The Aral Sea was the fourth largest lake in the world but it has shrunk dramatically as a result of irrational human activities, triggering the "Aral Sea ecological crisis". The ecological problems of the Ar...The Aral Sea was the fourth largest lake in the world but it has shrunk dramatically as a result of irrational human activities, triggering the "Aral Sea ecological crisis". The ecological problems of the Aral Sea have attracted widespread attention, and the alleviation of the Aral Sea ecological crisis has reached a consensus among the five Central Asian countries(Kazakhstan, Uzbekistan, Tajikistan, Kyrgyzstan, and Turkmenistan). In the past decades, many ecological management measures have been implemented for the ecological restoration of the Aral Sea. However, due to the lack of regional planning and zoning, the results are not ideal. In this study, we mapped the ecological zoning of the Aral Sea from the perspective of ecological restoration based on soil type, soil salinity, surface water, groundwater table, Normalized Difference Vegetation Index(NDVI), land cover, and aerosol optical depth(AOD) data. Soil salinization and salt dust are the most prominent ecological problems in the Aral Sea. We divided the Aral Sea into 7 first-level ecological restoration subregions(North Aral Sea catchment area in the downstream of the Syr Darya River(Subregion Ⅰ);artificial flood overflow area in the downstream of the Aral Sea(Subregion Ⅱ);physical/chemical remediation area of the salt dust source area in the eastern part of the South Aral Sea(Subregion Ⅲ);physical/chemical remediation area of severe salinization in the central part of the South Aral Sea(Subregion Ⅳ);existing water surface and potential restoration area of the South Aral Sea(Subregion Ⅴ);Aral Sea vegetation natural recovery area(Subregion Ⅵ);and vegetation planting area with slight salinization in the South Aral Sea(Subregion Ⅶ)) and 14 second-level ecological restoration subregions according to the ecological zoning principles. Implementable measures are proposed for each ecological restoration subregion. For Subregion Ⅰ and Subregion Ⅱ with lower elevations, artificial flooding should be carried out to restore the surface of the Aral Sea. Subregion Ⅲ and Subregion Ⅳ have severe salinization, making it difficult for vegetation to grow. In these subregions, it is recommended to cover and pave the areas with green biomatrix coverings and environmentally sustainable bonding materials. In Subregion Ⅴ located in the central and western parts of the South Aral Sea, surface water recharge should be increased to ensure that this subregion can maintain normal water levels. In Subregion Ⅵ and Subregion Ⅶ where natural conditions are suitable for vegetation growth, measures such as afforestation and buffer zones should be implemented to protect vegetation. This study could provide a reference basis for future comprehensive ecological management and restoration of the Aral Sea.展开更多
As the largest inland river basin of China,the Tarim River Basin(TRB),known for its various natural resources and fragile environment,has an increased risk of ecological crisis due to the intensive exploitation and ut...As the largest inland river basin of China,the Tarim River Basin(TRB),known for its various natural resources and fragile environment,has an increased risk of ecological crisis due to the intensive exploitation and utilization of water and land resources.Since the Ecological Water Diversion Project(EWDP),which was implemented in 2001 to save endangered desert vegetation,there has been growing evidence of ecological improvement in local regions,but few studies have performed a comprehensive ecological vulnerability assessment of the whole TRB.This study established an evaluation framework integrating the analytic hierarchy process(AHP)and entropy method to estimate the ecological vulnerability of the TRB covering climatic,ecological,and socioeconomic indicators during 2000-2017.Based on the geographical detector model,the importance of ten driving factors on the spatial-temporal variations of ecological vulnerability was explored.The results showed that the ecosystem of the TRB was fragile,with more than half of the area(57.27%)dominated by very heavy and heavy grades of ecological vulnerability,and 28.40%of the area had potential and light grades of ecological vulnerability.The light grade of ecological vulnerability was distributed in the northern regions(Aksu River and Weigan River catchments)and western regions(Kashgar River and Yarkant River catchments),while the heavy grade was located in the southern regions(Kunlun Mountains and Qarqan River catchments)and the Mainstream catchment.The ecosystems in the western and northern regions were less vulnerable than those in the southern and eastern regions.From 2000 to 2017,the overall improvement in ecological vulnerability in the whole TRB showed that the areas with great ecological improvement increased by 46.11%,while the areas with ecological degradation decreased by 9.64%.The vegetation cover and potential evapotranspiration(PET)were the obvious driving factors,explaining 57.56% and 21.55%of the changes in ecological vulnerability across the TRB,respectively.In terms of ecological vulnerability grade changes,obvious spatial differences were observed in the upper,middle,and lower reaches of the TRB due to the different vegetation and hydrothermal conditions.The alpine source region of the TRB showed obvious ecological improvement due to increased precipitation and temperature,but the alpine meadow of the Kaidu River catchment in the Middle Tianshan Mountains experienced degradation associated with overgrazing and local drought.The improved agricultural management technologies had positive effects on farmland ecological improvement,while the desert vegetation in oasis-desert ecotones showed a decreasing trend as a result of cropland reclamation and intensive drought.The desert riparian vegetation in the lower reaches of the Tarim River was greatly improved due to the implementation of the EWDP,which has been active for tens of years.These results provide comprehensive knowledge about ecological processes and mechanisms in the whole TRB and help to develop environmental restoration measures based on different ecological vulnerability grades in each sub-catchment.展开更多
High water consumption and inefficient irrigation management in the agriculture sector of the middle and lower reaches of the Amu Darya River Basin(ADRB)have significantly influenced the gradual shrinking of the Aral ...High water consumption and inefficient irrigation management in the agriculture sector of the middle and lower reaches of the Amu Darya River Basin(ADRB)have significantly influenced the gradual shrinking of the Aral Sea and its ecosystem.In this study,we investigated the crop water consumption in the growing seasons and the irrigation water requirement for different crop types in the lower ADRB during 2004–2017.We applied the FAO Penman–Monteith method to estimate reference evapotranspiration(ET0)based on daily climatic data collected from four meteorological stations.Crop evapotranspiration(ETc)of specific crop types was calculated by the crop coefficient.Then,we analyzed the net irrigation requirement(NIR)based on the effective precipitation with crop water requirements.The results indicated that the lowest monthly ET0 values in the lower ADRB were found in December(18.2 mm)and January(16.0 mm),and the highest monthly ET0 values were found in June and July,with similar values of 211.6 mm.The annual ETc reached to 887.2,1002.1,and 492.0 mm for cotton,rice,and wheat,respectively.The average regional NIR ranged from 514.9 to 715.0 mm in the 10 Irrigation System Management Organizations(UISs)in the study area,while the total required irrigation volume for the whole region ranged from 4.2×109 to 11.6×109 m3 during 2004–2017.The percentages of NIR in SIW(surface irrigation water)ranged from 46.4%to 65.2%during the study period,with the exceptions of the drought years of 2008 and 2011,in which there was a significantly less runoff in the Amu Darya River.This study provides an overview for local water authorities to achieve optimal regional water allocation in the study area.展开更多
The Ili River Delta(IRD)is an ecological security barrier for the Lake Balkhash and an important water conservation area in Central Asia.In this study,we selected the IRD as a typical research area,and simulated the w...The Ili River Delta(IRD)is an ecological security barrier for the Lake Balkhash and an important water conservation area in Central Asia.In this study,we selected the IRD as a typical research area,and simulated the water yield and water conservation from 1975 to 2020 using the water yield module of the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.We further analyzed the temporal and spatial variations in the water yield and water conservation in the IRD from 1975 to 2020,and investigated the main driving factors(precipitation,potential evapotranspiration,land use/land cover change,and inflow from the Ili River)of the water conservation variation based on the linear regression,piecewise linear regression,and Pearson's correlation coefficient analyses.The results indicated that from 1975 to 2020,the water yield and water conservation in the IRD showed a decreasing trend,and the spatial distribution pattern was"high in the east and low in the west";overall,the water conservation of all land use types decreased slightly.The water conservation volume of grassland was the most reduced,although the area of grassland increased owing to the increased inflow from the Ili River.At the same time,the increased inflow has led to the expansion of wetland areas,the improvement of vegetation growth,and the increase of regional evapotranspiration,thus resulting in an overall reduction in the water conservation.The water conservation depth and precipitation had similar spatial distribution patterns;the change in climate factors was the main reason for the decline in the water conservation function in the delta.The reservoir in the upper reaches of the IRD regulated runoff into the Lake Balkhash,promoted vegetation restoration,and had a positive effect on the water conservation;however,this positive effect cannot offset the negative effect of enhanced evapotranspiration.These results provide a reference for the rational allocation of water resources and ecosystem protection in the IRD.展开更多
Snow cover plays a critical role in global climate regulation and hydrological processes.Accurate monitoring is essential for understanding snow distribution patterns,managing water resources,and assessing the impacts...Snow cover plays a critical role in global climate regulation and hydrological processes.Accurate monitoring is essential for understanding snow distribution patterns,managing water resources,and assessing the impacts of climate change.Remote sensing has become a vital tool for snow monitoring,with the widely used Moderate-resolution Imaging Spectroradiometer(MODIS)snow products from the Terra and Aqua satellites.However,cloud cover often interferes with snow detection,making cloud removal techniques crucial for reliable snow product generation.This study evaluated the accuracy of four MODIS snow cover datasets generated through different cloud removal algorithms.Using real-time field camera observations from four stations in the Tianshan Mountains,China,this study assessed the performance of these datasets during three distinct snow periods:the snow accumulation period(September-November),snowmelt period(March-June),and stable snow period(December-February in the following year).The findings showed that cloud-free snow products generated using the Hidden Markov Random Field(HMRF)algorithm consistently outperformed the others,particularly under cloud cover,while cloud-free snow products using near-day synthesis and the spatiotemporal adaptive fusion method with error correction(STAR)demonstrated varying performance depending on terrain complexity and cloud conditions.This study highlighted the importance of considering terrain features,land cover types,and snow dynamics when selecting cloud removal methods,particularly in areas with rapid snow accumulation and melting.The results suggested that future research should focus on improving cloud removal algorithms through the integration of machine learning,multi-source data fusion,and advanced remote sensing technologies.By expanding validation efforts and refining cloud removal strategies,more accurate and reliable snow products can be developed,contributing to enhanced snow monitoring and better management of water resources in alpine and arid areas.展开更多
Central Asia features an arid and semi-arid climate,and the region is undergoing urbanization in the context of a fragile eco-environment.The influence of specific historical events in this region also persists on thi...Central Asia features an arid and semi-arid climate,and the region is undergoing urbanization in the context of a fragile eco-environment.The influence of specific historical events in this region also persists on this ongoing urbanization.This study examines the mechanism of interaction between urbanization and the resource environment in Central Asia.The following results were obtained.(1)In different periods-Russian colonization,the era of the Soviet Union,and Central Asian countries as independent-the interactions between urbanization and the resource environment varied.(2)Variations in land use within 50 km of major cities of the region reflect both the trend of urbanization and that of variations in the eco-environment.In Kyrgyzstan and Tajikistan,where urbanization has been slow,the supportive effect of the eco-environment for urbanization was clear.In Uzbekistan and Turkmenistan,where freshwater resources are scarce,a close relationship was noted between urbanization and variations in the eco-environment.In Kazakhstan,fast urbanization has had a significant impact on the availability of water,grassland,and woodland in the relevant areas.(3)The efficiency of utilization of land and water resources is generally low.The compactness of the urban land of 47 major cities in Central Asia decreased from 0.44 in 1990 to 0.31 in 2015.Of them,31 cities decreased in compactness,including all national capitals.Regardless of the level of urbanization,water consumption was high across the region.(4)The mechanisms of interaction between urbanization and the resource environment in Central Asia in the three stages were formulated to illustrate their specific temporal conductivity and spatial relevance.展开更多
基金supported by the Key R&D Program of Xinjiang Uygur Autonomous Region,China(2022B03021)the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20030101)the Tianshan Talent Training Program of Xinjiang Uygur Autonomous Region,China(2022TSYCLJ0011).
文摘The Aral Sea was the fourth largest lake in the world but it has shrunk dramatically as a result of irrational human activities, triggering the "Aral Sea ecological crisis". The ecological problems of the Aral Sea have attracted widespread attention, and the alleviation of the Aral Sea ecological crisis has reached a consensus among the five Central Asian countries(Kazakhstan, Uzbekistan, Tajikistan, Kyrgyzstan, and Turkmenistan). In the past decades, many ecological management measures have been implemented for the ecological restoration of the Aral Sea. However, due to the lack of regional planning and zoning, the results are not ideal. In this study, we mapped the ecological zoning of the Aral Sea from the perspective of ecological restoration based on soil type, soil salinity, surface water, groundwater table, Normalized Difference Vegetation Index(NDVI), land cover, and aerosol optical depth(AOD) data. Soil salinization and salt dust are the most prominent ecological problems in the Aral Sea. We divided the Aral Sea into 7 first-level ecological restoration subregions(North Aral Sea catchment area in the downstream of the Syr Darya River(Subregion Ⅰ);artificial flood overflow area in the downstream of the Aral Sea(Subregion Ⅱ);physical/chemical remediation area of the salt dust source area in the eastern part of the South Aral Sea(Subregion Ⅲ);physical/chemical remediation area of severe salinization in the central part of the South Aral Sea(Subregion Ⅳ);existing water surface and potential restoration area of the South Aral Sea(Subregion Ⅴ);Aral Sea vegetation natural recovery area(Subregion Ⅵ);and vegetation planting area with slight salinization in the South Aral Sea(Subregion Ⅶ)) and 14 second-level ecological restoration subregions according to the ecological zoning principles. Implementable measures are proposed for each ecological restoration subregion. For Subregion Ⅰ and Subregion Ⅱ with lower elevations, artificial flooding should be carried out to restore the surface of the Aral Sea. Subregion Ⅲ and Subregion Ⅳ have severe salinization, making it difficult for vegetation to grow. In these subregions, it is recommended to cover and pave the areas with green biomatrix coverings and environmentally sustainable bonding materials. In Subregion Ⅴ located in the central and western parts of the South Aral Sea, surface water recharge should be increased to ensure that this subregion can maintain normal water levels. In Subregion Ⅵ and Subregion Ⅶ where natural conditions are suitable for vegetation growth, measures such as afforestation and buffer zones should be implemented to protect vegetation. This study could provide a reference basis for future comprehensive ecological management and restoration of the Aral Sea.
基金This research was supported by the National Key Research and Development Plan of China(2017YFB0504204)the CAS Interdisciplinary Innovation Team(JCTD-2019-20)+1 种基金the Tianshan Innovation Team(2020D14016)the National Natural Science Foundation of China(U2003201).
文摘As the largest inland river basin of China,the Tarim River Basin(TRB),known for its various natural resources and fragile environment,has an increased risk of ecological crisis due to the intensive exploitation and utilization of water and land resources.Since the Ecological Water Diversion Project(EWDP),which was implemented in 2001 to save endangered desert vegetation,there has been growing evidence of ecological improvement in local regions,but few studies have performed a comprehensive ecological vulnerability assessment of the whole TRB.This study established an evaluation framework integrating the analytic hierarchy process(AHP)and entropy method to estimate the ecological vulnerability of the TRB covering climatic,ecological,and socioeconomic indicators during 2000-2017.Based on the geographical detector model,the importance of ten driving factors on the spatial-temporal variations of ecological vulnerability was explored.The results showed that the ecosystem of the TRB was fragile,with more than half of the area(57.27%)dominated by very heavy and heavy grades of ecological vulnerability,and 28.40%of the area had potential and light grades of ecological vulnerability.The light grade of ecological vulnerability was distributed in the northern regions(Aksu River and Weigan River catchments)and western regions(Kashgar River and Yarkant River catchments),while the heavy grade was located in the southern regions(Kunlun Mountains and Qarqan River catchments)and the Mainstream catchment.The ecosystems in the western and northern regions were less vulnerable than those in the southern and eastern regions.From 2000 to 2017,the overall improvement in ecological vulnerability in the whole TRB showed that the areas with great ecological improvement increased by 46.11%,while the areas with ecological degradation decreased by 9.64%.The vegetation cover and potential evapotranspiration(PET)were the obvious driving factors,explaining 57.56% and 21.55%of the changes in ecological vulnerability across the TRB,respectively.In terms of ecological vulnerability grade changes,obvious spatial differences were observed in the upper,middle,and lower reaches of the TRB due to the different vegetation and hydrothermal conditions.The alpine source region of the TRB showed obvious ecological improvement due to increased precipitation and temperature,but the alpine meadow of the Kaidu River catchment in the Middle Tianshan Mountains experienced degradation associated with overgrazing and local drought.The improved agricultural management technologies had positive effects on farmland ecological improvement,while the desert vegetation in oasis-desert ecotones showed a decreasing trend as a result of cropland reclamation and intensive drought.The desert riparian vegetation in the lower reaches of the Tarim River was greatly improved due to the implementation of the EWDP,which has been active for tens of years.These results provide comprehensive knowledge about ecological processes and mechanisms in the whole TRB and help to develop environmental restoration measures based on different ecological vulnerability grades in each sub-catchment.
基金This study was supported by the International Cooperation Project of National Natural Science Foundation of China(41761144079)the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20060301)+2 种基金the State's Key Project of Research and Development Plan(2017YFC0404501),the International Partnership Program of Chinese Academy of Sciences(131551KYSB20160002)the project of the Research Center of Ecology and Environment in Central Asia(Y934031)a grant from the Regional Collaborative Innovation Project of Xinjiang Uygur Autonomous Region(2020E01010).
文摘High water consumption and inefficient irrigation management in the agriculture sector of the middle and lower reaches of the Amu Darya River Basin(ADRB)have significantly influenced the gradual shrinking of the Aral Sea and its ecosystem.In this study,we investigated the crop water consumption in the growing seasons and the irrigation water requirement for different crop types in the lower ADRB during 2004–2017.We applied the FAO Penman–Monteith method to estimate reference evapotranspiration(ET0)based on daily climatic data collected from four meteorological stations.Crop evapotranspiration(ETc)of specific crop types was calculated by the crop coefficient.Then,we analyzed the net irrigation requirement(NIR)based on the effective precipitation with crop water requirements.The results indicated that the lowest monthly ET0 values in the lower ADRB were found in December(18.2 mm)and January(16.0 mm),and the highest monthly ET0 values were found in June and July,with similar values of 211.6 mm.The annual ETc reached to 887.2,1002.1,and 492.0 mm for cotton,rice,and wheat,respectively.The average regional NIR ranged from 514.9 to 715.0 mm in the 10 Irrigation System Management Organizations(UISs)in the study area,while the total required irrigation volume for the whole region ranged from 4.2×109 to 11.6×109 m3 during 2004–2017.The percentages of NIR in SIW(surface irrigation water)ranged from 46.4%to 65.2%during the study period,with the exceptions of the drought years of 2008 and 2011,in which there was a significantly less runoff in the Amu Darya River.This study provides an overview for local water authorities to achieve optimal regional water allocation in the study area.
基金funded by the National Natural Science Foundation of China(42071245)the Xinjiang Uygur Autonomous Region Innovation Environment Construction Special Project&Science and Technology Innovation Base Construction Project(PT2107)+2 种基金the Third Xinjiang Comprehensive Scientific Survey Project Sub-topic(2021xjkk140305)the Tianshan Talent Training Program of Xinjiang Uygur Autonomous Region(2022TSYCLJ0011)the K.C.Wong Education Foundation(GJTD-2020-14).
文摘The Ili River Delta(IRD)is an ecological security barrier for the Lake Balkhash and an important water conservation area in Central Asia.In this study,we selected the IRD as a typical research area,and simulated the water yield and water conservation from 1975 to 2020 using the water yield module of the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.We further analyzed the temporal and spatial variations in the water yield and water conservation in the IRD from 1975 to 2020,and investigated the main driving factors(precipitation,potential evapotranspiration,land use/land cover change,and inflow from the Ili River)of the water conservation variation based on the linear regression,piecewise linear regression,and Pearson's correlation coefficient analyses.The results indicated that from 1975 to 2020,the water yield and water conservation in the IRD showed a decreasing trend,and the spatial distribution pattern was"high in the east and low in the west";overall,the water conservation of all land use types decreased slightly.The water conservation volume of grassland was the most reduced,although the area of grassland increased owing to the increased inflow from the Ili River.At the same time,the increased inflow has led to the expansion of wetland areas,the improvement of vegetation growth,and the increase of regional evapotranspiration,thus resulting in an overall reduction in the water conservation.The water conservation depth and precipitation had similar spatial distribution patterns;the change in climate factors was the main reason for the decline in the water conservation function in the delta.The reservoir in the upper reaches of the IRD regulated runoff into the Lake Balkhash,promoted vegetation restoration,and had a positive effect on the water conservation;however,this positive effect cannot offset the negative effect of enhanced evapotranspiration.These results provide a reference for the rational allocation of water resources and ecosystem protection in the IRD.
基金funded by the Third Xinjiang Scientific Expedition Program(2021xjkk1400)the National Natural Science Foundation of China(42071049)+2 种基金the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2019D01C022)the Xinjiang Uygur Autonomous Region Innovation Environment Construction Special Project&Science and Technology Innovation Base Construction Project(PT2107)the Tianshan Talent-Science and Technology Innovation Team(2022TSYCTD0006).
文摘Snow cover plays a critical role in global climate regulation and hydrological processes.Accurate monitoring is essential for understanding snow distribution patterns,managing water resources,and assessing the impacts of climate change.Remote sensing has become a vital tool for snow monitoring,with the widely used Moderate-resolution Imaging Spectroradiometer(MODIS)snow products from the Terra and Aqua satellites.However,cloud cover often interferes with snow detection,making cloud removal techniques crucial for reliable snow product generation.This study evaluated the accuracy of four MODIS snow cover datasets generated through different cloud removal algorithms.Using real-time field camera observations from four stations in the Tianshan Mountains,China,this study assessed the performance of these datasets during three distinct snow periods:the snow accumulation period(September-November),snowmelt period(March-June),and stable snow period(December-February in the following year).The findings showed that cloud-free snow products generated using the Hidden Markov Random Field(HMRF)algorithm consistently outperformed the others,particularly under cloud cover,while cloud-free snow products using near-day synthesis and the spatiotemporal adaptive fusion method with error correction(STAR)demonstrated varying performance depending on terrain complexity and cloud conditions.This study highlighted the importance of considering terrain features,land cover types,and snow dynamics when selecting cloud removal methods,particularly in areas with rapid snow accumulation and melting.The results suggested that future research should focus on improving cloud removal algorithms through the integration of machine learning,multi-source data fusion,and advanced remote sensing technologies.By expanding validation efforts and refining cloud removal strategies,more accurate and reliable snow products can be developed,contributing to enhanced snow monitoring and better management of water resources in alpine and arid areas.
基金The Strategic Priority Research Program of Chinese Academy of Sciences,No.XDA20040402,No.XDA20030101。
文摘Central Asia features an arid and semi-arid climate,and the region is undergoing urbanization in the context of a fragile eco-environment.The influence of specific historical events in this region also persists on this ongoing urbanization.This study examines the mechanism of interaction between urbanization and the resource environment in Central Asia.The following results were obtained.(1)In different periods-Russian colonization,the era of the Soviet Union,and Central Asian countries as independent-the interactions between urbanization and the resource environment varied.(2)Variations in land use within 50 km of major cities of the region reflect both the trend of urbanization and that of variations in the eco-environment.In Kyrgyzstan and Tajikistan,where urbanization has been slow,the supportive effect of the eco-environment for urbanization was clear.In Uzbekistan and Turkmenistan,where freshwater resources are scarce,a close relationship was noted between urbanization and variations in the eco-environment.In Kazakhstan,fast urbanization has had a significant impact on the availability of water,grassland,and woodland in the relevant areas.(3)The efficiency of utilization of land and water resources is generally low.The compactness of the urban land of 47 major cities in Central Asia decreased from 0.44 in 1990 to 0.31 in 2015.Of them,31 cities decreased in compactness,including all national capitals.Regardless of the level of urbanization,water consumption was high across the region.(4)The mechanisms of interaction between urbanization and the resource environment in Central Asia in the three stages were formulated to illustrate their specific temporal conductivity and spatial relevance.
