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Dr. Fei Wang
The State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, China

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0 Hydrology
0 Water Resources
0 Soil and water conservation
0 human activities
0 Climate change and its adaptation

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Journal article
Published: 24 July 2021 in International Soil and Water Conservation Research
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Investigations of the formation mechanisms of flood peaks in small catchments facilitate flood prediction and disaster prevention under extreme rainstorms. However, there have been few studies on the responses of flood peaks to land use landscape patterns using field surveys during extreme rainstorm events. Based on field data from 17 small catchments near the rainstorm center of Typhoon Lekima, 7 landscape indices were chosen. The flood peak and its sensitivity to the land use landscape were investigated by combining remote sensing interpretation and related analysis. The conclusions are as follows: (1) The peak discharge of the small catchment was 2.36–56.50 m3/s, the peak modulus was 8.00–48.89 m3/(s·km2), and the flood index K ranged from 3.61 - 4.55. (2) Under similar rainfall conditions, the flood peak modulus, K and the proportion of sloping cropland had significantly positive correlations (p < 0.05). The flood peak modulus was significantly negatively correlated with the proportion of forest-grassland and terrace (p < 0.05), and K and the proportion of forest-grassland and terraced land exhibited a negative correlation. (3) The flood peak modulus and K were positively correlated with the landscape fragmentation. (4) The sensitivities of small catchments to floods were evaluated to be moderate compared to K values from other studies. The ability of small catchments to cope with extreme rainstorms can be improved by increasing the areas of forest-grassland, and terraces and reducing landscape fragmentation. Our results could be applied to provide a basis for land use planning and support for the response against disasters caused by extreme floods.

ACS Style

Yuanhao Liu; Jianqiao Han; Juying Jiao; BaoYuan Liu; Wenyan Ge; Qingbin Pan; Fei Wang. Responses of flood peaks to land use and landscape patterns under extreme rainstorms in small catchments - A case study of the rainstorm of Typhoon Lekima in Shandong, China. International Soil and Water Conservation Research 2021, 1 .

AMA Style

Yuanhao Liu, Jianqiao Han, Juying Jiao, BaoYuan Liu, Wenyan Ge, Qingbin Pan, Fei Wang. Responses of flood peaks to land use and landscape patterns under extreme rainstorms in small catchments - A case study of the rainstorm of Typhoon Lekima in Shandong, China. International Soil and Water Conservation Research. 2021; ():1.

Chicago/Turabian Style

Yuanhao Liu; Jianqiao Han; Juying Jiao; BaoYuan Liu; Wenyan Ge; Qingbin Pan; Fei Wang. 2021. "Responses of flood peaks to land use and landscape patterns under extreme rainstorms in small catchments - A case study of the rainstorm of Typhoon Lekima in Shandong, China." International Soil and Water Conservation Research , no. : 1.

Journal article
Published: 27 April 2021 in Ecological Indicators
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Climate change has led to an increase in the severity and frequency of extreme weather events, especially droughts. Quantifying the impacts of droughts on vegetation activities is essential to study the effects of climate change on the ecosystem. Using Gross Primary Productivity (GPP), phenological metrics, and Standardized precipitation evaporation index (SPEI) with multi-timescales, we evaluated the divergent responses of vegetation activities to droughts in the Yungui Plateau from 2001 to 2017. Besides, the sensitivity of vegetation to drought was analyzed by the maximum correlation coefficients between vegetation activities and SPEI over the plateau. Results revealed that the overall changes of the start (SOS) and end (EOS) of growing season in the plateau exhibited nonsignificant changes during the study period. Meanwhile, two extreme droughts of the study period caused a tremendous decrease in GPP and severe delays in SOS and EOS. Vegetation activities increased significantly in the eastern plateau because of the strong drought resistance of vegetation. Conversely, the dynamics of vegetation activities, especially phenological metrics, were nonsignificant in the west due to the weak drought resistance of vegetation. Preseason droughts of spring phenology played a key role in determining SOS dynamics. Besides, drought before summer contributed to the delay of EOS, while summer drought leads to early EOS. Hence, preseason droughts of autumn phenology nonlinearly impacted EOS due to strong interaction between SOS and EOS. More importantly, the stronger influences of SOS on annual GPP compared to EOS suggest that preseason droughts of SOS are essential to the vegetation productivity in the plateau. Given that the continuous warming of the climate will lead to more frequent droughts, it is essential to investigate the resilience of vegetation growth to drought in future work.

ACS Style

Wenyan Ge; Jianqiao Han; Daojun Zhang; Fei Wang. Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China. Ecological Indicators 2021, 127, 107743 .

AMA Style

Wenyan Ge, Jianqiao Han, Daojun Zhang, Fei Wang. Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China. Ecological Indicators. 2021; 127 ():107743.

Chicago/Turabian Style

Wenyan Ge; Jianqiao Han; Daojun Zhang; Fei Wang. 2021. "Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China." Ecological Indicators 127, no. : 107743.

Preprint content
Published: 03 March 2021
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From 1999 onwards, China has initiated a large-scale landscape restoration project on the Chinese Loess Plateau, which has had profound but variable impacts on the local ecosystem services supply. In this study, we evaluate the spatial and temporal dynamics in 11 ecosystem services in the Yan’an area on the Chinese Loess Plateau from 1990 to 2018 based on the InVEST model and statistical yearbook data. To consider trade-offs and synergies between ecosystem services, the concept of ecosystem service bundles was used to understand the dynamics of ecosystem services. A significant increase of fruit production, sediment retention, habitat quality, aesthetic landscape value as well as learning and inspiration value was found over time in Yan’an area, while a decrease of timber production and water yield was also observed. Synergistic relations were found between sediment retention, carbon sequestration, habitat quality and outdoor recreation, while trade-offs were observed between timber production and water yield. The majority of ecosystem services bundles of Yan’an area were transformed from having a focus on timber production to aesthetic landscape value. The dynamics of ecosystem services change by land restoration was discovered, to start with increasing regulating services at expense of provisioning services, cultural services exceeding regulating services and occupied the main proportion subsequently. The most obvious change was observed in 2000, coinciding with the start of large-scale restoration activities. The implementation of the large-scale restoration project is recognized as a key driving force inducing these changes. Based on the results, it is recommended that the Yan’an government pays attention to local water resource management and timber supply.

ACS Style

Hao Chen; Luuk Fleskens; Johanna Schild; Simon Moolenaar; Fei Wang; Coen Ritsema. Using ecosystem service bundles to evaluate spatial and temporal impacts of large-scale landscape restoration on ecosystem services on the Chinese Loess Plateau. 2021, 1 .

AMA Style

Hao Chen, Luuk Fleskens, Johanna Schild, Simon Moolenaar, Fei Wang, Coen Ritsema. Using ecosystem service bundles to evaluate spatial and temporal impacts of large-scale landscape restoration on ecosystem services on the Chinese Loess Plateau. . 2021; ():1.

Chicago/Turabian Style

Hao Chen; Luuk Fleskens; Johanna Schild; Simon Moolenaar; Fei Wang; Coen Ritsema. 2021. "Using ecosystem service bundles to evaluate spatial and temporal impacts of large-scale landscape restoration on ecosystem services on the Chinese Loess Plateau." , no. : 1.

Journal article
Published: 05 February 2021 in Science of The Total Environment
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Vegetation is an important component of the terrestrial ecosystem, driven by climate change and human activities. Quantifying the relative contributions of climate change and anthropogenic activities to vegetation dynamics are essential to cope with global climate change. In this paper, the relative contributions of anthropogenic activities and climate change to net primary productivity (NPP) in China were analyzed by a two-step methodology based on the residual trend analysis (RESTREND). Firstly, the unaltered natural vegetation only affected by climate change (Vclimate) and the vegetation affected by climate change and human activities (Vclimate+human) were separated by the multi-temporal land use land cover (LULC) data. Secondly, RESTREND was applied to NPP of Vclimate and Vclimate+human, respectively, to calculate contributions of climatic factors and human activities to vegetation growth. Results revealed that NPP exhibited a significant increase with 3.13 g C m−2 yr−1 from 2001 to 2016 in China. Climate change and human activities both made favorable impacts on vegetation growth during the study period. Besides, with the separation of Vclimate and Vclimate+human, contributions of climatic factors to vegetation changes increased from 1.57 to 1.88 g C m−2 yr−1, with the proportion of 60.06%. While contributions of human activities to NPP decreased from 1.56 to 1.25 g C m−2 yr−1, with the proportion of 39.94%. Moreover, the average contributions of precipitation, temperature, solar radiation, and other climatic factors to NPP over the entire country were 0.72, 0.24, 0.61, and 0.31 g C m−2 yr−1. Precipitation played a decisive role in vegetation changes in arid and semi-arid regions, temperature was the dominant factor for alpine vegetation dynamics, and solar radiation was beneficial to vegetation growth in most areas of China.

ACS Style

Wenyan Ge; Liqiang Deng; Fei Wang; Jianqiao Han. Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Science of The Total Environment 2021, 773, 145648 .

AMA Style

Wenyan Ge, Liqiang Deng, Fei Wang, Jianqiao Han. Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Science of The Total Environment. 2021; 773 ():145648.

Chicago/Turabian Style

Wenyan Ge; Liqiang Deng; Fei Wang; Jianqiao Han. 2021. "Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016." Science of The Total Environment 773, no. : 145648.

Journal article
Published: 17 September 2020 in Remote Sensing
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With several bands covering iron-bearing mineral spectral features, Sentinel-2 has advantages for iron mapping. However, due to the inconsistent spatial resolution, the sensitivity of Sentinel-2 data to detect iron-bearing minerals may be decreased by excluding the 60 m bands and neglecting the 20 m vegetation red-edge bands. Hence, the capability of Sentinel-2 for iron-bearing minerals mapping were assessed by applying a multivariate (MV) method to pansharpen Sentinel-2 data. Firstly, the Sentinel-2 bands with spatial resolution 20 m and 60 m (except band 10) were pansharpened to 10 m. Then, extraction of iron-bearing minerals from the MV-fused image was explored in the Cuprite area, Nevada, USA. With the complete set of 12 bands with a fine spatial resolution, three band ratios (6/1, 6/8A and (6 + 7)/8A) of the fused image were proposed for the extraction of hematite + goethite, hematite + jarosite and the mixture of iron-bearing minerals, respectively. Additionally, band ratios of Sentinel-2 data for iron-bearing minerals in previous studies were modified with substitution of narrow near infrared band 8A for band 8. Results demonstrated that the capability for detection of iron-bearing minerals using Sentinel-2 data was improved by consideration of two extra bands and the unified fine spatial resolution.

ACS Style

Wenyan Ge; Qiuming Cheng; Linhai Jing; Fei Wang; Molei Zhao; Haifeng Ding. Assessment of the Capability of Sentinel-2 Imagery for Iron-Bearing Minerals Mapping: A Case Study in the Cuprite Area, Nevada. Remote Sensing 2020, 12, 3028 .

AMA Style

Wenyan Ge, Qiuming Cheng, Linhai Jing, Fei Wang, Molei Zhao, Haifeng Ding. Assessment of the Capability of Sentinel-2 Imagery for Iron-Bearing Minerals Mapping: A Case Study in the Cuprite Area, Nevada. Remote Sensing. 2020; 12 (18):3028.

Chicago/Turabian Style

Wenyan Ge; Qiuming Cheng; Linhai Jing; Fei Wang; Molei Zhao; Haifeng Ding. 2020. "Assessment of the Capability of Sentinel-2 Imagery for Iron-Bearing Minerals Mapping: A Case Study in the Cuprite Area, Nevada." Remote Sensing 12, no. 18: 3028.

Journal article
Published: 11 September 2020 in Agricultural Water Management
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Rainwater is a primary water source for the hilly and gully region of the Loess Plateau where an improved efficiency of rainwater utilization is crucial for sustainable agricultural development. A new system, comprised of rainwater harvesting, concentrating infiltration with multi-holed pipe and mulching (RIM), was designed to sustain soil moisture at a proper level in rain-fed orchards in the hilly and gully loess region of China. This study monitored changes in soil moisture and distribution over soil profiles using four treatments: (a) RIM1 with two rainwater harvesting areas, two infiltration pipes and film mulching, (b) RIM2 with one rainwater harvesting area, one infiltration pipe and film mulching, (c) film mulching (FM) only and (d) traditional apple orchard as a control treatment (CK) as a baseline in this experiment. The results showed that mean soil moisture content (SMC) in a range of soil layer between 0 cm and 300 cm for RIM1 and RIM2 treatments increased by 43.01% and 34.78% in 2018 and 30.55% and 26.41% in 2019, respectively. Dividing the soil vertical profile into three layers, i.e., an easy-changing layer (0−60 cm), an increasing or decreasing layer (60−180 cm), and a relatively steady layer (180−300 cm), this study examined the vertical changes of soil moisture. The RIM1 and RIM2 treatments induced a large increase in the size and depth of wetted areas over the whole soil layers. The soil moisture was replenished to a horizontal distance of 1.5 m and 2.5 m apart from the trunk within the soil layer between 60 cm and 300 cm under the RIM1 treatment while only the horizontal distance of 1.5 m apart from the trunk under the RIM2 treatment. While the seasonal variation of SMC in the easy-changing soil layer (0−60 cm) corresponded to precipitation consistently, the SMC in the deep soil layers (60−300 cm) was not sensitive to precipitation. As a result, the treatments of RIM1, RIM2 and FM improved apple yield and crop water productivity compared with those under the control treatment. In particular, the RIM1 treatment performed the best among the treatments investigated in this study. The results highlighted the efficiency of the RIM system in enhancing the soil moisture, which may be useful to improve an orchard production for rain-fed orchards in the loess hilly and gully region of China.

ACS Style

Wenbin Ding; Fei Wang; Yunyun Dong; Kai Jin; Chenyu Cong; Jianqiao Han; Wenyan Ge. Effects of rainwater harvesting system on soil moisture in rain-fed orchards on the Chinese Loess Plateau. Agricultural Water Management 2020, 243, 106496 .

AMA Style

Wenbin Ding, Fei Wang, Yunyun Dong, Kai Jin, Chenyu Cong, Jianqiao Han, Wenyan Ge. Effects of rainwater harvesting system on soil moisture in rain-fed orchards on the Chinese Loess Plateau. Agricultural Water Management. 2020; 243 ():106496.

Chicago/Turabian Style

Wenbin Ding; Fei Wang; Yunyun Dong; Kai Jin; Chenyu Cong; Jianqiao Han; Wenyan Ge. 2020. "Effects of rainwater harvesting system on soil moisture in rain-fed orchards on the Chinese Loess Plateau." Agricultural Water Management 243, no. : 106496.

Journal article
Published: 12 August 2020 in Water
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The magnitude and spatiotemporal distribution of precipitation are the main drivers of hydrologic and agricultural processes in soil moisture, runoff generation, soil erosion, vegetation growth and agriculture activities on the Loess Plateau (LP). This study detects the spatiotemporal variations of individual rainfall events during a rainy season (RS) from May to September based on the hourly precipitation data measured at 87 stations on the LP from 1983 to 2012. The incidence and contribution rates were calculated for all classes of rainfall duration and intensity to identify the dominant contribution to the rainfall amount and frequency variations. The trend rates of regional mean annual total rainfall amount (ATR) and annual mean rainfall intensity (ARI) were 0.43 mm/year and 0.002 mm/h/year in the RS for 1983–2012, respectively. However, the regional mean annual total rainfall frequency (ARF) and rainfall events (ATE) were −0.27 h/year and −0.11 times/year, respectively. In terms of spatial patterns, an increase in ATR appeared in most areas except for the southwest, while the ARI increased throughout the study region, with particularly higher values in the northwest and southeast. Areas of decreasing ARF occurred mainly in the northwest and central south of the LP, while ATE was found in most areas except for the northeast. Short-duration (≤6 h) and light rainfall events occurred mostly on the LP, accounting for 69.89% and 72.48% of total rainfall events, respectively. Long-duration (≥7 h) and moderate rainfall events contributed to the total rainfall amount by 70.64% and 66.73% of the total rainfall amount, respectively. Rainfall frequency contributed the most to the variations of rainfall amount for light and moderate rainfall events, while rainfall intensity played an important role in heavy rainfall and rainstorms. The variation in rainfall frequency for moderate rainfall, heavy rainfall, and rainstorms is mainly affected by rainfall duration, while rainfall event was identified as a critical factor for light rainfall. The characteristics in rainfall variations on the Loess Plateau revealed in this study can provide useful information for sustainable water resources management and plans.

ACS Style

Wenbin Ding; Fei Wang; Kai Jin; Jianqiao Han; Qiang Yu; Qingfu Ren; Shangyu Shi. Individual Rainfall Change Based on Observed Hourly Precipitation Records on the Chinese Loess Plateau from 1983 to 2012. Water 2020, 12, 2268 .

AMA Style

Wenbin Ding, Fei Wang, Kai Jin, Jianqiao Han, Qiang Yu, Qingfu Ren, Shangyu Shi. Individual Rainfall Change Based on Observed Hourly Precipitation Records on the Chinese Loess Plateau from 1983 to 2012. Water. 2020; 12 (8):2268.

Chicago/Turabian Style

Wenbin Ding; Fei Wang; Kai Jin; Jianqiao Han; Qiang Yu; Qingfu Ren; Shangyu Shi. 2020. "Individual Rainfall Change Based on Observed Hourly Precipitation Records on the Chinese Loess Plateau from 1983 to 2012." Water 12, no. 8: 2268.

Review
Published: 09 March 2020
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Land use and climate change are recognized as two major drivers affecting surface streamflow. On the Chinese Loess Plateau, implementation of several land restoration projects has changed land cover in recent decades. The main objectives of this study were to understand how streamflow evolved on the Loess Plateau and how land use and climate change have contributed to this change. In this study, we selected 22 hydrological modelling studies covering 25 different watersheds in the Loess Plateau and we performed a meta-analysis by using the hydrological and metrological data collected from these studies. The results indicate a streamflow decrease in 41 of a total of 52 case studies whereas precipitation change was found to be non-significant in the majority of the cases. Streamflow reduction was estimated to be -0.46mm/year by meta-analysis across all case studies. Land use change was estimated to have 63.52% impact on the streamflow reduction whereas climate change accounted for 36.48% of the impact. Using meta-regression, an increasing soil and water conservation area was found to be positively correlated to streamflow reduction. We conclude that in the Chinese Loess Plateau, streamflow shows a decreasing trend and land restoration is the major cause of this reduction. To the knowledge of the authors, this is the first study that estimates streamflow dynamics across many watersheds on the entire Loess Plateau.

ACS Style

Hao Chen; Luuk Fleskens; Jantiene Baartman; Fei Wang; Simon Moolenaar; Coen Ritsema. Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: a meta-analysis. 2020, 1 .

AMA Style

Hao Chen, Luuk Fleskens, Jantiene Baartman, Fei Wang, Simon Moolenaar, Coen Ritsema. Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: a meta-analysis. . 2020; ():1.

Chicago/Turabian Style

Hao Chen; Luuk Fleskens; Jantiene Baartman; Fei Wang; Simon Moolenaar; Coen Ritsema. 2020. "Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: a meta-analysis." , no. : 1.

Journal article
Published: 31 January 2020 in Science of The Total Environment
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Studying the drivers and combating the effects of climate change is more urgent than ever, particularly in regions with limited water and sensitive ecosystems. This study evaluated the effect of vegetation variation on surface air temperature (SAT) change in the Chinese Loess Plateau over 1982–2015 based on the ‘observation minus reanalysis’ (OMR) method. Observed temperature, ERA-Interim reanalysis temperature, and Global Inventory Modeling and Mapping Studies normalized difference vegetation index (NDVI) 3rd generation were used to analyze the relationship between OMR temperature (representing vegetation impact on SAT) and NDVI. Results showed that the Loess Plateau, especially its central-east areas, has undergone a rapid increase in NDVI and rapid decrease in OMR temperature during 1982–2015. This implies a strong cooling effect of vegetation restoration on SAT change. The mean annual NDVI (MNDVI) and NDVI trend (SlopeNDVI) were negatively correlated with OMR temperature trend (SlopeOMR) on the Loess Plateau (P < 0.001). However, the relationships between MNDVI (SlopeNDVI) and SlopeOMR varied among the arid, semi-arid, and semi-humid regions. As a result, the impacts of restoration of vegetation condition on SAT change during 1982–2015 were estimated to be 0.04, −0.01, and −0.07 °C decade−1 in the arid, semi-arid, and semi-humid regions, respectively. For the entire Loess Plateau, the restoration of its vegetation condition led to a cooling effect of −0.02 °C decade−1 during 1982–2015 and a cooling effect of −0.05 °C in the period following the implementation of the Grain for Green Project (GGP). Moreover, among the three major land use types of the Loess Plateau (i.e., grassland, farmland, and forest), vegetation restoration of forest demonstrated the most obvious cooling effect (−0.06 °C decade−1 during 1982–2015). These results are the first quantitative estimation of the impact of vegetation variation on SAT across the entire Loess Plateau, and demonstrate the ecological effect of afforestation efforts in the southeastern areas in terms of climate warming alleviation.

ACS Style

Kai Jin; Fei Wang; Quanli Zong; Peng Qin; Chunxia Liu. Impact of variations in vegetation on surface air temperature change over the Chinese Loess Plateau. Science of The Total Environment 2020, 716, 136967 .

AMA Style

Kai Jin, Fei Wang, Quanli Zong, Peng Qin, Chunxia Liu. Impact of variations in vegetation on surface air temperature change over the Chinese Loess Plateau. Science of The Total Environment. 2020; 716 ():136967.

Chicago/Turabian Style

Kai Jin; Fei Wang; Quanli Zong; Peng Qin; Chunxia Liu. 2020. "Impact of variations in vegetation on surface air temperature change over the Chinese Loess Plateau." Science of The Total Environment 716, no. : 136967.

Review
Published: 03 November 2019 in Science of The Total Environment
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Land use and climate change are recognized as two major drivers affecting surface streamflow. On the Chinese Loess Plateau, implementation of several land restoration projects has changed land cover in recent decades. The main objectives of this study were to understand how streamflow evolved on the Loess Plateau and how land use and climate change have contributed to this change. In this study, we selected 22 hydrological modelling studies covering 25 different watersheds in the Loess Plateau and we performed a meta-analysis by using the hydrological and metrological data collected from these studies. The results indicate a streamflow decrease in 41 of a total of 52 case studies whereas precipitation change was found to be non-significant in the majority of the cases. Streamflow reduction was estimated to be -0.46mm/year by meta-analysis across all case studies. Land use change was estimated to have 63.52% impact on the streamflow reduction whereas climate change accounted for 36.48% of the impact. Using meta-regression, an increasing soil and water conservation area was found to be positively correlated to streamflow reduction. We conclude that in the Chinese Loess Plateau, streamflow shows a decreasing trend and land restoration is the major cause of this reduction. To the knowledge of the authors, this is the first study that estimates streamflow dynamics across many watersheds on the entire Loess Plateau.

ACS Style

Hao Chen; Luuk Fleskens; Jantiene Baartman; Fei Wang; Simon Moolenaar; Coen Ritsema. Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: A meta-analysis. Science of The Total Environment 2019, 703, 134989 .

AMA Style

Hao Chen, Luuk Fleskens, Jantiene Baartman, Fei Wang, Simon Moolenaar, Coen Ritsema. Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: A meta-analysis. Science of The Total Environment. 2019; 703 ():134989.

Chicago/Turabian Style

Hao Chen; Luuk Fleskens; Jantiene Baartman; Fei Wang; Simon Moolenaar; Coen Ritsema. 2019. "Impacts of land use change and climatic effects on streamflow in the Chinese Loess Plateau: A meta-analysis." Science of The Total Environment 703, no. : 134989.

Data descriptor
Published: 31 July 2019 in Scientific Data
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Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human–environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970–2050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16 W/m2 in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.

ACS Style

Kai Jin; Fei Wang; Deliang Chen; Huanhuan Liu; Wenbin Ding; Shangyu Shi. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. Scientific Data 2019, 6, 1 -14.

AMA Style

Kai Jin, Fei Wang, Deliang Chen, Huanhuan Liu, Wenbin Ding, Shangyu Shi. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. Scientific Data. 2019; 6 (1):1-14.

Chicago/Turabian Style

Kai Jin; Fei Wang; Deliang Chen; Huanhuan Liu; Wenbin Ding; Shangyu Shi. 2019. "A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series." Scientific Data 6, no. 1: 1-14.

Research article
Published: 24 April 2019 in International Journal of Climatology
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Accurate vegetation cover data are important for realistic simulation of regional climate. The default vegetation parameters from Global Land Cover 2000, currently incorporated into global climate models and used in regional climate model RegCM, are not realistic for China, which may have contributed to serious bias in surface climate simulation. In this study, a new set of vegetation parameters considering the Plant Functional Type (PFT) fractions and the corresponding monthly leaf area index (PFT_LAI), were developed based on the land cover and MODIS LAI datasets. The regional climate model RegCM4.5 coupled with the land surface model CLM4.5 were utilized to test the performance of the new vegetation parameters by comparing simulations with observations using different surface parameters. The surface energy balance was analyzed to examine the effects of changed vegetation parameters on regional climate. The results showed that the new parameters were more accurate than the GLC2000 parameters when describing the distribution of crops, grassland, and forests over China. The improved vegetation parameters reduced model biases for winter air temperature and precipitation over southern China by 0.9°C and 8%, respectively, and reduced the winter temperature and summer precipitation biases over northeastern China by approximately 0.7°C and 8%, respectively. More accurate surface albedo are the main reasons for reductions in model bias. However, certain biases, such as the cold and dry bias over the Tibetan Plateau, still remained in the simulation results using our new vegetation data. This article is protected by copyright. All rights reserved.

ACS Style

Jiaojiao Gou; Fei Wang; Kai Jin; Xingmin Mu; Deliang Chen. More realistic land‐use and vegetation parameters in a regional climate model reduce model biases over China. International Journal of Climatology 2019, 39, 4825 -4837.

AMA Style

Jiaojiao Gou, Fei Wang, Kai Jin, Xingmin Mu, Deliang Chen. More realistic land‐use and vegetation parameters in a regional climate model reduce model biases over China. International Journal of Climatology. 2019; 39 (12):4825-4837.

Chicago/Turabian Style

Jiaojiao Gou; Fei Wang; Kai Jin; Xingmin Mu; Deliang Chen. 2019. "More realistic land‐use and vegetation parameters in a regional climate model reduce model biases over China." International Journal of Climatology 39, no. 12: 4825-4837.

Journal article
Published: 30 October 2018 in Science of The Total Environment
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Floods are extreme hydroclimatic events that threaten societies and ecosystems. The effects of these events are greatly influenced by the changes that humans have imposed on the environment. The LISFLOOD model is a physically based rainfall-runoff model that simulates the hydrological processes in a catchment. Using globally available land cover, soil, and vegetation as well as meteorological and geographical datasets as input, the LISFLOOD model has the potential to be applied worldwide, even for regions where data are lacking. This study first calibrated and validated the LISFLOOD model in the Wei River Basin in China (432,000 km2) for the years between 2000 and 2010 at 0.05° resolution with a monthly Nash-Sutcliffe model efficiency coefficient of 0.79 at the Huaxian station located at the catchment outlet. The outlets of 17 tributaries draining into the main river were then identified in order to assess the contribution of each tributary to the total runoff occurring as a result of flooding. Four categories of scenarios focusing on human interventions in the basin were created and evaluated: 1) Business as usual, 2) Additional reservoirs constructed in different catchments, 3) Land use as in 1980, and 4) Water diversion plan with a pipeline injection of a fixed daily inflow from an adjacent catchment. The results of the scenarios are presented for three strategically important cities located on the floodplain. In general, the construction of the reservoirs could have an effect on reducing peak flows and decreasing the flood return periods while increasing the low flows. The water diversion plan scenarios increased the low flow by 41 times averaged for the three cities. In conclusion, the LISFLOOD model is a sophisticated model for land and water management planning on the catchment scale for reducing the effects of flood and drought.

ACS Style

Lingtong Gai; João Pedro Nunes; Jantiene E.M. Baartman; Hongming Zhang; Fei Wang; Ad de Roo; Coen J. Ritsema; Violette Geissen. Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model. Science of The Total Environment 2018, 653, 1077 -1094.

AMA Style

Lingtong Gai, João Pedro Nunes, Jantiene E.M. Baartman, Hongming Zhang, Fei Wang, Ad de Roo, Coen J. Ritsema, Violette Geissen. Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model. Science of The Total Environment. 2018; 653 ():1077-1094.

Chicago/Turabian Style

Lingtong Gai; João Pedro Nunes; Jantiene E.M. Baartman; Hongming Zhang; Fei Wang; Ad de Roo; Coen J. Ritsema; Violette Geissen. 2018. "Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model." Science of The Total Environment 653, no. : 1077-1094.

Journal article
Published: 10 October 2018 in Climate Research
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Kai Jin; Fei Wang; Qiang Yu; Jiaojiao Gou; Huanhuan Liu. Varied degrees of urbanization effects on observed surface air temperature trends in China. Climate Research 2018, 76, 131 -143.

AMA Style

Kai Jin, Fei Wang, Qiang Yu, Jiaojiao Gou, Huanhuan Liu. Varied degrees of urbanization effects on observed surface air temperature trends in China. Climate Research. 2018; 76 (2):131-143.

Chicago/Turabian Style

Kai Jin; Fei Wang; Qiang Yu; Jiaojiao Gou; Huanhuan Liu. 2018. "Varied degrees of urbanization effects on observed surface air temperature trends in China." Climate Research 76, no. 2: 131-143.

Journal article
Published: 23 August 2018 in Science of The Total Environment
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ISQAPER project - Interactive Soil Quality Assessment in Europe and China for Agricultural Productivity and Environmental Resilience - aims to develop an app to advise farmers on selecting the best Agriculture Management Practice (AMPs) to improve soil quality. For this purpose, a soil quality index has to be developed to account for the changes in soil quality as impacted by the implementation of the AMPs. Some promising AMPs have been suggested over the time to prevent soil degradation. These practices have been randomly adopted by farmers but which practices are most used by farmers and where they are mostly adopted remains unclear. This study is part of the iSQAPER project with the specific aims: 1) map the current distribution of previously selected 18 promising AMPs in several pedo-climatic regions and farming systems located in ten and four study site areas (SSA) along Europe and China, respectively; and 2) identify the soil threats occurring in those areas. In each SSA, farmers using promising AMP's were identified and questionnaires were used to assess farmer's perception on soil threats significance in the area. 138 plots/farms using 18 promising AMPs, were identified in Europe (112) and China (26).Results show that promising AMPs used in Europe are Crop rotation (15%), Manuring & Composting (15%) and Min-till (14%), whereas in China are Manuring & Composting (18%), Residue maintenance (18%) and Integrated pest and disease management (12%). In Europe, soil erosion is the main threat in agricultural Mediterranean areas while soil-borne pests and diseases is more frequent in the SSAs from France and The Netherlands. In China, soil erosion, SOM decline, compaction and poor soil structure are among the most significant. This work provides important information for policy makers and the development of strategies to support and promote agricultural management practices with benefits for soil quality.

ACS Style

Lúcia Barão; Abdallah Alaoui; Carla Ferreira; Gottlieb Basch; Gudrun Schwilch; Violette Geissen; Wijnand Sukkel; Julie Lemesle; Fuensanta Garcia-Orenes; Alicia Morugán-Coronado; Jorge Mataix-Solera; Costas Kosmas; Matjaž Glavan; Marina Pintar; Brigitta Toth; Tamás Hermann; Olga Vizitiu; Jerzy Lipiec; Endla Reintam; Minggang Xu; Jiaying Di; Hongzhu Fan; Fei Wang. Assessment of promising agricultural management practices. Science of The Total Environment 2018, 649, 610 -619.

AMA Style

Lúcia Barão, Abdallah Alaoui, Carla Ferreira, Gottlieb Basch, Gudrun Schwilch, Violette Geissen, Wijnand Sukkel, Julie Lemesle, Fuensanta Garcia-Orenes, Alicia Morugán-Coronado, Jorge Mataix-Solera, Costas Kosmas, Matjaž Glavan, Marina Pintar, Brigitta Toth, Tamás Hermann, Olga Vizitiu, Jerzy Lipiec, Endla Reintam, Minggang Xu, Jiaying Di, Hongzhu Fan, Fei Wang. Assessment of promising agricultural management practices. Science of The Total Environment. 2018; 649 ():610-619.

Chicago/Turabian Style

Lúcia Barão; Abdallah Alaoui; Carla Ferreira; Gottlieb Basch; Gudrun Schwilch; Violette Geissen; Wijnand Sukkel; Julie Lemesle; Fuensanta Garcia-Orenes; Alicia Morugán-Coronado; Jorge Mataix-Solera; Costas Kosmas; Matjaž Glavan; Marina Pintar; Brigitta Toth; Tamás Hermann; Olga Vizitiu; Jerzy Lipiec; Endla Reintam; Minggang Xu; Jiaying Di; Hongzhu Fan; Fei Wang. 2018. "Assessment of promising agricultural management practices." Science of The Total Environment 649, no. : 610-619.

Journal article
Published: 20 January 2018 in Sustainability
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Vegetation cover is crucial for the sustainability of urban ecosystems; however, this cover has been undergoing substantial changes in cities. Based on climate data, city statistical data, nighttime light data and the Normalized Difference Vegetation Index (NDVI) dataset, we investigate the spatiotemporal variations of climate factors, urban lands and vegetation cover in 71 large cities of China during 1998–2012, and explore their correlations. A regression model between growing-season NDVI (G-NDVI) and urban land proportion (PU) is built to quantify the impact of urbanization on vegetation cover change. The results indicate that the spatiotemporal variations of temperature, precipitation, PU and G-NDVI are greatly different among the 71 cities which experienced rapid urbanization. The spatial difference of G-NDVI is closely related to diverse climate conditions, while the inter-annual variations of G-NDVI are less sensitive to climate changes. In addition, there is a negative correlation between G-NDVI trend and PU change, indicating vegetation cover in cities have been negatively impacted by urbanization. For most of the inland cities, the urbanization impacts on vegetation cover in urban areas are more severe than in suburban areas. But the opposite occurs in 17 cities mainly located in the coastal areas which have been undergoing the most rapid urbanization. Overall, the impacts of urbanization on G-NDVI change are estimated to be −0.026 per decade in urban areas and −0.015 per decade in suburban areas during 1998–2012. The long-term developments of cities would persist and continue to impact on the environmental change and sustainability. We use a 15-year window here as a case study, which implies the millennia of human effects on the natural biotas and warns us to manage landscapes and preserve ecological environments properly.

ACS Style

Kai Jin; Fei Wang; Pengfei Li. Responses of Vegetation Cover to Environmental Change in Large Cities of China. Sustainability 2018, 10, 270 .

AMA Style

Kai Jin, Fei Wang, Pengfei Li. Responses of Vegetation Cover to Environmental Change in Large Cities of China. Sustainability. 2018; 10 (1):270.

Chicago/Turabian Style

Kai Jin; Fei Wang; Pengfei Li. 2018. "Responses of Vegetation Cover to Environmental Change in Large Cities of China." Sustainability 10, no. 1: 270.

Journal article
Published: 01 July 2017 in Earth-Science Reviews
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Pengfei Li; Xingmin Mu; Joseph Holden; Yiping Wu; Brian Irvine; Fei Wang; Peng Gao; Guangju Zhao; Wenyi Sun. Comparison of soil erosion models used to study the Chinese Loess Plateau. Earth-Science Reviews 2017, 170, 17 -30.

AMA Style

Pengfei Li, Xingmin Mu, Joseph Holden, Yiping Wu, Brian Irvine, Fei Wang, Peng Gao, Guangju Zhao, Wenyi Sun. Comparison of soil erosion models used to study the Chinese Loess Plateau. Earth-Science Reviews. 2017; 170 ():17-30.

Chicago/Turabian Style

Pengfei Li; Xingmin Mu; Joseph Holden; Yiping Wu; Brian Irvine; Fei Wang; Peng Gao; Guangju Zhao; Wenyi Sun. 2017. "Comparison of soil erosion models used to study the Chinese Loess Plateau." Earth-Science Reviews 170, no. : 17-30.

Journal article
Published: 01 January 2017 in CATENA
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Guangju Zhao; G. Matt Kondolf; Xingmin Mu; Mengwei Han; Zhong He; Zan Rubin; Fei Wang; Peng Gao; Wenyi Sun. Sediment yield reduction associated with land use changes and check dams in a catchment of the Loess Plateau, China. CATENA 2017, 148, 126 -137.

AMA Style

Guangju Zhao, G. Matt Kondolf, Xingmin Mu, Mengwei Han, Zhong He, Zan Rubin, Fei Wang, Peng Gao, Wenyi Sun. Sediment yield reduction associated with land use changes and check dams in a catchment of the Loess Plateau, China. CATENA. 2017; 148 ():126-137.

Chicago/Turabian Style

Guangju Zhao; G. Matt Kondolf; Xingmin Mu; Mengwei Han; Zhong He; Zan Rubin; Fei Wang; Peng Gao; Wenyi Sun. 2017. "Sediment yield reduction associated with land use changes and check dams in a catchment of the Loess Plateau, China." CATENA 148, no. : 126-137.

Journal article
Published: 01 December 2016 in Ecological Engineering
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Chong Jiang; Fei Wang; Haiyan Zhang; Xinling Dong. Quantifying changes in multiple ecosystem services during 2000–2012 on the Loess Plateau, China, as a result of climate variability and ecological restoration. Ecological Engineering 2016, 97, 258 -271.

AMA Style

Chong Jiang, Fei Wang, Haiyan Zhang, Xinling Dong. Quantifying changes in multiple ecosystem services during 2000–2012 on the Loess Plateau, China, as a result of climate variability and ecological restoration. Ecological Engineering. 2016; 97 ():258-271.

Chicago/Turabian Style

Chong Jiang; Fei Wang; Haiyan Zhang; Xinling Dong. 2016. "Quantifying changes in multiple ecosystem services during 2000–2012 on the Loess Plateau, China, as a result of climate variability and ecological restoration." Ecological Engineering 97, no. : 258-271.

Journal article
Published: 01 October 2016 in CATENA
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Under the impacts of climate change and human activities, violent fluctuations of streamflow are observed in large river basins in China. Therefore, comparative assessment of the climatic and anthropogenic influence is crucial for better water resources planning and management. This study investigates the streamflow change in the Liao River Basin (LRB), one of the largest basins in northeast China, using long-term hydrological and meteorological data for the period of 1953–2011. The nonparametric Mann–Kendall test, Pettitt test, and cumulative anomaly curve are used to identify trends and change points of the hydro-meteorological variables. In the past 59 years, the annual and seasonal mean streamflow exhibited significant downward trend. The monthly mean streamflow presented upward trends in January, February, and May, while a downward trend was observed in other seasons. Turning points in the streamflow occurred in the years 1964, 1984, and 1998, which divide the long-term runoff series into a natural (baseline) and three human-induced periods. The high (Q5), low (Q95), and median (Q50) flow during the natural period (1953–1964) was higher than that in two human-induced periods (1965–1984 and 1999–2011). The hydrologic sensitivity method was employed to evaluate the effects of climate change and human activities on the annual runoff during the human-induced periods. The results revealed that anthropogenic influence had a far greater contribution (> 56.6%) to the streamflow variability than that by climate change (< 43.4%). Thus, human activities are considered as the most important factor controlling streamflow changes in the LRB.

ACS Style

Chong Jiang; Fei Wang. Temporal changes of streamflow and its causes in the Liao River Basin over the period of 1953–2011, northeastern China. CATENA 2016, 145, 227 -238.

AMA Style

Chong Jiang, Fei Wang. Temporal changes of streamflow and its causes in the Liao River Basin over the period of 1953–2011, northeastern China. CATENA. 2016; 145 ():227-238.

Chicago/Turabian Style

Chong Jiang; Fei Wang. 2016. "Temporal changes of streamflow and its causes in the Liao River Basin over the period of 1953–2011, northeastern China." CATENA 145, no. : 227-238.