Verification of the applicability of PRECIS-simulated temperature on the Loess Plateau of China

Lü, Zhemin; Li, Zhi; Li, Jingjing

doi:10.1016/j.chnaes.2016.06.004

Cited by 7 publications

(7 citation statements)

References 13 publications

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“…The aboveground, belowground, and soil carbon densities increased with an increasing proportion of clay and a decreasing proportion of sand in the soil on the Tibetan Plateau, which is consistent in consistent with the results of Yang et al (2009b) in Tibetan grasslands and Li et al (2021) in loess plateau ecosystems. All these results are consistent with the inverse texture hypothesis, i.e., that more carbon can be stored in fine-texture soils with higher water-holding capacity (Noy-Meir, 1973; Yang et al, 2009b; Li et al, 2021). Soil carbon density increases when the soil particles are dominated by clays with smaller particle sizes, which have a larger surface area and are more likely to form soil aggregates, which slows the decomposition of organic matter.…”

Section: Discussionsupporting

confidence: 91%

The Spatial Distribution and Driving Factors of Carbon Storage in the Grassland Ecosystems of the Northern Tibetan Plateau

Dongzhi,

Xueying,

Mingming

et al. 2023

Journal of Resources and Ecology

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Section: Discussionsupporting

confidence: 91%

The Spatial Distribution and Driving Factors of Carbon Storage in the Grassland Ecosystems of the Northern Tibetan Plateau

Dongzhi,

Xueying,

Mingming

et al. 2023

Journal of Resources and Ecology

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“…Current climate models can simulate the large-scale change features of global precipitation, but there are still many deficiencies in the simulation of regional-scale precipitation (Ying & Chong-Hai, 2012;Zhen et al, 2015). The precipitation simulation data of some climate models cannot be directly used for hydrological utility assessment (Lü et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Evaluating applicability of multi-source precipitation datasets for runoff simulation of small watersheds: a case study in the United States

Kong

Hong

Tian

et al. 2020

European Journal of Remote Sensing

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Small watersheds are ideal objects for studying the evolution of hydrological and water resources at small scales. Whether precipitation products can meet the runoff simulation of small watersheds is the main purpose of this study. With NOAA-CPC-US precipitation as a reference, in nine small watersheds of the United States, accuracy of the precipitation products such as PERSIANN, PERSIANN-CDR, TRMM-3B42V7, GPM-IMERG, StageIV, and ERA5 is analyzed. By driving the CREST hydrological model using these datasets, the runoff simulation effects were evaluated. Result shows the precipitation products match the NOAA-CPC-US from high to low in the order of StageIV, PERSIANN-CDR, GPM-IMERG, PERSIANN, ERA5, and finally TRMM-3B42 V7. These datasets have relatively low accuracy in the northern high latitude area and the western mountains, while accuracy is better in the central, southern, and eastern parts of the United States. In the runoff simulation effectiveness evaluation, the daily runoff of watersheds is simulated during the same verification period. The results show that: NOAA-CPC-US and StageIV have good simulation effect in small watersheds. In the northern and western United States, the PERSIANN, PERSIANN-CDR, GPM-IMERG, and ERA5 for runoff simulation should be used with caution. TRMM-3B42V7 is not suitable for runoff simulation in small watershed.

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“…Deep‐rooted plants can take up deep soil water when shallow soil water availability is limited (Z. Zhang et al, 2020). However, over depletion of deep soil water would form a dried soil layer, described as the soil layer with a water content range between the PW and the stable field capacity (Y. Li, 1983). Previous studies on the CLP have mainly discussed the dried soil layer caused by afforestation (Deng et al, 2016; B. Su & Shangguan, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Research in Australia has shown that alfalfa can use at least 50 mm more water than annual pastures or crops (Ridley et al, 2001), creating a larger soil water deficit and leading to potentially less groundwater recharge (Crawford & Macfarlane, 1995). In the Loess Plateau, Y. Li (1983) firstly observed that growing alfalfa continuously produces a relatively dry layer in the deep soil profile from 200 to 1000 cm, indicating the potential adverse effects of the dry layer on regional hydrological processes. Y. Li and Huang (2008) found alfalfa to decrease soil water storage in the 0–500 cm profile at a rate of 33.5 mm yr −1 and suggested that the length of the alfalfa phase in rotation should be less than 8 years to restore soil water deficit in farmland.…”

Section: Introductionmentioning

confidence: 99%

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Deep soil water depletion and soil organic carbon and total nitrogen accumulation in a long‐term alfalfa pasture

2023

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Deep soil resources are essential for improving the production and ecological functions of dryland ecosystems. Relationships between deep soil water depletion and carbon and nitrogen accumulation in long-term dryland pastures were not well quantified and understood. This study aimed to quantify the changes in deep soil water, soil organic carbon (SOC), and total nitrogen (TN) in alfalfa pasture and identify their relationships with root density. We conducted a field experiment in the south Loess Plateau in 2020 and 2021. Soil water, SOC, and TN contents and alfalfa root length density to 1000-cm-depth were measured in alfalfa pastures and annual crop reference fields.Soil water depletion by alfalfa mainly occurred in the first 6 years with a depletion rate of 41.6, 49.1, and 62.1 mm yr À1 in the shallow (0-200 cm), middle (200-500 cm) and deep (500-1000 cm) soil layers, respectively. Total depletion after 6 and 19 years were 916.8 and 1049.4 mm, respectively. SOC and TN storages in the shallow and middle layers continuously increased and peaked at 19 years after planting, and those in the deep soil increased quickly in the early ages but showed few changes in the following years. Final SOC and TN storages in the 0-1000 cm profile in alfalfa pasture reached 61.1 and 5.4 kg m À2 , respectively, 13.7% and 20.4% higher than the reference field.Soil in 200-1000 cm contributed to 60.7% and 47.8% of the total SOC and TN storage increments, respectively. The deep rooting system of alfalfa derived soil water depletion and SOC and TN increments, as indicated by the significant relationships between fine root length density and the changes in soil water, SOC and TN storages. Therefore, the deep soil contributed substantially to the carbon and nitrogen sequestration in alfalfa early ages but the contribution was limited by water shortage in the middle and late ages. We suggest stopping alfalfa early (≤6 years) to increase water sustainability and maintain carbon and nitrogen sequestration efficiencies in the alfalfa pasture and crop rotation system on Loess Plateau.

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Verification of the applicability of PRECIS-simulated temperature on the Loess Plateau of China

Cited by 7 publications

References 13 publications

The Spatial Distribution and Driving Factors of Carbon Storage in the Grassland Ecosystems of the Northern Tibetan Plateau

The Spatial Distribution and Driving Factors of Carbon Storage in the Grassland Ecosystems of the Northern Tibetan Plateau

RETRACTED ARTICLE: Evaluating applicability of multi-source precipitation datasets for runoff simulation of small watersheds: a case study in the United States

Deep soil water depletion and soil organic carbon and total nitrogen accumulation in a long‐term alfalfa pasture

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