Spatial and temporal changes of water supply and water conservation function in Sanjiangyuan National Park from 1980 to 2016

Leting, 吕乐婷 Lü; Tiantian, 任甜甜 Ren; Caizhi, 孙才志 Sun; Defeng, 郑德凤 Zheng; Hui, 王辉 Wang

doi:10.5846/stxb201808241804

Cited by 7 publications

(5 citation statements)

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“…Moreover, the findings indicated that heightened levels of Pre would contribute to an augmentation in WS [30]. The outcomes of our study align with previous research conducted in the Three-River Headwaters National Park and the QTP [31,54]. Nevertheless, the findings of this work differ from previous studies in several aspects.…”

Section: Main Driving Factors Of Water Storagesupporting

confidence: 79%

“…In the study by Bai et al, it was revealed that vegetation greening resulted in an elevation of AET and a concurrent reduction in water yield in China during 1982-2014 [55]. Additionally, it was estimated that the grass wetland and forest of the QTP would experience an increase of 1.04%, 6.01%, and 0.07%, respectively, from 2010 to 2030 [54]. However, this expansion in vegetation is expected to result in a slight decrease in water yield by 0.007% [56].…”

Section: Main Driving Factors Of Water Storagementioning

confidence: 99%

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Spatiotemporal Changes in Water Storage and Its Driving Factors in the Three-River Headwaters Region, Qinghai–Tibet Plateau

Zhao,

Chen,

Yang

et al. 2023

Land

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Water storage (WS) is a crucial terrestrial ecosystems service function. In cold alpine regions (CAR), the cryosphere elements are important solid water resources, but the existing methods for quantitatively assessing WS usually ignore cryosphere elements. In this study, a revised Seasonal Water Yield model (SWY) in the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), which considers the effects of frozen ground (FG) and snow cover (SC) on WS, was employed to estimate the spatiotemporal distribution and changes in WS in the Three-Rivers Headwaters region (TRHR) from 1981 to 2020. Sensitivity analyses were conducted to understand the overall effects of multiple factors on WS, as well as the dominant driving factors of WS change at the grid scale in the TRHR. The results show that (1) the WS in the TRHR generally increased from 1981 to 2020 (0.56 mm/year), but the spatial distribution of WS change varied greatly, with a significant increasing trend in the northwest part and a significant decreasing trend in the southeast part. (2) In the last 40 years, increased precipitation (Pre) positively affected WS, while increased potential evapotranspiration (ET0) reduced it. Increased permeability caused by degradation of frozen ground increased WS, while snow cover and LULC changes reduced it. (3) In the TRHR, Pre primarily affected the WS with the largest area ratio (32.62%), followed by land use/land cover (LULC) (19.69%) and ET0 (18.49%), with FG being fourth (17.05%) and SC being the least (6.64%). (4) The highly important and extremely important zones generally showed a decreasing trend in WS and should be treated as key and priority conservation regions. It is expected that this research could provide a scientific reference for water management in the TRHR.

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Section: Main Driving Factors Of Water Storagesupporting

confidence: 79%

Section: Main Driving Factors Of Water Storagementioning

confidence: 99%

Spatiotemporal Changes in Water Storage and Its Driving Factors in the Three-River Headwaters Region, Qinghai–Tibet Plateau

Zhao,

Chen,

Yang

et al. 2023

Land

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“…In general, precipitation in northern Tibet decreased while temperature increased before the implementation of the Project (Fig. 6), causing the local environment to be drier, and the increase of evapotranspiration intensity was greater than that of precipitation, resulting in a decline in water conservation capacity (Lu et al, 2020; Zhao et al, 2020). Although the temperature in northern Tibet continued to rise slowly after the Project, an increase in rainfall offset the impact of the temperature rise (Du et al, 2008; Song et al, 2012; Yin et al, 2013; Shao et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Water conservation is calculated by water yield, and the specific calculation method is as follows (Lu et al, 2020):…”

Section: Calculation Of Water Conservationmentioning

confidence: 99%

Variation of Water Conservation Function and Its Influencing Factors of Alpine Grasslands in Northern Tibet from 2000 to 2020

Song

Huang

et al. 2023

Journal of Resources and Ecology

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With an average elevation of more than 4500 m, northern Tibet, known as the “roof of the world roof”, serves as the main body of the Qinghai-Tibetan Plateau's ecological security barrier. However, the alpine grassland ecosystem in northern Tibet has suffered considerable alterations as a result of both climate change and overgrazing, and there is a degradation trend in some regions. In 2009, one ecological engineering, the Protection and Construction Project of Ecological Security Barrier in Tibet (hereafter referred to as the “Project”) was implemented to preserve the alpine ecosystem and restore service functions in the plateau. Water conservation is one of the most important service functions in alpine grassland ecosystem in northern Tibet, where is one part of the Asian Water Tower. To clarify the specific ecological benefits of the Project, this paper utilized the InVEST model to evaluate the variation trend of the water conservation function of alpine grasslands in northern Tibet before and after the implementation of the Project from 2000 to 2020, and contribution rate of climate change and the Project was also quantified. Results showed that: (1) Although the water conservation capacity of different grassland types in northern Tibet were varied, their water conservation function all altered dramatically after implementation of the Project. Specifically, the water yield has increased by 10.07%, and the water source supply service has increased by 8.86%. Among these grasslands, the alpine meadow had the highest increasing rate, water conservation capacity increased from –1.84 mm yr–1 to 2.24 mm yr–1 Followed by the alpine desert steppe and the alpine steppe, the rate of water conservation function were decreased significantly due to the Project. (2) Although climate is still the primary factor affecting the water conservation function of alpine grasslands in northern Tibet, the Project has effectively promoted the local water conservation function, with contribution rates of 13.99%, 8.75%, and 3.71% in the alpine meadow, alpine steppe and alpine desert steppe regions respectively.

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“…The water yield is obtained by calculating precipitation and other parameters and then corrected by the topographic index to obtain the water conservation amount and assess the water ecosystem service function. This method has been widely used in studies related to the Sanjiangyuan and other regions [4][5][6][7] . Some studies use the water balance equation to calculate water conservation, and the water conservation function is one of the critical indicators for evaluating ecological protection and an essential part of delineating the red line for environmental protection [8][9] .…”

Section: Introductionmentioning

confidence: 99%

ArcGIS-based assessment of the water conservation capacity in the Hehuang Valley

Liu,

Hou

2024

International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024)

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Spatial and temporal changes of water supply and water conservation function in Sanjiangyuan National Park from 1980 to 2016

Cited by 7 publications

References 0 publications

Spatiotemporal Changes in Water Storage and Its Driving Factors in the Three-River Headwaters Region, Qinghai–Tibet Plateau

Spatiotemporal Changes in Water Storage and Its Driving Factors in the Three-River Headwaters Region, Qinghai–Tibet Plateau

Variation of Water Conservation Function and Its Influencing Factors of Alpine Grasslands in Northern Tibet from 2000 to 2020

ArcGIS-based assessment of the water conservation capacity in the Hehuang Valley

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