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She has been engaged in the development of multi-element quantitative monitoring algorithms for ecosystems, water, and soil with quantitative assessment methods for key ecosystem services such as carbon sequestration and water production. Her work improved the accuracy of ecosystem service assessment, and carried out multiple service trade-off analysis on this basis . The study revealed the mechanism of the impact of returning farmland to forests on the ecosystem services of the Loess Plateau, and quantified the threshold of sustainable vegetation carrying capacity for ecological restoration in the Loess Plateau. She has published many papers in international journals such as Nature Climate Change, Remote Sensing of Environment, Hydrology and Earth System Sciences, and Ecological Indicators. As of February 2018, the paper has been cited by other SCI 548 times, of which the first author's paper has been cited 220 times by SCI, and the highest single paper is cited by other 74 times. The research won the 2017 Outstanding Youth Science Fund, and the 2016 Chinese Academy of Sciences Outstanding Scientific and Technological Achievement Award (the main completer of the ecosystem service research group, ranking 10/20), and the 2016 Surveying and Mapping Science and Technology Progress Award Special Award (National Ecological Environment Ten-year Changes Remote sensing survey and evaluation project research collective award, ranking 14/30).
Water stress is one of the primary environmental factors that limits terrestrial ecosystems’ productivity. Hense, the way to quantify gobal vegetation productivity’s vulnerability under water stress and reveal its seasonal dynamics in response to drought is of great significance in mitigating and adapting to global changes. Here, we estimated monthly gross primary productivity (GPP) first based on light-use efficiency (LUE) models for 1982–2015. GPP’s response time to water availability can be determined by correlating the monthly GPP series with the multiple timescale Standardized Precipitation Evapotranspiration Index (SPEI). Thereafter, we developed an optimal bivariate probabilistic model to derive the vegetation productivity loss probabilities under different drought scenarios using the copula method. The results showed that LUE models have a good fit and estimate GPP well (R2 exceeded 0.7). GPP is expected to decrease in 71.91% of the global land vegetation area because of increases in radiation and temperature and decreases in soil moisture during drought periods. Largely, we found that vegetation productivity and water availability are correlated positively globally. The vegetation productivity in arid and semiarid areas depends considerably upon water availability compared to that in humid and semi-humid areas. Weak drought resistance often characterizes the land cover types that water availability influences more. In addition, under the scenario of the same level of GPP damage with different drought degrees, as droughts increase in severity, GPP loss probabilities increase as well. Further, under the same drought severity with different levels of GPP damage, drought’s effect on GPP loss probabilities weaken gradually as the GPP damage level increaes. Similar patterns were observed in different seasons. Our results showed that arid and semiarid areas have higher conditional probabilities of vegetation productivity losses under different drought scenarios.
Yuan Zhang; XiaoMing Feng; Bojie Fu; Yongzhe Chen; Xiaofeng Wang. Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability. Remote Sensing 2021, 13, 1289 .
AMA StyleYuan Zhang, XiaoMing Feng, Bojie Fu, Yongzhe Chen, Xiaofeng Wang. Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability. Remote Sensing. 2021; 13 (7):1289.
Chicago/Turabian StyleYuan Zhang; XiaoMing Feng; Bojie Fu; Yongzhe Chen; Xiaofeng Wang. 2021. "Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability." Remote Sensing 13, no. 7: 1289.
Extensive ecosystem restoration is increasingly seen as an essential practice to mitigate climate change and protect the ecological environment. However, the indirect impact of surface vegetation improvement on the regional climate, such as the climate effect of sand-dust events reduction, has never been evaluated. Here, we estimated the feedback of temperature and precipitation on the change of sand-dust events, arising from the vegetation growth with ecological restoration, using a simple theoretical framework with a series of scenario simulations based on a regional climate model (RegCM). The results showed that revegetation reduced dust emissions, with a contribution rate of approximately 40.15%. With the combined influence of ecological restoration and climate change, the cooling effect of sand-dust events strengthened with the increase in the intensity of sand-dust events, which is mainly caused by the strong absorption of shortwave radiation by the atmosphere. The response of precipitation was uncertain because of tropospheric circulation feedback and shortwave radiation absorption. Our results also indicate that changes in sand-dust events caused by vegetation restoration play important roles in shaping the future climate near the arid and semi-arid regions of northern China. The climatic effects of sand-dust events should be included in assessing ecological restoration impacts to promote sustainable development and enhance our understanding of climate change.
Chaowei Zhou; XiaoMing Feng; Yichu Huang; Xiaofeng Wang; Xinrong Zhang. The Indirect Impact of Surface Vegetation Improvement on the Climate Response of Sand-Dust Events in Northern China. Atmosphere 2021, 12, 339 .
AMA StyleChaowei Zhou, XiaoMing Feng, Yichu Huang, Xiaofeng Wang, Xinrong Zhang. The Indirect Impact of Surface Vegetation Improvement on the Climate Response of Sand-Dust Events in Northern China. Atmosphere. 2021; 12 (3):339.
Chicago/Turabian StyleChaowei Zhou; XiaoMing Feng; Yichu Huang; Xiaofeng Wang; Xinrong Zhang. 2021. "The Indirect Impact of Surface Vegetation Improvement on the Climate Response of Sand-Dust Events in Northern China." Atmosphere 12, no. 3: 339.
Water resources are a basic need for social sustainable development and human existence. As an important national strategy for water resources security, spatial and temporal patterns and driving mechanisms of water yield ecosystem services on the Qingzang Plateau (QP) are critical for water resources management, optimal water allocation and the improvement of ecological water protection efficiency. However, only a few relevant studies are currently available. In this study, we simulated the water yield (WY) of the QP over 34 years, from 1982 to 2015, using the InVEST model and analyzed the spatiotemporal dynamic relationships between WY and climate change as well as between WY and vegetation change, using geographically weighted regression (GWR) models. The results showed that: 1) from 1982 to 2015, the WY of the QP increased at an average rate of 3.8 mm/yr; 2) WY presented a reduced spatial pattern from southeast to northwest; and 3) the WY driving factors have individual and spatial differences. In terms of the area percentage in promoting WY when analyzing each driving factor, precipitation (99.8%) and air pressure (53.3%) played the major roles in promoting WY, while temperature (71.9%), wind speed (57.2%), net primary productivity (87.2%), radiation (68.3%) and lake (87.7%) played negative roles. The areas where WY are dominated by temperature are the largest (41.1%), and followed by areas dominated by pressure (19.7%) and precipitation (18.5%). The results of this study provide scientific support for formulating regional water resources policy, social and economic development planning and other macro decisions for the QP.
Xiaofeng Wang; Bingyang Chu; XiaoMing Feng; Yuehao Li; Bojie Fu; Shirong Liu; Jiming Jin. Spatiotemporal variation and driving factors of water yield services on the Qingzang Plateau. Geography and Sustainability 2021, 2, 31 -39.
AMA StyleXiaofeng Wang, Bingyang Chu, XiaoMing Feng, Yuehao Li, Bojie Fu, Shirong Liu, Jiming Jin. Spatiotemporal variation and driving factors of water yield services on the Qingzang Plateau. Geography and Sustainability. 2021; 2 (1):31-39.
Chicago/Turabian StyleXiaofeng Wang; Bingyang Chu; XiaoMing Feng; Yuehao Li; Bojie Fu; Shirong Liu; Jiming Jin. 2021. "Spatiotemporal variation and driving factors of water yield services on the Qingzang Plateau." Geography and Sustainability 2, no. 1: 31-39.
Soil moisture is an important variable linking the atmosphere and terrestrial ecosystems. However, long-term satellite monitoring of surface soil moisture at the global scale needs improvement. In this study, we conducted data calibration and data fusion of 11 well-acknowledged microwave remote-sensing soil moisture products since 2003 through a neural network approach, with Soil Moisture Active Passive (SMAP) soil moisture data applied as the primary training target. The training efficiency was high (R2=0.95) due to the selection of nine quality impact factors of microwave soil moisture products and the complicated organizational structure of multiple neural networks (five rounds of iterative simulations, eight substeps, 67 independent neural networks, and more than 1 million localized subnetworks). Then, we developed the global remote-sensing-based surface soil moisture dataset (RSSSM) covering 2003–2018 at 0.1∘ resolution. The temporal resolution is approximately 10 d, meaning that three data records are obtained within a month, for days 1–10, 11–20, and from the 21st to the last day of that month. RSSSM is proven comparable to the in situ surface soil moisture measurements of the International Soil Moisture Network sites (overall R2 and RMSE values of 0.42 and 0.087 m3 m−3), while the overall R2 and RMSE values for the existing popular similar products are usually within the ranges of 0.31–0.41 and 0.095–0.142 m3 m−3), respectively. RSSSM generally presents advantages over other products in arid and relatively cold areas, which is probably because of the difficulty in simulating the impacts of thawing and transient precipitation on soil moisture, and during the growing seasons. Moreover, the persistent high quality during 2003–2018 as well as the complete spatial coverage ensure the applicability of RSSSM to studies on both the spatial and temporal patterns (e.g. long-term trend). RSSSM data suggest an increase in the global mean surface soil moisture. Moreover, without considering the deserts and rainforests, the surface soil moisture loss on consecutive rainless days is highest in summer over the low latitudes (30∘ S–30∘ N) but mostly in winter over the mid-latitudes (30–60∘ N, 30–60∘ S). Notably, the error propagation is well controlled with the extension of the simulation period to the past, indicating that the data fusion algorithm proposed here will be more meaningful in the future when more advanced microwave sensors become operational. RSSSM data can be accessed at https://doi.org/10.1594/PANGAEA.912597 (Chen, 2020).
Yongzhe Chen; XiaoMing Feng; Bojie Fu. An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018. Earth System Science Data 2021, 13, 1 -31.
AMA StyleYongzhe Chen, XiaoMing Feng, Bojie Fu. An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018. Earth System Science Data. 2021; 13 (1):1-31.
Chicago/Turabian StyleYongzhe Chen; XiaoMing Feng; Bojie Fu. 2021. "An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018." Earth System Science Data 13, no. 1: 1-31.
Fine monitoring of tree species is essential to supporting the urban forest management. Data acquired from unmanned aerial vehicles (UAVs) not only have very high spatiotemporal resolution, but also contain the vertical structure of trees which is important in the fine recognition of vegetation types. However, the research of combining multi-dimensional features in classification is still very limited. In our study, we extracted the spectral information, vegetation morphological parameters, texture information, and vegetation indexes based on UAV ultrahigh resolution images to build an object-oriented-based random forest (RF) classifier at the single tree scale. Establishing 6 classification scenarios that combines multiple data sources, multi-dimensional features, and multiple classification algorithms, our results show that: (1) UAV images can effectively detect surface fragments. The accuracy of RF classification based on UAV multiple features was high at 91.3 %, which was 20.5 % higher than the results by using high-resolution Baidu maps; (2) for mapping the tree species of urban forest, tree morphological characteristics, texture information, and vegetation indexes improved the classification accuracy by 2.9 %, 1.9 %, and 7.1 %, respectively, resulting in meaningful improvement of classification effects; and (3) the accuracy of RF classification based on UAV data was much higher than the maximum likelihood classification (MLC) results. Compared with the latter, the former can effectively avoid salt and pepper noise. The workflow of information extraction and urban forest classification based on UAV images in this paper yields high performance, which has important significance as a reference for future relevant research.
Xiaofeng Wang; Yi Wang; Chaowei Zhou; Lichang Yin; XiaoMing Feng. Urban forest monitoring based on multiple features at the single tree scale by UAV. Urban Forestry & Urban Greening 2020, 58, 126958 .
AMA StyleXiaofeng Wang, Yi Wang, Chaowei Zhou, Lichang Yin, XiaoMing Feng. Urban forest monitoring based on multiple features at the single tree scale by UAV. Urban Forestry & Urban Greening. 2020; 58 ():126958.
Chicago/Turabian StyleXiaofeng Wang; Yi Wang; Chaowei Zhou; Lichang Yin; XiaoMing Feng. 2020. "Urban forest monitoring based on multiple features at the single tree scale by UAV." Urban Forestry & Urban Greening 58, no. : 126958.
In response to the potential water conflict caused by climate change and increased population, an integrated water yield analysis from the perspective of the coupled human-natural system is clearly required. This paper conducted an integrated water yield analysis in the Yellow River basin (YRB), China, with applications for irrigated cropland water modeling and many field, statistical and satellite images. We found the following during 2000-2017: (1) The irrigation water consumption, rain-fed water consumption of cropland and rain-fed water consumption of natural ecosystems all increased significantly. (2) Ecological restoration caused a consequence of the 81.7 108 m3 water consumption transfer from cropland to natural ecosystems. (3) Water consumption variability was strongly related to irrigation expansion and ecological restoration, and this variability dominated the high water yield variability in the midstream YRB (95.73% ±0.5%). (4) The increased downstream human water use stress was mainly affected by increased downstream water use and upstream water yield change, with contribution ratios of 1.67 and -0.72, respectively. The study declares the intense relationship between ecological restoration, crop production and socioeconomic activities within the water-limited river basin. This research also highlights that synthetic river basin management is essential to balance the water demand between different sectors and between the upper stream and downstream sections of a basin.
Lichang Yin; XiaoMing Feng; Bojie Fu; Shuai Wang; Xiaofeng Wang; Yongzhe Chen; Fulu Tao; Jian Hu. A coupled human-natural system analysis of water yield in the Yellow River basin, China. Science of The Total Environment 2020, 762, 143141 .
AMA StyleLichang Yin, XiaoMing Feng, Bojie Fu, Shuai Wang, Xiaofeng Wang, Yongzhe Chen, Fulu Tao, Jian Hu. A coupled human-natural system analysis of water yield in the Yellow River basin, China. Science of The Total Environment. 2020; 762 ():143141.
Chicago/Turabian StyleLichang Yin; XiaoMing Feng; Bojie Fu; Shuai Wang; Xiaofeng Wang; Yongzhe Chen; Fulu Tao; Jian Hu. 2020. "A coupled human-natural system analysis of water yield in the Yellow River basin, China." Science of The Total Environment 762, no. : 143141.
Accurate evapotranspiration (ET) estimation is important in understanding the hydrological cycle and improving water resource management. The operational simplified surface energy balance (SSEBop) model can be set up quickly for the routine monitoring of ET. Several studies have suggested that the SSEBop model, which can simulate ET, has performed inconsistently across the United States. There are few detailed studies on the evaluation of ET simulated by SSEBop in other regions. To explore the potential and application scope of the SSEBop model, more evaluation of the ET simulated by SSEBop is clearly needed. We calculated the SSEBop-model-based ET (ETSSEBopYRB) with land surface temperature product of MOD11A2 and climate variables as inputs for the Yellow River Basin (YRB), China. We also compared the ETSSEBopYRB with eight coarse resolution ET products, including China ETMTE, produced using the upscaling energy flux method; China ETCR, which is generated using the non-linear complementary relationship model; three global products based on the Penman–Monteith logic (ETPMLv2, ETMODIS, and ETBESS), two global ET products based on the surface energy balance (ETSEBS, ETSSEBopGlo), and integrated ET products based on the Bayesian model averaging method (ETGLASS), using the annual ET data derived from the water balance method (WB-ET) for fourteen catchments. We found that ETSSEBopYRB and the other eight ET products were able to explain 23 to 52% of the variability in the water balance ET for fourteen small catchments in the YRB. ETSSEBopYRB had a better agreement with WB-ET than ETSEBS, ETMODIS, ETCR, and ETGLASS, with lower RMSE (88.3 mm yr−1 vs. 121.7 mm yr−1), higher R2 (0.49 vs. 0.43), and lower absolute RPE (−3.3% vs. –19.9%) values for the years 2003–2015. We also found that the uncertainties of the spatial patterns of the average annual ET values and the ET trends were still large for different ET products. Third, we found that the free global ET product derived from the SSEBop model (ETSSEBopGlo) highly underestimated the annual total ET trend for the YRB. The poor performance of the land surface temperature product of MOD11A2 in 2015 caused the large ETSSEBopYRB uncertainty at eight-day and monthly scales. Further evaluation of ET based on the SSEBop model for site measurements is needed.
Lichang Yin; Xiaofeng Wang; XiaoMing Feng; Bojie Fu; Yongzhe Chen. A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China. Remote Sensing 2020, 12, 2528 .
AMA StyleLichang Yin, Xiaofeng Wang, XiaoMing Feng, Bojie Fu, Yongzhe Chen. A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China. Remote Sensing. 2020; 12 (16):2528.
Chicago/Turabian StyleLichang Yin; Xiaofeng Wang; XiaoMing Feng; Bojie Fu; Yongzhe Chen. 2020. "A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China." Remote Sensing 12, no. 16: 2528.
Recent global changes in terrestrial water storage (TWS) and associated freshwater availability raise major concerns about the sustainability of global water resources. However, our knowledge regarding the long-term trends in TWS and its components is still not well documented. In this study, we characterize the spatiotemporal variations in TWS and its components over the Asian and eastern European regions from April 2002 to June 2017 based on Gravity Recovery and Climate Experiment (GRACE) satellite observations, land surface model simulations, and precipitation observations. The connections of TWS and global major teleconnections (TCs) are also discussed. The results indicate a widespread decline in TWS during 2002–2017, and five hotspots of TWS negative trends were identified with trends between −8.94 and −21.79 mm yr−1. TWS partitioning suggests that these negative trends are primarily attributed to the intensive over-extraction of groundwater and warmth-induced surface water loss, but the contributions of each hydrological component vary among hotspots. The results also indicate that the El Niño–Southern Oscillation, Arctic Oscillation and North Atlantic Oscillation are the three largest dominant factors controlling the variations in TWS through the covariability effect on climate variables. However, seasonal results suggest a divergent response of hydrological components to TCs among seasons and hotspots. Our findings provide insights into changes in TWS and its components over the Asian and eastern European regions, where there is a growing demand for food grains and water supplies.
Xianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. Widespread decline in terrestrial water storage and its link to teleconnections across Asia and eastern Europe. Hydrology and Earth System Sciences 2020, 24, 3663 -3676.
AMA StyleXianfeng Liu, XiaoMing Feng, Philippe Ciais, Bojie Fu. Widespread decline in terrestrial water storage and its link to teleconnections across Asia and eastern Europe. Hydrology and Earth System Sciences. 2020; 24 (7):3663-3676.
Chicago/Turabian StyleXianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. 2020. "Widespread decline in terrestrial water storage and its link to teleconnections across Asia and eastern Europe." Hydrology and Earth System Sciences 24, no. 7: 3663-3676.
Quantifying and mapping regional and global irrigation water consumption have attracted considerable attention from researchers. The existing models cannot accurately estimate the long-term sequence of irrigation water consumption at the regional scale. Despite being among the countries with the largest irrigated areas, China has not been specifically evaluated in terms of high-resolution long-term irrigation water consumption. In this paper, an irrigated cropland water model incorporating irrigated cropland mapping, the soil water balance equation, irrigated crop phenology, and partitioning evapotranspiration products was developed to fill the knowledge gap. We found that (1) the mean annual total irrigation water consumption of irrigated cropland in China during 1982–2015 was approximately 179.43 ± 24.60 km3. (2) The continued expansion of irrigated farmland dominated (67.2% ± 5.6%) the significant increase in annual total irrigation water consumption (slope=2.03 km3 yr−1, p<0.01), followed by changes in crop management practices (16.7% ± 6.1%), and the impacts of interannual climatic variability (represented by precipitation and potential evapotranspiration in this research) were weak. (3) The annual total irrigation water consumption in the arid zone increased quicker than that in wet regions.
Lichang Yin; XiaoMing Feng; Bojie Fu; Yongzhe Chen; Xiaofeng Wang; Fulu Tao. Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015. Advances in Water Resources 2020, 143, 103661 .
AMA StyleLichang Yin, XiaoMing Feng, Bojie Fu, Yongzhe Chen, Xiaofeng Wang, Fulu Tao. Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015. Advances in Water Resources. 2020; 143 ():103661.
Chicago/Turabian StyleLichang Yin; XiaoMing Feng; Bojie Fu; Yongzhe Chen; Xiaofeng Wang; Fulu Tao. 2020. "Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015." Advances in Water Resources 143, no. : 103661.
The frequency of recurrence of drought has major societal, economical, and environmental impacts. However, our ability to capture drought conditions accurately are limited due to the uncertainties in current drought indices. In the present study, we proposed a Gravity Recovery and Climate Experiment (GRACE) total water storage (TWS) based drought severity index (DSI) using the detrended GRACE-TWS time series, to eliminate the effect of non-climatic factors on drought estimation and reflect true drought conditions. Based on the improved GRACE-DSI, we characterized the drought conditions over major basins in China during 2002–2017. Our results indicate that the improved GRACE-DSI can reasonably capture the drought process compared to existing non-detrended GRACE-based drought indices. The observed behavior of GRACE-DSI time series agrees reasonably well with the Palmer drought severity index, standardized precipitation index, and standardized runoff index, although differences exist due to intrinsic differences in the indicators of drought. Spatially, the Yellow River Basin, Huai River Basin, Hai River Basin, Southwest River Basin, and Continental River Basin share a similar pattern with droughts prevailing after 2013, and with both increases in duration and severity of the drought episodes. Moreover, pixel-based drought assessment also suggests an increasing trend in drought frequency in most basins in China during the GRACE era, with a prominent drought event in the Southwest River Basin beginning in April 2015 and ending in May 2016, with a severity of -25.38 and affecting 39.47 % of the total basin area. Our analyses demonstrate that the proposed GRACE-DSI can serve as a useful tool for integrated drought monitoring and provide a better understanding of drought conditions in major basins in China during 2002–2017.
Xianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu; Baoyi Hu; Zhangli Sun. GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002–2017. Agricultural and Forest Meteorology 2020, 291, 108057 .
AMA StyleXianfeng Liu, XiaoMing Feng, Philippe Ciais, Bojie Fu, Baoyi Hu, Zhangli Sun. GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002–2017. Agricultural and Forest Meteorology. 2020; 291 ():108057.
Chicago/Turabian StyleXianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu; Baoyi Hu; Zhangli Sun. 2020. "GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002–2017." Agricultural and Forest Meteorology 291, no. : 108057.
Drylands account for 41% of the world’s terrestrial surface, affect more than two billion people, and play a crucial role in global circulation and even global climate change. Therefore, the investigation of agricultural expansion and land degradation regions is a critical part of understanding the human-land coupling systems in dryland ecosystems. The specific distributions of agricultural expansion or land degradation in arid areas were obtained by using three indicators of global Vegetation Continuous Fields (VCF) data, in which expanding agriculture is usually characterized by tree canopy (TC) loss and short vegetation (SV) gain, while land degradation is characterized by a decrease in short vegetation and an increase in bare ground (BG). Assessing the partial correlation of natural or socioeconomic factors and indicators of agricultural expansion or land degradation while the structural equation model was established, we found that (1) the vegetation situation in the global arid region is relatively stable, and the normalized difference vegetation index (NDVI) value in the Asian arid region is increasing annually; (2) precipitation in the global arid region has a highly positive correlation with TC and a highly negative correlation with BG, while temperature is strongly correlated with SV except in arid areas; (3) both agricultural expansion and land degradation regions are dominated by natural factors, especially temperature; and (4) the control of socioeconomic factors is not closely related to the original land use/cover types in dryland regions.
Xuejing Leng; XiaoMing Feng; Bojie Fu. Driving forces of agricultural expansion and land degradation indicated by Vegetation Continuous Fields (VCF) data in drylands from 2000 to 2015. Global Ecology and Conservation 2020, 23, e01087 .
AMA StyleXuejing Leng, XiaoMing Feng, Bojie Fu. Driving forces of agricultural expansion and land degradation indicated by Vegetation Continuous Fields (VCF) data in drylands from 2000 to 2015. Global Ecology and Conservation. 2020; 23 ():e01087.
Chicago/Turabian StyleXuejing Leng; XiaoMing Feng; Bojie Fu. 2020. "Driving forces of agricultural expansion and land degradation indicated by Vegetation Continuous Fields (VCF) data in drylands from 2000 to 2015." Global Ecology and Conservation 23, no. : e01087.
Various payment for ecosystem services (PES) programmes are becoming very common across the globe due to ever-strengthening conservation policies and aspirations for socio-ecological sustainability. Nevertheless, quantifying the performance of PES at large spatial scales remains very challenging. Here, a biophysically-based indicator approach is formulated to assess the effectiveness of a new large-scale PES program in China. Structural equation modelling was also used to reveal the possible landscape features that might impact the effectiveness of the PES. The results suggested the overall effectiveness of the PES implementation, but the effectiveness suggested by the analysis tended to decrease with increasingly fine spatial scales from the whole PES implementing region down to 100 km2 grids. The selected landscape features combined to explain 27% of the variability in the effectiveness of the PES programme. The spatial scale and landscape dependency of the effectiveness of PES could provide new insight to support the planning and adaptive management of large PES programmes.
Yihe Lü; Ting Li; Charlotte Whitham; XiaoMing Feng; Bojie Fu; Yuan Zeng; Bingfang Wu; Jian Hu. Scale and landscape features matter for understanding the performance of large payments for ecosystem services. Landscape and Urban Planning 2020, 197, 103764 .
AMA StyleYihe Lü, Ting Li, Charlotte Whitham, XiaoMing Feng, Bojie Fu, Yuan Zeng, Bingfang Wu, Jian Hu. Scale and landscape features matter for understanding the performance of large payments for ecosystem services. Landscape and Urban Planning. 2020; 197 ():103764.
Chicago/Turabian StyleYihe Lü; Ting Li; Charlotte Whitham; XiaoMing Feng; Bojie Fu; Yuan Zeng; Bingfang Wu; Jian Hu. 2020. "Scale and landscape features matter for understanding the performance of large payments for ecosystem services." Landscape and Urban Planning 197, no. : 103764.
Ecosystem water use efficiency (WUE), defined as the ratio between gross primary productivity (GPP) and evapotranspiration (ET), is an indicator of the tradeoff between carbon assimilation and water loss that is controlled by climate and ecosystem structure. However, how GPP and ET impact WUE remains poorly understood. In this study, we provide a global analysis of WUE trends from 1982 to 2011 using multi-model ensemble mean WUE values derived from seven process-based carbon cycle models and investigate the relative effects of leaf area index (LAI), soil moisture (SM), and vapor pressure deficit (VPD) on GPP and ET. Increasing WUE trend was derived for all models, with an average rate of 0.0057 ± 0.0018 g C·kg−1 H2O·yr−1 (p = 0.00), with a spatially increasing WUE across ~84% of the global land area, and increasing trends which are statistically significant over ~72% (p < 0.05). Spatially, GPP primarily dominated WUE variability in humid regions, i.e., boreal Eurasia, eastern America, and the tropics, whereas ET dominated WUE variability in dryland regions, i.e., northeast China, the Middle East, southern South America, and South Australia. Soil moisture is likely the most influential factor on GPP and ET variations, with ~63% and ~61% of the global land area dominated by SM, and therefore WUE, for GPP and ET respectively from 1982 to 2011. Our findings enrich the understanding of WUE trends and provide direct evidence for SM-induced variability in WUE.
Xianfeng Liu; XiaoMing Feng; Bojie Fu. Changes in global terrestrial ecosystem water use efficiency are closely related to soil moisture. Science of The Total Environment 2019, 698, 134165 .
AMA StyleXianfeng Liu, XiaoMing Feng, Bojie Fu. Changes in global terrestrial ecosystem water use efficiency are closely related to soil moisture. Science of The Total Environment. 2019; 698 ():134165.
Chicago/Turabian StyleXianfeng Liu; XiaoMing Feng; Bojie Fu. 2019. "Changes in global terrestrial ecosystem water use efficiency are closely related to soil moisture." Science of The Total Environment 698, no. : 134165.
Xianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. Supplementary material to "Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe". 2019, 1 .
AMA StyleXianfeng Liu, XiaoMing Feng, Philippe Ciais, Bojie Fu. Supplementary material to "Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe". . 2019; ():1.
Chicago/Turabian StyleXianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. 2019. "Supplementary material to "Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe"." , no. : 1.
Recent global changes in terrestrial water storage (TWS) and associated freshwater availability raise major concerns over the sustainability of global water resources. However, our knowledge regarding the long-term trend in TWS and its components is still not well documented. In this work, we characterize the spatiotemporal variations in TWS and its components over the Asian and Eastern European regions during the period of April 2002 to June 2017 using multiple sources of data, including Gravity Recovery and Climate Experiment (GRACE) satellite observations, land surface model simulations and precipitation observations. The connections of TWS and global major teleconnections (TCs) are also discussed. The results indicate a widespread decline in TWS during 2002–2017, and five hotspots of TWS negative trends were identified with trends between −8.94 mm yr−1 and −21.79 mm yr−1. TWS partitioning suggests that these negative trends are primarily attributed to the intensive overextraction of groundwater and warm-induced surface water loss, but the contributions of each hydrological component vary among hotspots. The results also indicate that the El Niño-Southern Oscillation, Arctic Oscillation and North Atlantic Oscillation are the three largest, dominant factors controlling the variations in TWS through the covariability effect on climate variables. However, seasonal results suggest a divergent response of hydrological components to TCs among seasons and hotspots. Our findings provide insights into changes in TWS and its components over the Asian and Eastern European regions, where there is a growing demand for food grains and water supplies.
Xianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe. 2019, 1 .
AMA StyleXianfeng Liu, XiaoMing Feng, Philippe Ciais, Bojie Fu. Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe. . 2019; ():1.
Chicago/Turabian StyleXianfeng Liu; XiaoMing Feng; Philippe Ciais; Bojie Fu. 2019. "Widespread Decline in Terrestrial Water Storage and Its Link to Teleconnections across Asia and Eastern Europe." , no. : 1.
Soil erosion represents a major environmental threat to ecosystems. Effective sediment trapping relies on the cooperation of multiple soil erosion control measures. However, findings on the synergistic effects of multiple soil erosion control measures are still lacking, in particular on a large spatial scale. This study provides a first attempt to analyze four decades of data from the 1980s to the 2010s on the Loess Plateau. The analysis combines the spatial investigation of check‐dam construction in gullies, afforestation on hillslopes and station‐observed sediment yield within the evaluation framework of the Water and Tillage Erosion Model/Sediment Delivery Model (WATEM/SEDEM). The results indicate two periods of effective sediment trapping on the Loess Plateau in the last four decades: 1980s‐1990s and 2000s‐2010s. Check‐dam construction was the main driver of reduced sediment yields before the 1990s. Massive afforestation played an increasingly important role beginning in 1999. The synergistic effects of afforestation and the construction of check‐dams in the period from the 2000s to the 2010s not only include the effective trapping of sediment but also improvements in the resistance of ecosystems to climate change. These results improve our understanding of the synergistic effects of multiple soil erosion control measures on sediment trapping. The findings support a rational collocation of different soil erosion control measures to support comprehensive management in erosion‐prone regions.
Jiaxing Li; Qinglong Liu; XiaoMing Feng; Weiyue Shi; Bojie Fu; Yihe Lü; Yu Liu. The synergistic effects of afforestation and the construction of check‐dams on sediment trapping: Four decades of evolution on the Loess Plateau, China. Land Degradation & Development 2018, 30, 622 -635.
AMA StyleJiaxing Li, Qinglong Liu, XiaoMing Feng, Weiyue Shi, Bojie Fu, Yihe Lü, Yu Liu. The synergistic effects of afforestation and the construction of check‐dams on sediment trapping: Four decades of evolution on the Loess Plateau, China. Land Degradation & Development. 2018; 30 (6):622-635.
Chicago/Turabian StyleJiaxing Li; Qinglong Liu; XiaoMing Feng; Weiyue Shi; Bojie Fu; Yihe Lü; Yu Liu. 2018. "The synergistic effects of afforestation and the construction of check‐dams on sediment trapping: Four decades of evolution on the Loess Plateau, China." Land Degradation & Development 30, no. 6: 622-635.
Droughts are some of the worst natural disasters that bring significant water shortages, economic losses, and adverse social consequences. Gravity Recovery and Climate Experiment (GRACE) satellite data are widely used to characterize and evaluate droughts. In this work, we evaluate drought situations in the Yangtze River Basin (YRB) using the GRACE Texas Center for Space Research (CSR) mascon (mass concentration) data from 2003 to 2015. Drought events are identified by water storage deficits (WSDs) derived from GRACE data, while the drought severity evaluation is based on the water storage deficit index (WSDI), standardized WSD time series, and total water storage deficit (TWSD). The WSDI is subsequently compared with the Palmer drought severity index (PDSI), standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), and standardized runoff index (SRI). The results indicate the YRB experienced increased wetness during the study period, with WSD values increasing at a rate of 5.20mm/year. Eight drought events are identified, and three major droughts occurred in 2004, 2006, and 2011, with WSDIs of -2.05, -2.38, and -1.30 and TWSDs of -620.96mm, -616.81mm, and -192.44mm, respectively. Our findings suggest that GRACE CSR mascon data can be used effectively to assess drought features in the YRB and that the WSDI facilitates robust and reliable characterization of droughts over large-scale areas.
Zhangli Sun; Xiufang Zhu; Yaozhong Pan; Jinshui Zhang; Xianfeng Liu. Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China. Science of The Total Environment 2018, 634, 727 -738.
AMA StyleZhangli Sun, Xiufang Zhu, Yaozhong Pan, Jinshui Zhang, Xianfeng Liu. Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China. Science of The Total Environment. 2018; 634 ():727-738.
Chicago/Turabian StyleZhangli Sun; Xiufang Zhu; Yaozhong Pan; Jinshui Zhang; Xianfeng Liu. 2018. "Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China." Science of The Total Environment 634, no. : 727-738.
Global vegetation dynamics are of critical importance for understanding changes in ecosystem structure and functioning and their responses to different natural and anthropogenic drivers. Under the background of rapid global warming, it is still unclear whether there were significant changes in the extent and intensity of global vegetation browning during the past three decades. Taking satellite-derived normalized difference vegetation index (NDVI) as the proxy of vegetation growth, we investigated spatiotemporal variances in global vegetation trends during the period 1982–2013 using the ensemble empirical mode decomposition (EEMD) method and two piecewise linear regression models. Our study suggests that increasing global vegetation browning is masked by overall vegetation greening. A >60% increase in browning area was found during the study period, and the results consistently indicate that the expansion of browning trends has accelerated since 1994. After the late 1990s, browning trends increased in all latitudinal bands in the Northern Hemisphere. This increase was particularly pronounced in the northern mid-low latitudes, where the greening trends stalled or even reversed. Areas with browning trends increased in all land cover types, although the increase processes varied substantially. During 1982–2013, although most vegetated lands exhibited overall greening trends, greening-to-browning reversals occurred on all continents and occupied a much larger area than browning-to-greening reversals. Greening trends prevailed before the turning points, and browning trends largely expanded and enhanced thereafter. The increased browning trends resulted in a slowdown of the increase in global mean NDVI since the early 1990s. Since drought is likely the main cause of the increasing browning trends, global vegetation growth is at risk of reversal from long-term greening to long-term browning in the warmer future.
Naiqing Pan; XiaoMing Feng; Bojie Fu; Shuai Wang; Fei Ji; Shufen Pan. Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends. Remote Sensing of Environment 2018, 214, 59 -72.
AMA StyleNaiqing Pan, XiaoMing Feng, Bojie Fu, Shuai Wang, Fei Ji, Shufen Pan. Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends. Remote Sensing of Environment. 2018; 214 ():59-72.
Chicago/Turabian StyleNaiqing Pan; XiaoMing Feng; Bojie Fu; Shuai Wang; Fei Ji; Shufen Pan. 2018. "Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends." Remote Sensing of Environment 214, no. : 59-72.
The frequency and intensity of drought are increasing dramatically with global warming. However, few studies have characterized drought in terms of its impacts on ecosystem services, the mechanisms through which ecosystems support life. As a result, little is known about the implications of increased drought for resource management. This case study characterizes drought by linking climate anomalies with changes in the precipitation–runoff relationship (PRR) on the Loess Plateau of China, a water-limited region where ongoing revegetation makes drought a major concern. We analyzed drought events with drought durations ≥ 5 years and mean annual precipitation anomaly (PA) values ≤ −5 % during drought periods. The results show that continuous precipitation shifts are able to change the water balance of watersheds in water-limited areas, and multi-year drought events cause the PRR to change with a significantly decreasing trend (p < 0.05) compared to other historical records. For the Loess Plateau as a whole, the average runoff ratio decreased from 10 to 6.8 % during 1991–1999. The joint probability and return period gradually increase with increasing of drought duration and severity. The ecosystem service of water yield is easily affected by drought events with durations equal to or greater than 6 years and drought severity values equal to or greater than 0.55 (precipitation ≤ 212 mm). At the same time, multi-year drought events also lead to significant changes in the leaf area index (LAI). Such studies are essential for ecosystem management in water-limited areas.
Yuan Zhang; XiaoMing Feng; Xiaofeng Wang; Bojie Fu. Characterizing drought in terms of changes in the precipitation–runoff relationship: a case study of the Loess Plateau, China. Hydrology and Earth System Sciences 2018, 22, 1749 -1766.
AMA StyleYuan Zhang, XiaoMing Feng, Xiaofeng Wang, Bojie Fu. Characterizing drought in terms of changes in the precipitation–runoff relationship: a case study of the Loess Plateau, China. Hydrology and Earth System Sciences. 2018; 22 (3):1749-1766.
Chicago/Turabian StyleYuan Zhang; XiaoMing Feng; Xiaofeng Wang; Bojie Fu. 2018. "Characterizing drought in terms of changes in the precipitation–runoff relationship: a case study of the Loess Plateau, China." Hydrology and Earth System Sciences 22, no. 3: 1749-1766.
The frequency and intensity of drought is increasing dramatically with global warming. Yet, few studies have characterized drought from its impact on the ecosystem services, the mechanisms through which ecosystems support life. As a result, little is known about the implications of increased drought on resource management. This case study characterizes drought by linking climate anomaly with the change in precipitation-runoff relationships, in the Loess Plateau of China, a water-limited region where re-vegetation in the area makes drought a major concern. We analyze droughts with duration greater than 5 years and annual precipitation anomalies more negative than −5 %, we found that continuous precipitation shifts is able to change watershed water balance in the water limited area, multi-year drought caused the precipitation-runoff relationship to change with a significantly descending trend (p
Yuan Zhang; XiaoMing Feng; Xiaofeng Wang; Bojie Fu. Characterizing drought by change in precipitation-runoff relationship: a case study of the Loess Plateau, China. 2017, 22, 1749 -1766.
AMA StyleYuan Zhang, XiaoMing Feng, Xiaofeng Wang, Bojie Fu. Characterizing drought by change in precipitation-runoff relationship: a case study of the Loess Plateau, China. . 2017; 22 (3):1749-1766.
Chicago/Turabian StyleYuan Zhang; XiaoMing Feng; Xiaofeng Wang; Bojie Fu. 2017. "Characterizing drought by change in precipitation-runoff relationship: a case study of the Loess Plateau, China." 22, no. 3: 1749-1766.