Land use structure optimization based on carbon storage in several regional terrestrial ecosystems across China |
| |
| Institution: | 1. School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210093, Jiangsu Province, China;2. Land Development and Consolidation Technology Engineering Center of Jiangsu Province, Nanjing 210093, Jiangsu Province, China;3. Jiangsu Information Center, Nanjing 210013, Jiangsu Province, China;4. College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China;5. College of Resources and Environment, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, Henan Province, China;1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China;2. Chinese Academy of Forest Inventory and Planning, State Forestry Administration, 18 Hepingli East Street, Xicheng District, Beijing 100714, China;3. Beijing Municipal Institute of City Planning & Design, 60 Nanlishi Street, Xicheng District, Beijing 100045, China;4. College of Hydrology and Water Resources, Hohai University, 1 Xikang Road, Nanjing 210098, China;1. College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China;2. Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Kunming 650034, PR China;3. School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, PR China;4. Jiangsu Information Center, Nanjing 210013, PR China;5. Jinling Institute of Nanjing University, Nanjing 210093, PR China;1. College of Resources and Environment, Southwest University, Chongqing 400715, China;2. School of Surveying and Urban Spatial Information, Henan University of Urban Construction, Pingdingshan 467036, China;3. Chongqing Rural Land Regulation Center, Chongqing 400715, China;1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China;2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;3. Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing, 100101, China;4. University of Chinese Academy of Sciences, Beijing, 100049, China;1. College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China;2. Department of City and Regional Planning, The University of North Carolina at Chapel Hill, New East Bldg, CB 3140, Chapel Hill NC, 27599, USA;1. School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, Jiangsu Province, China;2. Land Development and Consolidation Technology Engineering Center of Jiangsu Province, Nanjing 210023, Jiangsu Province, China;3. College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;4. North China University of Water Resources and Electric Power Zhengzhou, Henan 450011, Henan Province, China |
| |
| Abstract: | Land use change is a main driver of carbon storage in terrestrial ecosystems. Based on land use data, research results related to carbon densities in vegetation and soil as well as government policies related to development in different regions of China, this paper optimized land use structure in 2020 for different regions with the goal of increasing terrestrial ecosystem carbon storage. We defined seven types of land use: (1) cultivated land, (2) garden land, (3) woodland, (4) pasture land, (5) other agricultural land, (6) urbanized land, and (7) a mixture of other land which we call mixed land which included open water, swamps, glaciers and other land as defined below. We found: (1) For most eastern regions, woodland has the highest carbon (C) densities while C densities of pasture land and cultivated land did not differ widely. Both have C densities higher than urbanized land while urbanized land has higher carbon densities than the areas placed in the mixed land type. (2) Under an optimized land use structure projected for 2020, the area of cultivated land will decrease compared with 2005 for most regions. The areas of garden land, pasture land and other agricultural land are much smaller compared with the mixed land use type, and the changes there are not obvious and their contributions to increased carbon storage are not significant. The area of woodland will increase the most obviously and it will contribute the most to increased carbon storage. The increasing urbanization of land and the decreasing trend of other land types make it difficult to change carbon storage patterns since the Chinese economy is expanding rapidly. (3) The optimized land use structure presented here will have effects on the entire country though with regional differences. Some inland regions will always have a larger potential to increase carbon storage than other areas because the potentialities in some coastal regions are limited by social and economic development. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
