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首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Landscape influences on stream fish assemblages across spatial scales in a northern Great Plains ecoregion.
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Landscape influences on stream fish assemblages across spatial scales in a northern Great Plains ecoregion.

机译:在大平原北部生态区中,景观对河流鱼类的影响跨空间尺度。

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摘要

We examined the relationship between multiple spatial scales of fish assemblage structure and land cover in streams of a northern Great Plains ecoregion. We used regional richness measurements, an index of biotic integrity (IBI), and nonmetric multidimensional scaling (NMS) ordination to characterize fish assemblages. These metrics were related to regional catchment landscape at two spatial scales (overall catchment, overall riparian) and then to a set of local subcatchments from within these catchments at three scales (overall subcatchment, overall riparian buffer, and reach). Relationships between catchment fish richness, IBI scores, and landscape predictors were strongest at the riparian scale, with the strongest single predictor being riparian forest (r2=0.63, P<0.01). NMS ordination analysis showed clear similarities between fish species assemblages in agriculturally dominated catchments and assemblages found in smaller headwater streams. At the same time, forested catchments and catchments with larger areas exhibited similar fish species assemblages. Our results indicate that both local and regional stream fish assemblages are structured by broader-scale landscape characteristics, with land cover providing a better indication of overall available habitat volume than catchment area or stream order.
机译:我们研究了大平原北部生态区河流中鱼类聚集结构的多个空间尺度与土地覆盖之间的关系。我们使用区域丰富度测量,生物完整性指数(IBI)和非度量多维标度(NMS)排序来表征鱼类组合。这些指标与两个空间尺度上的区域集水区景观有关(总体集水区,总体河岸带),然后与这些集水区内的一组局部子集水区的三个尺度(总体子集水区,总体河岸缓冲区和覆盖面)相关。在河岸尺度上,流域鱼类丰富度,IBI得分和景观预测因子​​之间的关系最强,其中最强的单一预测因子​​为河岸森林(r2 = 0.63,P <0.01)。 NMS排序分析显示,农业支配流域的鱼类物种组合与较小源头水流中的鱼类组合之间具有明显的相似性。同时,森林集水区和大面积集水区显示出相似的鱼类物种组合。我们的结果表明,本地和区域溪流鱼类组合都是由更广泛的景观特征构成的,与集水区或溪流顺序相比,土地覆盖可以更好地表明总体可用栖息地数量。

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