地理科学进展 ›› 2018, Vol. 37 ›› Issue (1): 66-78.doi: 10.18306/dlkxjz.2018.01.008

• 自然地理学分支学科 • 上一篇    下一篇

数字土壤制图研究综述与展望

朱阿兴1,2,3,4,5,6(), 杨琳3,7,*(), 樊乃卿3, 曾灿英1, 张甘霖8   

  1. 1. 南京师范大学地理科学学院,南京210023
    2. 虚拟地理环境教育部重点实验室,南京师范大学,南京 210023
    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
    4. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
    5. 江苏省地理环境演化国家重点实验室培育建设点,南京 210023
    6. 美国维斯康星大学麦迪逊分校地理系,美国 WI 53706
    7. 南京大学地理与海洋科学学院,南京 210023
    8. 中国科学院南京土壤研究所,南京 210008
  • 收稿日期:2018-01-16 修回日期:2018-01-18 出版日期:2018-01-28 发布日期:2018-01-28
  • 通讯作者: 杨琳 E-mail:axing@njnu.edu.cn;yanglin@nju.edu.cn
  • 作者简介:

    作者简介:朱阿兴,男,浙江长兴人,教授,从事地理信息科学基础理论研究及其在数字土壤制图中的应用,E-mail: axing@njnu.edu.cn

  • 基金资助:
    国家自然科学基金项目(L1624026,41431177,41471178);中国科学院学部学科发展战略研究项目(2016-DX-C-02);江苏省高校自然科学研究重大项目(14KJA170001);江苏高等学校优秀科技创新团队项目

The review and outlook of digital soil mapping

A-Xing ZHU1,2,3,4,5,6(), Lin YANG3,7,*(), Naiqing FAN3, Canying ZENG1, Ganlin ZHANG8   

  1. 1. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China
    2. Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
    3. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    5. State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210023, China
    6. Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA
    7. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
    8. Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
  • Received:2018-01-16 Revised:2018-01-18 Online:2018-01-28 Published:2018-01-28
  • Contact: Lin YANG E-mail:axing@njnu.edu.cn;yanglin@nju.edu.cn
  • Supported by:
    National Natural Science Foundation of China, No.L1624026, No.41431177, No.41471178;Research Project on the Development Strategy of Chinese Academy of Sciences, No.2016-DX-C-02;Natural Science Research Program of Jiangsu, No.14KJA170001;Program of Innovative Research Team of Jiangsu Higher Education Institutions of China

摘要:

土壤的空间分布是土壤形成与发展过程的体现。数字土壤制图是一种新兴的、高效表达土壤空间分布的技术方法,在过去的30年取得了飞速发展。其理论基础为土壤成土因子学说和地理学第一定律。国内外学者在获取环境变量数据、采样方法、制图模型方法和土壤图产生及评价方面开展了大量的研究,应用案例也从小范围到大区域,甚至是全球尺度。未来数字土壤制图的发展方向包括:环境变量刻画的新技术,特别是体现人类活动方面的环境因子;新型数据和遗留数据的有效利用;土壤发生学知识与数学模型的紧密结合的新型推理方法;支持大数据多终端的计算模式。

关键词: 土壤空间分布, 数字土壤制图, 环境协同变量, 土壤环境关系

Abstract:

The spatial distribution of soil reflects its formation and development. Digital soil mapping is a new and efficient technique to represent the spatial distribution of soil, which has experienced a rapid development over the last three decades. The theoretical bases are the soil forming factor theory and the first law of geography. Researchers have done significant work on the generation of environmental covariates, soil sampling methods, mapping methods, and production and evaluation of soil maps. The application cases are from small areas to big regions, even at the global scale. Future directions for digital soil mapping include: new techniques for depicting environmental covariates, especially for expressing human activities; efficient use of new data and legacy data; the reconciling of pedometric knowledge and mathematic models; and new computation ways supporting the use of big data.

Key words: spatial distribution of soil, digital soil mapping, environmental covariates, soil-environment relationship