首页> 外文期刊>Ecological engineering: The Journal of Ecotechnology >Relationships between stream ecosystem properties and landscape composition at multiple spatial scales along a heavily polluted stream in China: Implications for restoration
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Relationships between stream ecosystem properties and landscape composition at multiple spatial scales along a heavily polluted stream in China: Implications for restoration

机译:中国重度污染河流中不同空间尺度河流生态系统特性与景观组成之间的关系:恢复意义

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Restoration in seriously polluted streams has become an urgent issue in developing countries. In this study, we attempted to propose an effective restoration approach in a heavily polluted stream in China with the aid of relationships between ecosystem properties and landscape across multiple scales. Land cover and physical geometry at a fine gradient of spatial scales (doubling 60-960 m and whole catchment) were included as landscape predictive variables, while water quality and macroinvertebrate were involved as ecosystem response variables. The strong relationship between the stream properties and surrounding landscape indicated the stream still maintain its resilience, that is, the capacity to recover from disturbance without changing its fundamental functions and state, even undergoing severe pollution. Further, the primary predictors for water quality were agriculture and urban land, with most effective scale at local 60 m buffer, but independence tests pointed out most correlations between agriculture and water quality were attributed to urban land and spatial covariation. No direct association was detected between macroinvertebrate and surrounding land cover at all scales, but macroinvertebrate exhibited significant relationship with physical variables at in-stream habitat scale. Overall, it was quite possible for this heavily polluted stream to go back to its initial health state if appropriate restorations were taken. The extent and intensity of riparian urbanizations were high priority factors when performing water quality improvement, and increasing habitat complexity and heterogeneity at in-stream scale was crucial for increasing macroinvertebrates diversity. (C) 2016 Published by Elsevier B.V.
机译:恢复严重污染的河流已经成为发展中国家的当务之急。在这项研究中,我们试图借助生态系统特性和跨多个尺度的景观之间的关系,提出一种在中国高污染河流中的有效恢复方法。土地覆盖和物理几何形状在空间尺度上的细微梯度(加倍60-960 m和整个流域)被包括为景观预测变量,而水质和大型无脊椎动物则被作为生态系统响应变量。河流特性与周围景观之间的密切关系表明河流仍保持其弹性,即从干扰中恢复的能力而不会改变其基本功能和状态,甚至遭受严重的污染。此外,水质的主要预测指标是农业和城市土地,最有效的尺度是当地60 m缓冲区,但独立性测试指出,农业与水质量之间的大多数相关性都归因于城市土地和空间协变。在所有尺度上都没有发现大型无脊椎动物与周围土地覆盖之间的直接关联,但是大型无脊椎动物与河流内生境尺度上的物理变量显示出显着的关系。总体而言,如果采取了适当的修复措施,污染严重的溪流很有可能会恢复到最初的健康状态。在改善水质的过程中,河岸城市化的程度和强度是高度优先的因素,而在河流规模上增加栖息地的复杂性和异质性对于增加大型无脊椎动物的多样性至关重要。 (C)2016由Elsevier B.V.发布

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