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Wetland biomass inversion and space differentiation: A case study of the Yellow River Delta Nature Reserve

机译:湿地生物量反演与空间分异-以黄河三角洲自然保护区为例

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摘要

With wetlands categorized as one of the three major ecosystems, the study of wetland health has global environmental implications. Multiple regression models were employed to establish relationships between Landsat-8 images, vegetation indices and field measured biomass in the Yellow River Delta Nature Reserve. These models were then used to estimate the spatial distribution of wetland vegetative biomass. The relationships between wetland vegetative biomass and soil factors (organic matter, nitrogen, phosphorus, potassium, water soluble salt, pH and moisture) were modeled. We were able to achieve higher correlations and improved model fits using vegetative indices and spectral bands 1–5 as independent variables. Several important soil factors were isolated, including soil moisture and salt concentrations, which affect wetland biomass spatial distributions. Overall, wetland biomass decreased from land to the ocean and from the river courses outward.
机译:湿地被归类为三大生态系统之一,对湿地健康的研究具有全球性的环境意义。采用多元回归模型建立黄河三角洲自然保护区Landsat-8影像,植被指数与实测生物量之间的关系。然后将这些模型用于估算湿地植物生物量的空间分布。建立了湿地植物生物量与土壤因子(有机质,氮,磷,钾,水溶性盐,pH和湿度)之间的关系。使用营养指数和光谱带1-5作为自变量,我们能够实现更高的相关性并改善模型拟合。隔离了几个重要的土壤因素,包括影响湿地生物量空间分布的土壤水分和盐分浓度。总体而言,湿地生物量从陆地到海洋以及从河道向外减少。

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