地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (3): 421-436.doi: 10.12082/dqxxkx.2022.210311

• 综述 •    下一篇

泛北极地区植被数据集与制图:回顾与展望

薛守业1,2(), 徐海燕1,*(), 甘子鹏1, 梁冰妍1, 种碧莹1, 王莉1, 张博1, 李小明1, 李莉莎1, 毛楠1, 刘桂民1, 吴晓东2   

  1. 1.兰州交通大学环境与市政工程学院,兰州 730070
    2.中国科学院西北生态环境资源研究院 冰冻圈科学国家重点实验室 青藏高原冰冻圈观测研究站,兰州730000
  • 收稿日期:2021-06-03 修回日期:2021-07-19 出版日期:2022-03-25 发布日期:2022-05-25
  • 通讯作者: *徐海燕(1981— ),女,甘肃张掖人,副教授,主要从事寒区环境生态研究。E-mail: hyxu12@163.com
  • 作者简介:薛守业(1997— ),男,甘肃平凉人,硕士生,从事北极植被变化研究。E-mail: xuesye@163.com
  • 基金资助:
    国家自然科学基金项目(41941015);国家自然科学基金项目(32061143032);中国科学院西部之光项目(2020);甘肃省优秀研究生“创新之星”项目(2021CXZX-623)

Vegetation Data and Classification in Pan-Arctic Terrestrial Regions: Retrospective and Perspective

XUE Shouye1,2(), XU Haiyan1,*(), GAN Zipeng1, LIANG Bingyan1, CHONG Biying1, WANG Li1, ZHANG Bo1, LI Xiaoming1, LI Lisha1, MAO Nan1, LIU Guimin1, WU Xiaodong2   

  1. 1. School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
    2. Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2021-06-03 Revised:2021-07-19 Online:2022-03-25 Published:2022-05-25
  • Supported by:
    National Natural Science Foundation of China(41941015);National Natural Science Foundation of China(32061143032);West Light Foundation of the Chinese Academy of Sciences(2020);Outstanding Graduate Students “The star of innovation”Foundation of Gansu Province, China(2021CXZX-623)

摘要:

泛北极地区位于北半球高纬度地区,主要属于低温限制型生态系统,因而泛北极地区植被对全球变暖敏感。要明确泛北极地区陆地生态系统对全球变暖响应过程和机理,就需要高精度的植被类型分类数据作为基础资料。但是,目前泛北极地区植被数据的结果还不完善。为更好地认识泛北极地区植被类型分类的现状、发展历史和未来研究方向,本文综述了泛北极地区植被类型制图的数据来源、植被类型划分方法和植被类型制图研究方法。总体而言,泛北极地区的植被调查从20世纪20年代就陆续开展,目前部分区域尺度上的地表覆盖类型的结果,但具体的植被类型制图工作还存在一系列难题。主要原因包括植被野外调查实测数据较少和分布不均、植被类型分类标准不一、苔原植被群落的异质性大、制图技术和分类算法优化困难等。因此,在下一步泛北极植被类型制图工作中,需要制定标准化分类策略,规范数据获取及数据库的整理工作,并发展新的制图方法,从而促进植被类型制图研究工作。

关键词: 泛北极, 植被类型变化, 植被类型制图, 气候变化, 植被类型, 植被调查, 植被群落, 植被数据库

Abstract:

Pan-Arctic area belongs to the high latitudes, and the vegetation in Pan-Arctic mainly belongs to the temperature-limited ecosystem, and thus the vegetation is sensitive to global warming. A vegetation atlas with high accuracy is the scientific basis for the study of response of vegetation to climate change and its driving mechanisms. However, there is a large room for improvement of vegetation type classification in the Pan-Arctic regions. For a better knowledge of the current status, history, and future trends in the vegetation mapping, we comprehensively reviewed the data resources, approaches, and methods of vegetation type classification in the Pan-Arctic region. Overall, the field survey of vegetation began in the 1920s, and there have been some land cover type data at the regional scale. However, there are still many challenges for Pan-Arctic vegetation type mapping, which can be attributed to several reasons such as differences in field survey data, standards for the land cover type classification, and the heterogeneities in tundra ecosystem, and differences in mapping methods and difficulties of optimizing algorithm. In the future work, more attentions should be paid to standard classification rules, and standard dataset preparation and integration, which will benefit the development of new methods for vegetation type mapping in the Pan-Arctic area.

Key words: Pan-Arctic, vegetation types changes, vegetation types map, climate change, land cover types, vegetation survey, plant community, vegetation database