黄河三角洲高效生态经济区2005-2019年生态足迹演变特征及其影响因素

韩琭; 杨勇

doi:10.13961/j.cnki.stbctb.2021.04.038

您当前的位置：

首页 >

文章列表页 >

黄河三角洲高效生态经济区2005-2019年生态足迹演变特征及其影响因素

试验研究

- 黄河三角洲高效生态经济区2005-2019年生态足迹演变特征及其影响因素
- Characteristics of Ecological Footprint Evolution and Its influencing Factors in High Efficiency Eco-economic Zone of Yellow River Delta During 2005-2019
- 水土保持通报 2021年41卷第4期页码：284-291
- 作者机构：
  
  山东财经大学公共管理学院,山东,济南,250014
- 作者简介：
- 基金信息：
  
  国家社会科学基金项目“雾霾灾害的政府、企业、公众合作治理机制研究”（18BJY087）
- DOI：10.13961/j.cnki.stbctb.2021.04.038
  中图分类号： X22;X321
- 纸质出版：2021
- 稿件说明：
移动端阅览
韩琭, 杨勇. 黄河三角洲高效生态经济区2005-2019年生态足迹演变特征及其影响因素[J]. 水土保持通报, 2021,41(4):284-291.

Han Lu, Yang Yong. Characteristics of Ecological Footprint Evolution and Its influencing Factors in High Efficiency Eco-economic Zone of Yellow River Delta During 2005-2019[J]. Bulletin of Soiland Water Conservation, 2021, 41(4): 284-291.
韩琭, 杨勇. 黄河三角洲高效生态经济区2005-2019年生态足迹演变特征及其影响因素[J]. 水土保持通报, 2021,41(4):284-291. DOI： 10.13961/j.cnki.stbctb.2021.04.038.

Han Lu, Yang Yong. Characteristics of Ecological Footprint Evolution and Its influencing Factors in High Efficiency Eco-economic Zone of Yellow River Delta During 2005-2019[J]. Bulletin of Soiland Water Conservation, 2021, 41(4): 284-291. DOI： 10.13961/j.cnki.stbctb.2021.04.038.

摘要

[目的] 统计分析黄河三角洲高效生态经济区的生态足迹与各类型土地利用状况，为该区的高质量发展提供对策建议。[方法] 以黄河三角洲高效生态经济区19县市区为研究对象，采用生态足迹模型和因子探测器对黄河三角洲高效生态经济区2005—2019年生态足迹时空演变和影响因素进行定量分析。[结果] ①研究区生态足迹自2010—2019年呈现较快上升态势，生态承载力缓慢提升，赤字有所扩大。②黄河三角洲高效生态经济区生态足迹空间分布差异明显。区域发展阶段可分为平稳期、上升期和转型期，其中中部和西北部生态足迹明显高于东部和西南部。③各影响力存在明显差异，其中耕地生产和工业化发展对黄河三角洲区域生态足迹影响最强，其余因素影响程度依次为：人口密度 > 道路密度 > 城镇化率 > 水产养殖。[结论] ①黄河三角洲高效生态经济区人均生态足迹整体变化趋势稳定，耕地与化石能源用地足迹占区域生态足迹较大比重；②区域生态足迹呈现由东部向中西部递增趋势，且高值区多集中于内陆地区和黄河沿线城市；③农业生产和工业生产为黄河三角洲高效生态经济区核心发展要素，水域开发利用对区域生态环境保护具有促进作用，应从耕地保护、产业链升级、数字赋能、生态修复方面寻找对策。

Abstract

[Objective] The ecological footprint and various types of land use was analyzed

in order to provide countermeasures and suggestions for the high-quality development of high efficiency eco-economic zone of Yellow River delta. [Methods] Taking 19 cities in the high efficiency eco-economic zone of Yellow River delta as the research objects

the ecological footprint model and factor detector were used to quantitatively analyze the spatio-temporal evolution and influencing factors of the ecological footprint in the high efficiency eco-economic zone of Yellow River delta from 2005 to 2019. [Results] ① The ecological footprint increased rapidly from 2010 to 2019

the ecological carrying capacity increased slowly

and the deficit expanded. ② The spatial distribution of ecological footprint in the high efficiency eco-economic zone of Yellow River delta was obviously different. The regional development could be divided into stable period

rising period and transition period. The ecological footprint in the middle and northwest was significantly higher than that in the east and southwest; ③ There were significant differences in the influencing factors

among which

cultivated land production and industrial development had the strongest influence on the ecological footprint of the high efficiency eco-economic zone of Yellow River delta

and the influence degree of other factors was in the order of population density > road density > urbanization rate > aquaculture. [Conclusion] ① The overall trend of per capita ecological footprint in the high efficiency eco-economic zone of Yellow River delta is stable

and the footprint of farmland and fossil energy land account for a large proportion of the regional ecological footprint. ② The regional ecological footprint increased from the east to the central and western regions

and the high value areas are mainly concentrated in the inland areas and the cities along the Yellow River. ③ Agricultural production and industrial production are the core development factors in the high efficiency eco-economic zone of Yellow River delta. Water development and utilization can promote regional ecological environment protection. Therefore

measures and stuafegies should be put forward from the viewpoints

such as farmland protection

industrial chain upgrading

digital empowerment and ecological restoration.

关键词

Keywords

references

左其亭.黄河流域生态保护和高质量发展研究框架[J].人民黄河, 2019, 41(11):1-6.

王书华, 毛汉英, 王忠静.生态足迹研究的国内外近期进展[J].自然资源学报, 2002, 17(6):776-782.

Rees W E. Ecological footprints and appropriated carrying capacity:What urban economics leaves out[J].Urbanisation, 2017, 2(1):66-77.

Wackernagel M, Rees W. Our ecological footprint:reducing human impact on the Earth[M]. Gabriola Island, B. C.:New Society Publishers, 1996.

Wackernagel M, Rees W E. Perceptual and structural barriers to investing in natural capital:Economics from an ecological footprint perspective[J]. Ecological economics, 1997, 20(1):3-24.

张志强, 徐中民, 程国栋, 等. 中国西部12省(区市)的生态足迹[J].地理学报, 2001, 56(5):599-610.

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.

张勃, 刘秀丽.基于ARIMA模型的生态足迹动态模拟和预测:以甘肃省为例[J].生态学报, 2011, 31(20):6251-6260.

郭秀锐, 杨居荣, 毛显强.城市生态足迹计算与分析[J].地理研究, 2003, 22(5):654-662.

刘钰, 马延吉.农业生态足迹研究进展与展望[J].中国生态农业学报, 2019, 27(7):1115-1123.

杨桂华, 李鹏.旅游生态足迹:测度旅游可持续发展的新方法[J].生态学报, 2005, 25(6):1475-1480.

刘海燕, 郝海广, 刘煜杰, 等. 北方农牧交错生态脆弱区农户生态足迹及其与收入的关系[J].生态经济, 2019, 35(7):148-154.

张洺也, 赵春子.基于生态足迹法的延边州水资源生态环境研究[J].东北师大学报(自然科学版), 2019, 51(3):135-142.

郭运功, 汪冬冬, 林逢春.上海市能源利用碳排放足迹研究[J].中国人口·资源与环境, 2010, 20(2):103-108.

Ferng J J. Using composition of land multiplier to estimate ecological footprints associated with production activity[J].Ecological Economics, 2001, 37(2):159-172.

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.

胡悦, 王溧.京津冀三维生态足迹演变趋势及驱动因素[J].江苏农业科学, 2019, 47(18):309-313.

Destek M A, Ulucak R, Dogan E. Analyzing the environmental Kuznets curve for the EU countries:The role of ecological footprint[J].Environmental Science and Pollution Research, 2018, 25(29):29387-29396.

程钰, 尹建中, 王建事.黄河三角洲地区自然资本动态演变与影响因素研究[J].中国人口·资源与环境, 2019, 29(4):127-136.

程钰, 任建兰, 侯纯光, 等. 沿海生态地区空间均衡内涵界定与状态评估:以黄河三角洲高效生态经济区为例[J].地理科学, 2017, 37(1):83-91.

周涛, 王云鹏, 龚健周, 等. 生态足迹的模型修正与方法改进述评[J].生态学报, 2015, 35(14):1-17.

谢高地, 曹淑艳, 鲁春霞, 等. 中国的生态服务消费与生态债务研究[J].自然资源学报, 2010, 25(1):43-51.

徐中民, 程国栋, 张志强.生态足迹方法:可持续性定量研究的新方法:以张掖地区1995年的生态足迹计算为例[J].生态学报, 2001, 21(9):1484-1493.

刘东, 封志明, 杨艳昭.基于生态足迹的中国生态承载力供需平衡分析[J].自然资源学报, 2012, 27(4):614-624.

刘某承, 苏宁, 伦飞, 等. 区域生态文明建设水平综合评估指标[J].生态学报, 2014(01):97-104.

王劲峰, 徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72(1):116-134.

浏览量

744

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于水资源利用的长江流域横向生态保护补偿标准研究

西安生态足迹计算与分析

基于生态足迹模型的区域可持续发展定量分析--以山东省烟台市为例

基于生态足迹模型的区域生态经济发展评估--陕西省及其各市域实证分析

基于生态足迹的青海省生态安全初步研究