生态与农村环境学报 ›› 2020, Vol. 36 ›› Issue (2): 161-170.doi: 10.19741/j.issn.1673-4831.2019.0668

• 区域环境与发展 • 上一篇    下一篇

基于CA-Markov模型的惠州市生态与经济协调度时空演变特征及模拟预测

李龙1, 吴大放1, 刘艳艳1, 龚建周1, 刘毅华1, 郑金育2   

  1. 1. 广州大学地理科学学院, 广东 广州 510006;
    2. 广东园梦生态环境工程规划设计有限公司, 广东 惠州 516000
  • 收稿日期:2019-08-23 出版日期:2020-02-25 发布日期:2020-03-03
  • 通讯作者: 吴大放,E-mail:wudaf2004@163.com E-mail:wudaf2004@163.com
  • 作者简介:李龙(1995-),男,四川宜宾人,硕士生,研究方向为耕地保护与土地整治。E-mail:1277709794@qq.com
  • 基金资助:
    国家自然科学基金(41101078,41771096);广州市哲学社会科学发展"十三五"规划2019年度一般课题(2019GZYB83);广东省哲学社会科学"十三五"规划2017年度学科共建项目(GD17XGL44);广东省研究生示范课程建设项目(2017SFKC32)

Spatial and Temporal Evolution Characteristics and Simulation Prediction of Ecological and Economic Coordination Degree in Huizhou Based on a CA-Markov Model

LI Long1, WU Da-fang1, LIU Yan-yan1, GONG Jian-zhou1, LIU Yi-hua1, ZHENG Jin-yu2   

  1. 1. School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China;
    2. Guangdong Yuanmeng Ecological Environment Engineering Planning and Design Co. Ltd., Huizhou 516000, China
  • Received:2019-08-23 Online:2020-02-25 Published:2020-03-03

摘要: 研究生态环境与经济效益的协调发展关系以实现城市可持续发展是土地科学的焦点。基于2000-2015年惠州市遥感影像,通过CA-Markov模型预测研究区2025年土地利用状况,以1 km×1 km惠州市土地利用数据为基础,以生态系统服务价值表征生态,以GDP表征经济,运用经济协调度模型对惠州市生态与经济协调度进行耦合,开展时空演变分析及预测,同时采用Getis-Ord Gi*分析其空间异质性,以此揭示快速城市化区域的生态环境与经济发展耦合协调关系和空间分异特征。结果表明,模拟预测2025年的惠州市土地利用格局与其他时期相比,土地利用效率较高,景观破碎化现象相对于前期得到有效缓解。经济环境协调变化指数在近20 a变化较大,生态经济失调区域面积大于生态经济协调区域面积,空间分布上失衡,生态环境质量低和经济发展过快的两极化现象较为严重,生态与经济协调水平总体不高,发达地区周边的局部区域从不协调向协调转变,并有逐渐扩大趋势。经济协调度空间分布模式从2000年的冷点单一聚集发展为2025年的冷热点2种集聚模式共同分布,同时热点向冷点逐渐迁移。目前快速城市化区域的经济与生态协调发展水平较低,形势较为严峻,但已有转好的趋向,并且空间差异不均衡和两极化发展问题较为突出,发达地区在发展经济的同时需要加大生态修复和保护力度,实现生态与经济协同可持续发展。

关键词: 生态系统服务价值, 经济, 协调度, 惠州市, CA-Markov

Abstract: Land change science focuses on the relationship between the ecological environment and the economy, which is beneficial for sustainable development. Based on remote sensing images of Huizhou City from 2000 to 2015, a CA-Markov model was used to predict land use cover change in 2025. For this,1 km×1 km land use data were employed and the ESV values and GDP were calculated as the ecology and economy. An EEHC model was used to couple the economy and the ecological environment and prospective spatio-temporal evolution was explored. To reveal coupled coordination and spatial variation characteristics of these factors in rapid urbanized region, Getis-ord Gi* was used to analyze the coordination degree of spatio-temporal variation. The results show that:(1) Compared with other periods, the predicted land use pattern of Huizhou in 2025 has a higher land use efficiency. Although the landscape fragmentation in this region is prominent, it has been effectively alleviated compared with the earlier period. (2) In the past 20 years, EEHC had changed significantly, and the unbalanced area was larger than the concerted area. The spatial distribution was unbalanced, and the phenomenon of polarization is more serious than before. In addition, the level of ecological and economic coordination is generally not high, while the developed areas has been changing from uncoordinated to coordinated gradually expanding. The area distributed around the developed areas gradually expanded. (3) The EEHC spatial distribution pattern evolved from a single cold point aggregation in 2000 to a common distribution of two cold and hot spots in 2025, and the hot spots gradually migrated to the cold spots. The concerted developmental level of the economy and ecology in rapidly urbanized regions was low, and the situation was more serious. However, it had a good tendency, and the problem of spatial varied imbalance was more pronounced. In the developed areas while developing the economy, the intensity of ecological restoration and protection should also be increased, which is beneficial for the sustainable development of the economy and ecological synergy. This study provides a theoretical basis for future researches to promote the coordinated development of land security, ecological environment, and economic development. The results are of great significance for the sustainable development of natural, economic, and social systems, which are important for the sustainable development of cities.

Key words: ecosystem service value, economy, coordination degree, Huizhou City, CA-Markov

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