Land Use Structure Optimization Based on Carbon Balance:A Case Study in Lanzhou of Gansu Province

2012 ◽  
Vol 518-523 ◽  
pp. 6069-6074 ◽  
Author(s):  
Hai Meng Liu ◽  
Pei Ji Shi ◽  
Ming Hui Sun

Land use structure optimization is the core of land use planning, which has significant influence to the carbon cycle in terrestrial ecosystems. In this paper, we put Lanzhou as case study, to realize the land ecosystem carbon balance is the breakthrough point, using the method of fuzzy linear programming, constructing model from carbon source and carbon sink, trying to put forward a new approach to optimize the land use structure. Contrast with the former planning with the optimization scheme based on carbon balance, carbon stock volume and carbon emissions of the year 2005 and 2020 are evaluated .We got a low carbon optimization scheme of land use planning finally. The results of the study show that the objective to make carbon storage maximization and to make carbon emissions minimization is consistent and the two optimizing schemes have dramatically beneficial effect on increase carbon sink and reduce carbon source, which can slow down carbon emissions in terrestrial ecosystems and realize the rational utilization of land resources and the sustainable development.

2014 ◽  
Vol 707 ◽  
pp. 214-218
Author(s):  
Xin Yu Zhang ◽  
Pei Ji Shi

Regional land use is an important source of carbon emissions .To some extent , the optimization land use will change the pattern and structure of human energy consumption .In this paper, we try to put forward a new approach to optimize the land use structure of the low carbon target in Zhangye .Three schemes for land use low-carbon optimization were proposed and analyzed, and the policy suggestions were put forward finally . Compare with the original plan, Optimization program in the year of 2020, the amount of carbon accumulation increase 124.1648 million tons, and carbon emissions reduce 1,152,100 tons. This indicates that the scheme for land use planning to achieve carbon reduction and carbon accumulation has important guiding significance.


2020 ◽  
Vol 274 ◽  
pp. 123076 ◽  
Author(s):  
Bin Yang ◽  
Xiang Chen ◽  
Zhanqi Wang ◽  
Weidong Li ◽  
Chuanrong Zhang ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 11 ◽  
Author(s):  
Dang Han ◽  
Ruilin Qiao ◽  
Xiaoming Ma

The approach of choosing an effective low-carbon land-use structure by multi-objective methods is commonly used in land-use planning. A common methodology is to calculate carbon emissions and conduct scenario simulations for the future. However, most Chinese cities have not implemented the methods for monitoring carbon emissions proposed by the Intergovernmental Panel on Climate Change (IPCC), especially Shenzhen, which is one of the fastest-growing cities in China. This study first calculated the carbon emissions for a typical year in Shenzhen under the guidance of the IPCC. Second, nighttime light data were used to spatialize the gross domestic product to obtain the economic benefit coefficients of the various land types. Finally, a multi-objective linear programming model was used to optimize the land-use structure under different scenarios for 2020 and 2025. The results show that (i) energy consumption contributed the most to local carbon emissions in 2016, at 94.75%; (ii) carbon emissions from paddy fields, animals, and humans were the second most dominant source; (iii) the intensity of carbon emissions from different land types in 2016 was variable; and (iv) compared with the natural scenario, an optimized land-use structure could reduce carbon emissions by 5.97% by 2020 and 12.61% by 2025. Under ideal simulation conditions, the simulated land-use pattern could not only meet the requirements of economic and social development, but also could effectively reduce carbon emissions, which is of great value to land managers and decision-makers.


2021 ◽  
Author(s):  
Yanyu Lu ◽  
Yao Huang ◽  
Qianlai Zhuang ◽  
Wei Sun ◽  
Shutao Chen ◽  
...  

Abstract China’s terrestrial ecosystems play a pronounced role in the global carbon cycle. Here we combine spatially-explicit information on vegetation, soil, topography, climate and land use change with a process-based biogeochemistry model to quantify the responses of terrestrial carbon cycle in China during the 20th century. We find that that the regional soil thermal and moisture regimes have dramatically changed. Specifically, evapotranspiration increased due to rising temperature and soils were drying in the last two decades of the 20th century. At a century scale, China’s terrestrial ecosystems have acted as a carbon sink averaging at 0.09 Pg C yr-1, with large inter-annual and decadal variabilities. The regional sink has been enhanced due to the rising temperature and CO2 concentration, with a slight increase trend in carbon sink strength along with the enhanced net primary production in the century. Meanwhile, the heterotrophic respiration increased in response to warming. The spatial and temporal variabilities of carbon balance in China are due to multiple controlling factors including temperature and precipitation and changing atmospheric CO2 concentrations. Land-use changes including reforestation and afforestation during the late 20th century partially contributed to the increase in carbon sink at the national scale.


GeoJournal ◽  
1994 ◽  
Vol 32 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Ivan Bičík ◽  
Vít Štěpánek
Keyword(s):  
Land Use ◽  

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