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Dr. Ya-ning Chen
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

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0 Ecohydrology
0 water resource
0 surface process
0 arid region

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Journal article
Published: 10 August 2021 in Forests
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As an essential part of terrestrial ecosystems, convenient and accurate reconstruction of the past carbon sequestration capacity of forests is critical to assess future trends of aboveground carbon storage and ecosystem carbon cycles. In addition, the relationship between climate change and carbon sequestration of forests has been vigorously debated. In this study, dynamic change of carbon sequestration capacity in aboveground biomass of Picea schrenkiana (hereinafter abbreviated as P. schrenkiana) in the Tianshan Mountains, northwestern China, from 1850–2017, were reconstructed using dendrochronology. The main climate drivers that affected carbon sequestration capacity in aboveground biomass of P. schrenkiana were then investigated. The results showed that: (1) tree-ring width and diameter at breast height (DBH) of P. schrenkiana obtained from different altitudes and ages were an effective and convenient estimation index for reconstructing the carbon sequestration capacity of P. schrenkiana. The carbon storage of P. schrenkiana forest in 2016 in the Tianshan Mountains was 50.08 Tg C calculated using tree-ring width and DBH, which was very close to the value determined by direct field investigation data. (2) The annual carbon sequestration potential capacity of P. schrenkiana exhibited an increasing trend from 1850–2017. Temperature, especially minimum temperature, constituted the key climatic driver resulting in increased carbon sequestration capacity. The contribution rates of temperature and minimum temperature to the change of P. schrenkiana carbon sequestration capacity was 75% and 44%, respectively. (3) The significant increase of winter temperature and minimum temperature led to warming in the Tianshan Mountains, resulting in a significant increase in carbon sequestration capacity of P. schrenkiana. The results indicate that, with the continuous increase of winter temperature and minimum temperature, carbon sequestration of P. schrenkiana in the Tianshan Mountains is predicted to increase markedly in the future. The findings of this study provide a useful basis to evaluate future aboveground carbon storage and carbon cycles in mountain systems possessed similar characteristics of the Tianshan Mountains.

ACS Style

Honghua Zhou; Yaning Chen; Chenggang Zhu; Yapeng Chen; Yuhai Yang; Weihong Li; Shifeng Chen. Warming Increases the Carbon Sequestration Capacity of Picea schrenkiana in the Tianshan Mountains, China. Forests 2021, 12, 1066 .

AMA Style

Honghua Zhou, Yaning Chen, Chenggang Zhu, Yapeng Chen, Yuhai Yang, Weihong Li, Shifeng Chen. Warming Increases the Carbon Sequestration Capacity of Picea schrenkiana in the Tianshan Mountains, China. Forests. 2021; 12 (8):1066.

Chicago/Turabian Style

Honghua Zhou; Yaning Chen; Chenggang Zhu; Yapeng Chen; Yuhai Yang; Weihong Li; Shifeng Chen. 2021. "Warming Increases the Carbon Sequestration Capacity of Picea schrenkiana in the Tianshan Mountains, China." Forests 12, no. 8: 1066.

Article
Published: 22 May 2021 in Journal of Arid Land
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The accurate simulation and prediction of runoff in alpine glaciated watersheds is of increasing importance for the comprehensive management and utilization of water resources. In this study, long short-term memory (LSTM), a state-of-the-art artificial neural network algorithm, is applied to simulate the daily discharge of two data-sparse glaciated watersheds in the Tianshan Mountains in Central Asia. Two other classic machine learning methods, namely extreme gradient boosting (XGBoost) and support vector regression (SVR), along with a distributed hydrological model (Soil and Water Assessment Tool (SWAT) and an extended SWAT model (SWAT_Glacier) are also employed for comparison. This paper aims to provide an efficient and reliable method for simulating discharge in glaciated alpine regions that have insufficient observed meteorological data. The two typical basins in this study are the main tributaries (the Kumaric and Toxkan rivers) of the Aksu River in the south Tianshan Mountains, which are dominated by snow and glacier meltwater and precipitation. Our comparative analysis indicates that simulations from the LSTM shows the best agreement with the observations. The performance metrics Nash-Sutcliffe efficiency coefficient (NS) and correlation coefficient (R2) of LSTM are higher than 0.90 in both the training and testing periods in the Kumaric River Basin, and NS and R2 are also higher than 0.70 in the Toxkan River Basin. Compared to classic machine learning algorithms, LSTM shows significant advantages over most evaluating indices. XGBoost also has high NS value in the training period, but is prone to overfitting the discharge. Compared with the widely used hydrological models, LSTM has advantages in predicting accuracy, despite having fewer data inputs. Moreover, LSTM only requires meteorological data rather than physical characteristics of underlying data. As an extension of SWAT, the SWAT_Glacier model shows good adaptability in discharge simulation, outperforming the original SWAT model, but at the cost of increasing the complexity of the model. Compared with the oftentimes complex semi-distributed physical hydrological models, the LSTM method not only eliminates the tedious calibration process of hydrological parameters, but also significantly reduces the calculation time and costs. Overall, LSTM shows immense promise in dealing with scarce meteorological data in glaciated catchments.

ACS Style

Huiping Ji; Yaning Chen; Gonghuan Fang; Zhi Li; Weili Duan; Qifei Zhang. Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds. Journal of Arid Land 2021, 1 -19.

AMA Style

Huiping Ji, Yaning Chen, Gonghuan Fang, Zhi Li, Weili Duan, Qifei Zhang. Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds. Journal of Arid Land. 2021; ():1-19.

Chicago/Turabian Style

Huiping Ji; Yaning Chen; Gonghuan Fang; Zhi Li; Weili Duan; Qifei Zhang. 2021. "Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds." Journal of Arid Land , no. : 1-19.

Journal article
Published: 14 May 2021 in Land
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Quantifying the relative contribution of climate change and anthropogenic activities to runoff alterations are essential for the sustainable management of water resources in Central Asian countries. In the Kofarnihon River Basin (KRB) in Central Asia, both changing climate conditions and anthropogenic activities are known to have caused changes to the hydrological cycle. Therefore, quantifying the net influence of anthropogenic contribution to the runoff changes is a challenge. This study applied the original and modified Mann–Kendall trend test, including the Sen’s slope test, Pettitt’s test, double cumulative curve, and elasticity methods. These methods were applied to determine the historical trends, magnitude changes and change points of the temperature, precipitation, potential evapotranspiration, and runoff from 1950 to 2016. In addition, the contributions of climate change and anthropogenic activities to runoff changes in the KRB were evaluated. The trend analysis showed a significant increasing trend in annual temperature and potential evapotranspiration, while the annual precipitation trend showed an insignificant decreasing trend during the 1950–2016 time period. The change point in runoff occurred in 1986 in the upstream region and 1991 in the downstream region. Further, the time series (1950–2016) is separated into the prior impacted period (1950–1986 and 1950–1991) and post impacted period (1987–2016 and 1992–2016) for the upstream and downstream regions, respectively. During the post impacted period, climate change and anthropogenic activities contributed to 87.96% and 12.04% in the upstream region and 7.53% and 92.47% in the downstream region of the KRB. The results showed that in runoff changes, the anthropogenic activities played a dominant role in the downstream (97.78%) and the climate change impacts played a dominant factor in the upstream region (87.96%). In the land-use type changes, the dominant role was played by construction land, which showed that the area from 248.63 km2 in 1990 increased to 685.45 km2 (175.69%) in 2015. These findings suggest that it is essential to adopt effective steps for the sustainable development of the ecological, hydrological, and social order in the KRB in Central Asia.

ACS Style

Nekruz Gulahmadov; Yaning Chen; Aminjon Gulakhmadov; Moldir Rakhimova; Manuchekhr Gulakhmadov. Quantifying the Relative Contribution of Climate Change and Anthropogenic Activities on Runoff Variations in the Central Part of Tajikistan in Central Asia. Land 2021, 10, 525 .

AMA Style

Nekruz Gulahmadov, Yaning Chen, Aminjon Gulakhmadov, Moldir Rakhimova, Manuchekhr Gulakhmadov. Quantifying the Relative Contribution of Climate Change and Anthropogenic Activities on Runoff Variations in the Central Part of Tajikistan in Central Asia. Land. 2021; 10 (5):525.

Chicago/Turabian Style

Nekruz Gulahmadov; Yaning Chen; Aminjon Gulakhmadov; Moldir Rakhimova; Manuchekhr Gulakhmadov. 2021. "Quantifying the Relative Contribution of Climate Change and Anthropogenic Activities on Runoff Variations in the Central Part of Tajikistan in Central Asia." Land 10, no. 5: 525.

Research article
Published: 04 April 2021 in Landscape Ecology
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Modifications to land surface thermal regime by climate change and land cover/land-use change may influence ecosystem structure and function in arid landscapes, but relevant studies are scarce. Large changes in the land surface thermal regime can disturb the hydro-ecological integrity of these landscapes. Thus, it is important to assess landscape change and ecological risk to promote arid landscape sustainability. This study predicted the landscape change and quantified the Bayanbulak ecological risk evolution through a susceptibility-hazard assessment system. CA–Markov model was used to simulate the landscape change, while ERA model that builds the susceptibility-hazard indices rapport was applied to evaluate the Bayanbulak wetland ecological risk using 30 m remotely sensed data. Findings unveiled that modifications in water, meadow, and marshes are predicted to decline at a rate of 39.3, 6.32, 23.98% in 2069 respectively. As wetland hazard, the LST average increased from 20 to 22 °C with a maximum value of 35.2 °C from 1994 to 2019. Likewise, wetland susceptibility mean value increased from 1.10 to 1.20, a growth rate of 9.09%. Though the decline in high-risk zones, moderate risk zones drastically augmented at the extent of 70.5% while low risk and no risk zones declined with a reduction rate of 18.9 and 95.8% respectively. Overall observations exhibited that Bayanbulak ecological risk is slightly evolving. Bayanbulak is a pool of ecosystem services. By highlighting its ecological risk evolution, we call upon the focus on factors driving LST increment and adopt climatic adaptation measures of aqua-terrestrial ecosystems for Bayanbulak management.

ACS Style

Patient Mindje Kayumba; Yaning Chen; Richard Mind’Je; Mapendo Mindje; Xiaoyang Li; Albert Poponi Maniraho; Adeline Umugwaneza; Solange Uwamahoro. Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China. Landscape Ecology 2021, 36, 1699 -1723.

AMA Style

Patient Mindje Kayumba, Yaning Chen, Richard Mind’Je, Mapendo Mindje, Xiaoyang Li, Albert Poponi Maniraho, Adeline Umugwaneza, Solange Uwamahoro. Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China. Landscape Ecology. 2021; 36 (6):1699-1723.

Chicago/Turabian Style

Patient Mindje Kayumba; Yaning Chen; Richard Mind’Je; Mapendo Mindje; Xiaoyang Li; Albert Poponi Maniraho; Adeline Umugwaneza; Solange Uwamahoro. 2021. "Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China." Landscape Ecology 36, no. 6: 1699-1723.

Journal article
Published: 17 March 2021 in Science of The Total Environment
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The transition to a healthier diet recommended by national dietary guidelines in China may not achieve sufficient environmental benefits. This study assesses China's potential of transforming into a sustainable diet and the trade-offs among reducing food-related environmental impacts, improving nutritional quality and respecting eating habits. We used multi-objective optimization to build optimized scenarios, with the lowest environmental footprint and greatest acceptability (i.e., with the minimum departure from the currently observed diet) as optimization goals, and adequate macro- and micronutrient intake levels as constraints. In doing so, we assessed the actual benefits and synergies of reducing carbon footprint (CF), water footprint (WF), and ecological footprint (EF) and improving health and respecting dietary acceptance under the corresponding scenarios. The results show that CF, WF and EF can be reduced by up to 19%, 15% and 30% respectively, while satisfying nutritional constraints and achieving the minimum deviation from the current food combination. The greatest synergistic benefits for CF, WF and EF are achieved when the minimum CF is the optimization goal; the maximum synergistic benefits for the environment, health and acceptability are achieved when the CF is reduced by 10%. Our findings identify the trade-offs and synergies dietary changes considering nutritional benefits, environmental sustainability and acceptability, and reveal the challenges and opportunities for achieving such synergies.

ACS Style

Jingjing Yin; Xinhuan Zhang; Wei Huang; Lingxuan Liu; Yufang Zhang; Degang Yang; Yun Hao; Yaning Chen. The potential benefits of dietary shift in China: Synergies among acceptability, health, and environmental sustainability. Science of The Total Environment 2021, 779, 146497 .

AMA Style

Jingjing Yin, Xinhuan Zhang, Wei Huang, Lingxuan Liu, Yufang Zhang, Degang Yang, Yun Hao, Yaning Chen. The potential benefits of dietary shift in China: Synergies among acceptability, health, and environmental sustainability. Science of The Total Environment. 2021; 779 ():146497.

Chicago/Turabian Style

Jingjing Yin; Xinhuan Zhang; Wei Huang; Lingxuan Liu; Yufang Zhang; Degang Yang; Yun Hao; Yaning Chen. 2021. "The potential benefits of dietary shift in China: Synergies among acceptability, health, and environmental sustainability." Science of The Total Environment 779, no. : 146497.

Journal article
Published: 26 February 2021 in Remote Sensing
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Estimating Terrestrial Water Storage (TWS) not only helps to provide a comprehensive insight into water resource variability and the hydrological cycle but also for better water resource management. In the current research, Gravity Recovery And Climate Experiment (GRACE) data are combined with the available hydrological data to reconstruct a longer record of Terrestrial Water Storage Anomalies (TWSA) prior to 2003 of the Tarim River Basin (TRB), based on a Long Short-Term Memory (LSTM) model. We found that the TWSA generated by LSTM using soil moisture, evapotranspiration, precipitation, and temperature best matches the GRACE-derived TWSA, with a high correlation coefficient (r) of 0.922 and a Normalized Root Mean Square Error (NRMSE) of 0.107 during the period 2003–2012. These results show that the LSTM model is an available and feasible method to generate TWSA. Further, the TWSA reveals a significant fluctuating downward trend (p < 0.001), with an average decline rate of 0.03 mm/month during the period 1982–2016 in the TRB. Moreover, the TWSA amount in the north of the TRB was less than that in the south of the basin. Overall, our findings unveiled that the LSTM model and GRACE data can be combined effectively to analyze the long-term TWSA in large-scale basins with limited hydrological data.

ACS Style

Fei Wang; Yaning Chen; Zhi Li; Gonghuan Fang; Yupeng Li; Xuanxuan Wang; Xueqi Zhang; Patient Kayumba. Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China. Remote Sensing 2021, 13, 889 .

AMA Style

Fei Wang, Yaning Chen, Zhi Li, Gonghuan Fang, Yupeng Li, Xuanxuan Wang, Xueqi Zhang, Patient Kayumba. Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China. Remote Sensing. 2021; 13 (5):889.

Chicago/Turabian Style

Fei Wang; Yaning Chen; Zhi Li; Gonghuan Fang; Yupeng Li; Xuanxuan Wang; Xueqi Zhang; Patient Kayumba. 2021. "Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China." Remote Sensing 13, no. 5: 889.

Journal article
Published: 11 February 2021 in Remote Sensing
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The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis agricultural production and protects oasis habitat security. This paper investigates the dynamic evolution of the desert-oasis ecotone in the Tarim River Basin and predicts the near-future land-use change in the desert-oasis ecotone using the cellular automata–Markov (CA-Markov) model. Results indicate that the overall area of the desert-oasis ecotone shows a shrinking trend (from 67,642 km2 in 1990 to 46,613 km2 in 2015) and the land-use change within the desert-oasis ecotone is mainly manifested by the conversion of a large amount of forest and grass area into arable land. The increasing demand for arable land for groundwater has led to a decline in the groundwater level, which is an important reason for the habitat deterioration in the desert-oasis ecotone. The rising temperature and drought have further exacerbated this trend. Assuming the current trend in development without intervention, the CA-Markov model predicts that by 2030, there will be an additional 1566 km2 of arable land and a reduction of 1151 km2 in forested area and grassland within the desert-oasis ecotone, which will inevitably further weaken the ecological barrier role of the desert-oasis ecotone and trigger a growing ecological crisis.

ACS Style

Fan Sun; Yi Wang; Yaning Chen; Yupeng Li; Qifei Zhang; Jingxiu Qin; Patient Kayumba. Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China. Remote Sensing 2021, 13, 647 .

AMA Style

Fan Sun, Yi Wang, Yaning Chen, Yupeng Li, Qifei Zhang, Jingxiu Qin, Patient Kayumba. Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China. Remote Sensing. 2021; 13 (4):647.

Chicago/Turabian Style

Fan Sun; Yi Wang; Yaning Chen; Yupeng Li; Qifei Zhang; Jingxiu Qin; Patient Kayumba. 2021. "Historic and Simulated Desert-Oasis Ecotone Changes in the Arid Tarim River Basin, China." Remote Sensing 13, no. 4: 647.

Journal article
Published: 18 December 2020 in Water
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Global warming has led to a serious crisis on regional water resources. Establishing a decision support system (DSS) on the sustainable utilization of water resources for arid areas is an increasingly critical problem. Selecting Xinjiang as a case study, this paper developed a system dynamics (SD) model. Through the simulation operation of the model, we achieved the decision on sustainable utilization of water resources. The extensive economic development is the main factor restricting the sustainable utilization of water resources in Xinjiang. We propose to adjust the planting structure and implement water-saving irrigation in Xinjiang, especially the Tarim Basin and Turpan-Hami Basin. This research provides the sustainable utilization plan of water resources for Xinjiang and its sub-regions in the next 30 years. By 2050, we recommend that the reuse rate of urban domestic water consumption and industrial sewage should reach 75%; the rural domestic water quota should be 70 L/(person*day); water consumption per industrial output value of ten thousand Yuan should be 28 m3; the irrigation water quota should be 5000 m3/hectare in Xinjiang. This research can provide references for the decision on sustainable utilization of water resources in arid regions around the world.

ACS Style

Mengtian Fan; Jianhua Xu; Yaning Chen; Dahui Li; Shasha Tian. How to Sustainably Use Water Resources—A Case Study for Decision Support on the Water Utilization of Xinjiang, China. Water 2020, 12, 3564 .

AMA Style

Mengtian Fan, Jianhua Xu, Yaning Chen, Dahui Li, Shasha Tian. How to Sustainably Use Water Resources—A Case Study for Decision Support on the Water Utilization of Xinjiang, China. Water. 2020; 12 (12):3564.

Chicago/Turabian Style

Mengtian Fan; Jianhua Xu; Yaning Chen; Dahui Li; Shasha Tian. 2020. "How to Sustainably Use Water Resources—A Case Study for Decision Support on the Water Utilization of Xinjiang, China." Water 12, no. 12: 3564.

Journal article
Published: 26 November 2020 in Plant Physiology and Biochemistry
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Quinoa emerged as an ideal food security crop due to its exceptional nutritive profile and stress enduring potential and also deemed as model plant to study the salt-tolerance mechanisms. However to fill the research gaps of this imperative crop, the present work aimed to study the effect of potassium (K) deficiency either separately or in combination with salinity. First, we investigated the stomatal and physiological based variations in quinoa growth under salinity and K, then series of analytical tools were used with model approach to interpret the stomatal aperture (SA) and photosynthesis (Pn) changes. Results revealed that quinoa efficiently deployed antioxidants to scavenge the excessive reactive oxygen species (ROS), had high uptake and retention of K+, Ca2+, Mg2+ with Cl⁻ as charge balancing ion, increased stomata density (SD) and declined the SA to maintain the Pn which resulted the improved growth under salinity. Whereas, K-deficiency caused the stunted growth more severally under salinity due to disruption in ionic homeostasis, excessive ROS production elicited the oxidative damages, SD and SA reduced and ultimately declined in Pn. Our best fitted regression model explored that dependent variables like Pn and SA changed according to theirs signified explanatory variables with quantification per unit based as stomatal conductance (Gs, 51), SD (0.05), ROS (-0.79) and K+ (0.08), Cl⁻ (0.34) and Na+ (- 0.52) respectively. Overall, moderate salinity promoted the quinoa growth, while K-deficiency particularly with salinity reduced the quinoa performance by affecting stomatal and non-stomatal factors.

ACS Style

Muhammad Waqas; Chen Yaning; Hassan Iqbal; Muhammad Shareef; Hafeez Ur Rehman; Hafiz Muhammad Bilal. Synergistic consequences of salinity and potassium deficiency in quinoa: Linking with stomatal patterning, ionic relations and oxidative metabolism. Plant Physiology and Biochemistry 2020, 159, 17 -27.

AMA Style

Muhammad Waqas, Chen Yaning, Hassan Iqbal, Muhammad Shareef, Hafeez Ur Rehman, Hafiz Muhammad Bilal. Synergistic consequences of salinity and potassium deficiency in quinoa: Linking with stomatal patterning, ionic relations and oxidative metabolism. Plant Physiology and Biochemistry. 2020; 159 ():17-27.

Chicago/Turabian Style

Muhammad Waqas; Chen Yaning; Hassan Iqbal; Muhammad Shareef; Hafeez Ur Rehman; Hafiz Muhammad Bilal. 2020. "Synergistic consequences of salinity and potassium deficiency in quinoa: Linking with stomatal patterning, ionic relations and oxidative metabolism." Plant Physiology and Biochemistry 159, no. : 17-27.

Journal article
Published: 18 November 2020 in Journal of Hydrology
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Changes in total and extreme precipitation are expected to intensify under climate warming. As Central Asia is among the driest regions in the world, more information is needed regarding the past and potential future changes in extreme precipitation in this region. In this study, we investigated changes in total and extreme precipitation in Central Asia based on observational records and Coupled Model Intercomparison Project 5 (CMIP5) model simulations. The results showed that all extreme precipitation-related indices except for consecutive dry days (CDD) experienced an increasing trend during 1936–2005. The annual total wet-day precipitation (PRCPTOT), daily intensity index (SDII), annual maximum 1- or 5-day precipitation amount (Rx1day and Rx5day), total annual number of days with precipitation exceeding heavy precipitation or very heavy precipitation thresholds (R10 and R20), and CDD were statistically robust. Generally, the statistically significant increasing trends are more pronounced in the wetter sub-regions, i.e. Northern and Southeastern Central Asia. Based on the CMIP5 model simulations, the PRCPTOT, Rx1day, and CDD in Central Asia are projected to increase robustly during 2006–2100 under representative concentration pathway (RCP) 4.5 and RCP 8.5; higher RCPs had higher rates of extreme precipitation and lower signal-to-noise ratios (SNRs). In addition, a considerable intensification of extreme precipitation and slight drought is predicted for the late 21st century (2071–2100). In Central Asia, the PRCPTOT, Rx1day, and CDD had an approximately linear relationship with global warming rates, with rates of 4.95%/K, 5.79%/K, and 2.79%/K, respectively, under RCP 4.5. The response rates were slightly lower under RCP 8.5 than under RCP 4.5 for these indices. The increase in total precipitation was mainly due to the intensification of extreme precipitation and a concomitant weakening of light precipitation, with a simultaneous overcompensation of increased evaporation due to global warming. Thus, our results suggest that total and extreme precipitation will intensify in Central Asia under a warming climate. Since increased extreme precipitation may lead to a heightened risk of flooding, water availability is predicted to remain limited over Central Asia.

ACS Style

Junqiang Yao; Yaning Chen; Jing Chen; Yong Zhao; Dilinuer Tuoliewubieke; Jiangang Li; Lianmei Yang; Weiyi Mao. Intensification of extreme precipitation in arid Central Asia. Journal of Hydrology 2020, 598, 125760 .

AMA Style

Junqiang Yao, Yaning Chen, Jing Chen, Yong Zhao, Dilinuer Tuoliewubieke, Jiangang Li, Lianmei Yang, Weiyi Mao. Intensification of extreme precipitation in arid Central Asia. Journal of Hydrology. 2020; 598 ():125760.

Chicago/Turabian Style

Junqiang Yao; Yaning Chen; Jing Chen; Yong Zhao; Dilinuer Tuoliewubieke; Jiangang Li; Lianmei Yang; Weiyi Mao. 2020. "Intensification of extreme precipitation in arid Central Asia." Journal of Hydrology 598, no. : 125760.

Research article
Published: 10 November 2020 in Hydrological Processes
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It is crucial for accurately describing the precipitation patterns and their underlying mechanisms to optimise the hydro‐climatic model parameters and improve the accuracy of precipitation forecasting. Based on 212 precipitation samples collected during August 2015 to July 2016 in the mid‐mountain region of the Manasi River Basin in the northern slope of the Tianshan Mountains, we estimated the effect of sub‐cloud evaporation on precipitation, analysed the factors that influence the sub‐cloud evaporation, and modelled the response of sub‐cloud evaporation to global warming. The mean remaining raindrop mass fraction after evaporation (f) in this region is 94.39%. The mean deviation between d‐excess (Δd) of ground precipitation and raindrops under cloud is −4.22‰. The intensity of sub‐cloud evaporation is the highest in summer. There is a significant positive correlation between f and Δd (0.72‰/%). The relative humidity and diameter of raindrops were observed to have a direct influence on the intensity of sub‐cloud evaporation. The temperature was observed to influence the intensity of sub‐cloud evaporation indirectly by influencing the relative humidity and diameter of raindrops. Global warming will increase the intensity of sub‐cloud evaporation in the Tianshan Mountains, especially for small precipitation events.

ACS Style

Haiyan Chen; Yaning Chen; Dalong Li; Weihong Li. Effect of sub‐cloud evaporation on precipitation in the Tianshan Mountains (Central Asia) under the influence of global warming. Hydrological Processes 2020, 34, 5557 -5566.

AMA Style

Haiyan Chen, Yaning Chen, Dalong Li, Weihong Li. Effect of sub‐cloud evaporation on precipitation in the Tianshan Mountains (Central Asia) under the influence of global warming. Hydrological Processes. 2020; 34 (26):5557-5566.

Chicago/Turabian Style

Haiyan Chen; Yaning Chen; Dalong Li; Weihong Li. 2020. "Effect of sub‐cloud evaporation on precipitation in the Tianshan Mountains (Central Asia) under the influence of global warming." Hydrological Processes 34, no. 26: 5557-5566.

Journal article
Published: 17 October 2020 in Journal of Hydrology
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Groundwater is essential for agricultural, ecological and domestic water use, and its depletion under climatic and anthropogenic impacts can impose challenges on regional water resources and ecological security, particularly in arid regions. Spatiotemporal variation and drivers of groundwater are critical to understand groundwater cycling and restore groundwater, while they are poorly understood in arid oasis region due to sparse field monitoring. To address this, we examined the spatiotemporal variations and controlling factors of groundwater level and mineralization degree using data collected at 22 wells in the Wei-Ku Oasis of Tarim Basin during 2000-2018, a typical arid inland river basin in northwest China. Results showed that obviously large spatial and temporal variations existed in both DGL (depth to groundwater level) and DM (degree of mineralization). Groundwater level was the shallowest in spring and deepest in autumn. DGL exhibited a markedly increasing trend (2.05 m per decade), while DM marginally decreased (-0.21 g/L per decade) (p < 0.001) during 2000-2018. The spatial distributions of DGL and DM were complex. Larger variation of DGL/DM generally occurred at the areas with greater DGL/DM. DM in the northwestern part was obviously smaller than that in the southeastern part. The variation of DGL in the eastern region was noticeably larger than that in the western region. Human activity was the main driving factor of DGL increasing, climate change had a dominant role in DM decreasing, and the relationship between controlling factors and groundwater varied in space and season. Decreasing riverbank leakage and increasing volume of evapotranspiration, groundwater pumping and water drainage led to decreasing groundwater level, while increasing infiltration/leakage from irrigated water, canal and reservoir resulted in increasing groundwater level. The results could help to advance the understanding of groundwater cycling mechanism, and be useful in improving sustainable groundwater management and restoring ecosystem in arid region.

ACS Style

Wanrui Wang; Yaning Chen; Weihua Wang; Junxin Jiang; Ming Cai; Yongjun Xu. Evolution characteristics of groundwater and its response to climate and land-cover changes in the oasis of dried-up river in Tarim Basin. Journal of Hydrology 2020, 594, 125644 .

AMA Style

Wanrui Wang, Yaning Chen, Weihua Wang, Junxin Jiang, Ming Cai, Yongjun Xu. Evolution characteristics of groundwater and its response to climate and land-cover changes in the oasis of dried-up river in Tarim Basin. Journal of Hydrology. 2020; 594 ():125644.

Chicago/Turabian Style

Wanrui Wang; Yaning Chen; Weihua Wang; Junxin Jiang; Ming Cai; Yongjun Xu. 2020. "Evolution characteristics of groundwater and its response to climate and land-cover changes in the oasis of dried-up river in Tarim Basin." Journal of Hydrology 594, no. : 125644.

Journal article
Published: 15 October 2020 in Nature Communications
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Winter Eurasian cooling after the mid-1990s has been verified by numerous studies, although in recent decades, the mid-latitudes of the Northern Hemisphere have been rapidly warming globally. Because the cooling is not uniform at different spatial and temporal scales, over time, this change may not truly reflect the nature of climate fluctuations. Here, by using three types of data (reanalysis, weather station, and remote sensing image data) to assess variations in Eurasian seasonal cooling, we examine the causes of these changes. During a 30-year climatology (1989–2018), we show that a significant (P < 0.05) abrupt change in the autumn Eurasian air temperature trend occurred in 2003. Our results suggest that from 2004–2018, the autumn Eurasian temperature reveals a significant cooling trend (P < 0.05). We demonstrate that the autumn cooling in Eurasia is likely influenced by the Pacific Decadal Oscillation (PDO) and Siberian high (SH). Since 2004, the strengthening of the PDO and SH explains approximately 54% and 18% of the autumn cooling in Eurasia, respectively. We also find that the cooling in autumn is stronger than that in winter.

ACS Style

Baofu Li; Yupeng Li; Yaning Chen; Baohuan Zhang; Xun Shi. Recent fall Eurasian cooling linked to North Pacific sea surface temperatures and a strengthening Siberian high. Nature Communications 2020, 11, 1 -8.

AMA Style

Baofu Li, Yupeng Li, Yaning Chen, Baohuan Zhang, Xun Shi. Recent fall Eurasian cooling linked to North Pacific sea surface temperatures and a strengthening Siberian high. Nature Communications. 2020; 11 (1):1-8.

Chicago/Turabian Style

Baofu Li; Yupeng Li; Yaning Chen; Baohuan Zhang; Xun Shi. 2020. "Recent fall Eurasian cooling linked to North Pacific sea surface temperatures and a strengthening Siberian high." Nature Communications 11, no. 1: 1-8.

Journal article
Published: 28 September 2020 in Sustainability
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Against the background of China’s relaxation of family planning standards, this thesis analyzed the demographic trends in ethnic minority areas and their impacts on regional development under China’s adjustment of its population strategy. By setting up different fertility scenarios, the population forecasting software (PADIS-INT) was applied to forecast the population scale and structure of the Hotan region. This thesis analyzed the impacts of population growth on regional sustainable development from the perspectives of employment, economic development, and resource carrying capacity to provide references for the formulation and implementation of population and economic development policies in minority areas, to alleviate the contradiction between the human and environment. The results showed that the Hotan region would maintain a relatively fast population growth rate for a long period; by 2050, its population would skew younger when compared to China’s general statistics. However, due to the lagging economic development and the constraints to resources and the environment, unemployment would become the most severe problem hampering regional development. While developing its local economy, the Hotan region needs to better promote the interregional migration of the labor force.

ACS Style

Jinwei Huo; Xinhuan Zhang; Zhiping Zhang; Yaning Chen. Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment. Sustainability 2020, 12, 8021 .

AMA Style

Jinwei Huo, Xinhuan Zhang, Zhiping Zhang, Yaning Chen. Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment. Sustainability. 2020; 12 (19):8021.

Chicago/Turabian Style

Jinwei Huo; Xinhuan Zhang; Zhiping Zhang; Yaning Chen. 2020. "Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment." Sustainability 12, no. 19: 8021.

Journal article
Published: 06 September 2020 in Remote Sensing
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Global Satellite Mapping of Precipitation (GSMaP), Climate Hazards Group InfraRed Preconception with Station data (CHIRPS), Tropical Rain Measurement Mission Multisatellite Precipitation Analysis (TRMM 3B42 V7) and Rainfall Estimation from Soil Moisture Observations (SM2RAIN) are satellite precipitation products with high applicability, but their applicability in hydrological research in arid mountainous areas is not clear. Based on precipitation and runoff data, this study evaluated the applicability of each product to hydrological research in a typical mountainous basin (the Qaraqash River basin) in an arid region by using two methods: a statistical index and a hydrological model (Soil and Water Assessment Tool, SWAT). Simulation results were evaluated by Nash efficiency coefficient (NS), relative error (PBIAS) and determination coefficient (R2). The results show that: (1) The spatial distributions of precipitation estimated by these four products in the Qaraqash River basin are significantly different, and the multi-year average annual precipitation of GSMaP is 97.11 mm, which is the closest to the weather station interpolation results. (2) On the annual and monthly scales, GSMaP has the highest correlation (R ≥ 0.82) with the observed precipitation and the smallest relative error (BIAS < 6%). On the seasonal scale, the inversion accuracy of GSMaP in spring, summer and autumn is significantly higher than other products. In winter, all four sets of products perform poorly in estimating the actual precipitation. (3) Monthly runoff simulations based on SM2RAIN and GSMaP show good fitting (R2 > 0.6). In daily runoff simulation, GSMaP has the greatest ability to reproduce runoff changes. The study provides a reference for the optimization of precipitation image data and hydrological simulation in data-scarce areas.

ACS Style

Xiangzhen Wang; Baofu Li; Yaning Chen; Hao Guo; Yunqian Wang; Lishu Lian. Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas. Remote Sensing 2020, 12, 2886 .

AMA Style

Xiangzhen Wang, Baofu Li, Yaning Chen, Hao Guo, Yunqian Wang, Lishu Lian. Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas. Remote Sensing. 2020; 12 (18):2886.

Chicago/Turabian Style

Xiangzhen Wang; Baofu Li; Yaning Chen; Hao Guo; Yunqian Wang; Lishu Lian. 2020. "Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas." Remote Sensing 12, no. 18: 2886.

Journal article
Published: 01 September 2020 in Regional Sustainability
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In the arid region of northwestern China (ARNC), water resources are the most critical factor restricting socioeconomic development and influencing the stability of the area's ecological systems. The region's complex water system and unique hydrological cycle show distinctive characteristics. Moreover, the intensified hydrological cycle and extreme climatic and hydrological events resulting from global warming have led to increased uncertainty around water resources as well as heightened conflict between water supply and water demand. All of these factors are exerting growing pressures on the socioeconomic development and vulnerable ecological environment in the region. This research evaluates the impacts of climate change on water resources, hydrological processes, agricultural system, and desert ecosystems in the ARNC, and addresses some associated risks and challenges specific to this area. The temperature is rising at a rate of 0.31 °C per decade during 1961–2017 and hydrological processes are being significantly influenced by changes in glaciers, snow cover, and precipitation form, especially in the rivers recharged primarily by melt water. Ecosystems are also largely influenced by climate change, with the Normalized Difference Vegetation Index (NDVI) of natural vegetation exhibited an increasing trend prior to 1998, and then reversed in Xinjiang while the Hexi Corridor of Gansu showed the opposite trends. Furthermore, the desert-oasis transition zone showed a reduction in area due to the warming trend and the recent rapid expansion of irrigated area. Both the warming and intensified drought are threatening agriculture security. The present study could shed light on sustainable development in this region under climate change and provides scientific basis to the construction of the “Silk Road Economic Belt”.

ACS Style

Yaning Chen; Xueqi Zhang; Gonghuan Fang; Zhi Li; Fei Wang; Jingxiu Qin; Fan Sun. Potential risks and challenges of climate change in the arid region of northwestern China. Regional Sustainability 2020, 1, 20 -30.

AMA Style

Yaning Chen, Xueqi Zhang, Gonghuan Fang, Zhi Li, Fei Wang, Jingxiu Qin, Fan Sun. Potential risks and challenges of climate change in the arid region of northwestern China. Regional Sustainability. 2020; 1 (1):20-30.

Chicago/Turabian Style

Yaning Chen; Xueqi Zhang; Gonghuan Fang; Zhi Li; Fei Wang; Jingxiu Qin; Fan Sun. 2020. "Potential risks and challenges of climate change in the arid region of northwestern China." Regional Sustainability 1, no. 1: 20-30.

Data article
Published: 20 August 2020 in Data in Brief
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This dataset includes land use/cover change data with a spatial resolution of 300 m, net ecosystem productivity data based on the monthly grid data of the temperature and precipitation series data from the Climatic Research Unit, terrestrial net primary production data from MOD17 of the Central Asia that underlies the article entitled “Spatial patterns of vegetation carbon sinks and sources under water constraint in Central Asia”. We explain the details of the dataset, the data harmonization procedures, and the spatial coverage. We also provide the validation result of NPP data from MOD17. We unified the spatiotemporal resolution of these data from different sources, based on re-sampling (nearest neighbor interpolation) and re-classification techniques, and combined the data from the different source datasets to form comprehensive records.

ACS Style

Zhi Li; Yaning Chen; Qifei Zhang; Yang Li. Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia. Data in Brief 2020, 32, 106200 .

AMA Style

Zhi Li, Yaning Chen, Qifei Zhang, Yang Li. Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia. Data in Brief. 2020; 32 ():106200.

Chicago/Turabian Style

Zhi Li; Yaning Chen; Qifei Zhang; Yang Li. 2020. "Spatial patterns of vegetation carbon sinks and sources dataset in Central Asia." Data in Brief 32, no. : 106200.

Journal article
Published: 20 August 2020 in Remote Sensing
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Global warming has generally led to changes in river runoffs fed by snow and glacier meltwater in mountain ranges. The runoff of the Aksu River, which originates in the Southern Tienshan Mountains, exhibited a positive trend during 1979–2002, but this trend reversed during 2002–2015. Through a comprehensive analysis, this study aims to estimate potential reasons for changes in the runoff of its two contrasting headwaters: the Toxkan and Kumalak Rivers, based on climatic data, the altitude of the 0 °C isotherm, glacier mass balance (GMB), snow cover area (SCA), snow depth (SD) and the sensitivity model. For the Toxkan River, the decrease in spring runoff mainly resulted from reductions in precipitation, whereas the decrease in summer runoff was mainly caused by early snowmelt in spring and a much-reduced snow meltwater supply in summer. In addition, the obvious glacier area reduction in the catchment (decreased to less than 4%) also contributed to the reduced summer runoff. For the Kumalak River, a sharp decrease rate of 10.21 × 108 m3/decade in runoff was detected due to summertime cooling of both surface and upper air temperatures. Reduced summer temperatures with a positive trend in precipitation not only inhibited glacier melting but also dropped the 0 °C layer altitude, resulting in a significant increase in summertime SCA and SD, a slowing of the glacier negative mass balance, and a lowering of the snow-line altitude.

ACS Style

Qifei Zhang; Yaning Chen; Zhi Li; Gonghuan Fang; Yanyun Xiang; Yupeng Li; Huiping Ji. Recent Changes in Water Discharge in Snow and Glacier Melt-Dominated Rivers in the Tienshan Mountains, Central Asia. Remote Sensing 2020, 12, 2704 .

AMA Style

Qifei Zhang, Yaning Chen, Zhi Li, Gonghuan Fang, Yanyun Xiang, Yupeng Li, Huiping Ji. Recent Changes in Water Discharge in Snow and Glacier Melt-Dominated Rivers in the Tienshan Mountains, Central Asia. Remote Sensing. 2020; 12 (17):2704.

Chicago/Turabian Style

Qifei Zhang; Yaning Chen; Zhi Li; Gonghuan Fang; Yanyun Xiang; Yupeng Li; Huiping Ji. 2020. "Recent Changes in Water Discharge in Snow and Glacier Melt-Dominated Rivers in the Tienshan Mountains, Central Asia." Remote Sensing 12, no. 17: 2704.

Journal article
Published: 15 August 2020 in Computers and Electronics in Agriculture
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Land Suitability Evaluation (LSE) is an important reference for land use and development decision. Multi-criterion decision making (MCDM) based on GIS is a convenient and efficient evaluation method. Sensitivity is a general method of validating and calibrating the results of MCDM to enhance the understanding of LSE results and to make correct planning decisions. In MCDM based on analytic hierarchy process (AHP), the weight of criteria determined by pairwise comparison is often the biggest factor causing uncertainty. In the process of MCDM, weight can be directly changed by adjusting the output of paired comparison matrix, or indirectly by changing the input and recalculating matrix. It is difficult for quantitative evaluation and spatial visualization of the sensitivity of corresponding weights of multi-criteria evaluation results. In this study, a comparison matrix calculation module was developed under excel environment, which was combined with ArcGIS and used one-at-a-time (OAT) technology to analyze the weight sensitivity caused by intensity of importance. It is particularly useful for the paired comparison matrix of order 4–6. The inland river basins in Xinjiang are studied as a representative. Groundwater irrigation suitability evaluation is made to promote regional agricultural development. Based on the preliminary results, the irrigation potential of agricultural groundwater was evaluated, and the proportions from S1 to S4 are 5%, 24%, 27% and 44% respectively. The sensitivity of line/row was higher when both criteria were more important, so the natural recharge modulus/slope was the most sensitive in the study. When the element value decreased or increased, S1 was relatively stable and S2 had some changes but not significant, on the contrary, S3 and S4 had significant changes.

ACS Style

Hongwei Li; Yaning Chen. The spatial sensitivity analysis of land irrigation suitability evaluation based on groundwater data of Xinjiang inland river basin. Computers and Electronics in Agriculture 2020, 177, 105680 .

AMA Style

Hongwei Li, Yaning Chen. The spatial sensitivity analysis of land irrigation suitability evaluation based on groundwater data of Xinjiang inland river basin. Computers and Electronics in Agriculture. 2020; 177 ():105680.

Chicago/Turabian Style

Hongwei Li; Yaning Chen. 2020. "The spatial sensitivity analysis of land irrigation suitability evaluation based on groundwater data of Xinjiang inland river basin." Computers and Electronics in Agriculture 177, no. : 105680.

Preprint content
Published: 10 August 2020
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The phenomenon that the warming rate of air temperature is amplified with elevation is termed elevation-dependent warming (EDW). It has been clarified that EDW can accelerate the retreat of glaciers and the melting of snow, which would have significant impacts on regional ecological environment. Owing to the lack of high-density ground observations in the high mountains, there is a widespread controversy on the existence of the EDW. Current evidences are mainly derived from some typical high mountains such as the Swiss Alps, the Colorado Rocky Mountains, the Tropical Andes and the Tibetan Plateau/Himalayas. Rare evidences in other mountains have been reported, especially in arid regions. In this study, EDW features in the Chinese Tianshan Mountains (CTM) are detected using a unique high-resolution (1 km, 6-hourly) air temperature data set (CTMD). The results showed that there are significant EDW signals at different altitudes on different time scales. The warming rate of the minimum temperature in winter shows significant elevation dependence, especially above 4000 m. The greatest altitudinal gradient in the warming rate of maximum temperature is found above 2500 m in April. For the mean temperature, the warming rates in January, February and March show prominent EDW features but with different significances. Within the CTM, the Tolm Mountains, the eastern part of the Borokoonu Mountains, the Bogda Mountains and the Balikun Mountains are the representative regions that show significant EDW features on different time scales. This new evidence partly explains the accelerated melting of glaciers in spring in the CTM.

ACS Style

Lu Gao; Haijun Deng; Xiangyong Lei; Jianhui Wei; Yaning Chen; Zhongqin Li; Miaomiao Ma; Xingwei Chen; Meibing Liu; Jianyun Gao. Evidence for elevation-dependent warming from the Chinese Tianshan Mountains. 2020, 2020, 1 -24.

AMA Style

Lu Gao, Haijun Deng, Xiangyong Lei, Jianhui Wei, Yaning Chen, Zhongqin Li, Miaomiao Ma, Xingwei Chen, Meibing Liu, Jianyun Gao. Evidence for elevation-dependent warming from the Chinese Tianshan Mountains. . 2020; 2020 ():1-24.

Chicago/Turabian Style

Lu Gao; Haijun Deng; Xiangyong Lei; Jianhui Wei; Yaning Chen; Zhongqin Li; Miaomiao Ma; Xingwei Chen; Meibing Liu; Jianyun Gao. 2020. "Evidence for elevation-dependent warming from the Chinese Tianshan Mountains." 2020, no. : 1-24.