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Spatial differentiation in stable isotope compositions of surface waters and its environmental significance in the Issyk-Kul Lake region of central asia

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Journal of Mountain Science 2018年第2期15卷 254-263页

作者： MA Long JILILI Abuduwaili LI Yao-ming State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi 830011 China cas research Center for ecology and environment of central asia Urumqi 830011 China

Stable isotope values of oxygen （180） and hydrogen （2H） of surface waters were used to study the origin and environmental significanees in the Issyk-Kul basin of Kyrgyzstan in central asia, which is the most important intermountain basin in the modern Tien Shan orogen. This study is the first analysis of hydrochemical spatial differentiation in the stable isotopes of surface waters in this watershed. 75 samples were collected from rivers, springs, lakes, rain and snow during the rainy season in July and August of 2o16. Stable isotopes of 180 and 2H were studied for all samples, and cation ratios （Sr/Ca and Mg/Ca） were also determined for lake water samples. Stable isotope values from precipitation scattered around the Local Meteoric Water Line （determined from Urumqi Station of the global network of isotopes in precipitation （GNIP））, together with values of the Deuterium excess parameter （d） from 15.3‰ to 30.5‰, with an average of 19.8‰, indicating that the moisture sources are primarily from regions with low relative humidity. The 8180 and 52H values were significantly different between the river and lake samples, indicating that regional evaporation caused the isotopic enrichment of lake water. Geospatial autocorrelation, measured by Moran＇s I coefficient, indicated weak spatial autocorrelation within stable isotopes of oxygen and hydrogen in the surface waters of the studied area, which is primarily an effect of climate during the water chemistry evolution. The cation ratios Sr/Ca and Mg/Ca in lake water samples were not correlated with the concentration of total dissolved solids, but did show correlation with stable isotopic values, which is significant for paleoenvironmental reconstruction.

关键词： Spatial differentiation Stable isotope Moisture Sources Geospatial autocorrelation IssykKul Lake central asia

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Transformation of vegetative cover on the Ustyurt Plateau of central asia as a consequence of the Aral Sea shrinkage

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Journal of Arid Land 2021年第1期13卷 71-87页

作者： Adilov BEKZOD Shomurodov HABIBULLO FAN Lianlian LI Kaihui MA Xuexi LI Yaoming Institute of Botany Academy of Sciences of UzbekistanTashkent 100125Uzbekistan cas research Center for ecology and environment of central asia Urumqi 830011China Xinjiang Institute of ecology and Geography Chinese Academy of SciencesUrumqi 830011China

The gradual shrinkage of the Aral Sea has led to not only the degradation of the unique environments of the Aral Sea,but also numerous and fast developing succession processes in the neighborhood habitats surrounding the *** this study,we investigated the vegetative succession processes related to the Aral Sea shrinkage in the Eastern Cliff of the Ustyurt Plateau in Republic of Uzbekistan,central *** compared the results of our current investigation(2010–2017)on vegetative communities with the geobotany data collected during the 1970s(1970–1980).The results showed great changes in the mesophytic plant communities and habitat aridization as a result of the drop in the underground water level,which decreased atmospheric humidity and increased the salt content of the soil caused by the shrinkage of the Aral *** the vegetative communities,we observed a decrease in the Margalef index(DMg),which had a positive correlation with the poly-dominance index(I-D).The main indications of the plant communities'transformation were the loss of the weak species,the appearance of new communities with low species diversity,the stabilization of the projective cover of former resistant communities,as well as the appearance of a new competitive species,which occupy new habitats.

关键词： plant cover mesophytic plant communities vegetative succession xerophytization biodiversity index climate change Aral Sea

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Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China

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Journal of Mountain Science 2018年第1期15卷 33-45页

作者： LIU Yang LI Lan-hai CHEN Xi YANG Jin-Ming HAO Jian-Sheng State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi 830011 China cas research Center for ecology and environment of central asia No.818 South Beijing Road Urumqi 830011 China Institute of Arid ecology and environment Xinjiang University Urumqi 830046 China

Snow depth is a general input variable in many models of agriculture,hydrology,climate and *** study makes use of observational data of snow depth and explanatory variables to compare the accuracy and effect of geographically weighted regression kriging(GWRK)and regression kriging(RK)in a spatial interpolation of regional snow *** auxiliary variables are analyzed using correlation coefficients and the variance inflation factor(VIF).Three variables,Height,topographic ruggedness index(TRI),and land surface temperature(LST),are used as explanatory variables to establish a regression model for snow *** estimated spatial distribution of snow depth in the Bayanbulak Basin of the Tianshan Mountains in China with a spatial resolution of 1 km is *** results indicate that 1)the result of GWRK's accuracy is slightly higher than that of RK(R^2=0.55 vs.R^2=0.50,RMSE(root mean square error)=0.102 m ***=0.077 m);2)for the subareas,GWRK and RK exhibit similar estimation results of snow *** in the Bayanbulak Basin with a snow depth greater than 0.15m are mainly distributed in an elevation range of 2632.00–3269.00 m and the snow in this area comprises 45.00–46.00% of the total amount of snow in this ***,the GWRK resulted in more detailed information on snow depth distribution than the *** final conclusion is that GWRK is better suited for estimating regional snow depth distribution.

关键词： Snow depth Spatial distribution Regression kriging Geographically weighted regression kriging

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Lost in transition： Forest transition and natural forest loss in tropical China

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Plant Diversity 2017年第3期39卷 149-153页

作者： Deli Zhai Jianchu Xu Zhicong Dai Dietrich Schmidt-Vogt centre for Mountain Ecosystem Studies (CMES) Kunming Institute of Botuny (CAS) Lanhei Road 132 Kunming 650201 China World Agroforestry centre (ICRAF) Central and East Asia Office Lanhei Road132 Kunming 650201 China Instituteof-environment and ecology School of the Environment and Safety Engineering fiangsu University No. 301 Xuefu Road Zhenjiang 212013 China Mountain Societies research Institute University of Central Asia 138 Toktogul Street Bishkek 720001 Kyrgyzstan

The term forest transition refers to a change in forest cover over a given area from a period of net forest area loss to a period of net gain. Whether transitioning from deforestation to reforestation can lead to improved ecosystem services, depends on the quality and characteristics of the newly established forest cover. Using publicly available data, we examine forest transition in two regions of tropical China: Hainan Island and Xishuangbanna. We found that the overall increase of forest cover in both areas during the1980 s was due to an increase in plantation forests rather than to increases in the area covered by natural forest. We also found a time lag between the increase in overall forest cover and an increase in natural forest. On Hainan Island, natural forest continued to decline beyond the point in time when overall forest cover had started to increase, and only began to recover ten years after the turning point in 1978. In Xishuangbanna, where the transition point occurred ten years later, the decline of natural forest cover is still going on. These divergent trends underlying forest transition are concealed by the continued practice to apply the term "forest" broadly, without distinguishing between natural forests and planted *** to the use of undiscriminating terminology, the loss of natural forest may go unnoticed, increasing the risk of plantation forests displacing natural forests in the course of forest transition. Our findings are important for programs related to forest management and ecosystem services improvement, including reforestation and Payments for Ecosystem Services programs.

关键词： Deforestation Forest transition Rubber plantation Time lag Tropical China

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Spatiotemporal characteristics and influencing factors of ecosystem services in central asia

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Journal of Arid Land 2023年第1期15卷 1-19页

作者： YAN Xue LI Lanhai State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Ili Station for Watershed Ecosystem research Chinese Academy of SciencesXinyuan 835800China cas research centre for ecology and environment of central asia Urumqi 830011China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

Land use/land cover(LULC)change and climate change are two major factors affecting the provision of ecosystem services which are closely related to human ***,a clear understanding of the relationships between these two factors and ecosystem services in central asia is still *** study aimed to comprehensively assess ecosystem services in central asia and analyze how they are impacted by changes in LULC and *** spatiotemporal patterns of three ecosystem services during the period of 2000-2015,namely the net primary productivity(NPP),water yield,and soil retention,were quantified and mapped by the Carnegie-Ames-Stanford Approach(casA)model,Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model,and Revised Universal Soil Loss Equation(RUSLE).Scenarios were used to determine the relative importance and combined effect of LULC change and climate change on ecosystem ***,the relationships between climate factors(precipitation and temperature)and ecosystem services,as well as between LULC change and ecosystem services,were further *** results showed that the high values of ecosystem services appeared in the southeast of central *** the six biomes(alpine forest region(AFR),alpine meadow region(AMR),typical steppe region(TSR),desert steppe region(DSR),desert region(DR),and lake region(LR)),the values of ecosystem services followed the order of AFR>AMR>TSR>DSR>DR>*** addition,the values of ecosystem services fluctuated during the period of 2000-2015,with the most significant decreases observed in the southeast mountainous area and northwest of central *** change had a greater impact on the NPP,while climate change had a stronger influence on the water yield and soil *** combined LULC change and climate change exhibited a significant synergistic effect on ecosystem services in most of central ***,ecosystem services were more strongly and positively correlated with precipitation

关键词： ecosystem services land use/land cover change climate change net primary productivity water yield soil retention central asia

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Influences of environmental changes on water storage variations in central asia

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Journal of Geographical Sciences 2018年第7期28卷 985-1000页

作者：胡伟杰刘海隆包安明 Attia M.EL-TANTAWI State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and Geography CAS cas research Center for ecology and environment of central asia School of Resources and environment University of Electronic Science and Technology of China Institute of African research and Studies Cairo University

The spatio-temporal pattern of the global water resource has significantly changed with climate change and intensified human activities. The regional economy and ecological environment are highly affected by terrestrial water storage(TWS), especially in arid areas. To investigate the response relationships between TWS and changing environments(climate change and human activities) in central asia, we used the Gravity Recovery and Climate Experiment(GRACE) data, Climatic research Unit(CRU) climate data and Moderate Resolution Imaging Spectroradiometer(MODIS) remote sensing data products(MOD16A2, MOD13A3 and MCD12Q1) from 2003 to 2013, as well as the slope and Pearson correlation analysis methods. Results indicate that:(1) TWS in about 77% of the study area decreased from 2003 to 2013. The total change volume of TWS is about 2915.6 × 108 m^3. The areas of decreased TWS are mainly distributed in the middle of central asia, while the areas of increased TWS are concentrated in the middle-altitude regions of the Kazakhstan hills and Tarim Basin.(2) TWS in about 5.91% of areas, mainly distributed in the mountain and piedmont zones, is significantly positively correlated with precipitation, while only 3.78% of areas show significant correlation between TWS and temperature. If the response time was delayed by three months, there would be a very good correlation between temperature and TWS.(3) There is a significantly positive relationship between TWS and Normalized Difference Vegetation Index(NDVI) in 13.35% of the study area.(4) The area of significantly positive correlation between TWS and evapotranspiration is about 31.87%, mainly situated in mountainous areas and northwestern Kazakhstan. The reduction of regional TWS is related to precipitation more than evaporation. Increasing farmland area may explain why some areas show increasing precipitation and decreasing evapotranspiration.(5) The influences of land use on TWS are still not very clear. This study could provide sci

关键词： terrestrial water storage central asia climate change land use

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Impact of forcing data and land surface properties on snow simulation in a regional climate model:a case study over the Tianshan Mountains,central asia

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Journal of Mountain Science 2021年第12期18卷 3147-3164页

作者： LI Qian YANG Tao LI Lan-hai State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Ili Station for Watershed Ecosystem research Chinese Academy of SciencesXinyuan 835800China Key Laboratory for Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China cas research centre for ecology and environment of central asia Urumqi 830011China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China

Snow is a key variable that influences hydrological and climatic *** surface models employing snow physics-modules can simulate the snow accumulation and ablation ***,there are still uncertainties in modeling snow resources over complex terrain such as *** study employed the National Center for Atmospheric research’s Weather research and Forecasting(WRF)model coupled with the Noah-Multiparameterization(Noah-MP)land surface model to run one-year simulations to assess its ability to simulate snow across the Tianshan *** tests were conducted based on different reanalysis forcing datasets and different land surface *** results indicated that the snow dynamics were reproduced in a snow hydrological year by the WRF/Noah-MP model for all of the *** model produced a low bias in snow depth and snow water equivalent(SWE)regardless of the forcing ***,the underestimation of snow depth and SWE could be relatively alleviated by modifying the land cover and vegetation ***,no significant improvement in accuracy was found in the date of snow depth maximum and melt *** best performance was achieved using ERA5 with modified land cover and vegetation parameters(mean bias=−4.03 mm and−1.441 mm for snow depth and SWE,respectively).This study highlights the importance of selecting forcing data for snow simulation over the Tianshan Mountains.

关键词： WRF/Noah-MP model Initial and lateral boundary conditions Land surface properties Snow depth Snow water equivalent

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Challenges for the sustainable use of water and land resources under a changing climate and increasing salinization in the Jizzakh irrigation zone of Uzbekistan

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Journal of Arid Land 2020年第1期12卷 90-103页

作者： Rashid KULMATOV Jasur MIRZAEV Jilili ABUDUWAILI Bakhtiyor KARIMOV State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China National University of Uzbekistan Tashkent 100170Uzbekistan cas research Center for ecology and environment of central asia Urumqi 830011China University of Chinese Academy of Sciences Beijing 100049China Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Tashkent 100000Uzbekistan

Jizzakh Province in Uzbekistan is one of the largest irrigated areas in central asia without natural *** combination with aridity,climate change and extensive irrigation practices,this has led to the widespread salinization of agricultural *** aim of this study was to identify opportunities to improve the reclamation status of the irrigated area and how best to effectively use the water resources in Jizzakh Province based on investigations conducted between 1995 and 2016.A database of field measurements of groundwater levels,mineralization and soil salinity conducted by the provincial Hydro-Geological Reclamation Expeditions was used in the *** total groundwater mineralization was determined using a portable electric conductometer(Progress 1T)and the chloride concentration was determined using the Mohr *** soil salinity analyses were conducted by applying two different methods:(1)the extraction and assessment of the soluble salt content,and(2)using an SM-138 conductivity sensor applied to a 1:1 mixture of soil sample and *** analyses of the monitoring results and the salt balance in the"irrigation water–soil–drainage water"system clearly demonstrated that the condition of the irrigated land in the province was not significantly *** these conditions,the stability of crop yields is achieved mainly through the use of large volumes of ***,excess amounts of mineral fertilizers can also cause the salinization of *** average groundwater salinization value in most of the irrigated land(75.3%)fluctuated between 1.1 and 5.0 g/L,while the values were less than 1.0 g/L in 13.1%of the land and in the range of 5.1–10.0 g/L in 10.5%of the *** the period of 1995–2016 the salinization level of the irrigated land in Jizzakh Province increased slightly and the area could be divided into the following classes:no salinity(17.7%of the total area),low salinity(51.3%),moderate salinity(29.0%),and high salinity(2.0%).De

关键词： irrigation groundwater level salinity soil salinization salt balance Uzbekistan

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Snowpack variations and their hazardous effects under climate warming in the central Tianshan Mountains

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Advances in Climate Change research 2024年第3期15卷 442-451页

作者： Jian-Sheng HAO Yan WANG Lan-Hai LI Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences(CAS)Beijing 100101China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Tianshan Snowcover and Avalanche Observation and research Station of Xinjiang Xinyuan 835800China cas research Center for ecology and environment of central asia Urumqi 830011China

Climate change alters snowpack evolution,which in turn influences the likelihood of snow avalanches and flood *** lack of systemic observational data on key snow characteristics in high mountains remains a scientific challenge in terms of systematically elucidating the dynamic chain of variations in climate-snowpack-snow *** restricts our understanding and poses challenges in the prediction of snow-related disaster *** such,this study analysed the variations of temperature and snowfall and the physical characteristics of snowpacks based on ground-based observations from the Kunse River Valley situated in the Tianshan Mountains from 1967 to *** results reveal that the temperature increased significantly by 0.32°C per decade(p<0.01)during the snow season,along with more extreme snowfall *** snow-cover duration was observed to have been shortened by 4.77 d per decade(p<0.01)from 1967 to 2021,which is characterised by later snow-cover onset and earlier ***,average and maximum snow depths increased along with an increase in peak snow water equivalent,thus indicating a higher frequency of extremely scarce or abundant snow *** low snowpack temperature gradient and earlier snowmelt dates in spring lead to earlier occurrences of snowmelt floods and wet *** the risks of these events increase,they pose greater threats to farmlands,road transportation,water-electricity infrastructure and several other human ***,these insights are critical for providing vital information that can deepen our understanding of the impact of climate change on snowpack characteristics and improve management strategies for snow-related disaster prevention and mitigation.

关键词： Climate change Snowpack variations Snow-related disaster Tianshan Mountains

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Projection of hydrothermal condition in central asia under four SSP-RCP scenarios

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Journal of Arid Land 2022年第5期14卷 521-536页

作者： YAO Linlin ZHOU Hongfei YAN Yingjie LI Lanhai SU Yuan State Key Laboratory of Desert and Oasis ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Fukang National Field Scientific Observation and research Station for Desert Ecosystems Chinese Academy of SciencesFukang 831505China University of Chinese Academy of Sciences Beijing 100049China Ili Station for Watershed Ecosystem research Chinese Academy of SciencesXinyuan 835800China cas research Center for ecology and environment of central asia Urumqi 830011China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China

Hydrothermal condition is mismatched in arid and semi-arid regions,particularly in central asia(including Kazakhstan,Kyrgyzstan,Tajikistan,Uzbekistan,and Turkmenistan),resulting many environmental *** this study,we projected hydrothermal condition in central asia based on bias-corrected multi-model ensembles(MMEs)from the Coupled Model Intercomparison Project Phase 6(CMIP6)under four Shared Socioeconomic Pathway and Representative Concentration Pathway(SSP-RCP)scenarios(SSP126(SSP1-RCP2.6),SSP245(SSP2-RCP4.5),SSP460(SSP4-RCP6.0),and SSP585(SSP5-RCP8.5))during *** bias correction and spatial disaggregation,water-thermal product index,and sensitivity analysis were used in this *** results showed that the hydrothermal condition is mismatched in the central and southern deserts,whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal *** with the historical period,the matched degree of hydrothermal condition improves during 2046-2075,but degenerates during 2015-2044 and *** change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern *** result suggests that the optimal scenario in central asia is SSP126 scenario,while SSP585 scenario brings further hydrothermal *** study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change.

关键词： hydrothermal condition water-thermal product index bias correction and spatial disaggregation SSP-RCP scenarios central asia

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