Attributing regional trends of evapotranspiration and gross primary productivity with remote sensing: a case study in the North China Plain

Mo, Xingguo; Chen, Xuejuan; Hu, Shi; Liu, Suxia; Xia, Jun

doi:10.5194/hess-21-295-2017

Cited by 42 publications

(23 citation statements)

References 75 publications

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“…The increase of ET has been regarded as a significant indicator of intensification of the regional water cycle (Mo, Chen, Hu, Liu, & Xia, ). For the eight study tributaries, ET in the southern catchments was generally higher than that in the northern catchments.…”

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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“…Daily global solar radiation (MJ m –2 d –1 ) was estimated from sunshine hours based on the Ångström–Prescott equation (Wang, Wang, Yin, Feng, & Zhao, 2015). The dominant soil type in the NCP is calcaric fluvisol or fambisol with silt texture (Mo, Chen, Hu, Liu, & Xia, 2017; Wang et al., 2017). Soil data for the top 150 cm of soil profile (maximum rooting depth), such as soil water content at a lower limit of 15 bar (LL15, mm mm –1 ), drained upper limit (DUL, mm mm –1 ), saturated moisture content (SAT, mm mm –1 ), bulk density (BD, g cm –3 ), organic carbon (OC, %), etc., in each site were derived from the Chinese Soil Database (http://soil.geodata.cn/index.html).…”

Section: Methodsmentioning

confidence: 99%

Modeling the impacts of climate, soil, and cultivar on optimal irrigation amount of winter wheat in the North China Plain

et al. 2020

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Improving winter wheat (Triticum aestivum L.) productivity and water use efficiency (WUE) in the North China Plain (NCP) is critical to maintain grain security and ease the water shortage in this region. This study was conducted to examine the optimal irrigation amount (OI) for winter wheat across the NCP and analyze its responses to the climate, soil, and cultivar. We applied a novel approach with the Agricultural Production Systems sIMulator (APSIM) during 1961-2010 to estimate the OI by considering the trade-off between yield and WUE. Our results suggested that the optimum irrigation amount determined by climate (OI c ) ranged from 3-342 mm for simulation experiments considering climate impacts alone. When soil conditions were additionally considered, the optimal irrigation amount (OI cs ) showed an average decrease of 45 mm across 19 sites in the northern NCP but an average increase of 42 mm across 29 sites in the southern NCP. When all three factors were included, the estimated optimal irrigation amount (OI csc ) fell within the range of 3-286 mm across the NCP, lower than OI c and OI cs . Climate, soil, and cultivar explained 54, 27, and 19% of the spatial variation in the optimal irrigation amount, respectively. Further analysis indicated relatively higher optimal irrigation amounts for late-maturing cultivars, but their inter-annual variations and decadal changing rates were lower relative to the early-and medium-maturing cultivars. Our study demonstrated the incorporation of the genotypes and environmental factors, and recommended the optimal irrigation amount of 3-286 mm for winter wheat in the NCP.Abbreviations: APSIM, Agricultural Production Systems sIMulator; ET, evapotranspiration; NCP, North China Plain; OI, optimal irrigation amount; OI c , optimal irrigation amount determined by climate; OI cs , optimal irrigation amount considering climate and soil conditions; OI csc , optimal irrigation amount influenced by climate, soil, and cultivar; OI cse , estimated optimal irrigation amount of early-maturing variety Zhengmai 9023; OI csl , estimated optimal irrigation amount of late-maturing variety Lumai 21; OI csm , estimated optimal irrigation amount of medium-maturing variety Gaoyou 503; PAWC, plant available water content; PCA, principal component analysis; WUE, water use efficiency.

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“…Earth observation satellites have imaged the Earth periodically since the 70´s. These images can be processed to derive a wide range of spatial information of paramount relevance for water resources monitoring, such as extent of water bodies (Huang et al, 2018;Marti-Cardona et al, 2010;Marti-Cardona et al, 2013), rainfall Zambrano-Bigiarini et al, 2017;Ayehu et al, 2018) inland waters surface temperature (Marti-Cardona et al, 2019;Liu et al, 2015), vegetation indexes (Duethmann and Blöschl, 2018;Eckert et al, 2015;de Jong et al, 2011), or per-pixel evapotranspiration 25 values (Running et al, 2017;Marti-Cardona et al, 2016;Karimi & Bastiaanssen, 2015;Mo et al, 2017).…”

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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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Attributing regional trends of evapotranspiration and gross primary productivity with remote sensing: a case study in the North China Plain

Cited by 42 publications

References 75 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

Modeling the impacts of climate, soil, and cultivar on optimal irrigation amount of winter wheat in the North China Plain

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

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