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Understanding multiple ecological responses to anthropogenic disturbance: rivers and potential flow regime change

机译:了解对人为干扰的多种生态响应:河流和潜在流量变化

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摘要

Human-induced alteration of the natural flow regime is a major threat to freshwater ecosystems and biodiversity. The effects of hydrological alteration on the structural and functional attributes of riverine communities are expected to be multiple and complex, and they may not be described easily by a single model. Based on existing knowledge of key hydrological and ecological attributes, we explored potential effects of a flow-regulation scenario on macroinvertebrate assemblage composition and diversity in two river systems in Australia's relatively undeveloped wet-dry tropics. We used a single Bayesian belief network (BBN) to model potential changes in multiple assemblage attributes within each river type during dry and wet seasons given two flow scenarios: the current, near-natural flow condition, and flow regulation. We then used multidimensional scaling (MDS) ordination to visually summarize and compare the most probable attributes of assemblages and their environment under the different scenarios. The flow-regulation scenario provided less certainty in the ecological responses of one river type during the dry season, which reduced the ability to make predictions from the BBN outputs directly. However, visualizing the BBN results in an ordination highlighted similarities and differences between the scenarios that may have been otherwise difficult to ascertain. In particular, the MDS showed that flow regulation would reduce the seasonal differentiation in hydrology and assemblage characteristics that is expected under the current low level of development. Our approach may have wider application in understanding ecosystem responses to different river management practices and should be transferred easily to other ecosystems or biotic assemblages to provide researchers, managers, and decision makers an enhanced understanding of ecological responses to potential anthropogenic disturbance.
机译:人为改变自然流量的方式是对淡水生态系统和生物多样性的主要威胁。水文改变对河流社区的结构和功能属性的影响预计是多重而复杂的,它们可能很难用一个模型简单地描述。基于对关键水文和生态属性的现有知识,我们探讨了流量调节方案对澳大利亚相对欠发达的干湿热带地区两个河流系统中的大型无脊椎动物组合组成和多样性的潜在影响。我们使用单个贝叶斯信念网络(BBN)来模拟干旱和雨季期间每种河流类型内多种组合属性在当前流量,近自然流量条件和流量调节条件下的潜在变化。然后,我们使用多维标度(MDS)排序来直观地总结和比较组合在不同情况下及其环境的最可能属性。在枯水期,流量调节方案无法确定一种河流类型的生态响应,这降低了直接根据BBN产出进行预测的能力。但是,可视化BBN会导致协调突出显示方案之间的相似性和差异,而这些差异原本很难确定。 MDS特别指出,流量调节将减少水文和组合特征的季节性差异,这在目前的低水平发展下是可以预期的。我们的方法可能在理解生态系统对不同河流管理实践的反应中具有更广泛的应用,并且应该容易地转移到其他生态系统或生物群落中,以使研究人员,管理人员和决策者对潜在的人为干扰的生态反应有更深入的了解。

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