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Wang Z, Li X, Deng Y, Liu X, Zhang Y. Stable isotope tracing internal recycling and evaporation losses in saline lakes on the Qinghai-Tibet Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166614. [PMID: 37643703 DOI: 10.1016/j.scitotenv.2023.166614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 08/31/2023]
Abstract
Direct measuring of internal lake recycling and evaporation losses remains challenging for lakes on the Qinghai-Tibet Plateau (QTP). Stable isotope techniques provide an effective approach for estimating water vapor cycling ratios and evaporation losses of lakes on the QTP. In this study, the stable isotope values of saline lakes on the QTP were modeled using the stable isotope values of the sampled lake water and their influencing factors. The water vapor recycling ratio and evaporation loss (E/I) of 135 saline lakes on the QTP were evaluated and their influencing factors were revealed. The results showed that stable isotopes in saline lakes on the QTP showed significant spatial variability. Their stable isotopes were affected by the source of water vapor, recharge patterns, and local evaporation conditions. It's worth noting that the average water vapor recycling ratio of saline lakes on the QTP was 20.16 %, one-fifth of the saline lakes had a water vapor recycling ratio beyond 30 %. Saline lakes lose 26 % of their water through evaporation. 26 % of the saline lakes experienced high evaporation losses of >40 % of the total inflow. We found that the main factors controlling the water vapor recycling ratio and evaporation loss in saline lakes on the QTP were precipitation and altitude, respectively. Interestingly, the control factors of water vapor recycling ratio and evaporation loss in saline lakes with elevation above 4500 m showed significant differences compared to saline lakes with elevation below 4500 m. Therefore, the strengthening of lake system monitoring can provide reliable data support for security assessment and effective management of water resources on the QTP.
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Affiliation(s)
- Zhigang Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Xiaoyan Li
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, China; School of Geographical Sciences, Qinghai Normal University, Xining 810016, China.
| | - Yuanhong Deng
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Xin Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Yangyang Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
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Li Y, Xu R, Yang K, Liu Y, Wang S, Zhou S, Yang Z, Feng X, He C, Xu Z, Zhao W. Contribution of Tibetan Plateau ecosystems to local and remote precipitation through moisture recycling. GLOBAL CHANGE BIOLOGY 2023; 29:702-718. [PMID: 36270805 PMCID: PMC10099335 DOI: 10.1111/gcb.16495] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
The ecosystems of the Tibetan Plateau (TP) provide multiple important ecosystem services that benefit both local populations and those beyond, such as through climate regulation services on precipitation for East Asia and China. However, the precipitation regulation service of the TP ecosystems for supplying moisture and maintaining precipitation is yet to be evaluated. In this study, we used the moisture recycling framework and a moisture tracking model to quantify the precipitation regulation services of TP ecosystems for their contribution to precipitation. We found TP ecosystems contributed substantially to local and downwind precipitation, with a contribution of 221 mm/year for the TP and neighboring areas through evapotranspiration (ET) (104 mm/year through transpiration), declined to <10 mm/year for eastern China and other surrounding countries. Among ecosystem types, grassland contributed most to precipitation, followed by barren and snow lands, forests, and shrublands. In terms of seasonality, precipitation contribution from TP ecosystems was greater in summer months than in non-summer months for western China, while the opposite was true for eastern China-although the magnitude was much smaller. Over the past two decades, the significant ET increases in TP translated to a widespread increase in precipitation contribution for TP and downwind beneficiary regions from 2000 to 2020. Our study provides a quantitative way to understand the precipitation regulation services of TP ecosystems through moisture recycling, substantiating their key role to maintain precipitation and the water cycle for downwind regions-effectively acting as an ecological safeguard that could be perceived by the public.
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Affiliation(s)
- Yan Li
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Ru Xu
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Kun Yang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System ScienceInstitute for Global Change Studies, Tsinghua UniversityBeijingChina
| | - Yanxu Liu
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Sha Zhou
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Zhao Yang
- Pacific Northwest National LaboratoryRichlandWashingtonUSA
| | - Xiaoming Feng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐Environmental SciencesChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Chunyang He
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Key Laboratory of Environmental Change and Natural Disasters, Ministry of EducationBeijing Normal UniversityBeijingChina
- Academy of Disaster Reduction and Emergency ManagementMinistry of Emergency Management and Ministry of EducationBeijingChina
| | - Zhengjie Xu
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
| | - Wenwu Zhao
- State Key Laboratory of Earth Surface Processes and Resources EcologyBeijing Normal UniversityBeijingChina
- Institute of Land Surface System and Sustainable DevelopmentFaculty of Geographical Science, Beijing Normal UniversityBeijingChina
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Liu H, Song D, Kong J, Mu Z, Zhang Q, Wang X. Spatiotemporal Variation in Actual Evapotranspiration and the Influencing Factors in Ningxia from 2001 to 2020. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191912693. [PMID: 36231991 PMCID: PMC9566279 DOI: 10.3390/ijerph191912693] [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: 08/09/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 05/13/2023]
Abstract
Surface evapotranspiration (ET) is an important part of the hydrological cycle. Based on the MOD16 ET product and the data collected by meteorological stations, this study investigated, for the first time, the characteristics, variation trend and influencing factors of actual ET in Ningxia from 2001 to 2020 along temporal and spatial scales using the Theil-Sen median trend analysis, Mann-Kendall test and Hurst index, and predicted the future trend of ET. The results revealed a strong correlation between the MOD16 ET product and ET data collected at meteorological stations (r = 0.837, R2 = 0.701). Over the past 20 years, the annual ET in Ningxia showed an overall increasing trend, and the proportion of the increasing area was 96.58%. Quarterly ET varied over time, with the highest value in the third quarter and the lowest value in the second quarter. Annual ET showed a positive correlation with normalized difference vegetation index (NDVI), surface temperature and precipitation but no correlation with relative humidity. Additionally, the Hurst index revealed areas showing a persistent increase in ET, accounting for 84.91% of the total area, indicating that the future trend of ET in Ningxia is consistent with the past trend.
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Affiliation(s)
- Huihui Liu
- College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
- Institute of Natural Resources Survey of Ningxia, Yinchuan 750002, China
| | - Dongdong Song
- School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China
| | - Jinling Kong
- College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
- Correspondence:
| | - Zengguang Mu
- Natural Resources Information Center of Ningxia, Yinchuan 750002, China
| | - Qiutong Zhang
- College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
| | - Xixuan Wang
- College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
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Energy and Water Cycles in the Third Pole. WATER 2022. [DOI: 10.3390/w14071175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The energy and water cycles in the Third Pole have great impacts on the atmospheric circulation, Asian monsoon system and global climate change. [...]
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The Effect of Vegetative Coverage and Altitude on the Vegetation Water Consumption in the Alpine Inland River Basin of the Northeastern Qinghai–Tibet Plateau. WATER 2022. [DOI: 10.3390/w14071113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Estimating accurately the vegetation water consumption (VWC) in the Qinghai Lake Basin (QLB) is conducive to the effective utilization and management of water resources in the QLB, which is of great significance to the construction of a national park in the QLB. We used Geographic Information System (GIS) technology and remote sensing (RS) technology based on potential evapotranspiration data to calculate the VWC in the QLB from 2000 to 2020, and analyzed the influencing factors of the VWC in the QLB from 2000 to 2020. The results showed that (1) the average value of the VWC in the QLB varied from 242.96 mm to 287.99 mm, the average value of the VWC was 267.07 mm, and the average value of the total VWC was 79.05 × 108 m3 from 2000 to 2020. (2) In terms of spatial variation of the VWC, the VWC in the QLB did not increase significantly from 2000 to 2014, however, the VWC in the QLB showed a significant increase from 2015 to 2020. (3) As the altitude gradient increases, the VWC in the QLB from 2000 to 2020 showed a significant downward trend with the increase in altitude. When the altitude increases by 100 m, the value of the VWC decreases by 13.47 mm from 2000 to 2014 and 22.8 mm from 2015 to 2020, respectively. (4) Exploring the influencing factors of the VWC in the QLB from 2000 to 2020, the results showed that the VWC was mainly affected by the average annual precipitation and normalized difference vegetation index (NDVI) from 2000 to 2014. It was mainly affected by the combined effects of annual temperature, precipitation, and vegetation coverage from 2015 to 2020. The VWC was mainly affected by the average annual temperature, precipitation, and vegetation coverage along the altitude gradient from 2000 to 2014. It was mainly affected by the average annual temperature and vegetation coverage in the QLB from 2015 to 2020. Obviously, vegetation coverage was the most important factor affecting the VWC regardless of spatial or altitude gradient variations.
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