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A comparison of forest resource inventory, provincial land cover maps and field surveys for wildlife habitat analysis in the Great Lakes St. Lawrence forest.

机译:森林资源清单,省级土地覆盖图和野外调查的比较,以分析大湖圣劳伦斯森林中的野生动植物。

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In a portion of central Ontario, Canada we assessed the classification agreement between field-based estimates of forest stand composition and each of two mapped data sources used in wildlife habitat studies, the Forest Resource Inventory (FRI) and satellite-image derived Provincial Land Cover (PLC). At two study areas, Algonquin Provincial Park (APP) and Wildlife Management Unit 49 (WMU49), we surveyed 119 forest stands and 40 water and wetland stands. Correspondence levels between FRI and field classifications were 48% in APP and 44% in WMU49 when assessing six forest cover types. With only four simplified forest cover types, levels improved to 77% in APP and 63% in WMU49. Correspondence between PLC and field classifications for three forested stand types was approximately 63% in APP and 55% in WMU49. Because of the poor to moderate level of correspondence we detected between map and field classifications, we recommend that care be exercised when FRI or PLC maps are used in forest and wildlife research and management planning.
机译:在加拿大安大略省中部地区,我们评估了基于森林的林分组成的实地估算与野生动植物栖息地研究中使用的两个地图数据源(森林资源清单(FRI)和卫星图像得出的省土地覆盖)之间的分类协议(PLC)。在两个研究区,阿冈昆省立公园(APP)和野生动物管理部门49(WMU49),我们调查了119个森林林分和40个水和湿地林分。在评估六种森林覆盖类型时,FRI与田间分类之间的对应水平在APP中为48%,在WMU49中为44%。仅使用四种简化的森林覆盖类型,APP的水平提高到77%,WMU49的水平提高到63%。三种林分类型的PLC和田间分类之间的对应关系在APP中约为63%,在WMU49中为55%。由于我们在地图和田地分类之间检测到的对应度差到中度,因此建议在森林和野生动植物的研究和管理规划中使用FRI或PLC地图时应格外小心。

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