A soil particle-size distribution dataset for regional land and climate modelling in China

Shangguan, Wei; Dai, Yongjiu; Liu, Baoyuan; Ye, Aizhong; Yuan, Hua

doi:10.1016/j.geoderma.2011.01.013

Cited by 152 publications

(103 citation statements)

References 17 publications

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“…We used the Heihe Watershed Allied Telemetry Experimental Research (HiWA-TER) land cover map with 30 m resolution Zhong et al, 2014) to identify the specific crop types (corn, cereals, soybean, or others) from each crop grid. The soil dataset (content of clay, silt, sand, and organic matter) included in the CLM4.5 was replaced by the China Soil Characteristics Dataset with a 1 km resolution (Shangguan et al, 2012). The databases were provided by CARSDC (http: //westdc.westgis.ac.cn/).…”

Section: Experimental Designmentioning

confidence: 99%

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

2017

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Abstract. Irrigation, which constitutes ∼ 70 % of the total amount of freshwater consumed by the human population, is significantly impacting land-atmosphere fluxes. In this study, using the improved Community Land Model version 4.5 (CLM4.5) with an active crop model, two high-resolution (∼ 1 km) simulations investigating the effects of irrigation on latent heat (LH), sensible heat (SH), and carbon fluxes (or net ecosystem exchange, NEE) from land to atmosphere in the Heihe River basin in northwestern China were conducted using a high-quality irrigation dataset compiled from 1981 to 2013. The model output and measurements from remote sensing demonstrated the capacity of the developed models to reproduce ecological and hydrological processes. The results revealed that the effects of irrigation on LH and SH are strongest during summer, with a LH increase of ∼ 100 W m −2 and a SH decrease of ∼ 60 W m −2 over intensely irrigated areas. However, the reactions are much weaker during spring and autumn when there is much less irrigation. When the irrigation rate is below 5 mm day −1 , the LH generally increases, whereas the SH decreases with growing irrigation rates. However, when the irrigation threshold is in excess of 5 mm day −1 , there is no accrued effect of irrigation on the LH and SH. Irrigation produces opposite effects to the NEE during spring and summer. During the spring, irrigation yields more discharged carbon from the land to the atmosphere, increasing the NEE value by 0.4-0.8 gC m −2 day −1 , while the summer irrigation favors crop fixing of carbon from atmospheric CO 2 , decreasing the NEE value by ∼ 0.8 gC m −2 day −1 . The repercussions of irrigation on land-atmosphere fluxes are not solely linked to the irrigation amount, and other parameters (especially the temperature) also control the effects of irrigation on LH, SH, and NEE.

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Section: Experimental Designmentioning

confidence: 99%

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

2017

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“…Simultaneously, soil survey data was further supplemented by 7799 soil profiles (33011 as the total soil samplings) from local soil survey data [46].…”

Section: Data Sources and Preparationmentioning

confidence: 99%

“…In order to meet the needs of research on climate change, Shangguan et al [46] has established a distribution database of soil particle size in China, and has collected 8979 soil profiles, including 33039 layers which not only were from the second national soil survey data [80] and the "1 : 1000000 soil distribution map", but also were from local soil survey data, especially in Tibet, including soil bulk density data. Based on the studies of Niu et al and Shangguan et al, the soil profiles, soil area data and the method of carbon density measurement have been supplemented and improved in this paper.…”

Section: The Comparative Analysis Of Wetland Soil Organic Carbon Poolmentioning

confidence: 99%

Preliminary estimation of the organic carbon pool in China’s wetlands

et al. 2012

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“…There was also one sample point of sandy loam, two sample points of silty sand, and three sample points of loam. The old soil texture map [18] was used to connect the category combination generated by fuzzy c-means clustering and soil types, and the membership curve corresponding to soil types and environmental factors was edited in the SOLIM model. According to the membership curve, we can infer the membership graph of individual soil types.…”

Section: Soil Texture Mapping For the Forest-steppe Zone In The Qiliamentioning

confidence: 99%

Mapping the Soil Texture in the Heihe River Basin Based on Fuzzy Logic and Data Fusion

Liu

et al. 2017

Sustainability

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Abstract:Mapping soil texture in a river basin is critically important for eco-hydrological studies and water resource management at the watershed scale. However, due to the scarcity of in situ observation of soil texture, it is very difficult to map the soil texture in high resolution using traditional methods. Here, we used an integrated method based on fuzzy logic theory and data fusion to map the soil texture in the Heihe River basin in an arid region of Northwest China, by combining in situ soil texture measurement data, environmental factors, a previous soil texture map, and other thematic maps. Considering the different landscape characteristics over the whole Heihe River basin, different mapping schemes have been used to extract the soil texture in the upstream, middle, and downstream areas of the Heihe River basin, respectively. The validation results indicate that the soil texture map achieved an accuracy of 69% for test data from the midstream area of the Heihe River basin, which represents a much higher accuracy than that of another existing soil map in the Heihe River basin. In addition, compared with the time-consuming and expensive traditional soil mapping method, this new method could ensure greater efficiency and a better representation of the explicitly spatial distribution of soil texture and can, therefore, satisfy the requirements of regional modeling.

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A soil particle-size distribution dataset for regional land and climate modelling in China

Cited by 152 publications

References 17 publications

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

Preliminary estimation of the organic carbon pool in China’s wetlands

Mapping the Soil Texture in the Heihe River Basin Based on Fuzzy Logic and Data Fusion

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