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Spatial Simulation of Land Use based on Terrestrial Ecosystem Carbon Storage in Coastal Jiangsu, China

机译:基于江苏沿海生态系统碳储量的土地利用空间模拟

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This paper optimises projected land-use structure in 2020 with the goal of increasing terrestrial ecosystem carbon storage and simulates its spatial distribution using the CLUE-S model. We found the following: The total carbon densities of different land use types were woodland > water area > cultivated land > built-up land > grassland > shallows. Under the optimised land-use structure projected for 2020, coastal Jiangsu showed the potential to increase carbon storage, and our method was effective even when only considering vegetation carbon storage. The total area will increase by reclamation and the original shallows will be exploited, which will greatly increase carbon storage. For built-up land, rural land consolidation caused the second-largest carbon storage increase, which might contribute the most as the rural population will continue to decrease in the future, while the decrease of cultivated land will contribute the most to carbon loss. The area near the coastline has the greatest possibility for land-use change and is where land management should be especially strengthened.
机译:本文以增加陆地生态系统碳储量为目标,优化了2020年的土地利用结构预测,并使用CLUE-S模型模拟了其空间分布。我们发现:不同土地利用类型的总碳密度为林地>水域>耕地>耕地>草地>浅滩。根据2020年的优化土地利用结构,江苏沿海地区显示出增加碳储存的潜力,即使仅考虑植被碳储存,我们的方法也有效。填海将增加总面积,并利用原始浅滩,这将大大增加碳储量。对于已建成土地,农村土地整理导致碳储量增加第二大,这可能是最大的贡献,因为将来农村人口将继续减少,而耕地的减少对碳损失的贡献最大。海岸线附近地区最有可能改变土地用途,因此应特别加强土地管理。

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