Contributions of climate change and vegetation greening to evapotranspiration trend in a typical hilly-gully basin on the Loess Plateau, China

Bai, Meng; Mo, Xingguo; Liu, Suxia; Hu, Shi

doi:10.1016/j.scitotenv.2018.11.360

Cited by 97 publications

(48 citation statements)

References 81 publications

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“…In particular, after implementation of GfG, ET of all the catchments showed a rapid increasing trend varying from 0.81 to 5.28 mm year −1 (Figure ). Terrestrial ET processes are closely related to climate change and land use change (Douville, Ribes, Decharme, Alkama, & Sheffield, ), although evidence has indicated that vegetation greening is the primary driver of increases in ET relative to climate change in the Loess Plateau after 2000 (Bai, Mo, Liu, & Hu, ; Jin et al, ). In addition, Wang et al () found that spatial variation in soil water content exhibited a positive correlation with spatial variation in vegetation cover in the Loess Plateau.…”

Section: Discussionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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A rapid reduction in run-off has been observed in the middle reaches of the Yellow River basin in recent decades. Understanding the contributions of climate change and human activities, such as vegetation restoration and water consumption, to surface water resource reduction has become urgent and very important for future regional planning. Here, we use attribution approaches to explore the effects of climate change and human activities on run-off over the past six decades. The results showed that the observed annual run-off at Tongguan station, which is located within the mainstream of the Yellow River, exhibited a significant decreasing trend of −0.69 mm year −1 (p < .01) and varied from −0.28 to −1.46 mm year −1 (p < .01) in the eight selected tributaries from 1960 to 2015. Two relatively abrupt changes in the double mass curves occurred around 1979 and 1999; compared with Period 1 (P1; 1960-1979), the average catchment run-off decreased 32% during Period 2 (P2 ; 1980-1999) and up to 49% during Period 3 (P3;. We calculated that approximately 29% of the reduction in the run-off during P2 and 18% during P3 were attributed to climate change. Increased surface water consumption resulted in effective run-off reduction, with relative contributions of approximately 27% and 28% during P2 and P3, respectively. With the implementation of the "Grain-for-Green" project, the vegetation coverage rapidly increased from 36% in P1 to 52% in P3 and reduced run-off by 35% during P3. These findings explain the run-off reduction and benefit water resource management in the middle reaches of the Yellow River basin.

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Section: Discussionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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“…It is an effective method for diagnosing the responses of regional hydrology or ecology elements to climate factors. Bai et al (2019) conducted partial correlation analysis between actual evapotranspiration and precipitation, potential evapotranspiration, and NDVI to identify the dominant driving factors that control interannual variation of actual evapotranspiration. Meng et al (2018) used partial correlations between trended soil moisture, precipitation, and air temperature to determine soil moisture responses to regional climate change.…”

Section: Methodsmentioning

confidence: 99%

“…Studies have suggested that partial correlation can be used to study the correlation between two meteorological factors (Meng et al ., ; Zhao et al ., ; Bai et al ., ). The spatial distribution of the partial correlation coefficient between trended precipitation and GLDAS‐NOAH025 soil moisture with correlation statistical significance at or above the 95% level are shown in Figure .…”

Section: Soil Moisture Responses To Regional Climate Changementioning

confidence: 99%

Responses of soil moisture to regional climate change over the Three Rivers Source Region on the Tibetan Plateau

Deng

Meng

et al. 2019

Intl Journal of Climatology

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In this study, soil moisture data from two reanalysis datasets (ERA‐Interim, ERA5), a satellite soil moisture product from the European Space Agency (ESA) and three assimilation datasets from the Global Land Data Assimilation System (GLDAS), that is, GLADS‐NOAH025, GLADS‐NOAH10, and GLDAS‐CLM were compared with the observed soil moisture data in Maqu and Maduo stations over the Three Rivers Source Region (TRSR) on the Tibetan Plateau in China. Comparative statistical parameters between the soil moisture observations and the products, including the root mean square error, correlation coefficient (R), and standard deviation ratio were calculated to evaluate the products in different seasons. It was found that most products overestimated the soil moisture values, among which GLADS‐NOAH025 had relatively good consistency with the observations in the surface soil layer (0–10 cm), whereas GLDAS‐CLM agreed well with the observations in the 10–40 cm layer. Both ERA5 and ERA‐interim soil moisture overestimated soil moisture at all levels. The responses of soil moisture to regional climate change over the TRSR were also investigated by using the GLDAS‐NOAH025 soil moisture product, the ESA soil moisture product, and the observations during the nonfreezing period. The results show that the trends of soil moisture are consistent with the precipitation changes in the main central part of the TRSR. A significant positive correlation was found between soil moisture and precipitation in most regions of the TRSR, which indicates that soil moisture increases with the increase of precipitation, except in the northwest TRSR, where the variation of soil moisture was possibly influenced by both the precipitation changes and the increase of evapotranspiration.

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“…Different contribution assessment methods were used to distinguish the contribution of human activity and climate factors to vegetation growth . Using correlation analysis, climate change only had a marginal effect on vegetation greenness in a typical hilly-gully basin on Loess Plateau, with a contribution of 9.3% (Bai, Mo, Liu, & Hu, 2019). Using correlation analysis, climate change only had a marginal effect on vegetation greenness in a typical hilly-gully basin on Loess Plateau, with a contribution of 9.3% (Bai, Mo, Liu, & Hu, 2019).…”

Section: But In National Key Ecological Functional Areas (Nkefa) On Lmentioning

confidence: 96%

“…Using the residual method, Tong, Zeng, and Wang (2016) found both climate change and human activities were important factors on vegetation variation in Shanxi Province, but the influence of human activities was relatively higher. Using correlation analysis, climate change only had a marginal effect on vegetation greenness in a typical hilly-gully basin on Loess Plateau, with a contribution of 9.3% (Bai, Mo, Liu, & Hu, 2019). At a larger scale, the contribution of human activities may also surpass the impact of climate change.…”

Section: But In National Key Ecological Functional Areas (Nkefa) On Lmentioning

confidence: 97%

Spatiotemporal variations of vegetation and its determinants in the National Key Ecological Function Area on Loess Plateau between 2000 and 2015

Huang

Zhang

et al. 2019

Ecology and Evolution

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China defined 25 National Key Ecological Function Areas in 2010 and adopted various measures to support ecosystem restoration in these areas. During the process of environment policymaking, it is important to observe the variation of vegetation and its driving factors. In this paper, we chose the National Key Ecological Function Area (NKEFA) on Loess Plateau as the study area. Based on MODIS‐NDVI data between 2000 and 2015, the trend analysis was used to depict the change in NDVI and the stepwise regression analysis method was used to quantitatively assess its determinants. The results show that: (a) The vegetation coverage in study area was low in the northwest and high in the southeast, corresponding to the distribution of precipitation and temperature. (b) NDVI in the growing season increased remarkably from 0.2841 in 2000 to 0.4199 in 2015 with a linear tendency of 0.085/10a. About 71.22% of the study area experienced an extremely significant increasing of NDVI, while only 0.03% of the total area suffered from significant decreasing of NDVI. (c) Compared to climatic factors, ecosystem conservation policies, and labor transfer contributed more to the vegetation changes in the study area. In order to ensure ecological security and sustainable development in these areas, it is necessary to maintain the continuity of ecological compensation policy. Moreover, developing targeted eco‐compensation policies and encouraging farmers to participate in nonfarm employment are effective ways to reach a win–win outcome of reducing the ecosystem pressure and improving the welfare of rural households.

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Contributions of climate change and vegetation greening to evapotranspiration trend in a typical hilly-gully basin on the Loess Plateau, China

Cited by 97 publications

References 81 publications

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Responses of soil moisture to regional climate change over the Three Rivers Source Region on the Tibetan Plateau

Spatiotemporal variations of vegetation and its determinants in the National Key Ecological Function Area on Loess Plateau between 2000 and 2015

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