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Assessing anthropogenic impact on boreal lakes with historical fish species distribution data and hydrogeochemical modeling

机译:利用历史鱼类分布数据和水文地球化学模型评估对北方湖泊的人为影响

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摘要

Quantifying the effects of human activity on the natural environment is dependent on credible estimates of reference conditions to define the state of the environment before the onset of adverse human impacts. In Europe, emission controls that aimed at restoring ecological status were based on hindcasts from process-based models or paleolimnological reconstructions. For instance, 1860 is used in Europe as the target for restoration from acidification concerning biological and chemical parameters. A more practical problem is that the historical states of ecosystems and their function cannot be observed directly. Therefore, we (i) compare estimates of acidification based on long-term observations of roach (Rutilus rutilus) populations with hindcast pH from the hydrogeochemical model MAGIC; (ii) discuss policy implications and possible scope for use of long-term archival data for assessing human impacts on the natural environment and (iii) present a novel conceptual model for interpreting the importance of physico-chemical and ecological deviations from reference conditions. Of the 85 lakes studied, 78 were coherently classified by both methods. In 1980, 28 lakes were classified as acidified with the MAGIC model, however, roach was present in 14 of these. In 2010, MAGIC predicted chemical recovery in 50% of the lakes, however roach only recolonized in five lakes after 1990, showing a lag between chemical and biological recovery. Our study is the first study of its kind to use long-term archival biological data in concert with hydrogeochemical modeling for regional assessments of anthropogenic acidification. Based on our results, we show how the conceptual model can be used to understand and prioritize management of physico-chemical and ecological effects of anthropogenic stressors on surface water quality.
机译:量化人类活动对自然环境的影响取决于对参考条件的可靠估计,以定义在人类不利影响发生之前的环境状态。在欧洲,旨在恢复生态状况的排放控制是基于基于过程的模型或古湖泊学重建的后遗症。例如,在欧洲使用1860作为从酸化中恢复有关生物和化学参数的目标。一个更实际的问题是无法直接观察生态系统的历史状态及其功能。因此,我们(i)根据对水文地球化学模型MAGIC的具有隐性pH值的蟑螂(Rutilus rut​​ilus)种群的长期观察结果,比较酸化的估计值; (ii)讨论政策影响以及使用长期档案数据评估人类对自然环境的影响的可能范围,以及(iii)提供新颖的概念模型来解释理化和生态偏离参考条件的重要性。在所研究的85个湖泊中,有78种通过两种方法被一致地分类。 1980年,通过MAGIC模型将28个湖泊归类为酸化湖泊,但是其中有14个出现了蟑螂。 2010年,MAGIC预测有50%的湖泊恢复了化学物质,但是蟑螂仅在1990年以后才在五个湖泊中重新定殖,这表明化学和生物恢复之间存在一定的滞后性。我们的研究是将长期档案生物学数据与水文地球化学模型一起用于人为酸化区域评估的同类研究。根据我们的结果,我们展示了如何使用概念模型来理解和优先考虑人为压力源对地表水水质的物理化学和生态影响的管理。

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