[1]SU Zilong,YUAN Guohua,ZHOU Wei.Evaluation of Land Carrying Capacity in Anhui Province Based on Revised Three-Dimensional Ecological Footprint Model[J].Research of Soil and Water Conservation,2020,27(03):256-262.
Copy
Evaluation of Land Carrying Capacity in Anhui Province Based on Revised Three-Dimensional Ecological Footprint Model
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 03
Page number:
256-262
Column:
目次
Public date:
2020-04-20
- Title:
- Evaluation of Land Carrying Capacity in Anhui Province Based on Revised Three-Dimensional Ecological Footprint Model
- CLC:
- F301.24
- DOI:
- -
- Abstract:
- As the latest development of ecological footprint model, three-dimensional ecological footprint model can play an important role in the evaluation of land carrying capacity. The classical three-dimensional ecological footprint model was revised by adjusting the account type. Anhui Province was taken as an example. We calculated the productive land footprint, the land carrying capacity and footprint depth in the period from 2009 to 2016 by using the improved model, and analyzed the natural capital occupancy and its driving forces on the basis of the discriminant of land carrying state. The results showed that the land footprint in Anhui Province from 2009 to 2016 presented the trend of first increase and then decrease, among them, the cultivated land and forest land footprint affected by pollution accounted for larger proportion, and was far above the grass footprint. The footprint of the land and all the types of footprints were higher than the land carrying capacity. The footprint depth varied between 2.1 and 2.6, indicating that the insufficient natural capital flow leaded to the consumption of capital stock and had become the normal state of economic and social development in Anhui Province. The suggestions of land carrying capacity promotion were proposed according to the results of the analysis.
- References:
-
[1] FAO. Potential population supporting capacities of lands in developing world [R]. Rome:Food and Agriculture Organization of the United Nations, 1982.
[2] 郑振源.中国土地的人口承载潜力研究[J].中国土地科学,1996,10(4):33-38.
[3] Australia UNESCO Seminar, Committee for Man and the Biosphere. Energy and how we live:Flinders university of South Australia [M]. Canberra:Australian-Unesco Committee, 1973.
[4] 王书华,毛汉英.土地综合承载力指标体系设计及评价:中国东部沿海地区案例研究[J].自然资源学报,2001,16(3):248-254.
[5] 靳相木,李陈.土地承载力研究范式的变迁、分化及综论[J].自然资源学报,2018,33(3):526-540.
[6] Rees W E. Ecological footprints and appropriated carrying capacity:what urban economics leaves out [J]. Environment and Urbanization, 1992,4(2):121-130.
[7] Wackernagel M, Rees W E. Our ecological footprint:Reducing human impact on the earth [M]. British Columbia: New Society Publishers, 1996.
[8] 方恺.生态足迹深度和广度:构建三维模型的新指标[J].生态学报,2013,33(1):267-274.
[9] Niccolucci V, Bastianoni S, Tiezzi E B P, et al. How deep is the footprint?A 3 D representation[J]. Ecological Modelling, 2009,220(20):2819-2823.
[10] 方恺.基于改进生态足迹三维模型的自然资本利用特征分析:选取11个国家为数据源[J].生态学报,2015,35(11):3766-3777.
[11] 杜悦悦,彭建,高阳,等.基于三维生态足迹的京津冀城市群自然资本可持续利用分析[J].地理科学进展,2016,35(10):1186-1196.
[12] 靳相木,柳乾坤.基于三维生态足迹模型扩展的土地承载力指数研究:以温州市为例[J].生态学报,2017,37(9):2982-2993.
[13] 沈文东,许皞.基于三维生态足迹模型扩展的土地承载力指数研究:以河北省为例[J].中国生态农业学报,2018,26(4):505-515.
[14] 张可云,傅帅雄,张文彬.基于改进生态足迹模型的中国31个省级区域生态承载力实证研究[J].地理科学,2011,31(9):1084-1089.
[15] 胡美娟,周年兴,李在军,等.南京市三维生态足迹测算及驱动因子[J].地理与地理信息科学,2015,31(1):91-95.
[16] 张星星,曾辉.珠江三角洲城市群三维生态足迹动态变化及驱动力分析[J].环境科学学报,2017,37(2):771-778.
[17] 方恺,吴次芳、董亮.城市化进程中的土地自然资本利用动态分析[J].自然资源学报,2018,33(1):1-13.
[18] Lin D, Hanscom L, Martindill J, et al. Working guidebook to the national footprint accounts:2016 [M]. Oakland, USA:Global Footprint Network, 2016.
[19] 刘某承,李文华,谢高地.基于净初级生产力的中国生态足迹产量因子测算[J].生态学杂志,2010,29(3):592-597.
[20] 谢鸿宇,叶慧珊.中国主要农产品全球平均产量的更新计算[J].广州大学学报:自然科学版,2008,7(1):76-80.
[21] 卞子浩,赵永华,王晓峰,等.陕西省生态足迹及其驱动力[J].生态学杂志,2016,35(5):1316-1322.
[22] 周涛,王云鹏,龚健周,等.生态足迹的模型修正与方法改进[J].生态学报,2015,35(14):4592-4603.
[23] 段锦,康慕谊,江源.基于淡水资源账户和污染账户的生态足迹改进模型[J].自然资源学报,2012,27(6):253-263.
[24] 赵同谦,欧阳志云,郑华,等.中国森林生态系统服务功能及其价值评价[J].自然资源学报,2004,19(4):480-491.
[25] 白珏,曾辉,魏建兵,等.基于环境污染账户核算的生态足迹模型优化:以珠江三角洲城市区为例[J].应用生态学报,2008,19(8):1789-1796.
[26] 王俊杰.中国省级生态压力与生态效率综合评价:基于生态足迹方法[J].当代经济,2016(8):3-15.
[27] 郑德凤,刘晓星,王燕燕,等.基于三维生态足迹的中国自然资本利用时空演变及驱动力分析[J].地理科学进展,2018,37(10):1328-1339.
[28] 汤丽洁,蒋旭东,杨庆,等.安徽碳排放特征及“十三五”碳排放对策[J].安徽农业科学,2017,45(20):204-206,211.
[29] 程会强,陈豹.基于脱钩理论的安徽经济增长与碳排放动态分析[J].西部论坛,2013,23(4):91-97.
[30] 杨屹,朱彦臻,张景乾.关中—天水经济区生态足迹变化驱动因素[J].生态学报,2017,37(21):7061-7067.
[31] 刘洋,王爱国.自然资本核算研究的理论与方法综述[J].会计之友,2019(3):26-31.
- Similar References:
Memo
-
Last Update:
2020-04-30