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Guo WW, Jin L, Liu X, Wang WT. Vulnerability and driving mechanism of four typical grasslands in China under the coupled impacts of climate change and human activities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175560. [PMID: 39153618 DOI: 10.1016/j.scitotenv.2024.175560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 08/13/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Understanding of how different grasslands types respond to climate change and human activities across different spatial and temporal dimensions is crucial for devising effective strategies to prevent grasslands degradation. In this study, we developed a novel vulnerability assessment model for grasslands that intricately evaluates the combined impact of climate change and human activities. We then applied this model to analyze the vulnerability and driving mechanism of four representative Chinese grasslands to climate change and human activities. Our findings indicate that the vulnerability of the four grasslands would show a pattern of higher in the west and lower in the east under the influence of climate change alone. However, when human activities are factored in, the vulnerability across the four grasslands tends to homogenize, with human activities notably reducing the vulnerability of alpine grasslands in the west and, conversely, increasing the vulnerability of grasslands in the east. Furthermore, our study reveals distinct major environmental drivers of grasslands vulnerability across different regions. The two western alpine grasslands exhibit higher vulnerability to annual mean temperature and isothermality compared to the eastern temperate grasslands, while their vulnerability to precipitation of the coldest quarter is lower than that of the eastern temperate grasslands. These findings are helpful for understanding the multifaceted causes and mechanisms of grasslands degradation, providing a scientific foundation for the sustainable management and conservation of grassland resources.
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Affiliation(s)
- Wen-Wen Guo
- School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, People's Republic of China
| | - Lei Jin
- Zhalantun Vacational College, Hulunbuir 162600, People's Republic of China
| | - Xiang Liu
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, 222 Tian shui South Road, Lanzhou 730000, People's Republic of China.
| | - Wen-Ting Wang
- School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, People's Republic of China.
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Li T, Singh RK, Cui L, Xu Z, Liu H, Fava F, Kumar S, Song X, Tang L, Wang Y, Hao Y, Cui X. Navigating the landscape of global sustainable livelihood research: past insights and future trajectory. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:103291-103312. [PMID: 37684508 DOI: 10.1007/s11356-023-29567-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023]
Abstract
Sustainable livelihoods (SL) have emerged as a crucial area of focus in global environmental change research, aligning with the Sustainable Development Goals (SDGs). This field is rapidly gaining prominence in sustainability science and has become one of the primary research paradigms. In our study, we conducted scientometrics analysis using the ISI Web of Science core collection database to examine research patterns and frontier areas in SL research. We selected 6441 papers and 265,759 references related to SL published from 1991 to 2020. To achieve this, we employed advanced quantitative analysis tools such as CiteSpace and VOSviewer to quantitatively analyze and visualize the evolution of literature in the SL research field. Our overarching objectives were to understand historical research characteristics, identify the knowledge base, and determine future research trends. The results revealed an exponential increase in SL research documentation since 1991, with the Consortium of International Agricultural Research Center (CGIAR) contributing the highest volume of research documents and citations. Key journals in this field included World Development, Global Environmental Change, Ecological Economics, and Ecology and Society. Notably, Singh RK and Shackleton CM emerged as prolific authors in SL research. Through our analysis, we identified six primary clusters of research areas: livelihoods, conservation, food security, management, climate change, and ecosystem services. Additionally, we found that tags such as rural household, agricultural intensification, cultural intensification, and livelihoods vulnerability remained relevant and represented active research hotspots. By analyzing keyword score relevance, we identified frontier areas in SL research, including mass tourism, solar home systems, artisanal and small-scale mining, forest quality, marine-protected areas, agricultural sustainability, sustainable rangeland management, and indigenous knowledge. These findings provide valuable insights to stakeholders regarding the historical, current, and future trends in SL research, offering strategic opportunities to enhance the sustainability of livelihoods for farmers and rural communities in alignment with the SDGs.
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Affiliation(s)
- Tong Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Nathan, Brisbane, QLD, 4111, Australia
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Ranjay K Singh
- College of Horticulture and Forestry, Central Agricultural University, Arunachal Pradesh, Pasighat, 791102, India
- ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, India
| | - Lizhen Cui
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Zhihong Xu
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Nathan, Brisbane, QLD, 4111, Australia
| | - Hongdou Liu
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Nathan, Brisbane, QLD, 4111, Australia
| | - Francesco Fava
- Department of Environmental Science and Policy, Università Degli Studi Di Milano, Festa del Perdono Milano, Milano, 720122, Italy
| | - Shalander Kumar
- International Crop Research Institute for the Semi-Arid Tropics, Patancheru, 502324, India
| | - Xiufang Song
- National Science Library, Chinese Academy of Sciences, Beijing, 100190, China
| | - Li Tang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Nathan, Brisbane, QLD, 4111, Australia
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Yanfen Wang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanbin Hao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Xiaoyong Cui
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China.
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Wang B, Liu J, Liu Q, Sun J, Zhao Y, Liu J, Gao W, Chen Y, Sui P. Knowledge domain and research progress in the field of crop rotation from 2000 to 2020: a scientometric review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:86598-86617. [PMID: 37421528 DOI: 10.1007/s11356-023-28266-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 06/10/2023] [Indexed: 07/10/2023]
Abstract
As one of the most fundamental and prevalent agronomic practices, crop rotation is of great significance for the optimization of regional planting structure and sustainable agricultural development. Therefore, crop rotation has attracted continuous attention from both researchers and producers worldwide. In recent years, many review articles have been published in the field of crop rotation. However, since most reviews usually focus on specialized directions and topics, only few systematic quantitative reviews and comprehensive analysis can fully determine the state of research. To address this knowledge gap, we present a scientometric review to determine the current research status of crop rotation by using CiteSpace software. The main findings were as follows: (1) From 2000 to 2020, five knowledge domains were identified as representing the intellectual base of crop rotation: (a) synergism and comparison of conservation agriculture measures or other management measures; (b) soil microecology, pest control, weed control, and plant disease control; (c) soil carbon sequestration and greenhouse gases (GHGs) emissions; (d) organic crop rotation and double cropping patterns; and (e) soil properties and crop productivity. (2) Six notable research fronts were identified: (a) plant-soil microbial interactions under crop rotation; (b) integrated effect with minimum soil disturbance and crop retention; (c) carbon sequestration and GHG emission reduction; (d) impact on weed control; (e) heterogeneity of rotation effects under different weather and soil conditions; and (f) comparison between long-term and short-term rotation. Overall, this study provides a comprehensive overview of crop rotation and proposes some future development trends for the researchers.
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Affiliation(s)
- Biao Wang
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Jing Liu
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Qing Liu
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Jingbo Sun
- Cofco Trading Corporation, Tower A, COFCO Plaza, No. 8 Jianguomennei Avenue, Dongcheng District, Beijing, 100005, China
| | - Yingxing Zhao
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Jin Liu
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Wangsheng Gao
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Yuanquan Chen
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Peng Sui
- College of Agronomy and Biotechnology, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
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Exploring the frontiers of sustainable livelihoods research within grassland ecosystem: A scientometric analysis. Heliyon 2022; 8:e10704. [PMID: 36203909 PMCID: PMC9529551 DOI: 10.1016/j.heliyon.2022.e10704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 07/06/2022] [Accepted: 09/14/2022] [Indexed: 11/23/2022] Open
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Zhang Y, Zhao D, Liu H, Huang X, Deng J, Jia R, He X, Tahir MN, Lan Y. Research hotspots and frontiers in agricultural multispectral technology: Bibliometrics and scientometrics analysis of the Web of Science. FRONTIERS IN PLANT SCIENCE 2022; 13:955340. [PMID: 36035687 PMCID: PMC9404299 DOI: 10.3389/fpls.2022.955340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Multispectral technology has a wide range of applications in agriculture. By obtaining spectral information during crop production, key information such as growth, pests and diseases, fertilizer and pesticide application can be determined quickly, accurately and efficiently. The scientific analysis based on Web of Science aims to understand the research hotspots and areas of interest in the field of agricultural multispectral technology. The publications related to agricultural multispectral research in agriculture between 2002 and 2021 were selected as the research objects. The softwares of CiteSpace, VOSviewer, and Microsoft Excel were used to provide a comprehensive review of agricultural multispectral research in terms of research areas, institutions, influential journals, and core authors. Results of the analysis show that the number of publications increased each year, with the largest increase in 2019. Remote sensing, imaging technology, environmental science, and ecology are the most popular research directions. The journal Remote Sensing is one of the most popular publishers, showing a high publishing potential in multispectral research in agriculture. The institution with the most research literature and citations is the USDA. In terms of the number of papers, Mtanga is the author with the most published articles in recent years. Through keyword co-citation analysis, it is determined that the main research areas of this topic focus on remote sensing, crop classification, plant phenotypes and other research areas. The literature co-citation analysis indicates that the main research directions concentrate in vegetation index, satellite remote sensing applications and machine learning modeling. There is still a lot of room for development of multi-spectrum technology. Further development can be carried out in the areas of multi-device synergy, spectral fusion, airborne equipment improvement, and real-time image processing technology, which will cooperate with each other to further play the role of multi-spectrum in agriculture and promote the development of agriculture.
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Affiliation(s)
- Yali Zhang
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Dehua Zhao
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Hanchao Liu
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Xinrong Huang
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Jizhong Deng
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Ruichang Jia
- College of Engineering, South China Agricultural University, Guangzhou, China
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
| | - Xiaoping He
- Department of Information Consulting, Library, South China Agricultural University, Guangzhou, China
| | - Muhammad Naveed Tahir
- Department of Agronomy, Pir Mehr Ali Shah-Arid Agriculture University, Rawalpindi, Pakistan
| | - Yubin Lan
- National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China
- College of Electronic Engineering and College of Artificial Intelligence, South China Agricultural University, Guangzhou, China
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Li T, Cui L, Liu L, Wang H, Dong J, Wang F, Song X, Che R, Li C, Tang L, Xu Z, Wang Y, Du J, Hao Y, Cui X. Characteristics of nitrogen deposition research within grassland ecosystems globally and its insight from grassland microbial community changes in China. FRONTIERS IN PLANT SCIENCE 2022; 13:947279. [PMID: 35991446 PMCID: PMC9386444 DOI: 10.3389/fpls.2022.947279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
As global change continues to intensify, the mode and rate of nitrogen input from the atmosphere to grassland ecosystems had changed dramatically. Firstly, we conducted a systematic analysis of the literature on the topic of nitrogen deposition impacts over the past 30 years using a bibliometric analysis. A systematic review of the global research status, publication patterns, research hotspots and important literature. We found a large number of publications in the Chinese region, and mainly focuses on the field of microorganisms. Secondly, we used a meta-analysis to focus on microbial changes using the Chinese grassland ecosystem as an example. The results show that the research on nitrogen deposition in grassland ecosystems shows an exponential development trend, and the authors and research institutions of the publications are mainly concentrated in China, North America, and Western Europe. The keyword clustering results showed 11 important themes labeled climate change, elevated CO2, species richness and diversity, etc. in these studies. The burst keyword analysis indicated that temperature sensitivity, microbial communities, etc. are the key research directions. The results of the meta-analysis found that nitrogen addition decreased soil microbial diversity, and different ecosystems may respond differently. Treatment time, nitrogen addition rate, external environmental conditions, and pH had major effects on microbial alpha diversity and biomass. The loss of microbial diversity and the reduction of biomass with nitrogen fertilizer addition will alter ecosystem functioning, with dramatic impacts on global climate change. The results of the study will help researchers to further understand the subject and have a deep understanding of research hotspots, which are of great value to future scientific research.
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Affiliation(s)
- Tong Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Brisbane, QLD, Australia
| | - Lizhen Cui
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Lilan Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
| | - Junfu Dong
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Fang Wang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Brisbane, QLD, Australia
| | - Xiufang Song
- National Science Library, Chinese Academy of Sciences, Beijing, China
- Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
| | - Rongxiao Che
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China
| | - Congjia Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Li Tang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Brisbane, QLD, Australia
| | - Zhihong Xu
- School of Environment and Science, Centre for Planetary Health and Food Security, Griffith University, Brisbane, QLD, Australia
| | - Yanfen Wang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Tibetan Plateau Earth System Science (LATPES), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Jianqing Du
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, China
| | - Yanbin Hao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyong Cui
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, China
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A Bibliometric and Visualized Analysis of Research Progress and Trends in Rice Remote Sensing over the Past 42 Years (1980–2021). REMOTE SENSING 2022. [DOI: 10.3390/rs14153607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Rice is one of the most important food crops around the world. Remote sensing technology, as an effective and rapidly developing method, has been widely applied to precise rice management. To observe the current research status in the field of rice remote sensing (RRS), a bibliometric analysis was carried out based on 2680 papers of RRS published during 1980–2021, which were collected from the core collection of the Web of Science database. Quantitative analysis of the number of publications, top countries and institutions, popular keywords, etc. was conducted through the knowledge mapping software CiteSpace, and comprehensive discussions were carried out from the aspects of specific research objects, methods, spectral variables, and sensor platforms. The results revealed that an increasing number of countries and institutions have conducted research on RRS and a great number of articles have been published annually, among which, China, the United States of America, and Japan were the top three and the Chinese Academy of Sciences, Zhejiang University, and Nanjing Agricultural University were the first three research institutions with the largest publications. Abundant interest was paid to “reflectance”, followed by “vegetation index” and “yield” and the specific objects mainly focused on growth, yield, area, stress, and quality. From the perspective of spectral variables, reflectance, vegetation index, and back-scattering coefficient appeared the most frequently in the frontiers. In addition to satellite remote sensing data and empirical models, unmanned air vehicle (UAV) platforms and artificial intelligence models have gradually become hot topics. This study enriches the readers’ understanding and highlights the potential future research directions in RRS.
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Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis. REMOTE SENSING 2022. [DOI: 10.3390/rs14143332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Scientometric reviews, facilitated by computational and visual analytical approaches, allow researchers to gain a thorough understanding of research trends and areas of concentration from a large number of publications. With the fast development of satellite altimetry, which has been effectively applied to a wide range of research topics, it is timely to summarize the scientific achievements of the previous 50 years and identify future trends in this field. A comprehensive overview of satellite altimetry was presented using a total of 8541 publications from the Web of Science Core Collection covering the years from 1970 to 2021. We begin by presenting the fundamental statistical results of the publications, such as the annual number of papers, study categories, countries/regions, afflictions, journals, authors, and keywords, in order to provide a comprehensive picture of satellite altimetry research. We discuss the co-occurrence of the authors in order to reveal the global collaboration network of satellite altimetry research. Finally, we utilised co-citation networks to detect the development trend and associated crucial publications for various specific topics. The findings show that satellite altimetry research has been changed immensely during the last half-century. The United States, France, China, England, and Germany made the most significant contributions in the field of satellite altimetry. The analysis reveals a clear link between technology advancements and the trend in satellite altimetry research. As a result, wide swath altimetry, GNSS-reflectometry, laser altimetry, terrestrial hydrology, and deep learning are among the most frontier study subjects. The findings of this work could guide a thorough understanding of satellite altimetry’s overall development and research front.
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