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利用地理信息系统(GIS)开发的河岸野生动物栖息地评估方案。

A riparian wildlife habitat evaluation scheme developed using GIS.

作者信息

Iverson L R, Szafoni D L, Baum S E, Cook E A

机构信息

USDA Forest Service, Northeastern Research Station, 359 Main Road, Delaware, Ohio 43015, USA.

出版信息

Environ Manage. 2001 Nov;28(5):639-54. doi: 10.1007/s002670010249.

Abstract

To evaluate riparian habitat for wildlife, we used a geographic information system (GIS) that prioritized individual streams (for acquisition or management) by habitat ranking. We demonstrate this methodology for the Vermilion River basin in east-central Illinois, USA. Three data sets were used to evaluate land cover encompassing 300 m on either side of the streams: (1) the US Geological Survey's land use and land cover information (LUDA), (2) land cover manually digitized from the National High Altitude Photography (NHAP) program, and (3) Landsat Thematic Mapper (TM) data classified into land cover. Each of 30 tributaries in the study area was ranked for habitat according to the data contained in each data set, and results were compared. Habitat ranking schemes were devised and analysis performed for three species guilds: forest, grassland, and mixed successional species. TM and NHAP each differentiated habitat scores (for forest, grassland, and mixed successional guilds) among tributaries in a similar and suitable way, while LUDA was not suitable, due to the coarse resolution of the data. Overall, it was shown that the methodology is suitable to rank streams based on riparian habitat quality. Even though more work is needed to test and verify the method, the project has shown the potential for such techniques to assist in evaluating, tracking, and improving the management of riparian wildlife resources. The method can easily be applied over large areas such as states if TM-based land cover and stream data are available.

摘要

为评估河岸野生动物栖息地,我们使用了地理信息系统(GIS),该系统通过栖息地排名对各条溪流(以便进行收购或管理)进行优先排序。我们在美国伊利诺伊州中东部的朱红河流域展示了这种方法。使用了三个数据集来评估溪流两侧各300米范围内的土地覆盖情况:(1)美国地质调查局的土地利用和土地覆盖信息(LUDA),(2)从国家高海拔摄影(NHAP)计划中手动数字化的土地覆盖,以及(3)分类为土地覆盖的陆地卫星专题制图仪(TM)数据。根据每个数据集中包含的数据,对研究区域内的30条支流的栖息地进行排名,并比较结果。为三个物种群落设计了栖息地排名方案并进行了分析:森林、草原和混合演替物种。TM和NHAP以相似且合适的方式区分了各支流间的栖息地得分(针对森林、草原和混合演替群落),而LUDA由于数据分辨率粗糙并不适用。总体而言,结果表明该方法适用于根据河岸栖息地质量对溪流进行排名。尽管还需要更多工作来测试和验证该方法,但该项目已显示出此类技术在协助评估、跟踪和改善河岸野生动物资源管理方面的潜力。如果有基于TM的土地覆盖和溪流数据,该方法可轻松应用于大面积区域,如各州。

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