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首页> 外文期刊>Journal of Ecosystems and Management >Corroboration of biogeoclimatic ecosystem classification climate zonation by spatially modelled climate data
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Corroboration of biogeoclimatic ecosystem classification climate zonation by spatially modelled climate data

机译：通过空间模拟气候数据证实生物地球气候生态系统分类气候区划

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The biogeoclimatic ecosystem classification (BEC) method for distinguishing areas of reasonably homogeneous macroclimate has been used in British Columbia for over 20 years. Because of the paucity of actual long-term climate data, the method used other means to map climate. We tested how well the BEC climate units could be discriminated from one another using spatially modelled climate data. We tested the ability of climate data to distinguish three units for each of four climatically different zones at two levels of the climatic classification using discriminant analysis. For each analysis, 60 points were randomly selected from within the boundaries of the mapped unit and climate data were generated by ClimateBC. Even at the finest level of the mapping, over 70% of the randomly selected points were correctly classified according to the mapped unit based on selected climate variables. A large proportion of the misclassified points were within 1 km horizontal distance or 100 m elevation of the boundary and are typically climatically transitional areas. We recommend that the BEC climate unit should form the basic unit for examining climate change at multiple scales from the provincial scale to the scale of watersheds or basins, and that further analysis be conducted to both improve biogeoclimatic unit mapping and climate models.
机译：用于区分合理均一的大气候区域的生物地球气候生态系统分类（BEC）方法已在不列颠哥伦比亚使用了20多年。由于实际的长期气候数据很少，因此该方法使用了其他方法来绘制气候图。我们使用空间建模的气候数据测试了BEC气候单位之间的区别程度。我们使用判别分析测试了气候数据在两个气候分类级别上针对四个气候不同区域中的每个区域区分三个单位的能力。对于每次分析，均从映射单位的边界内随机选择60个点，并由ClimateBC生成气候数据。即使在最好的制图水平，也将根据选定的气候变量根据映射的单位正确分类超过70％的随机选择点。大部分错误分类的点都在水平距离1 km或边界高程100 m以内，并且通常是气候过渡区域。我们建议BEC气候单位应成为检查从省级尺度到集水区或流域尺度等多个尺度的气候变化的基本单位，并应进行进一步分析以改善生物地球气候单位制图和气候模型。

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