| 泛北极地区植被数据集与制图：回顾与展望 |
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| 引用本文： | 薛守业,徐海燕,甘子鹏,梁冰妍,种碧莹,王莉,张博,李小明,李莉莎,毛楠,刘桂民,吴晓东. 泛北极地区植被数据集与制图：回顾与展望[J]. 地球信息科学学报, 2022, 24(3): 421-436. DOI: 10.12082/dqxxkx.2022.210311 |
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| 作者姓名： | 薛守业 徐海燕 甘子鹏 梁冰妍 种碧莹 王莉 张博 李小明 李莉莎 毛楠 刘桂民 吴晓东 |
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| 作者单位： | 1.兰州交通大学环境与市政工程学院,兰州 7300702.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 |
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| 基金项目： | 甘肃省优秀研究生创新之星项目;国家自然科学基金;中国科学院“西部之光”人才培养引进计划 |
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| 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。
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| 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 |
| 收稿时间： | 2021-06-03 |
Vegetation Data and Classification in Pan-Arctic Terrestrial Regions:Retrospective and Perspective |
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| XUE Shouye,XU Haiyan,GAN Zipeng,LIANG Bingyan,CHONG Biying,WANG Li,ZHANG Bo,LI Xiaoming,LI Lisha,MAO Nan,LIU Guimin,WU Xiaodong. Vegetation Data and Classification in Pan-Arctic Terrestrial Regions:Retrospective and Perspective[J]. Geo-information Science, 2022, 24(3): 421-436. DOI: 10.12082/dqxxkx.2022.210311 |
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| Authors: | XUE Shouye XU Haiyan GAN Zipeng LIANG Bingyan CHONG Biying WANG Li ZHANG Bo LI Xiaoming LI Lisha MAO Nan LIU Guimin WU Xiaodong |
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| Affiliation: | 1. School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China2. 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 |
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| 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. |
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| Keywords: | Pan-Arctic vegetation types changes vegetation types map climate change land cover types vegetation survey plant community vegetation database |
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