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理解人类干扰对多种生态响应:河流与潜在水流状态变化。

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

机构信息

Australian Rivers Institute, 170 Kessels Road, Griffith University, Nathan, Queensland 4111, Australia.

出版信息

Ecol Appl. 2012 Jan;22(1):250-63. doi: 10.1890/11-0963.1.

Abstract

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.

摘要

人为改变自然水流模式是对淡水生态系统和生物多样性的主要威胁。水文变化对河流生物群落结构和功能属性的影响预计是多方面且复杂的,可能无法用单一模型来描述。基于对关键水文和生态属性的现有认识,我们在澳大利亚相对欠发达的干湿热带地区的两个河流系统中,探索了一种水流调节方案对大型无脊椎动物群落组成和多样性的潜在影响。我们使用单个贝叶斯置信网络(BBN)来模拟在两种水流情景下,即当前接近自然的水流条件和水流调节,两种河流类型在旱季和雨季多个群落属性的潜在变化。然后,我们使用多维标度(MDS)排序来直观地总结和比较不同情景下群落及其环境的最可能属性。在旱季,水流调节方案对一种河流类型的生态响应提供的确定性较低,从而降低了直接从 BBN 输出进行预测的能力。然而,将 BBN 结果可视化在排序中突出了不同情景之间的相似性和差异,否则可能难以确定。特别是,MDS 表明,与当前低开发水平下预期的情况相比,水流调节将减少水文学和群落特征的季节性差异。我们的方法可能更广泛地适用于理解不同河流管理实践对生态系统的响应,并且应该很容易转移到其他生态系统或生物群落,为研究人员、管理者和决策者提供对潜在人为干扰对生态响应的增强理解。

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