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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Investigations of BOREAS spatial data in support of regional ecosystem modeling
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Investigations of BOREAS spatial data in support of regional ecosystem modeling

机译：支持区域生态系统建模的BOREAS空间数据研究

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Simulation models are commonly used to scale up water, energy, and trace gas flux estimates from study plots to an entire region or biome, such as the North American boreal forest. As a means to validate ecosystem model predictions at the scale of the typical experimental area (100 m~2 to l km~2), it is necessary to quantify potential errors in spatial data layers used as model inputs, independently from prediction errors resulting from incorrect model design or flawed process algorithms. Our analysis of land cover. hydrology, and soil maps generated as part of the Boreal Ecosystem-Atmosphere Study (BOREAS) suggests that coverages for plant functional types, derived from a combination of Landsat Thematic Mapper and the advanced very high resolution radiometer (AVHRR) satellite images, provide the highest quality information to define spatial model parameters. This information is critical for boreal ecosystem simulations of small patch types (e.g., dry conifer, fen, and disturbed sites), which are frequently obscured at 1-km pixel resolution. We find that soil property information for the dominant class, as contained in the regional BOREAS soil maps, does not appear to be a highly consistent indicator of hydrologic dynamics for fen and other boreal wetlands at the study area level. It appears instead that accurate regional modeling analyses for methane and other biogenic trace gas fluxes will depend largely on relatively fine scale remote sensing to resolve the high level of undifferentiated pixel mixing seen among boreal forest types and fen/bog areas in aggregated 1-km AVHRR land cover data.
机译：仿真模型通常用于按比例放大水量，能量以及从研究区到整个区域或生物群落（例如北美北方森林）的痕量气体通量估算值。作为在典型实验区域（100 m〜2至1 km〜2）范围内验证生态系统模型预测的一种方法，有必要对用作模型输入的空间数据层中的潜在误差进行量化，而与由错误的模型设计或有缺陷的过程算法。我们对土地覆被的分析。水文和作为北方生态系统-大气研究（BOREAS）的一部分生成的土壤图表明，从Landsat专题测绘仪和先进的超高分辨率辐射计（AVHRR）卫星图像的组合得出的植物功能类型的覆盖率最高定义空间模型参数的质量信息。此信息对于小块类型（例如干针叶树，和受干扰的地点）的寒带生态系统模拟非常重要，这些斑块通常以1 km的像素分辨率掩盖。我们发现，区域BOREAS土壤地图中包含的优势类的土壤特性信息，似乎并不是研究区域水平上的fen和其他北方湿地水文动力学高度一致的指标。取而代之的是，对甲烷和其他生物成因的微量气体通量的准确区域建模分析将在很大程度上取决于相对精细的遥感，以解决在总计1 km AVHRR中的北方森林类型和/沼泽地区之间看到的未分化像素混合的高水平土地覆盖数据。

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