Hot Topics and Frontier Evolution of Grassland Remote Sensing Research in Chinese and Foreign Languages in the Past Two Decades——Visual Analysis Based on CiteSpace

doi:10.11733/j.issn.1007-0435.2021.06.002

Acta Agrestia Sinica ›› 2021, Vol. 29 ›› Issue (6): 1136-1147.DOI: 10.11733/j.issn.1007-0435.2021.06.002

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Hot Topics and Frontier Evolution of Grassland Remote Sensing Research in Chinese and Foreign Languages in the Past Two Decades——Visual Analysis Based on CiteSpace

YANG Xin, TANG Zhuang-sheng, YU Xiao-jun, CAO Wen-xia, PU Xiao-peng, HAO Yuan-yuan

College of Pratacultural Science, Gansu Agricultural University, Key Laboratory of Grassland Ecosystem, Ministry of Education, Lanzhou, Gansu Province 730070, China

Received:2020-11-18 Revised:2021-01-04 Online:2021-06-15 Published:2021-07-05

近二十年中外文草地遥感研究热点及前沿演进——基于CiteSpace的数据可视化分析

杨鑫, 唐庄生, 鱼小军, 曹文侠, 蒲小鹏, 郝媛媛

甘肃农业大学草业学院/草业生态系统教育部重点实验室, 甘肃兰州 730070

通讯作者: 郝媛媛,E-mail:haoyy@gsau.edu.cn
作者简介:杨鑫(1996-)，男，汉，甘肃临洮人，硕士研究生，主要从事草地遥感研究，E-mail：yangxin163yx@163.com
基金资助:
国家自然科学青年基金项目（41907406）；国家重点研发计划（2016YFC0501904）；国家自然科学地区基金项目（32060269）；甘肃农业大学科技创新基金（GAU-KYQD-2018-23；GAU-KYQD-2018-09）；甘肃省林草局项目（GSLC-2020-5）资助

Abstract

Abstract: 1 388 research papers about grassland remote sensing studies from 2000 to 2019 were retrieved from the Web of Science (WOS) database and the China National Knowledge Infrastructure (CNKI) database. Then publication trends,journals,disciplines,countries,institutions,authors,research hotspots,vitality,etc.,were analyzed from qualitative and quantitative perspectives by using the software CiteSpace (version Ⅴ) in the form of literature visualization. The results indicated that Grassland Remote Sensing research has the characteristics of multi-field and multi-disciplinary integration. The number of published papers in both Chinese and foreign languages is increasing,and the core journals are led by Remote Sensing. China has high enthusiasm in this field,but its influence is smaller than that of the United States and Germany. A total of 488 scientific research institutions in 83 countries have carried out cooperation for 793 times in the field of grassland remote sensing research,and the domestic cooperation and exchanges among the institutions are more frequent than those among the international ones. There is no stable group of authors among core authors,and the intra-group communication and cooperation among common authors is much more than those between groups. Research hotpots in Chinese and foreign languages are focused on grassland ecological governance and resource utilization. Compared with foreign studies,Chinese studies concentrate on solving problems of current grassland ecology. The 5 references cited with the highest citation frequency have a short half-life period (2.5~3.5 years) and a faster aging rate.

Key words: Grassland remote sensing, Hot topics and frontier, CiteSpace, Visual analysis

摘要： 本文以Web of Science和CNKI数据库中检索到的2000—2019年有关草地遥感研究的1 388篇文献为数据源，运用CiteSpace Ⅴ软件从发文趋势、期刊、学科、国家、机构、作者、研究热点、活力等角度，定性定量地开展文献可视化分析。结果表明：草地遥感研究具有多领域、多学科交叉融合特点，中外文发文量均随年份的增加呈上升趋势，核心期刊以Remote Sensing为首；中国在该领域有较高的积极性，但影响力低于美国和德国；共有83个国家的488个科研机构就草地遥感领域的研究展开了793次合作，各机构国内合作交流较国际间频繁；核心作者间未形成稳定的作者群，且普通作者形成的合作群体内部交流合作远多于群体之间；中外文研究热点共同集中在草原生态治理和资源利用上，相比于外文，中文研究更加集中在解决当前草原生态问题；高被引文献半衰期较短（2.5~3.5年），文献老化速度较快。

关键词: 草地遥感, 研究热点与前沿, CiteSpace, 可视化分析

CLC Number:

S127

YANG Xin, TANG Zhuang-sheng, YU Xiao-jun, CAO Wen-xia, PU Xiao-peng, HAO Yuan-yuan. Hot Topics and Frontier Evolution of Grassland Remote Sensing Research in Chinese and Foreign Languages in the Past Two Decades——Visual Analysis Based on CiteSpace[J]. Acta Agrestia Sinica, 2021, 29(6): 1136-1147.

杨鑫, 唐庄生, 鱼小军, 曹文侠, 蒲小鹏, 郝媛媛. 近二十年中外文草地遥感研究热点及前沿演进——基于CiteSpace的数据可视化分析[J]. 草地学报, 2021, 29(6): 1136-1147.

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References

[1] 谢双红. 北方牧区草畜平衡与草原管理研究[D]. 北京:中国农业科学院,2005:1-2
[2] 孙特生,包亚琴,李文彦. 基于草地资源可持续利用的干旱半干旱区草牧业发展策略——以新疆阿勒泰地区为例[J]. 生态学杂志,2020,39(10):3509-3520
[3] Camille P,Gary Y. A globally coherent fingerprint of climate change impacts across natural systems[J]. Nature,2003,421(6918):37-42
[4] 李元春,侯蒙京,葛静,等. 甘南和川西北地区草地植被NDVI变化及其驱动因素研究[J]. 草地学报,2020,28(6):1690-1701
[5] 姚玉娇,梁婷,马源,等. 土壤微生物群落多样性对高寒草甸退化程度的响应[J]. 草地学报,2020,28(6):1489-1497
[6] 李小艳,董世魁,朱磊,等. 三江源区高寒草地退化与恢复过程中二氧化碳净交换特征[J]. 生态学杂志,2010,29(10):1944-1949
[7] 徐翠,张林波,杜加强,等. 三江源区高寒草甸退化对土壤水源涵养功能的影响[J]. 生态学报,2013,33(8):2388-2399
[8] 王文颖,王启基. 高寒嵩草草甸退化生态系统植物群落结构特征及物种多样性分析[J]. 草业学报,2001,10(3):8-14
[9] 王向辉. 西北地区环境变迁与农业可持续发展研究[D]. 杨凌:西北农林科技大学,2012:1-2
[10] 李洋. 贵州省喀斯特山区草地地上生物量遥感反演研究[D]. 贵州:贵州师范大学,2018:1-2
[11] 高瑞莲,吴健平. 3S技术在生物多样性研究中的应用[J]. 遥感技术与应用,2000,15(3):205-209
[12] 白春华. 遥感和GIS在草地资源调查中的应用——以新巴尔虎右旗为例[D]. 呼和浩特:内蒙古农业大学,2002:6-10
[13] 那亚. 克什克腾旗草地资源特征研究[D]. 呼和浩特:内蒙古农业大学,2010:2-4
[14] Taylor B F,Dini P W, Kidson J W. Determination of seasonal and interannual variation in New Zealand pasture growth from NOAA-7 data[J]. Remote Sensing of Environment,1985,18(2):177-192
[15] Jose' M. Paruelo,Epstein H E,Lauenroth W K,et al. ANPP Estimates from NDVI for the Central Grassland Region of the United States[J]. Ecology,1997,78(3):953-958
[16] Kithsiri P,Armando A. Analysing biomass fluctuations in Mitchell grassland Australia in wet and dry rainy months using MODIS data[J]. Networking the World with Remote Sensing,2010,38(4):553-558
[17] Ayako S W T,Sawahiko S. Detection of grassland degradation using MODIS data in Mongolia[J]. Journal of Arid Environments,2014,24(1):175-178
[18] Dusseux P,Hubert-Moy L,Corpetti T,et al. Evaluation of SPOT imagery for the estimation of grassland biomass[J]. International Journal of Applied Earth Observation and Geoinformation,2015,38:72-77
[19] 彭丽. 基于MODIS和气象数据的陕西省小麦与玉米产量估算模型研究[D]. 杭州:浙江大学,2014:2-3
[20] 黄签. NOAA影像在宏观植被季相动态遥感中的应用[J]. 遥感信息,1986(4):32-34,52-53
[21] 李博,史培军,林小泉. 我国温带草地草畜平衡动态监测系统的研究[J]. 草地学报,1995(2):95-102
[22] 李建龙,蒋平,赵德华,等. 3S技术在草地产量生态成因分析与农业资源估测中的应用研究[J]. 中国草地,2003(3):16-24
[23] 张旭琛,朱华忠,钟华平,等. 新疆伊犁地区草地植被地上生物量遥感反演[J]. 草业学报,2015,24(6):25-34
[24] 梁天刚,崔霞,冯琦胜,等. 2001-2008年甘南牧区草地地上生物量与载畜量遥感动态监测[J]. 草业学报,2009,18(6):12-22
[25] 荀其蕾. 基于MODIS和气象数据的新疆草地地上生物量估测模型研究[D]. 乌鲁木齐:新疆农业大学,2017:4-12
[26] 陈悦,陈超美,刘则渊,等. CiteSpace知识图谱的方法论功能[J]. 科学学研究,2015,33(2):242-253
[27] 郑海朋,阎建忠,刘林山,等. 基于文献计量的草地遥感研究进展[J]. 中国草地学报,2017,39(4):101-110,115
[28] 杨瑞仙,姜小函. 从学科和期刊的引证视角看交叉学科的知识结构和演化问题——以图书情报学科为例的实证研究[J]. 图书情报工作,2018,62(5):30-39
[29] 易魁,纪辉婷,鲁丽红. 新时代多学科交叉融合研究及趋势探索——基于Citespace的文献计量分析[J]. 教育教学论坛,2020(9):173-175
[30] Hirsch J E. An Index to Quantify an Individual's Scientific Research Output[J]. Proceedings of the National Academy of Sciences of the United States of America,2005,102(46):16569-16572
[31] 林德明,陈超美,刘则渊. 共被引网络中介中心性的Zipf-Pareto分布研究[J]. 情报学报,2011,30(1):76-82
[32] 陈必坤. 学科知识可视化分析研究[D]. 武汉:武汉大学,2014:138-140
[33] 肖黎明,肖沁霖. 国内外绿色创新研究进展与热点——基于CiteSpace的可视化分析[J]. 资源开发与市场,2018,34(9):1212-1220
[34] 周春雷. 基于h指数的核心作者遴选方法的比较研究[J]. 中国科技资源导刊,2009,41(1):46-51
[35] 钟镇. 从Web of Science看中部地区省内地市高层次学术成果合作特征——以河南省为例[J]. 情报科学,2015,33(6):120-125
[36] 诸葛福民,李淑娜,范俊峰. 基于CiteSpace的网络文化发展演变与趋势研究[J]. 河北工程大学学报(社会科学版),2020,37(3):67-71
[37] 冯佳,王克非,刘霞. 近二十年国际翻译学研究动态的科学知识图谱分析[J]. 外语电化教学,2014(1):11-20
[38] 李杰,陈超美. CiteSpace科技文本挖掘及可视化[M]. 北京:北京首都经济贸易大学出版社,2016:71-123
[39] 丁陆彬,何思源,闵庆文. 应用CiteSpace对生态学科meta分析的文献计量学和可视化分析[J]. 生态学报,2019,39(24):9416-9423
[40] 周广胜,张新时. 自然植被净第一性生产力模型初探[J]. 植物生态学报,1995,19(3):193-200
[41] 刘世荣,代力民,温远光,等. 面向生态系统服务的森林生态系统经营:现状、挑战与展望[J]. 生态学报,2015,35(1):1-9
[42] 魏佳珩. 青藏高原植被的时空变化及其对极端气候事件的响应[D]. 北京:中国地质大学,2020:4-7
[43] Yang Y H,Fang J Y,Pan Y D,et al. Aboveground biomass in Tibetan grasslands[J]. Journal of Arid Environments,2009,73(1):91-95
[44] Bork W E,West N E,Kevin P R,et al. Rangeland Cover Component Quantification Using Broad (TM) and Narrow-Band (1.4 NM) Spectrometry[J]. Journal of Range Management,1999,52(3):249-257
[45] Mcadam J H. High and low resolution TM data for the assessment of herbage and sward characteristics in small fields[J]. International Journal of Remote Sensing,1997,18(14):3027-3037
[46] 高金龙,刘洁,殷建鹏,等. 天然草地牧草营养品质的高光谱遥感研究进展[J]. 草业学报,2020,29(2):172-185
[47] Xu W,Gong J,Wang M. Development,application,and prospects for Chinese land observation satellites[J]. Geo-spatial Information Science,2014,17(2):102-109
[48] 周磊,辛晓平,李刚,等. 高光谱遥感在草原监测中的应用[J]. 草业科学,2009,26(4):20-27
[49] Ramoelo A,Skidmore A K,Cho M A,et al. Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2013,82:27-40
[50] Gao J,Meng B,Liang T,et al. Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau,China[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2019,147:104-117
[51] 陈芳,马英芳,申红艳,等. 长江源区近44年气候变化的若干统计分析[J]. 气象科技,2007(3):340-344
[52] 张宇硕,吴殿廷,吕晓. 土地利用/覆盖变化对生态系统服务的影响:空间尺度视角的研究综述[J]. 自然资源学报,2020,35(5):1172-1189
[53] 黄金亭,曹艳萍,秦奋. 基于土地利用/覆盖变化模拟的黄河流域生态环境质量分析[J]. 河南大学学报(自然科学版),2020,50(2):127-138
[54] 孙建国,张卓,韩惠,等. 气候和人类因素在黄土高原西北部植被变化中的贡献率研究[J]. 遥感信息,2014,29(2):83-88
[55] 王福成,赵彦玲,马素洁,等. 基于MODIS影像的藏北草地植被覆盖度时空变化趋势分析[J]. 高原农业,2020,4(4):399-404,439
[56] 朱宁,常伟纲,贾小凤. 三江源草地覆盖度时空变化及对气候的响应[J]. 北京测绘,2020,34(4):495-500
[57] 王海,王连喜,杨祖祥,等. 荒漠化遥感监测与评估的应用研究动态[J]. 灾害学,2017,32(4):153-161
[58] 顾祝军. 植被覆盖度的照相法测算及其与植被指数关系研究[D]. 南京:南京师范大学,2005:13-24
[59] 李琳,谭炳香,冯秀兰. 北京郊区植被覆盖变化动态遥感监测——以怀柔区为例[J]. 农业网络信息,2008(6):38-41
[60] 黄鑫,刘建红,申克建,等. 基于MODIS的青海草地产草量变化遥感分析[J]. 干旱区地理,2020,43(3):715-725
[61] 鹿海员. 牧区"水-土-草-畜"平衡调控模式与方法研究[D]. 北京:中国水利水电科学研究院,2017:21-23
[62] 金花. 基于3S技术支持的草地营养与载畜量评价研究[D]. 呼和浩特:内蒙古农业大学,2008:52-54
[63] 刘真,苏秦,云雅君,等. 中国北方草原草畜代谢能平衡分析与对策研究[J]. 农业工程技术,2017,37(11):60
[64] 杨博,吴建平,杨联,等. 中国北方草原草畜代谢能平衡分析与对策研究[J]. 草业学报,2012,21(2):187-195
[65] 王迅,刘书杰,贾海峰,等. 基于高光谱数据的高寒草地营养状况的研究[J]. 光谱学与光谱分析,2012,32(10):2780-2784
[66] 串丽敏,郑怀国,赵同科,等. 基于Web of Science数据库的土壤污染修复领域发展态势分析[J]. 农业环境科学学报,2016,35(1):12-20
[67] Baoxiong C,Xianzhou Z,Jian T,et al. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau[J]. Agricultural and Forest Meteorology,2014,189:11-18
[68] Zhang G,Zhang Y,Dong J,et al. Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011[J]. Proceedings of the National Academy of Sciences of the United States of America,2013,110(11):4309-4314
[69] Jin Y,Yang X,Qiu J,et al. Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland,Northern China[J]. Remote Sensing,2014,6(2):1496-1513
[70] Ali I,Cawkwell F,Dwyer E,et al. Satellite remote sensing of grasslands:from observation to management[J]. Journal of Plant Ecology,2016,9(6):649-671
[71] Xu D,Guo X,Li Z,et al. Measuring the dead component of mixed grassland with Landsat imagery[J]. Remote Sensing of Environment,2014,142:33-43

Hot Topics and Frontier Evolution of Grassland Remote Sensing Research in Chinese and Foreign Languages in the Past Two Decades——Visual Analysis Based on CiteSpace

近二十年中外文草地遥感研究热点及前沿演进——基于CiteSpace的数据可视化分析

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[3]	WANG Xiu-mei, DONG Jian-jun. Estimation of the Aboveground Biomass of Desert Steppe and Typical Steppe in Inner Mongolia Using Generalized Linear Model [J]. Acta Agrestia Sinica, 2020, 28(6): 1711-1718.