响设计来检查时间轨迹(数据之前和之后)。
Landscape rewilding has the potential to help mitigate hydrological extremes by allowing natural processes to function. Our systematic review assessed the evidence base for rewilding‐driven mitigation of high and low flows. The review uncovers a lack of research directly addressing rewilding, but highlights research in analogue contexts which can, with caution, indicate the nature of change. There is a lack of before‐after studies that enable deeper examination of temporal trajectories and legacy effects, and a lack of research on the scrub and shrubland habitats common in rewilding projects. Over twice as much evidence is available for high flows compared to low flows, and fewer than one third of studies address high and low flows simultaneously, limiting our understanding of co‐benefits and contrasting effects. Flow magnitude variables are better represented within the literature than flow timing variables, and there is greater emphasis on modeling for high flows, and on direct measurement for low flows. Most high flow studies report a mitigating effect, but with variability in the magnitude of effect, and some exceptions. The nature of change for low flows is more complex and suggests a higher potential for increased low flow risks associated with certain trajectories but is based on a very narrow evidence base. We recommend that future research aims to: capture effects on both high and low flow extremes for a given type of change; analyze both magnitude and timing characteristics of flow extremes; and examine temporal trajectories (before and after data) ideally using a full before‐after‐control‐impact design.