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首页> 外文期刊>Transactions in GIS: TG >Estimating the Effects of Map Error on Habitat Delineation for the California Spotted Owl in Southern California
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Estimating the Effects of Map Error on Habitat Delineation for the California Spotted Owl in Southern California

机译：估计地图误差对南加州的加利福尼亚斑点猫头鹰栖息地轮廓的影响

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摘要

The reliability of habitat maps that have been generated using Geographic Information Systems (GIS) and image processing of remotely sensed data can be overestimated. Habitat suitability and spatially explicit population viability models are often based on these products without explicit knowledge of the effects of these mapping errors on model results. While research has considered errors in population modeling assumptions, there is no standardized method for measuring the effects of inaccuracies resulting from errors in landscape classification. Using landscape-scale maps of existing vegetation developed for the USDA Forest Service in southern California from Landsat Thematic Mapper satellite data and GIS modeling, we performed a sensitivity analysis to estimate how mapping errors in vegetation type, forest canopy cover, and tree crown size might affect delineation of suitable habitat for the California spotted owl (Strix occidentalis occidentalis). The resulting simulated uncertainty maps showed an increase in the estimated area of suitable habitat types. Further analysis measuring the fragmentation of the additional patches showed that they were too small to be useful as habitat areas.
机译：使用地理信息系统（GIS）生成的栖息地地图和遥感数据的图像处理的可靠性可能会被高估。生境适宜性和空间上明确的种群生存力模型通常基于这些产品，而没有明确了解这些映射误差对模型结果的影响。尽管研究已经考虑了人口建模假设中的错误，但是还没有标准化的方法来衡量景观分类错误所导致的不准确影响。利用Landsat Thematic Mapper卫星数据和GIS建模技术为加利福尼亚南部USDA森林服务局开发的现有植被的景观比例图，我们进行了敏感性分析，以估算植被类型，森林冠层覆盖率和树冠大小可能造成的制图误差影响到加利福尼亚斑点猫头鹰（Strix occidentalis occidentalis）合适栖息地的划定。生成的模拟不确定性图显示，合适栖息地类型的估计面积有所增加。进一步的分析测量了其他斑块的碎片，显示它们太小而无法用作栖息地。

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