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Smart Agriculture ›› 2020, Vol. 2 ›› Issue (1): 43-57.doi: 10.12133/j.smartag.2020.2.1.202001-SA002

• 专题--农业遥感与表型信息获取分析 • 上一篇    下一篇

基于遥感数据的大尺度区域水田空间格局及生态服务价值变化分析

刘园1, 周清波2(), 余强毅1, 吴文斌1   

  1. 1.中国农业科学院农业资源与农业区划研究所/农业农村部农业遥感重点实验室,北京 100081
    2.中国农业科学院农业信息研究所,北京 100081
  • 收稿日期:2020-01-15 修回日期:2020-03-12 出版日期:2020-03-30
  • 基金资助:
    国家自然科学基金项目(41871356)
  • 作者简介:刘 园(1993-),男,博士研究生,研究方向:农业土地利用,Email:ccnuliuyuan@163.com
  • 通信作者:

Analysis of spatial pattern and ecological service value changes of large-scale regional paddy fields based on remote sensing data

Liu Yuan1, Zhou Qingbo2(), Yu Qiangyi1, Wu Wenbin1   

  1. 1.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences,Beijing 100081, China
    2.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2020-01-15 Revised:2020-03-12 Online:2020-03-30

摘要:

受经济和气候驱动,长江经济带水田空间格局发生了显著变化,影响区域粮食安全与生态安全。本研究基于1990-2015年土地利用遥感监测数据,利用GIS的空间分析功能,探究长江经济带水田空间格局动态变化特征,采用当量因子法计算生态系统服务价值(ESV),分析了水田变化的综合影响。结果表明:1)1990-2015年长江经济带水田规模持续缩减,共减少了17390km2,减幅呈增长态势具有显著地域差异,长江中上游与下游的水田减幅相差约为9.56%。其中下游减幅较大,水田占区域比例随之降低,中上游恰好相反。2)由于经济建设及水产养殖的发展,水田主要转化为建设用地和水系,水田主要由水系、旱地和湿地等转化而来。长江三角洲城市群、长江中游及成渝城市群的水田变化最为剧烈,建设用地侵占水田扩张的现象分布广泛,水田转为水系主要在两湖平原局部地区。3)水田与其他生态系统的转化对ESV是正影响,水田转为水系对此贡献最大,其转化规模决定了不同时期ESV净增量的大小,水系转化为水田损失的价值最多,建设用地侵占水田次之。不同市域的水田变化情况不一致,因此ESV增减情况具有明显差异。4)生态系统服务中水文调节、水资源供给增强的同时,食物生产、气体调节受到严重损害,与水资源规模扩大和水田资源大量流失有直接关系。研究结果有助于揭示长江流域水田的时空变化过程及其对各项生态系统服务的影响,可为区域土地利用规划、农业政策与生态可持续发展提供理论支持。

关键词: 水田, 生态系统服务价值, 长江经济带, 权衡协同, 时空变化, 遥感数据

Abstract:

Under the pressure of economy development and climate change, rice production and distribution in the Yangtze River basin have undergone great changes, which may pose a great threat to the ecological environment and food security. Based on land use remote sensing-monitoring data from1990 to 2015, the GIS spatial analysis method was used to explore the spatial pattern variation characteristics of paddy fields in the Yangtze River economic belt. Meanwhile, Ecosystem services value (ESV) was calculated by using the equivalent factor method corrected by region and time factor to measure the comprehensive impact of paddy field change. The results showed that, to begin with, paddy fields number of the Yangtze River economic belt continued to decrease, with a total decrease of 17 390km2, and the decrease rate presented a trend of growth with significant regional differences. The difference between the reduction rate of paddy fields in the middle upper and the lower reaches of the Yangtze River was about 9.56%. Among them, in the lower reaches of the Yangtze River, the proportion of paddy fields decreased, while in the middle and upper reaches which was just the opposite. Then, paddy fields mainly flowed to construction land and water, resulting from economic construction and aquaculture development. Paddy fields chiefly came from water, dry land and wetland, etc. Furthermore, paddy fields in the Yangtze River Delta, the middle reaches of the Yangtze River and the Chengdu-Chongqing urban agglomerations changed the most dramatically. The expansion of construction land to paddy fields was widespread, and paddy fields flooded by water primarily distributed in the two lake plains. In addition, the conversion of paddy fields and other ecosystems had a positive impact on ESV, in which the paddy-water diversion type contributed the most. Its scale determined the net increase of ESV in different periods. Value loss lead by conversion from water to paddy fields was the largest, and construction land invading paddy fields was the second. The conversions in different cities were different, so the difference in ESV increases and decreases. In addition, the tradeoffs within ecosystem services were mainly between hydrological regulation, water supply and food production, gas regulation, which were directly related to the increase of water resources and the loss of paddy fields. The research results are helpful to reveal the spatio-temporal changes process of paddy fields in the Yangtze River basin and its impact on ecological functions, and provide theoretical support for regional land use planning, agricultural policy and ecological sustainable development.

Key words: paddy fields, ecosystem services value, the Yangtze river economic belt, tradeoffs, spatio-temporal changes, remote sensing data

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