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soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi,India

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Ecological Processes 2020年第1期9卷 172-184页

作者： Archana Meena M.Hanief J.Dinakaran K.S.Rao Department of Botany University of RajasthanJaipurRajasthan 302004India Department of Botany Baba Ghulam Ghulam Shah Badshah UniversityRajouriJammu and Kashmir 185234India Department of Botany Bhaskaracharya College of Applied SciencesUniversity of DelhiDwarkaDelhi 110007India Department of Botany University of DelhiDelhi 110007India

Background:soil respiration(S_(R))is a critical process for understanding the impact of climatic conditions and land degradation on the carbon cycle in terrestrial ecosystems.We measured the S_(R) and soil environmental factors over 1 year in four land uses with varying levels of disturbance and different vegetation types viz.,mixed forest cover(MFC),Prosopis juliflora(Sw.)forest cover(PFC),agricultural field(AF),and vegetable field(VF),in a semi-arid area of Delhi,India.Our primary aim was to assess the effects of soil moisture(S_(M)),soil temperature(S_(T)),and soil microbial activity(S_(MA))on the S_(R).Methods:The S_(R) was measured monthly using an LI-6400 with an infrared gas analyser and a soil chamber.The S_(M) was measured using the gravimetric method.The S_(T)(10 cm)was measured with a probe attached to the LI-6400.The S_(MA) was determined by fluorescein diacetate hydrolysis.Results:The S_(R) showed seasonal variations,with the mean annual S_(R) ranging from 3.22 to 5.78μmol m^(−2) s^(−1) and higher S_(R) rates of~15-55%in the cultivated fields(AF,VF)than in the forest sites(MFC,PFC).The VF had significantly higher S_(R)(P0.05).Contrasting results were observed in the VF,which showed high S_(R) during summer(May;11.21μmol m^(−2) s^(−1))and a significant exponential relationship with the S_(T)(R^(2)=0.52;P<0.05).The S_(R) was positively related to the SMA(R2=0.44-0.5;P<0.001).The interactive equations based on the independent variables S_(M),S_(T),and S_(MA) explained 91-95%of the seasonal variation in S_(R) with better

关键词： soil respiration soil moisture soil microbes soil temperature Precipitation Land use change Semi-arid ecosystems

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Importance of soil moisture conservation in mitigating climate change

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SCIENCE BULLETIN 2024年第9期69卷 1332-1341页

作者： Zuo, Zhiyan Qiao, Liang Zhang, Renhe Chen, Deliang Piao, Shilong Xiao, Dong Zhang, Kaiwen Fudan Univ Inst Atmospher Sci Key Lab Polar Atmosphere Ocean Ice Syst Weather & Minist EducDept Atmospher & Ocean SciShanghai K Shanghai 200438 Peoples R China Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Nanjing 210044 Peoples R China Univ Gothenburg Dept Earth Sci S-40530 Gothenburg Sweden Peking Univ Coll Urban & Environm Sci Sino French Inst Earth Syst Sci Beijing 100091 Peoples R China China Meteorol Adm Key Lab Cites Mitigat & Adaptat Climate Change Sh Shanghai 200030 Peoples R China

A troubling feedback loop, where drier soil contributes to hotter climates, has been widely recognized. This study, drawing on climate model simulations, reveals that maintaining current global soil moisture levels could significantly alleviate 32.9% of land warming under low-emission scenarios. This action could also postpone reaching critical warming thresholds of 1.5 degrees C and 2.0 degrees C by at least a decade. Crucially, preserving soil moisture at current levels could prevent noticeable climate change impacts across 42% of the Earth's land, a stark deviation from projections suggesting widespread impacts before the 2060s. To combat soil drying, afforestation in mid-to-low latitude regions within the next three decades is proposed as an effective strategy to increase surface water availability. This underscores the substantial potential of nature-based solutions for managing soil moisture, benefiting both climate change mitigation and ecological enhancement. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Global warming soil moisture Climate change signal Nature -based solutions MODEL INTERCOMPARISON PROJECT LAND-ATMOSPHERE FEEDBACKS HOT EXTREMES TEMPERATURE SURFACE IMPACT CHINA CMIP6

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soil-moisture dynamics and tree-water status in a Picea crassifolia forest, Qilian Mountains, China

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Research in Cold and Arid Regions 2020年第1期12卷 34-46页

作者： Hu Liu Lin Li SiJia Wang QiYue Yang WenZhi Zhao Linze Inland River Basin Research Station Chinese Ecosystem Research NetworkLanzhouGansu 730000China Key Laboratory of Ecohydrology of Inland River Basin Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China University of Chinese Academy of Sciences Beijing 100029China

Landscapes of the mountainous regions in northwestern China comprise a unique pattern of vegetation,consisting of a mosaic of grassland and shrub-forest.Forests generally self-organize into ordered structures and coalesce into blocks on north-facing slopes or stripes along southeast-facing slopes,with Picea crassifolia being the most representative and dominant tree species.We investigated the tree-water status and soil-moisture dynamics at a forest site(Guantan)of the Qilian Mountains in northwest China.The 30-minute-interval measurements of tree-sap flow during the growing season of 2008 are presented,and the potential functional relations between tree transpiration and environmental factors are evaluated.soil moisture and solar energy were identified as the most influential factors,explaining more than 70%of the variance in sap flow.Based on field measurements obtained at the forest site,a stochastic model of soil-moisture dynamics was tested;and the steady-state probability density functions(PDFs)of the long-term soil-moisture dynamics and static tree-water stress were estimated using the validated model and parameters.We found that the model reproduced measured soil moisture well,despite all the simplifying assumptions.The generated PDF of long-term soil moisture was relatively open,with middle to low average values;and the calculated density of the static tree-water stress at the forest site was largely concentrated between 0 and 0.6,suggesting a moderate water-stress situation in most cases.We argue that both water and energy are limiting factors for vegetation at the forest site.In addition,the tradeoff between reduced evapotranspiration(ET)from limited solar energy and increased soil-moisture availability may create a stressed but tolerable environment and,in turn,produce a relatively constant ecological niche favorable to Picea crassifolia growth.

关键词： sap flow soil moisture stochastic modeling semiarid alpine ecosystem

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In situ observations of soil hydraulic properties and soil moisture in a high,cold mountainous area of the northeastern Qinghai-Tibet Plateau

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Science China Earth Sciences 2023年第8期66卷 1757-1775页

作者： Jie TIAN Baoqing ZHANG Xuejin WANG Chansheng HE Key Laboratory of West China’s Environmental Systems(Ministry of Education) College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Department of Geography Environmentand TourismWestern Michigan UniversityKalamazooMichigan 49009USA Dayekou Hydrological Process Observation and Research Station Lanzhou UniversityLanzhou 730000China

Information on soil hydraulic properties(SHPs)and soil moisture(SM)is essential to understand and model water and energy cycles at terrestrial surfaces.However,information regarding these soil properties in existing datasets is often scarce and inaccurate for high,cold mountainous areas such as the Qinghai-Tibet Plateau(QTP).To help bridge this gap,we have compiled an SHP and SM dataset for the northeastern QTP(a major high,cold mountainous area)using measurements of soil collected at 5 and 25 cm depths from 206 sampling sites,and in-situ observations from 32 SM monitoring stations at 5,15,25,40,and 60 cm depths.We used this dataset to explore large-scale variations(spatial and temporal)in SHPs and SM across the study area.We also evaluated several widely used SHP(soil texture,bulk density,and saturated hydraulic conductivity)and SM datasets derived by remote-sensing methods,reanalysis and data assimilation.Our datasets showed that SM significantly decreases from the southeastern part to the northwestern part in the study area,and SM decreases with increases in depth over 0–70 cm.Moreover,the regional annual SM showed decreased trend from 2014 to 2020 in the study area.Additionally,we detected substantial bias in the currently available large SHP datasets,which do not capture the spatial variability recorded in the in-situ observations.Especially,clay and sand estimates from both HWSD and soilGrid datasets were significantly overestimated,and silt was significantly underestimated within the depth of 0–30 cm in the study area.We also found that SM values derived from remote sensing datasets fitted the in-situ SM observations better than those derived from the reanalysis data(which had higher bias)and data assimilation(which did not capture the temporal variability of SM).Our findings emphasize the unneglectable bias of the widely-used large-scale SHP datasets,especially for the soil texture data.Thus,an urgent need for large-scale field sampling of SHP in mountainous areas.The in-situ observation dataset presented

关键词： Mountainous areas soil hydraulic properties soil moisture soil property datasets soil moisture datasets

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Effects of soil Hydraulic Properties on soil moisture Estimation

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Journal of Meteorological Research 2023年第1期37卷 58-74页

作者： Xiaolei FU Haishen LYU Zhongbo YU Xiaolei JIANG Yongjian DING Donghai ZHENG Jinbai HUANG Hongyuan FANG College of Hydraulic Science and Engineering Yangzhou UniversityYangzhou 225009 Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources Nanjing University of Information Science&TechnologyNanjing 210044 State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210098 Joint International Research Laboratory of Global Change and Water Cycle Hohai UniversityNanjing 210098 Yangtze Institute for Conservation and Development Hohai UniversityNanjing210098 State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000 Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101

Accurate quantification of soil moisture is essential to understand the land surface processes.soil hydraulic properties influence water transport in soil and thus affect the estimation of soil moisture.However,some soil hydraulic properties are only observable at a few field sites.In this study,the effects of soil hydraulic properties on soil moisture estimation are investigated by using the one-dimensional(1-D)Richards equation at ELBARA,which is part of the Maqu monitoring network over the Tibetan Plateau(TP),China.soil moisture assimilation experiments are then conducted with the unscented weighted ensemble Kalman filter(UWEnKF).The results show that the soil hydraulic properties significantly affect soil moisture simulation.Saturated soil hydraulic conductivity(Ksat)is optimized based on its observations in each soil layer with a genetic algorithm(GA,a widely used optimization method in hydrology),and the 1-D Richards equation performs well using the optimized values.If the range of Ksat for a complete soil profile is known for a particular soil texture(rather than for arbitrary layers within the horizon),optimized Ksat for each soil layer can be obtained by increasing the number of generations in GA,although this increases the computational cost of optimization.UWEnKF performs well with optimized Ksat,and improves the accuracy of soil moisture simulation more than that with calculated Ksat.Sometimes,better soil moisture estimation can be obtained by using optimized saturated volumetric soil moisture content Ksat.In summary,an accurate soil profile can be obtained by using soil moisture assimilation with optimized soil hydraulic properties.

关键词： soil moisture one-dimensional(1-D)Richards equation unscented weighted ensemble Kalman filter(UWEnKF) soil hydraulic properties genetic algorithm

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Impact of Antecedent soil moisture Anomalies over the Indo-China Peninsula on the Super Meiyu Event in 2020

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Journal of Meteorological Research 2023年第2期37卷 234-247页

作者： Yinshuo Dong Haishan Chen Xuan Dong Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science&TechnologyNanjing210044 School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing210044

In the summer of 2020,a super Meiyu event occurred in the Yangtze River basin(YRB),causing enormous economic losses and human casualties.Recent studies have investigated the possible causes of this super Meiyu event from the perspective of anomalous atmospheric circulation activities and sea surface temperature(SST)anomalies;however,the influence of land surface processes has not garnered considerable attention.This study investigates the possible contributions of land surface processes to this extreme event based on observational analysis and numerical simulations,and shows that antecedent soil moisture(SM)anomalies over the Indo-China Peninsula(ICP)may have had a vital influence on the super Meiyu in 2020.Negative SM anomalies in May over the ICP increased the surface temperature and sensible heat flux.The“memory”of soil allowed the anomalies to persist into the Meiyu period.The heating of the lower atmosphere by the surface strengthened the western Pacific subtropical high,which caused an anomalous anticyclone from the ICP to Northwest Pacific and thus enhanced the southwesterly winds and vertical motion over the YRB.Consequently,the water vapor flux and convergence were strengthened.Sensitivity experiments based on the Weather Research and Forecasting(WRF)model further confirmed the results of observational analysis and indicated that the warm air heated by the ICP surface significantly warmed the lower troposphere from the ICP to Northwest Pacific under the influence of the background wind,thus increasing the geopotential height and inducing an anticyclone.The results of the sensitivity experiments showed that the SM anomalies in May over the ICP increased the precipitation by 10.6%from June to July over the YRB.These findings can improve our understanding of the mechanism of the super Meiyu event in 2020 and facilitate the prediction of extreme Meiyu events.

关键词： super Meiyu soil moisture Indo-China Peninsula surface heating

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Enhanced Seasonal Predictability of Spring soil moisture over the Indo-China Peninsula for Eastern China Summer Precipitation under Non-ENSO Conditions

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Advances in Atmospheric Sciences 2023年第9期40卷 1632-1648页

作者： Chujie GAO Gen LI College of Oceanography&State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210024China Key Laboratory of Meteorological Disaster Ministry of Education(KLME)&Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China

Seasonal prediction of summer precipitation over eastern China is closely linked to the East Asian monsoon circulation,which is largely affected by the El Niño-Southern Oscillation(ENSO).In this study,results show that spring soil moisture(SM)over the Indo-China peninsula(ICP)could be a reliable seasonal predictor for eastern China summer precipitation under non-ENSO conditions.When springtime SM anomalies are present over the ICP,they trigger a structured response in summertime precipitation over most of eastern China.The resultant south-to-north,tri-polar configuration of precipitation anomalies has a tendency to yield increased(decreased)precipitation in the Yangtze River basin and decreased(increased)in South and North China with a drier(wetter)spring soil condition in the ICP.The analyses show that ENSO exerts a powerful control on the East Asian circulation system in the ENSO-decaying summer.In the case of ENSO forcing,the seasonal predictability of the ICP spring SM for eastern China summer precipitation is suppressed.However,in the absence of the influence of ENSO sea surface temperature anomalies from the preceding winter,the SM anomalies over the ICP induce abnormal local heating and a consequent geopotential height response owing to its sustained control on local temperature,which could,in turn,lead to abnormal eastern China summer precipitation by affecting the East Asian summer monsoon circulation.The present findings provide a better understanding of the complexity of summer climate predictability over eastern China,which is of potential significance for improving the livelihood of the people.

关键词： summer precipitation El Niño-Southern Oscillation soil moisture Indo-China Peninsula eastern China East Asian summer monsoon

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Evaluation of nine major satellite soil moisture products in a typical subtropical monsoon region with complex land surface characteristics

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International soil and Water Conservation Research 2022年第3期10卷 518-529页

作者： Liuyang Li Ya Liu Qing Zhu Kaihua Liao Xiaoming Lai Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing210008China University of Chinese Academy of Sciences Beijing100049China

Assessing accuracies of satellite soil moisture(SM)products in areas with strong anthropogenic activities,abundant precipitation,and dense vegetation is important but limited.In this study,performances of nine satellite SM products,including the European Space Agency Climate Change Initiative(ESA CCI),and the ascending and descending products of the Advanced Microwave Scanning Radiometer 2(AMSR2),Chinese Fengyun-3B(FY3B),Chinese Fengyun-3C(FY3C),and soil moisture Active Passive(SMAP),were evaluated against in-situ SM in the Yangtze River Delta(YRD)from 2015 to 2018.Results showed that the ESA CCI outperformed other products,with averaged correlation coefficient(R)of 0.522,correlation coefficient for SM anomalies(Rano)of 0.419,and unbiased root mean square error(ubRMSE)of 0.040 m^(3)m^(-3),followed by the SMAP_A and SMAP_D.Overestimation was observed in the AMSR2 products(Bias>0.081 m^(3)m^(-3)),while underestimation was found in the FY3B and FY3C products(Bias<-0.104 m^(3)m^(-3)).Moreover,R values decreased with the increase in water area percentage(WAP),land cover heterogeneity(GSI),fractional vegetation cover(FVC),and precipitation(PRE).Threshold values were observed at 3%for the WAP,0.05 for the FVC,and 900 mm yr^(-1)for the PRE,below which sharp declines of accuracy were observed.The WAP,GSI,and FVC were divided into five sub-classes with their values increasing with the sub-class level(I to V).Correlations coefficients between these perturbing factors and R(correlation between satellite and in-situ SM)increased as sub-class levels increased.Under sub-classes I,II,and III,these three factors had limited influences on accuracies of satellite SM products.However,under sub-classes IV and V,significant impacts of these three perturbing factors were observed.Moreover,when sub-classes of the PRE increased from I to V,correlations between Bias and PRE decreased first and then increased.These findings can help to determine suitable satellite SM products in the YRD and similar areas.

关键词： Remote sensing soil moisture soil water content The yangtze river delta

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soil moisture response to land use and topography across a semi-arid watershed: Implications for vegetation restoration on the Chinese Loess Plateau

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Journal of Mountain Science 2022年第1期19卷 103-120页

作者： XIA Lu BI Ru-tian SONG Xiao-yu HU Wei LYU Chun-juan XI Xu LI Huai-you College of Resources and Environment Shanxi Agricultural UniversityTaigu 030801China State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China Xi'an University of TechnologyXi'an 710048China The New Zealand Institute for Plant and Food Research Limited Private Bag 4704Christchurch 8140New Zealand School of Geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhou 215000China Xifeng Scientific Experiment Station of soil and Water Conservation Yellow River Conservancy CommissionQingyang 745000China

soil moisture is a limiting factor of ecosystem development in the semi-arid Loess Plateau. Characterizing the soil moisture response to its dominant controlling factors, such as land use and topography, and quantifying the soil-water carrying capacity for revegetation is of great significance for vegetation restoration in this region. In this study, soil moisture was monitored to a depth of 2 m in three land use types(native grassland, introduced grassland,and forestland), two landforms(hillslope and gully),and two slope aspects(sunny and shady) in the Nanxiaohegou watershed of the Loess Plateau,Northwest China. The MIKE SHE model was then applied to simulate the soil moisture dynamics under different conditions and determine the optimal plant coverage. Results showed that the average soil moisture was higher in native grassland than in introduced grassland and Platycladus orientalis forestland for a given topographic condition;however,a high soil moisture content was found in Robinia pseudoacacia forestland, with a value that was even higher than the native grassland of a sunny slope. The divergent results in the two forestlands were likely attributed to the differences in plant coverage. Gully regions and shady slopes usually had higher soil moisture, while lower soil moisture was usually distributed on the hillslope and sunny slope.Furthermore, the mean absolute relative error and Nash-Sutcliffe efficiency coefficient of the MIKE SHE model ranged between 2.8%–7.8% and 0.550–0.902,respectively, indicating that the model could effectively simulate the soil moisture dynamics. The optimal plant coverage was thus determined for hillslope P. orientalis by the model, corresponding to a leaf area index(LAI) value of 1.92. Therefore, for sustainable revegetation on the Loess Plateau,selecting suitable land use types(natural vegetation),controlling the planting density/LAI, and selecting proper planting locations(gully and shady slope regions) should be considered by local policy makers to avoid the over-consumption of

关键词： soil moisture MIKE SHE Optimal plant coverage Land use Topography

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Interrelationship of soil moisture and temperature to sylvatic plague cycle among prairie dogs in the Western United States

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Integrative Zoology 2021年第6期16卷 852-867页

作者： Cassandra D.PAULING Deborah L.FINKE Deborah M.ANDERSON Department of Veterinary Pathobiology University of MissouriColumbiaMissouriUSA Division of Plant Sciences University of MissouriColumbiaMissouriUSA

Plague,caused by Yersinia pestis,is a flea-borne disease that is endemic in areas throughout the world due to its successful maintenance in a sylvatic cycle,mainly in areas with temperate climates.Burrowing rodents are thought to play a key role in the enzootic maintenance as well as epizootic outbreaks of plague.In the United States,prairie dogs(Cynomys),rodents(Muridae),and ground squirrels(Spermophilus)are susceptible to infection and are parasitized by fleas that transmit plague.In particular,prairie dogs can experience outbreaks that rapidly spread,which can lead to extirpation of colonies.A number of ecological parameters,including climate,are associated with these epizootics.In this study,we asked whether soil parameters,primarily moisture and temperature,are associated with outbreaks of plague in black-tailed prairie dogs and Gunnison’s prairie dogs in the Western United States,and at what depth these associations were apparent.We collected publicly available county-level information on the occurrence of population declines or colony extirpation,while historical soil data was collected from SCAN and USCRN stations in counties and states where prairie dogs have been located.The analysis suggests that soil moisture at lower depths correlates with colony die-offs,in addition to temperature near the surface,with key differences within the landscape ecology that impact the occurrence of plague.Overall,the model suggests that the burrow environment may play a significant role in the epizootic spread of disease amongst black-tailed and Gunnison’s prairie dogs.

关键词： plague prairie dogs soil moisture soil temperature sylvatic cycle Yersinia pestis

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