There is increasing concern about the predicted negative effects of a future CO₂ doubling on the earth. This concern has evoked interest in the potential for urban greenspace to help reduce the levels of atmospheric carbon. The purpose of this study was to quantify landscape-related carbon storage and annual carbon fluxes for urban residential landscapes and to suggest proper planting and management guidelines to improve direct and indirect removal of atmospheric carbon by urban greenspace, based on models of alternative landscape scenarios. For detailed quantification, the scale of this study was limited to two residential blocks in northwest Chicago having a significant difference in vegetation cover. Total carbon storage in greenspace was about 26.15 kg per m² of greenspace in study block 1, and 23.20 kg per m² of greenspace in block 2. Of the total, soil carbon accounted for about 78.7 percent in block 1 and 88.7 percent in block 2. Trees and shrubs in block 1 and block 2 accounted for 20.8 percent and 10.6 percent, respectively. The carbon storage in grass and other herbaceous plants was only about 0.5 to 0.7 percent in both blocks. Total annual net carbon input to block 1 and block 2 by all the greenspace components was 0.48 kg per m² of greenspace in block 1 and 0.31 kg per m² of greenspace in block 2. The principal net carbon release in greenspace of the residential landscapes was from grass maintenance. Models of alternative landscape scenarios suggest that an ecological landscape, characterized by full tree plantings in the available growing spaces, with no landscape management, is the best landscape type to maximize annual net carbon sequestration in Chicago with its long heating season. Differences between the two blocks in the size of greenspace area and vegetation cover resulted in great differences in total carbon storage and annual carbon uptake. An effective way to increase the carbon storage and uptake in urban areas is to secure as large greenspace as possible and to plant as many trees as possible.
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机译：人们越来越担心未来CO 2加倍对地球的负面影响。这种担忧引起了人们对城市绿地帮助减少大气碳水平的潜力的兴趣。这项研究的目的是根据替代景观情景模型，量化与城市居民景观相关的景观相关碳存储量和年度碳通量，并提出适当的种植和管理指南，以改善城市绿地直接和间接清除大气中的碳。为了进行详细的量化，本研究的规模仅限于芝加哥西北部的两个住宅区，植被覆盖率存在明显差异。在研究区块1中，绿地中的总碳存储量约为每平方米绿地26.15 kg，在区块2中，其每平方米绿地中碳存储量为23.20 kg /m²。在总量中，土壤碳在区块1中约占78.7％，在区块2中约占88.7％。 1区和2区的树木和灌木分别占20.8％和10.6％。在两个区块中，草和其他草本植物中的碳储量仅为约0.5％至0.7％。所有绿地组成部分进入第1块和第2块的年净碳总输入量是第1块中的每平方米绿地0.48千克/平方米和第2块中的每平方米绿地0.31千克。草保养。替代性景观方案的模型表明，在漫长的供暖季节中，以可用的生长空间中全树种且没有景观管理为特征的生态景观是使芝加哥年度碳固存最大化的最佳景观类型。绿地面积和植被覆盖度这两个区块之间的差异导致总碳储存量和年度碳吸收量差异很大。增加城市地区碳储存和吸收量的有效方法是确保尽可能大的绿地并种植尽可能多的树木。
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