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Spatial Distribution Characteristics of Biomass and Carbon Storage in Forest Vegetation in Chongqing Based on RS and GIS

机译:基于RS和GIS的重庆市森林植被生物量和碳储量的空间分布特征

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Research on the spatial distribution characteristics of carbon storage in forest vegetation not onlyfacilitates the study of carbon sink and ecological compensation of the forest ecosystem, but alsoprovides basic data for recovering and reconstructing the forest ecosystem and increasing thecarbon sink. In this study, remote sensing images of Landsat TM (August) in 2011 and a large amountof actual surveyed data of the sample plots were used as the main and supplementary data sources,respectively. Chongqing was selected as the study site to quantitatively estimate the biomass, carbonstorage, and carbon density of forest vegetation based on the biomass-remote sensing (RS) geoscientificdata regression model with the aid of RS and GIS techniques. With the spatial analysis function ofArcGIS, factors affecting the geographic distribution of biomass were investigated from a macroscopicperspective, and the geographical distribution pattern characteristics of biomass in the study areawere quantitatively discussed. Results showed that the total aboveground biomass of Chongqing is2.83×10 8 ?t,?and?that?of?the?forest?ecosystem?is?1.39×10 8 ?t.?Biomass?was?mainly?distributed?in?northeastand southeast Chongqing, and the overall distribution pattern was high in the east and low in the west.Forest vegetation and biomass were mainly distributed in mid-high altitudes with steep slopes. Despitethe results of this biomass and carbon storage study using RS in Chongqing, further research basedon the carbon cycle is needed.
机译:研究森林植被碳储量的空间分布特征,不仅有利于森林生态系统碳汇和生态补偿的研究,而且为恢复和重建森林生态系统,增加碳汇提供了基础数据。在这项研究中,分别使用2011年8月的Landsat TM的遥感图像和样本地的大量实际调查数据作为主要和辅助数据源。选择重庆作为研究地点,利用生物量遥感(RS)地学数据回归模型,借助RS和GIS技术定量估算森林植被的生物量,碳储量和碳密度。利用ArcGIS的空间分析功能,从宏观角度考察了影响生物量地理分布的因素,并对研究区生物量的地理分布格局特征进行了定量讨论。结果表明,重庆市地上生物量为2.83×10 8 t,森林生态系统为1.39×10 8 t。生物量主要分布在重庆市。重庆东南部为北nor,总体分布格局为东部高,西部低。森林植被和生物量主要分布在中高海拔,陡坡上。尽管在重庆使用RS进行了该生物量和碳储量研究的结果,但仍需要基于碳循环的进一步研究。

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