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Tariq A, Ullah I, Sardans J, Graciano C, Mussarat S, Ullah A, Zeng F, Wang W, Al-Bakre DA, Ahmed Z, Ali S, Zhang Z, Yaseen A, Peñuelas J. Strigolactones can be a potential tool to fight environmental stresses in arid lands. ENVIRONMENTAL RESEARCH 2023; 229:115966. [PMID: 37100368 DOI: 10.1016/j.envres.2023.115966] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/01/2023] [Accepted: 04/19/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Environmental stresses pose a significant threat to plant growth and ecosystem productivity, particularly in arid lands that are more susceptible to climate change. Strigolactones (SLs), carotenoid-derived plant hormones, have emerged as a potential tool for mitigating environmental stresses. METHODS This review aimed to gather information on SLs' role in enhancing plant tolerance to ecological stresses and their possible use in improving the resistance mechanisms of arid land plant species to intense aridity in the face of climate change. RESULTS Roots exude SLs under different environmental stresses, including macronutrient deficiency, especially phosphorus (P), which facilitates a symbiotic association with arbuscular mycorrhiza fungi (AMF). SLs, in association with AMF, improve root system architecture, nutrient acquisition, water uptake, stomatal conductance, antioxidant mechanisms, morphological traits, and overall stress tolerance in plants. Transcriptomic analysis revealed that SL-mediated acclimatization to abiotic stresses involves multiple hormonal pathways, including abscisic acid (ABA), cytokinins (CK), gibberellic acid (GA), and auxin. However, most of the experiments have been conducted on crops, and little attention has been paid to the dominant vegetation in arid lands that plays a crucial role in reducing soil erosion, desertification, and land degradation. All the environmental gradients (nutrient starvation, drought, salinity, and temperature) that trigger SL biosynthesis/exudation prevail in arid regions. The above-mentioned functions of SLs can potentially be used to improve vegetation restoration and sustainable agriculture. CONCLUSIONS Present review concluded that knowledge on SL-mediated tolerance in plants is developed, but still in-depth research is needed on downstream signaling components in plants, SL molecular mechanisms and physiological interactions, efficient methods of synthetic SLs production, and their effective application in field conditions. This review also invites researchers to explore the possible application of SLs in improving the survival rate of indigenous vegetation in arid lands, which can potentially help combat land degradation problems.
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Affiliation(s)
- Akash Tariq
- Xinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China.
| | - Ihteram Ullah
- Department of Plant Breeding & Genetics, Gomal University, Dera Ismail Khan, Pakistan
| | - Jordi Sardans
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, 08193, Barcelona, Catalonia, Spain; CREAF, Cerdanyola Del Vallès, 08193, Catalonia, Spain
| | - Corina Graciano
- Instituto de Fisiología Vegetal, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de La Plata, Buenos Aires, Argentina
| | - Sakina Mussarat
- Department of Botanical and Environmental Sciences, Faculty of Biological Sciences, Kohat University of Science and Technology, Kohat, Pakistan
| | - Abd Ullah
- Xinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China
| | - Fanjiang Zeng
- Xinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China.
| | - Weiqi Wang
- Key Laboratory of Humid Subtropical Eco-Geographical Process, Ministry of Education, Fujian Normal University, Fuzhou, 350007, China; Institute of Geography, Fujian Normal University, Fuzhou, 350007, China
| | - Dhafer A Al-Bakre
- Department of Biology, College of Science, University of Tabuk, Tabuk, Saudi Arabia
| | - Zeeshan Ahmed
- Xinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China
| | - Sikandar Ali
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Zhihao Zhang
- Xinjiang Key Desert Plant Roots Ecology and Vegetation Restoration Laboratory, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, China
| | - Aftab Yaseen
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Yunnan Key Laboratory of Natural Medicinal Chemistry, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Josep Peñuelas
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, 08193, Barcelona, Catalonia, Spain; CREAF, Cerdanyola Del Vallès, 08193, Catalonia, Spain
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Zhang Y, Tariq A, Hughes AC, Hong D, Wei F, Sun H, Sardans J, Peñuelas J, Perry G, Qiao J, Kurban A, Jia X, Raimondo D, Pan B, Yang W, Zhang D, Li W, Ahmed Z, Beierkuhnlein C, Lazkov G, Toderich K, Karryeva S, Dehkonov D, Hisoriev H, Dimeyeva L, Milko D, Soule A, Suska-Malawska M, Saparmuradov J, Bekzod A, Allin P, Dieye S, Cissse B, Whibesilassie W, Ma K. Challenges and solutions to biodiversity conservation in arid lands. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159695. [PMID: 36302433 DOI: 10.1016/j.scitotenv.2022.159695] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/20/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
The strategic goals of the United Nations and the Aichi Targets for biodiversity conservation have not been met. Instead, biodiversity has continued to rapidly decrease, especially in developing countries. Setting a new global biodiversity framework requires clarifying future priorities and strategies to bridge challenges and provide representative solutions. Hyper-arid, arid, and semi-arid lands (herein, arid lands) form about one third of the Earth's terrestrial surface. Arid lands contain unique biological and cultural diversity, and biodiversity loss in arid lands can have a disproportionate impact on these ecosystems due to low redundancy and a high risk of trophic cascades. They contain unique biological and cultural diversity and host many endemic species, including wild relatives of key crop plants. Yet extensive agriculture, unsustainable use, and global climate change are causing an irrecoverable damage to arid lands, with far-reaching consequences to the species, ground-water resources, ecosystem productivity, and ultimately the communities' dependant on these systems. However, adequate research and effective policies to protect arid land biodiversity and sustainability are lacking because a large proportion of arid areas are in developing countries, and the unique diversity in these systems is frequently overlooked. Developing new priorities for global arid lands and mechanisms to prevent unsustainable development must become part of public discourse and form the basis for conservation efforts. The current situation demands the combined efforts of researchers, practitioners, policymakers, and local communities to adopt a socio-ecological approach for achieving sustainable development (SDGs) in arid lands. Applying these initiatives globally is imperative to conserve arid lands biodiversity and the critical ecological services they provide for future generations. This perspective provides a framework for conserving biodiversity in arid lands for all stakeholders that will have a tangible impact on sustainable development, nature, and human well-being.
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Affiliation(s)
- Yuanming Zhang
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China.
| | - Akash Tariq
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele 848300, China
| | - Alice C Hughes
- Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, China
| | - Deyuan Hong
- Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Fuwen Wei
- Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hang Sun
- Kunming Institute of Botany, Chinese Academy of Sciences, Yunnan, China
| | - Jordi Sardans
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, Barcelona, Catalonia, Spain; CREAF, Cerdanyola del Vallès, Barcelona, Catalonia, Spain
| | - Josep Peñuelas
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, Barcelona, Catalonia, Spain; CREAF, Cerdanyola del Vallès, Barcelona, Catalonia, Spain
| | - Gad Perry
- Department of Natural Resource Management, Texas Tech University, Lubbock, USA
| | - Jianfang Qiao
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | - Alishir Kurban
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China; Sino-Belgian Joint Laboratory for Geo-Information, Urumqi 830011, China
| | - Xiaoxia Jia
- Science Technology Innovation Unit, Secretariat of the UNCCD, Bonn, Germany
| | | | - Borong Pan
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | - Weikang Yang
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | - Daoyuan Zhang
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | - Wenjun Li
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | - Zeeshan Ahmed
- Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Xinjiang, China
| | | | - Georgy Lazkov
- Institute of Biology, National Academy of Sciences of Kyrgyzstan, Bishkek, Kyrgyzstan
| | - Kristina Toderich
- International Platform for Dryland Research and Education, University of Tottori, Tottori, Japan
| | | | - Davron Dehkonov
- Institute of Botany, Academy Sciences of Uzbekistan, Uzbekistan
| | - Hikmat Hisoriev
- Flora and Systematic Botany Department Institute of Botany, Plant Physiology and Genetics, Tajikistan National Academy of Sciences, Dushanbe, Tajikistan
| | - Liliya Dimeyeva
- Laboratory of Geobotany, Institute of Botany & Phytointroduction, Almaty, Kazakhstan
| | - Dmitry Milko
- Institute of Biology, National Academy of Sciences of Kyrgyzstan, Bishkek, Kyrgyzstan
| | - Ahmedou Soule
- Research Center for the Valorization of Biodiversity, Nouakchott, Mauritania
| | - Malgozhata Suska-Malawska
- International Platform for Dryland Research and Education, University of Tottori, Tottori, Japan; Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Jumamurat Saparmuradov
- Department of Environmental Protection and Hydrometeorology, Ministry of Agriculture and Environmental Protection of Turkmenistan, Ashgabat, Turkmenistan
| | - Alilov Bekzod
- Institute of Botany, Academy Sciences of Uzbekistan, Uzbekistan
| | - Paul Allin
- Transfrontier Africa, Hoedspruit, South Africa
| | - Sidy Dieye
- Transfrontier Africa, Hoedspruit, South Africa
| | - Birane Cissse
- Cheikh Anta DIOP University of Dakar, Dakar, Senegal
| | | | - Keping Ma
- Institute of Botany, Chinese Academy of Sciences, Beijing, China.
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Spatiotemporal Variability of Human Disturbance Impacts on Ecosystem Services in Mining Areas. SUSTAINABILITY 2022. [DOI: 10.3390/su14137547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Human activities pose significant impacts on ecosystem services (ESs) in mining areas, which will continually increase over time and space. However, the mechanism of ES change on spatiotemporal scales post-disturbance remains unclear, especially in the context of global climate change. Here, we conducted a global literature review on the impact of two of the most frequent disturbance factors (mining and restoration) on 27 different ESs, intending to synthesize the impacts of human disturbance on ESs in mining areas via a meta-analysis, and analyze the spatiotemporal variability of ESs after disturbance. We screened 3204 disturbance studies published on the Web of Science between 1950 and 2020 and reviewed 340 in detail. The results of independence test showed that human disturbance had a significant impact on ESs in the mining areas (p < 0.001). The impacts (positive and/or negative) caused by mining and restoration differed considerably among ESs (even on the same ESs). Additionally, spatiotemporal scales of human disturbance were significantly related to spatiotemporal scales of ES change (p < 0.001). We found that the positive and negative impacts of disturbances on ESs may be interconversion under specific spatiotemporal conditions. This seems to be associated with spatiotemporal variability, such as the temporal lag, spatial spillover, and cumulative spatiotemporal effects. Climate changes can lead to further spatiotemporal variability, which highlights the importance of understanding the changes in ESs post-disturbance on spatiotemporal scales. Our research presents recommendations for coping with the twofold pressure of climate change and spatiotemporal variability, to understand how ESs respond to human disturbance at spatiotemporal scales in the future, and manage disturbances to promote sustainable development in mining areas.
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Quantitative Assessment for the Spatiotemporal Changes of Ecosystem Services, Tradeoff–Synergy Relationships and Drivers in the Semi-Arid Regions of China. REMOTE SENSING 2022. [DOI: 10.3390/rs14010239] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Ecosystem services in arid inland regions are significantly affected by climate change and land use/land cover change associated with agricultural activity. However, the dynamics and relationships of ecosystem services affected by natural and anthropogenic drivers in inland regions are still less understood. In this study, the spatiotemporal patterns of ecosystem services in the Hexi Region were quantified based on multiple high-resolution datasets, the InVEST model and the Revised Wind Erosion Equation (RWEQ) model. In addition, the trade-offs and synergistic relationships among multiple ecosystem services were also explored by Pearson correlation analysis and bivariate spatial autocorrelation, and redundancy analysis (RDA) was also employed to determine the environmental drivers of these services and interactions. The results showed that most ecosystem services had a similar spatial distribution pattern with an increasing trend from northwest to southeast. Over the past 40 years, ecosystem services in the Hexi Region have improved significantly, with the water retention and soil retention increasing by 87.17 × 108 m3 and 287.84 × 108 t, respectively, and the sand fixation decreasing by 369.17 × 104 t. Among these ecosystem services, strong synergistic relationships were detected, while the trade-offs were found to be weak, and showed significant spatial heterogeneity in the Hexi Region. The spatial synergies and trade-offs in the Qilian Mountains were 1.02 and 1.37 times higher than those in the Hexi Corridor, respectively. Human activities were found to exacerbate the trade-offs between ecosystem services by increasing water consumption in the Hexi Corridor, with the exception of carbon storage. In particular, there were significant tradeoffs between food production and water retention, and between soil retention and habitat quality in the oases of the Hexi Corridor, which is affected by rapid population growth and cropland expansion. Additionally, precipitation, temperature and vegetation cover in the Qilian Mountains have increased significantly over the past four decades, and these increases significantly contributed to the enhancements in water retention, carbon storage, habitat quality, soil retention and food production. Nevertheless, the amount of sand fixation significantly decreased, and this was probably associated with the reduction in wind speed over the past four decades. Our results highlighted the importance of climate wetting and water resource management in the enhancement of ecosystem services and the mitigation of food production trade-offs for arid inland regions.
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Analysis of Ecosystem Service Trade-Offs and Synergies in Ulansuhai Basin. SUSTAINABILITY 2021. [DOI: 10.3390/su13179839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
As an important grain production base and ecological barrier zone in China, Ulansuhai Basin provides a variety of important ecosystem services and ensures human well-being, and it is essential to maintain the sustainable development of the regional ecology–economy–society. Therefore, in order to explore the trade-offs and synergies between ecosystem services in Ulansuhai Basin, we first evaluated the spatio-temporal characteristics of five ecosystem services in 2000, 2005, 2010, 2015, and 2018 based on the InVEST model, including soil conservation, carbon storage, water production, water purification, and food supply. We then further analyzed the trade-offs and synergies of ecosystem services in Ulansuhai Basin and in different functional areas through using the Spearman correlation coefficient. The results show that different ecosystem services had obvious regional differences due to different land-use types in Ulansuhai Basin. Soil conservation, carbon storage, and water production were higher in the eastern region and lower in the central and western regions, while water purification and food supply were higher in the central region and lower in the eastern and western regions. Ecosystem services showed an overall increasing trend from 2000 to 2018. Moreover, trade-off was the dominant relationship between different ecosystem services, and trade-offs and synergies showed strengthening trends to a certain extent. The trade-offs and synergies of ecosystem services in different functional areas were obviously different. Our study aimed to clarify the trade-offs and synergies between ecosystem services and to propose ecological protection and management countermeasures and suggestions, which can provide decision-making reference for regional ecological protection and management.
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Water Ecosystem Service Quality Evaluation and Value Assessment of Taihu Lake in China. WATER 2021. [DOI: 10.3390/w13050618] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Taihu Lake is the third largest freshwater lake in China. Water ecosystems play an important role in the survival and development of human society. The evaluation of water ecosystem services is helpful to understand and grasp the changing rules of Taihu Lake’s ecosystem services value in recent years. First, we used the Water Environment Qualities Index (WQI) to evaluate the water ecological quality of Taihu Lake; second, on the basis of the survey data from 2010 to 2018, we combined economic and ecological methods to evaluate the water ecosystem of Taihu Lake. The evaluation system includes four major service functions, 11 second-class evaluation indicators and 19 index factor. Research indicates that, (1) in the past 8 years, the WQI of Taihu Lake increased year by year and Taihu Lake changed from moderate pollution to light pollution; (2) provisioning services are the main service of Taihu Lake’s water ecosystem and the order of various service values was provisioning service value > regulation service value > cultural service value > support service value, with water supply as the core function of provisioning services; and (3) the total values in 2010, 2014, and 2018 were 115.39 billion yuan, 113.31 billion yuan, and 119.96 billion yuan, respectively, showing a trend of first decreasing and then increasing. To a certain extent, the improvement in Taihu Lake’s water ecological quality has led to an increase in the value of regulation services.
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Xi W, Pei T, Liu Q, Song C, Liu Y, Chen X, Ma J, Zhang Z. Quantifying the Time-Lag Effects of Human Mobility on the COVID-19 Transmission: A Multi-City Study in China. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 8:216752-216761. [PMID: 34812372 PMCID: PMC8545259 DOI: 10.1109/access.2020.3038995] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 11/13/2020] [Indexed: 05/18/2023]
Abstract
The first wave of the 2019 novel coronavirus (COVID-19) epidemic in China showed there was a lag between the reduction in human mobility and the decline in COVID-19 transmission and this lag was different in cities. A prolonged lag would cause public panic and reflect the inefficiency of control measures. This study aims to quantify this time-lag effect and reveal its influencing socio-demographic and environmental factors, which is helpful to policymaking in controlling COVID-19 and other potential infectious diseases in the future. We combined city-level mobility index and new case time series for 80 most affected cities in China from Jan 17 to Feb 29, 2020. Cross correlation analysis and spatial autoregressive model were used to estimate the lag length and determine influencing factors behind it, respectively. The results show that mobility is strongly correlated with COVID-19 transmission in most cities with lags of 10 days (interquartile range 8 - 11 days) and correlation coefficients of 0.68 ± 0.12. This time-lag is consistent with the incubation period plus time for reporting. Cities with a shorter lag appear to have a shorter epidemic duration. This lag is shorter in cities with larger volume of population flow from Wuhan, higher designated hospitals density and urban road density while economically advantaged cities tend to have longer time lags. These findings suggest that cities with compact urban structure should strictly adhere to human mobility restrictions, while economically prosperous cities should also strengthen other non-pharmaceutical interventions to control the spread of the virus.
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Affiliation(s)
- Wang Xi
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing100049China
| | - Tao Pei
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing100049China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjing210023China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing102206China
| | - Ci Song
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing100049China
| | - Yaxi Liu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing100049China
| | - Xiao Chen
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing100049China
| | - Jia Ma
- Dongfang HospitalBeijing University of Chinese MedicineBeijing100078China
| | - Zhixin Zhang
- China-Japan Friendship HospitalBeijing100029China
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