黄河流域生态水文学研究态势分析

doi:10.7523/j.ucas.2022.025

中国科学院大学学报 ›› 2023, Vol. 40 ›› Issue (1): 29-38.DOI: 10.7523/j.ucas.2022.025

• 环境科学与地理学 • 上一篇

黄河流域生态水文学研究态势分析

李通^1,2, 崔丽珍^3,4, 杨雅茜^4,5, 宋秀芳^6,7, 唐立^1,2, 崔骁勇^3,4, 郝彦宾^3,4, 王艳芬^1,4

1. 中国科学院大学资源与环境学院, 北京 100049;
2. 格里菲斯大学地球健康和粮食安全中心, 布里斯班 4111, 澳大利亚;
3. 中国科学院大学生命科学学院, 北京 100049;
4. 中国科学院大学北京燕山地球关键带国家野外科学观测研究站, 北京 101408;
5. 中国科学院大学中丹学院/中丹科教中心, 北京 100049;
6. 中国科学院文献情报中心, 北京 100190;
7. 中国科学院大学图书情报与档案管理系, 北京 100049

收稿日期:2022-01-05 修回日期:2022-03-30 发布日期:2022-04-07
通讯作者: 崔骁勇,E-mail:cuixy@ucas.ac.cn
基金资助:
国家自然科学基金(42041005)和中国科学院战略性先导科技专项A类项目(XDA20050103)资助

Trend analysis of ecohydrology research of Yellow River Basin

LI Tong^1,2, CUI Lizhen^3,4, YANG Yaqian^4,5, SONG Xiufang^6,7, TANG Li^1,2, CUI Xiaoyong^3,4, HAO Yanbin^3,4, WANG Yanfen^1,4

1. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
2. Centre for Planetary Health and Food Security, Griffith University, Brisbane, QLD 4111, Australia;
3. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049,China;
4. Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing 100408, China;
5. Sino-Danish College/Sino-Danish Center, University of Chinese Academy of Sciences, Beijing 100049, China;
6. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
7. Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2022-01-05 Revised:2022-03-30 Published:2022-04-07

摘要/Abstract

摘要： 黄河流域是中国“一带一路”发展的重要经济廊道，维持黄河流域的生态健康对中国经济社会发展和生态安全具有十分重要的作用。受气候变化和人类活动的影响，黄河流域出现上游植被退化、中游水沙锐减、下游用水紧张、河口三角洲退缩等生态危机，严重制约了流域内的生态文明进程和经济高质量发展。以1990—2020年间Web of Science数据库中收录的5190篇相关文献和145781条参考文献为研究样本，采用可视化知识网络分析和科学计量法，从文献产出规律、

关键词: 科学计量, 植被退化, 退耕还林, 河口湿地, 可视化

Abstract: The Yellow River Basin is a critical economic corridor for the implementation of the Belt and Road initiative. Maintaining the ecological health of the Yellow River is important for both the national social-economic development and ecological security. However, due to human activities and climate change, the Yellow River Basin has experienced ecological crises, such as degradation of vegetation in the upper reaches, sharp reduction of water and sand in the middle reaches, water shortage in the lower reaches, and retreat of the estuarine delta. This has seriously restricted the high-quality development of the Yellow River Basin and the process of ecological civilization in China. This study uses 5 190 related literature and 145 781 references in the Web of Science (WOS) database during 1990-2020 as the research sample. By scientometric and visual knowledge network methods, it analyzes the literature output pattern, keyword co-occurrence network, and future development of hydrology research in Yellow River Basin. Specifically, it quantifies and visualizes the current status, main institutions, academic journals, high-producing authors, and hot themes of the research at a multi-dimensional and deep level. Thus, this study aims at facilitating relevant researchers to get a panorama view, so as to focus the directions of ecohydrological research of the Yellow River Basin.

Key words: scientometric analysis, vegetation degradation, grain for green, estuarine wetland, visualization

中图分类号:

Q149
P343.1

李通, 崔丽珍, 杨雅茜, 宋秀芳, 唐立, 崔骁勇, 郝彦宾, 王艳芬. 黄河流域生态水文学研究态势分析[J]. 中国科学院大学学报, 2023, 40(1): 29-38.

LI Tong, CUI Lizhen, YANG Yaqian, SONG Xiufang, TANG Li, CUI Xiaoyong, HAO Yanbin, WANG Yanfen. Trend analysis of ecohydrology research of Yellow River Basin[J]. Journal of University of Chinese Academy of Sciences, 2023, 40(1): 29-38.

参考文献

[1] Shen X L, Tan J X. Ecological conservation, cultural preservation, and a bridge between: the journey of Shanshui conservation center in the Sanjiangyuan region, Qinghai-Tibetan Plateau, China[J]. Ecology and Society, 2012, 17(4): art38. DOI:10.5751/es-05345-170438.
[2] Wang X X, Dong S K, Yang B, et al. The effects of grassland degradation on plant diversity, primary productivity, and soil fertility in the alpine region of Asia’s headwaters[J]. Environmental Monitoring and Assessment, 2014, 186(10): 6903-6917. DOI:10.1007/s10661-014-3898-z.
[3] Wei Y J, Zhen L, Du B Z. Effects of grassland restoration approaches in different major function-oriented zones of the headwater region of the Yellow River in China[J]. Journal of Resources and Ecology, 2020, 11(2): 150. DOI:10.5814/j.issn.1674-764x.2020.02.003.
[4] Zhou D G, Huang R H. Response of water budget to recent climatic changes in the source region of the Yellow River[J]. Chinese Science Bulletin, 2012, 57(17): 2155-2162. DOI:10.1007/s11434-012-5041-2.
[5] 王艳芬, 陈怡平, 王厚杰, 等. 黄河流域生态系统变化及其生态水文效应[J]. 中国科学基金, 2021, 35(4): 520-528. DOI:10.16262/j.cnki.1000-8217.2021.04.004.
[6] Zhang W K, Yu G R, Chen Z, et al. Attribute parameter characterized the seasonal variation of gross primary productivity (αGPP): spatiotemporal variation and influencing factors[J]. Agricultural and Forest Meteorology, 2020, 280: 107774. DOI:10.1016/j.agrformet.2019.107774.
[7] Zhang Y, Chen Y P. Research trends and areas of focus on the Chinese Loess Plateau: a bibliometric analysis during 1991-2018[J]. CATENA, 2020, 194: 104798. DOI:10.1016/j.catena.2020.104798.
[8] Zaimes G N. Mediterranean riparian areas: climate change implications and recommendations[J]. Journal of Environmental Biology, 2020, 41(5): 957-965. DOI:10.22438/jeb//41/5/mrn-1454.
[9] Venkataramanan V, Lopez D, McCuskey D J, et al. Knowledge, attitudes, intentions, and behavior related to green infrastructure for flood management: a systematic literature review[J]. Science of the Total Environment, 2020, 720: 137606. DOI:10.1016/j.scitotenv.2020.137606.
[10] Gutry-Korycka M. The influence of hydro-climatological balances and nature-based solutions (NBS) in the management of water resources[J]. Meteorology Hydrology and Water Management, 2020: 8(1): 4-27. DOI:10.26491/mhwm/110415.
[11] Cao J J, Li M T, Deo R C, et al. Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau[J]. Land Use Policy, 2018, 74: 88-96. DOI:10.1016/j.landusepol.2017.07.027.
[12] Wang L J, Zhang G M, Wang Z Y, et al. Bibliometric analysis of remote sensing research trend in crop growth monitoring: a case study in China[J]. Remote Sensing, 2019, 11(7): 809. DOI:10.3390/rs11070809.
[13] Chen C M, Hu Z G, Liu S B, et al. Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace[J]. Expert Opinion on Biological Therapy, 2012, 12(5): 593-608. DOI:10.1517/14712598.2012.674507.
[14] Li T, Cui L Z, Xu Z H, et al. Quantitative analysis of the research trends and areas in grassland remote sensing: a scientometrics analysis of web of science from 1980 to 2020[J]. Remote Sensing, 2021, 13(7): 1279. DOI:10.3390/rs13071279.
[15] Chen C M. Science mapping: a systematic review of the literature[J]. Journal of Data and Information Science, 2017, 2(2): 1-40. DOI:10.1515/jdis-2017-0006.
[16] Chen C M. Grand challenges in measuring and characterizing scholarly impact[EB/OL]. 2016: arXiv: 1603.00812[cs.DL]. https://arxiv.org/abs/1603.00812.
[17] Chen C M, Ibekwe-SanJuan F, Hou J H. The structure and dynamics of cocitation clusters: a multiple-perspective cocitation analysis[J]. Journal of the American Society for Information Science and Technology, 2010, 61(7): 1386-1409. DOI:10.1002/asi.21309.
[18] Zhang S, Gan W B, Ittekkot V. Organic matter in large turbid rivers: the Huanghe and its estuary[J]. Marine Chemistry, 1992, 38(1/2): 53-68. DOI:10.1016/0304-4203(92)90067-K.
[19] Maher B A. Magnetic properties of modern soils and quaternary loessic paleosols: paleoclimatic implications[J]. Palaeogeography, Palaeoclimatology, Palaeoecology, 1998, 137(1/2): 25-54. DOI:10.1016/S0031-0182(97)00103-X.
[20] Walling D E. Human impact on land-ocean sediment transfer by the world’s rivers[J]. Geomorphology, 2006, 79(3/4): 192-216. DOI:10.1016/j.geomorph.2006.06.019.
[21] Gyssels G, Poesen J, Bochet E, et al. Impact of plant roots on the resistance of soils to erosion by water: a review[J]. Progress in Physical Geography: Earth and Environment, 2005, 29(2): 189-217. DOI:10.1191/0309133305pp443ra.
[22] Duan P L, Wang Y Q, Yin P. Remote sensing applications in monitoring of protected areas: a bibliometric analysis[J]. Remote Sensing, 2020, 12(5): 772. DOI:10.3390/rs12050772.
[23] Sarkodie S A, Strezov V. A review on environmental Kuznets curve hypothesis using bibliometric and meta-analysis [J]. Science of the Total Environment, 2019, 649: 128-145. DOI: 10.1016/j.scitotenv.2018.08.276.
[24] van Eck N J, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2): 523-538. DOI:10.1007/s11192-009-0146-3.
[25] 马柱国, 符淙斌, 周天军, 等. 黄河流域气候与水文变化的现状及思考[J]. 中国科学院院刊, 2020, 35(1): 52-60. DOI:10.16418/j.issn.1000-3045.20191223002.
[26] Jiang C, Zhang L B. Ecosystem change assessment in the Three-river Headwater Region, China: patterns, causes, and implications[J]. Ecological Engineering, 2016, 93: 24-36. DOI:10.1016/j.ecoleng.2016.05.011.
[27] Tang Q, Bennett S J, Xu Y, et al. Agricultural practices and sustainable livelihoods: rural transformation within the Loess Plateau, China[J]. Applied Geography, 2013, 41: 15-23. DOI:10.1016/j.apgeog.2013.03.007.
[28] Feng X M, Fu B J, Piao S L, et al. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits[J]. Nature Climate Change, 2016, 6:1019-1022. DOI:10.1038/nclimate3092.
[29] Xu Z H, Wei H J, Fan W G, et al. Energy modeling simulation of changes in ecosystem services before and after the implementation of a Grain-for-Green program on the Loess Plateau: a case study of the Zhifanggou valley in Ansai County, Shaanxi Province, China[J]. Ecosystem Services, 2018, 31: 32-43. DOI:10.1016/j.ecoser.2018.03.013.
[30] Zheng K, Wei J Z, Pei J Y, et al. Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau[J]. Science of the Total Environment, 2019, 660: 236-244. DOI:10.1016/j.scitotenv.2019.01.022.
[31] Wu X, Bi N S, Xu J P, et al. Stepwise morphological evolution of the active Yellow River (Huanghe) delta lobe (1976-2013): dominant roles of riverine discharge and sediment grain size[J]. Geomorphology, 2017, 292: 115-127. DOI:10.1016/j.geomorph.2017.04.042.
[32] Bi N S, Wang H J, Yang Z S. Recent changes in the erosion-accretion patterns of the active Huanghe (Yellow River) delta lobe caused by human activities[J]. Continental Shelf Research, 2014, 90: 70-78. DOI:10.1016/j.csr.2014.02.014.
[33] Zhou R, Li Y Z, Wu J J, et al. Need to link river management with estuarine wetland conservation: a case study in the Yellow River Delta, China[J]. Ocean & Coastal Management, 2017, 146: 43-49. DOI:10.1016/j.ocecoaman.2017.06.004.

黄河流域生态水文学研究态势分析

Trend analysis of ecohydrology research of Yellow River Basin

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