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应用生态学报 ›› 2020, Vol. 31 ›› Issue (10): 3499-3508.doi: 10.13287/j.1001-9332.202010.013

• 研究论文 • 上一篇    下一篇

宁夏沿黄城市带湿地景观格局演变特征及驱动力

高祖桥1, 白永平1*, 周亮2,3, 乔富伟1, 宋龙军1, 陈小宁1   

  1. 1西北师范大学地理与环境科学学院, 兰州 730070;
    2兰州交通大学测绘与地理信息学院, 兰州 730070;
    3中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101
  • 收稿日期:2020-06-10 接受日期:2020-07-28 出版日期:2020-10-15 发布日期:2021-04-15
  • 通讯作者: * E-mail: baiyp@nwnu.edu.cn
  • 作者简介:高祖桥, 男, 1995年生, 硕士研究生。主要从事区域发展与区域管理研究。E-mail: geogzq@126.com
  • 基金资助:
    国家自然科学基金项目(41701173,40771054,41961027)、甘肃省重点研发项目(18YF1FA052)、教育部人文社会科学研究青年基金项目(17YJCZH268)、甘肃省“一带一路”研究一般项目(LDBR2018-017)和甘肃省政府决策咨询委员会2019年度重点课题资助

Characteristics and driving forces of wetland landscape pattern evolution of the city belt along the Yellow River in Ningxia, China

GAO Zu-qiao1, BAI Yong-ping1*, ZHOU Liang2,3, QIAO Fu-wei1, SONG Long-jun1, CHEN Xiao-ning1   

  1. 1College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China;
    2Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
    3State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Science and Natural Resource Research, Chinese Aca-demy of Sciences, Beijing 100101, China
  • Received:2020-06-10 Accepted:2020-07-28 Online:2020-10-15 Published:2021-04-15
  • Contact: * E-mail: baiyp@nwnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China (41701173, 40771054, 41961027), the Key Research and Development Project of Gansu Province (18YF1FA052), the Ministry of Education Humanities and Social Sciences Research Youth Foundation (17YJCZH268), the General Project of the “Belt and Road” Research in Gansu Province (LDBR2018-017), and the Key Project of the Gansu Provincial Government Decision Advisory Committee in 2019.

摘要: 湿地作为全球生产力最高的生态系统之一,具有水净化、气候调节、碳汇等多种功能,但由于人类社会发展的胁迫和自然条件的改变,湿地流失尤为严重。为探究沿黄湿地景观格局演变规律,了解湿地资源的现状和动态变化,本研究以2000、2009、2018年3个时期Landsat卫星影像为数据源,选用景观指数、地理探测器等方法定量分析2000—2018年间宁夏沿黄城市带湿地景观格局演变特征及驱动力。结果表明: 2000—2018年,宁夏沿黄城市带湿地面积呈先增后减的趋势,湿地面积在研究前期增加了52.2 km2,增长率为8.2%,后期减少了26.8 km2,减少率为3.9%。湿地主要转出为建设用地和未利用地,转出面积分别为166.7、158.4 km2;新增湿地主要由未利用地和林草地转入,转入面积为543.1 km2。城市带湿地景观的破碎化程度呈上升趋势,但各类湿地均衡分布的态势逐渐增强,景观多样性也不断增加,景观优势种类逐渐弱化。自然要素和社会经济要素共同影响城市带湿地景观格局演变,其中,社会经济要素中的人口因素影响最显著,自然要素中的降水量、气温驱动作用明显,其他驱动力因子相对较弱但也不容忽视。

关键词: 湿地, 景观格局, 流域高质量发展, 干旱区, 城市带

Abstract: Wetlands are one of the most productive ecosystems in the world, with functions of water purification, climate regulation, and carbon sinks. Due to the stresses caused by human social development and changes of natural conditions, wetlands have been seriously damaged. We examined the evolutionary law of landscape pattern of wetland along the Yellow River, and acquainted the current situation of wetland resources and dynamic change. Based on satellite images of year 2000, 2009, and 2018 from Landsat, we used landscape indices and geographic detectors to quantitatively analyze the characteristics and driving forces of wetland landscape pattern evolution of the city belt along the Yellow River in Ningxia from 2000 to 2018. The results showed that the wetland area of the city belt along the Yellow River in Ningxia enlarged first and then decreased from 2000 to 2018. The wetland area increased by 52.2 km2 in the early stage of the study with an increasing rate of 8.2%, and decreased by 26.8 km2 with a reduction rate of 3.9% in the later stage. The wetland was mainly transformed to construction land and unused land, with transfer out area being 166.7 and 158.4 km2 respectively. New wetland was mainly transformed from unused land, forest, and grassland, with an area of 543.1 km2. The fragmentation degree of wetland landscape in city belt was increasing, the balanced distribution of all kinds of wetlands was gradually strengthened, the landscape diversity was increasing, and the dominant landscape types were gradually weakening. Natural factors and socio-economic factors jointly affected the evolution of wetland landscape pattern in city belt. Among all socio-economic factors population was the most important one. Among natural factors, precipitation and temperature were important. Other driving factors were relatively weak, but could not be ignored.

Key words: wetland, landscape pattern, high quality development in the basin, arid area, city belt