Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China

Xunhe, ZHANG; Wang, Nai’ang; Xie, Zunyi; Ma, Xuanlong; Huete, Alfredo

doi:10.3390/rs10010134

Cited by 21 publications

(21 citation statements)

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“…Huang et al () discussed human‐induced TWS variations solely, and there was only a little discussion on trends of spatially averaged normalized difference vegetation index (NDVI). Additionally, Zhang, Wang, et al () investigated the correspondences among TWS anomalies (TWSAs), precipitation, the NDVI, and lake extent, which lacked a clear quantitative attribution of changes in TWS. Therefore, it is necessary to conduct a comprehensive and quantitative analysis of TWS variations from hydroclimatic and anthropogenic factors, including precipitation, evapotranspiration, runoff, vegetation coverage, and irrigation water use.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Terrestrial Water Storage Changes Under the Grain for Green Program in the Yellow River Basin

et al. 2019

JGR Atmospheres

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Afforestation‐induced changes in water resources have attracted worldwide attention. However, a clear picture of quantitative attribution of terrestrial water storage (TWS) variation from hydroclimatic and anthropogenic factors is still lacking. In this study, a quantitative analysis of TWS variation was conducted in the Yellow River basin of China under the Grain for Green project with consideration of irrigation. The results showed that the TWS has decreased (increased) more and more quickly (slowly) in the Loess Plateau (headwater region). The TWS increase corresponded to increased runoff and soil moisture in the headwaters, and the TWS depletion corresponded to decreased runoff and groundwater in the Loess Plateau and downstream regions. Regarding the TWS change (TWSC), it exhibited a negative trend across the basin. The increase in evapotranspiration (ET) dominated the basin‐averaged TWSC reduction, while the increase in ET was highly related to the increases in vegetation cover and irrigation water use. For spatial TWSC variations, the value of precipitation minus ET could account for most changes in TWSC, except for those in the headwater region and a region near the internally drained area. The increased vegetation coverage, which can affect multiple hydrological processes, played an important role in these two excluded regions. Importantly, the irrigation‐induced TWSC was considerable and varied with different irrigation water sources (i.e., surface water and groundwater). Overall, the impacts of afforestation and irrigation on TWS are sufficiently important. The research in this study can provide guidance for the water resource management during revegetation efforts.

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Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Terrestrial Water Storage Changes Under the Grain for Green Program in the Yellow River Basin

et al. 2019

JGR Atmospheres

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“…If the vegetation in the study area is changed due to the influence of human factors such as returning farmland to forests and planting structure changes, the value of f human is not zero. Zhang et al [53] modified the NDV I before calculating the RUE in order to more clearly monitor land degradation or improvement in Badain Jaran Desert (BJD). In this study, we calculated the RUE according to the method proposed by Zhang et al [53].…”

Section: Assessment Methods Of Human-induced Factorsmentioning

confidence: 99%

“…Zhang et al [53] modified the NDV I before calculating the RUE in order to more clearly monitor land degradation or improvement in Badain Jaran Desert (BJD). In this study, we calculated the RUE according to the method proposed by Zhang et al [53]. We assumed that the human activities from 2003 to 2009 were stable.…”

Section: Assessment Methods Of Human-induced Factorsmentioning

confidence: 99%

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Correlation Analysis Between Groundwater Decline Trend and Human-Induced Factors in Bashang Region

Zhou

Zhao

Zhang

et al. 2019

Water

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In Northern China, many regions and cities are located in semi-arid regions, and groundwater is even the only source of water to support human survival and social development. Affected by human activities, the Bashang (BS) region (including Zhangjiakou City and part of Xilin Gol League) have showed a significant decline in groundwater levels in recent years. However, in the BS region, the causes for the decline in groundwater level were not clear. In this study, we used time series of multi-source data Moderate Resolution Imaging Spectroradiometer (MODIS), Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) to analyze vegetation and groundwater changes based on linear regression models. The variation trends of NDVI (Normalized Difference Vegetation Index, derived from MODIS) and GWSA (groundwater storage anomaly, derived from GRACE and GLDAS) indicated the increasingly better vegetation in the agriculture planting areas, partially degraded vegetation in the grassland, and the declining groundwater level in the whole study region. In order to assess the impact of human-induced factors on vegetation and groundwater, the R U E s e a s o n a l calculation model was proposed based on RUE (rain use efficiency) in this study. The R U E s e a s o n a l calculation results showed that human-induced factors promoted the growth of vegetation in agricultural areas and accelerated the consumption of groundwater. In addition, we also obtained temporal and spatial distributions of human activities-affected regions. The area affected by human-induced factors in the south-central study area increased, which accelerated the decline in groundwater levels. From bulletin data, we found that the increasing tourists and vegetable production are respectively the most important factors for the increased consumption of urban water and agricultural water. Based on multi-source data, the influences of various human-induced factors on the ecological environment were explored and the area affected by human-induced factors was estimated. The results provide the valuable guidance for water resource management departments. In the BS region, it is necessary to regulate agricultural water use and strengthen residential water management.

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“…Numerous studies in recent years have used satellite data based products to relate vegetation and ET changes to water resources variability (Tan et al, 2018;Zhang et al, 2018;Bouchez et al, 2016;López et al, 2017;Mohebzadeh and Fallah, 2019). For instance, Omute et al, (2012) demonstrated the link between NDVI and water level fluctuations in Lake Victoria.…”

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confidence: 99%

Mapping long-term evapotranspiration losses in the catchment of the shrinking Lake Poopó

Torres-Batlló

Martí-Cardona

Pillco-Zolá

2019

Preprint

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10Lake Poopó is located in the Andean Mountain Range Plateau or Altiplano. A generalised decline in the lake water level has been observed since 2001, coinciding roughly with an intensification of agriculture exploitations such as quinoa crops. Several factors have been blamed for the lake recession, including climate change, increased farming, mining abstractions and population growth. Being an endorheic catchment, evapotranspiration (ET) losses are expected to be the main water output 15 mechanism. This study used a time series of more than 1000 satellite data based products to map ET and vegetation index trends in the Poopó catchment between 2001 and 2014. The aim was to explore the links between ET, vegetation, land use and the lake recession. The years 2015 and 2016 were excluded of the analysis due to the strong impact of El Niño phenomenon over the study area, which could have masked long term temporal trends related to land use.We quantified the ET losses and vegetation indices for the main cover types in the Poopó catchment and their temporal trends 20 in the study period. It became obvious that cultivated areas were the ones which had experienced the largest increase in water consumption, although they were not in all instances the land covers with the largest losses. This quantification provides essential information for the sustainable planning of water resources and land uses in the catchment.We also collected on-site and satellite precipitation data. When integrated over the entire catchment, the overall ET losses showed a sustained increasing trend at an average rate of 3.2 mm yr -1 . Rainfall water inputs followed a similar trend, with a 25 slightly higher increasing rate of 5.2 mm yr -1 . Based on these results and from the point of view of the catchment water balance, the ET loss intensification derived from crop expansion has been compensated by the increase in precipitation. Consequently, this study found no clear link between the agriculture intensification and the Lake Poopó recession in the analysed period. 30 35 https://doi.

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Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China

Cited by 21 publications

References 94 publications

Quantitative Analysis of Terrestrial Water Storage Changes Under the Grain for Green Program in the Yellow River Basin

Quantitative Analysis of Terrestrial Water Storage Changes Under the Grain for Green Program in the Yellow River Basin

Correlation Analysis Between Groundwater Decline Trend and Human-Induced Factors in Bashang Region

Mapping long-term evapotranspiration losses in the catchment of the shrinking Lake Poopó

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