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A scale-sensitive connectivity analysis to identify ecological networks and conservation value in river networks

机译:一种规模敏感的连接分析,以识别河流网络中生态网络和保护价值

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摘要

Existing methods for connectivity analysis still encounter difficulties in explaining functional relationships between network structure and ecological patterns over larger territories or complex structures like dendritic river networks. We propose a method that addresses the problem of scale and resolution in the connectivity analysis of dendritic network structures, illustrated here for the re-colonization of the French Loire river basin by the European otter. The ecological niche factor approach is applied to infer favourable habitat in the river network based on large scale data of land use and hydro-morphology of river segments for the entire river basin. These analyses identified the stressors to the riparian zone of channel straightening, urbanisation and forest fragmentation as the principal factors explaining otter occurrence. Using this estimate of habitat favourability, we used the Integral Index of Connectivity to quantify habitat availability and connectivity in the dendritic river network. When we calculate the integral index of connectivity over different spatial extents by constraining network distances, the scale-sensitivity of the network’s connectivity emerges. Accounting for high mobility by entering larger network distances in the analysis identifies conservation networks and priorities mainly in downstream parts of the river basin, whereas with smaller network distances, more restricted high quality areas in central and upstream parts are highlighted. The presented approach performed better than distribution modelling approaches in explaining species occurrence over the river network and confirms the crucial aspect of connectivity in otter re-colonization.
机译:现有的连接分析方法仍然遇到困难,以解释网络结构与大型地区或复杂结构等地区的生态模式之间的功能关系。我们提出了一种方法,解决树突网络结构的连接分析中的规模和分辨率的方法,用于欧洲水獭的法国卢瓦尔河流域的重新定位。基于整个河流盆地河段土地利用和水力学的大规模数据,应用生态利基因子方法在河流网络中推断出良好的栖息地。这些分析将压力源于渠道矫直,城市化和森林碎片的河流区,作为解释水獭发生的主要因素。使用这种栖息地的估计,我们使用了连续性的积分指标来量化树突河网络中的栖息地可用性和连接。当我们通过约束网络距离计算不同空间范围内的连接的积分指数时,网络连接的比例敏感性出现。通过在分析中输入较大的网络距离来核算高移动性,识别河流流域下游部分的保护网络和优先级,而网络距离较小,则突出显示中央和上游部件的高质量区域。所提出的方法比解释河网的物种发生,更好地执行了分布建模方法,并确认水獭重新定位中的连通性的关键方面。

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