Article
Agronomy
Wei Wan, Zhong Liu, Jiahui Li, Jianing Xu, Hanqing Wu, Zhaohui Xu
Summary: In this study, the drought stress of maize in the Northeast China Plain (NECP) and North China Plain (NCP) over the past 20 years was evaluated using remote sensing data and meteorological data. A conceptual model was established to analyze the response of maize biomass to drought stress. The findings provide new insights for preventing drought stress risk and improving maize yield on a large scale.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Liangliang Tao, Dongryeol Ryu, Andrew Western, Dale Boyd
Summary: A new drought index, the condition vegetation drought index (CVDI), was proposed for monitoring temporal and spatial variations of soil moisture status, outperforming TVDI and MPDI; validated through in situ observations, CVDI showed superior performance in soil moisture monitoring and more accurate spatial and seasonal variation compared to MPDI and TVDI.
Article
Geosciences, Multidisciplinary
Kishan Singh Rawat, Vinay Kumar Sehgal, Sudhir Kumar Singh, Shibendu S. Ray
Summary: Soil moisture estimation is crucial for high agriculture yield. In this study, a triangular network method based on MODIS products and TVDI index were used to estimate soil moisture. The results showed a high negative correlation between TVDI and in-situ soil moisture, suggesting the potential application of TVDI and satellite data for soil moisture mapping.
PHYSICS AND CHEMISTRY OF THE EARTH
(2022)
Article
Environmental Sciences
Lin Ji, Yongfeng Wu, Juncheng Ma, Chenxi Song, Zhicheng Zhu, Aiping Zhao
Summary: This study analyzed the spatio-temporal variations of spring maize in Northeast China from 2002 to 2020 using remote sensing indexes and a decision tree classification. The results showed that the influence of mixed pixels on the study of spring maize was limited and the overall accuracy of verifying the distribution was above 85%. The stable, fluctuating, and low-frequency planting areas of spring maize accounted for different proportions in the study area. The planting area exhibited changes and reductions in response to a government-directed reduction in 2015 and optimization and recovery after that.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Lina Yuan, Long Li, Ting Zhang, Longqian Chen, Jianlin Zhao, Weiqiang Liu, Liang Cheng, Sai Hu, Longhua Yang, Mingxin Wen
Summary: This study proposed a new method, Criterion 2, to enhance the accuracy of relative soil moisture estimation through optimization of normalized difference vegetation index (NDVI) thresholds. Results showed that the improved RSM estimation with Criterion 2 had higher accuracy and wider spatiotemporal coverage compared to Criterion 1.
Article
Environmental Sciences
Linjing Qiu, Yuting Chen, Yiping Wu, Qingyue Xue, Zhaoyang Shi, Xiaohui Lei, Weihong Liao, Fubo Zhao, Wenke Wang
Summary: The study found that there was a significant increase in leaf area index (LAI) and evapotranspiration across most regions of the Loess Plateau, but a decrease in the evaporative stress index (ESI) overall. This decrease in ESI was mainly attributed to the increase in LAI rather than climatic influences. Additionally, soil moisture storage showed an increasing trend in the central and eastern parts of the plateau.
Article
Plant Sciences
Hui Kong, Dan Wu
Summary: The study found a good consistency between the Vegetation Water Supply Index (VSWI) calculated by the Enhanced Vegetation Index (EVI) and soil moisture at 15cm depth (SM) in apple growth, and different sensitivities of remote sensing indexes to soil moisture in different growth stages.
BANGLADESH JOURNAL OF BOTANY
(2021)
Article
Environmental Sciences
Xupeng Sun, Peiyu Lai, Shujing Wang, Lisheng Song, Mingguo Ma, Xujun Han
Summary: In this study, extreme drought events in southwest China were analyzed using the GLDAS root zone soil moisture data set. A Standardized Soil Moisture Drought Index (SSMI) was calculated to quantitatively define and describe the duration, frequency, and severity of drought events in the region. The results showed an apparent upward trend in the frequency and intensity of drought before 2014, followed by a downward trend since 2014. The study also compared the performance of SSMI with other commonly used drought indices, and found that SSMI is more sensitive to drought in southwest China. Furthermore, the GLDAS soil moisture data proved to be useful in studying drought at a small regional scale.
Article
Agronomy
Ali Akbarzadeh, Ali Shahnazari, Mirkhalegh Ziatabar Ahmadi, Mohammad Akbarzadeh
Summary: This study investigated the effects of varying irrigation volume and placement on drip-irrigated peppermint. Results showed that moderate water deficit did not negatively affect the growth of peppermint, but significantly increased essential oil yield and ratio. Therefore, it is recommended to apply moderate water deficit with PRD70 and PRD55 techniques for significant water-saving and reasonable yield.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Environmental Sciences
Oldrich Rakovec, Luis Samaniego, Vittal Hari, Yannis Markonis, Vojtech Moravec, Stephan Thober, Martin Hanel, Rohini Kumar
Summary: This study provides a comprehensive assessment of drought hazard in Europe from 2018 to 2020 by comparing it to past exceptional events. The 2018-2020 drought event is identified as unprecedented, with a large coverage area and long duration. The study also highlights the impact of global warming on drought events and predicts that Europe should be prepared for even more severe and longer-lasting drought events in the future.
Article
Environmental Sciences
Fujie Zhao, Guojie Wang, Shijie Li, Daniel Fiifi Tawia Hagan, Waheed Ullah
Summary: Understanding the combined effects of heat and water stress on maize yield is crucial for food security in China. This study used historical and future climate data to predict the impact of vapor pressure deficit (VPD) and root-zone soil moisture on maize yield. The results showed that both VPD and soil moisture are representative indicators of heat and moisture stress on maize. Considering soil moisture in future projections significantly reduced the overestimated yield loss compared to only considering atmospheric moisture requirements. The findings emphasize the importance of considering both atmospheric moisture demand and supply in analyzing the effects of climate change on crop yield.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Ecology
Zhonglin Ji, Yaozhong Pan, Nan Li
Summary: This study utilized a combination of remote sensing and meteorological data to dynamically predict winter wheat yield at fixed date intervals using an integral regression model. The integration of TVDI and meteorological data proved to be more accurate in predicting crop yield, especially in semi-humid and arid regions. The findings suggest that integrating TVDI and meteorology can effectively improve yield prediction accuracy at the county level, particularly in arid regions.
ECOLOGICAL MODELLING
(2021)
Article
Engineering, Civil
Chengyun Wang, Jie Chen, Lei Gu, Guiyang Wu, Shanlin Tong, Lihua Xiong, Chong-Yu Xu
Summary: Soil moisture drought is influenced by both water supply and demand. Previous studies have used statistical multiple linear regression, machine learning, and modeling experiments to understand the mechanisms driving soil moisture drought, but these methods fail to consider the collinearity and interactions of climate variables. This study used a path analysis method to quantify the contributions of key drivers to soil moisture drought and revealed the relationships between atmospheric movement state and soil moisture drought. The results showed that precipitation deficits had a dominant effect on interannual variation of soil moisture drought, while increasing potential evapotranspiration only marginally intensified drought. The interactions among precipitation, potential evapotranspiration, and atmospheric vapor movement state were important for understanding drought development mechanisms.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Qiang Chen, Xingyi Zhang, Li Sun, Jianhua Ren, Yaru Yuan, Shuying Zang
Summary: In the study of tillage practices in the Mollisols region of Northeast China, it was found that strip tillage (ST) has similar soil properties to no tillage (NT), with strip tillage between rows (BR) showing better soil quality and higher organic carbon content at a depth of 0-20 cm compared to NT. Additionally, strip tillage has advantages in improving soil conditions of seedbed.
Article
Environmental Sciences
Nitu Ojha, Olivier Merlin, Christophe Suere, Maria Jose Escorihuela
Summary: DISPATCH is a disaggregation algorithm providing high-resolution soil moisture data by using soil evaporative efficiency estimated from optical/thermal data. This study extends the spatio-temporal coverage of DISPATCH by including densely vegetated areas and evaluating the usefulness of morning thermal data. The use of TVDI within DISPATCH increases the coverage and improves the correlation between satellite and in situ SM data.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Agronomy
Wei Wan, Yiwen Han, Hanqing Wu, Fan Liu, Zhong Liu
Summary: This study examined the influence of fertilizer application rates and land use types on agricultural non-point source pollution (ANPSP) risks in apple orchard-dominated landscapes in the Qixia region of northern China. Two fertilization scenarios were simulated to reduce ANPSP risks, resulting in significant reductions in high-risk areas and increases in low-risk areas. Additionally, the results demonstrated the effectiveness of the source-sink landscape method in assessing ANPSP at both regional and global scales.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Wei Wan, Zhong Liu, Jiahui Li, Jianing Xu, Hanqing Wu, Zhaohui Xu
Summary: In this study, the drought stress of maize in the Northeast China Plain (NECP) and North China Plain (NCP) over the past 20 years was evaluated using remote sensing data and meteorological data. A conceptual model was established to analyze the response of maize biomass to drought stress. The findings provide new insights for preventing drought stress risk and improving maize yield on a large scale.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Soil Science
Wei Wan, Zhong Liu, Baoguo Li, Haiyan Fang, Hanqing Wu, Haoyu Yang
Summary: This study verified the feasibility of improving the C-factor of croplands in areas where cropland is the dominant land-use type. Moreover, our method will contribute to the use of RUSLE with higher precision in other regional-scale soil erosion assessments worldwide.
SOIL & TILLAGE RESEARCH
(2022)
Article
Soil Science
Hanqing Wu, Sichen Wan, Chujin Ruan, Xinyao Niu, Guowei Chen, Ying Liu, Kun Zhu, Rainer Schulin, Gang Wang
Summary: Phage-bacterium interactions play a crucial role in soil microbial life and ecological functions, such as microbial evolution, community patterns, and nutrient cycling. This study investigated how a soil phage manipulates bacterial lysis and its impact on C and N dynamics using a laboratory incubation microcosm model system. The results showed that phage-induced bacterial lysis significantly increased the necromass C and N contents, which was correlated to nutrient conditions.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Hanqing Wu, Liyuan Zhang, Jindong Lv, Yuling Zhang, Yulong Zhang, Na Yu
Summary: Soil nitrogen retention capacity plays a crucial role in crop production, soil health, and environmental quality in greenhouse agroecosystems. This study conducted a three-year tomato field experiment to investigate the effects of different irrigation and nitrogen fertilization regimes on soil organic nitrogen fractions and soil-retained nitrogen pools. The results showed that irrigation, nitrogen fertilization, and their interactions had significant effects on soil properties, organic nitrogen fractions, and soil-retained nitrogen pools in greenhouse vegetable soils.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Review
Ecology
Hanqing Wu, Sichen Wan, Chujin Ruan, Wei Wan, Miao Han, Guowei Chen, Ying Liu, Kun Zhu, Chao Liang, Gang Wang
Summary: Soil physical and biogeochemical processes play a crucial role in regulating soil microbial necromass (SMN) patterns. The SMN contributes to the formation of soil organic matters (SOM) and subsequent stabilization and cycling of soil nutrients. This study reviews the latest research on SMN and its impacts on soil ecosystem functions and services, and suggests future research perspectives on the linkage between SMN and SOM dynamics. The analysis reveals a rapid growth in SMN-related publications, particularly in the past three years. The study emphasizes the need for mechanistic modeling, spectromicroscopic, and molecular biology techniques to further understand the dynamics of SMN and SOM turnover for sustainable agriculture development and ecosystem services.
EUROPEAN JOURNAL OF SOIL BIOLOGY
(2023)
Article
Environmental Sciences
Mingming Sun, Rong Yang, Yixin Tang, Dan Xiao, Wei Zhang, Zhihong Xu, Zhihua Shi, Peilei Hu, Hanqing Wu, Kelin Wang
Summary: Changes in climate and land use can disrupt the soil carbon, nitrogen, and phosphorus cycles, affecting the availability of essential nutrients differently. The impact of lithology on soil C:N:P stoichiometry across a climatic gradient remains largely unknown. This study aimed to determine the variation in nutrient limitations between karst and non-karst forests and croplands.
JOURNAL OF SOILS AND SEDIMENTS
(2023)
Article
Biodiversity Conservation
Bofu Zheng, Jiang Wang, Shuyang Wu, Hanqing Wu, Zeyang Xie, Wei Wan
Summary: This study extracted rice planting areas in China from 2000 to 2021 using satellite remote sensing data, determined the rice growth period based on vegetation index, and calculated the cumulative biomass using a modeling approach. The driving mechanisms and relationships among factors affecting rice biomass were analyzed using regression and structural equation models. The results showed significant increases in net primary productivity (NPP) accumulation during the rice growth period in Northeast China, the middle and lower reaches of the Yangtze River, and Northwest China, while significant decreases were observed in Huang-Huai-Hai, South China, and Southwest China. Precipitation, temperature, and evapotranspiration were identified as the most influential meteorological factors affecting rice biomass in the major agricultural regions of China.
ECOLOGICAL INDICATORS
(2023)
Article
Forestry
Xu Song, Bofu Zheng, Fangqing Hu, Liliang Xu, Hanqing Wu, Zhong Liu, Wei Wan
Summary: Studying the main climatic controls of productivity differences in different forest ecosystems is important for understanding carbon cycle changes in terrestrial ecosystems. In this study, the dynamic changes in net primary productivity (NPP) of four typical forest types in the Poyang Lake Basin were simulated, and the correlation between NPP and climate factors was examined. The results showed that NPP was primarily driven by precipitation and temperature changes, with different patterns among forest types.
Article
Engineering, Chemical
Yun Huang, Yanyan Fan, Yanhong Ren, Wei Wan, Jinqi Zhu, Zhen Zhou, Bofu Zheng
Summary: A scientific evaluation index system is crucial for assessing the water environment carrying capacity (WECC). This study proposes a framework system of driving force-pressure-state-response-economic benefit (DPSRE) and a one-vote veto mechanism to construct an evaluation index system for WECC. Using the analytic hierarchy process (AHP), the WECC of Changxing County in Taihu Lake Basin, China, was analyzed from 2010 to 2018 and during different water periods (wet, flat, and dry) in 2018. The results indicate fluctuating increase in the WECC from 2010 to 2018, with evaluation grade ranging from critical overload to loadable. The major indicators affecting the WECC include development and utilization ratio of water resources, domestic sewage treatment compliance rate, output tax of per unit emission right, vegetation coverage rate of riverbank, and aquatic plants coverage rate of river. Improvement in WECC is attributed to the increase in economic benefit subsystem. Ecological degradation of river and point and non-point source pollution are the main constraints to the WECC in Changxing County.
DESALINATION AND WATER TREATMENT
(2023)
Article
Agronomy
Jiaxin Sun, Yanli Yang, Peng Qi, Guangxin Zhang, Yao Wu
Summary: The optimal allocation of agricultural water and land resources is crucial for farmers' economic benefits, carbon sequestration, and water resource conservation. This study developed a novel water-carbon-economy coupling model and applied it to a real farm, demonstrating its effectiveness in achieving the optimal allocation of water and land resources. The model balances economic, environmental, and social benefits.
AGRICULTURAL WATER MANAGEMENT
(2024)
