首页> 外文期刊>Water >Using a Geospatial Model to Relate Fluvial Geomorphology to Macroinvertebrate Habitat in a Prairie River—Part 2: Matching Family-Level Indices to Geomorphological Response Units (GRUs)
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Using a Geospatial Model to Relate Fluvial Geomorphology to Macroinvertebrate Habitat in a Prairie River—Part 2: Matching Family-Level Indices to Geomorphological Response Units (GRUs)

机译:使用地理空间模型将河流地貌学与草原河流域的无脊椎动物栖息地相关联:第2部分:将家庭水平指标与地貌响应单位(GRU)匹配

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Many rivers are intensely managed due to anthropogenic influences such as dams, channelization, and water provision for municipalities, agriculture, and industry. With this growing pressure on fluvial systems comes a greater need to evaluate the state of their ecosystems. The purpose of this research is to use a geospatial model of the Qu’Appelle River in Saskatchewan to distinguish instream macroinvertebrate habitats at the family level. River geomorphology was assessed through the use of ArcGIS and digital elevation models; with these tools, the sinuosity, slope, fractal dimension, and stream width of the river were processed. Subsequently, Principal Component Analysis, a clustering technique, revealed areas with similar sets of geomorphological characteristics. These similar typology sequences were then grouped into geomorphological response units (GRUs), designated a color, and mapped into a geospatial model. Macroinvertebrate data was then incorporated to reveal several relationships to the model. For instance, certain GRUs contained more highly sensitive species and healthier diversity levels than others. Future possibilities for expanding on this project include incorporating stable isotope data to evaluate the food-web structure within the river basin. Although GRUs have been very successful in identifying fish habitats in other studies, the macroinvertebrates may be too sessile and their habitat too localized to be identified by such large river units. Units may need to be much shorter (250 m) to better identify macroinvertebrate habitat.
机译:由于人为因素的影响,例如大坝,渠道化以及为市政,农业和工业提供的水,许多河流得到了严格的管理。随着对河流系统的日益增长的压力,对评估其生态系统状态的需求也越来越大。这项研究的目的是使用萨斯喀彻温省Qu'Appelle河的地理空间模型来区分家庭一级的上游无脊椎动物栖息地。通过使用ArcGIS和数字高程模型评估了河流的地貌;使用这些工具,可以处理河流的弯曲度,斜率,分形维数和河流宽度。随后,使用聚类技术“主成分分析”揭示了具有相似地貌特征集的区域。然后将这些相似的类型序列分组为地貌响应单元(GRU),指定颜色,然后映射到地理空间模型中。然后合并了无脊椎动物的数据以揭示与模型的几种关系。例如,某些GRU包含比其他GRU更敏感的物种和更健康的多样性水平。对该项目进行扩展的未来可能性包括合并稳定的同位素数据,以评估流域内的食物网结构。尽管在其他研究中,GRU在识别鱼类栖息地方面非常成功,但大型无脊椎动物可能过于固执,其栖息地过于局限,无法被如此大型的河流单位识别。为了更好地识别大型无脊椎动物栖息地,单位可能需要更短(250 m)。

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