Article
Agronomy
Rintu Sen, Zachary T. Zambreski, Vaishali Sharda
Summary: This study assesses the spatial soil variability and its impact on maize yield in eastern Kansas. The research found that spatially distributed soils were more effective in simulating maize yield compared to using dominant soils in each county. The projected future climate change scenarios indicate higher yield losses due to increased temperature and decreased precipitation. Therefore, it is necessary to develop sustainable strategies for maize production in the region.
Review
Agronomy
Rohit Nandan, Dong K. Woo, Praveen Kumar, J. Adinarayana
Summary: The study investigates the impact of climate change on corn yields and examines irrigation scheduling methods to improve crop yield using the MLCan model. Results show that temperature increase and precipitation decrease due to climate change can reduce crop yields, with the leaf water potential method being more effective in improving crop yields under future climate conditions.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Xiangyu Luan, Riccardo Bommarco, Anna Scaini, Giulia Vico
Summary: The combined effects of temperature and precipitation can significantly reduce crop yields, especially when occurring simultaneously. Irrigation has the potential to alleviate water and heat stresses in maize and soybean production, although dependencies on temperature and precipitation still exist.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Wang Zhou, Kaiyu Guan, Bin Peng, Zhuo Wang, Rong Fu, Bo Li, Elizabeth A. Ainsworth, Evan DeLucia, Lei Zhao, Zhangliang Chen
Summary: The study found that climate has a significant impact on corn and soybean yield variability in the U.S. Midwest, with higher risk levels in the southwest and northwest regions leading to up to 25% yield reduction compared to other areas. The severity of major drought events in 1988 and 2012 for corn and soybean were quantified, and the study predicts an increase in crop yield risk under future climate scenarios at 2050.
WEATHER AND CLIMATE EXTREMES
(2021)
Article
Plant Sciences
Amrit Shrestha, Raju Bheemanahalli, Ardeshir Adeli, Sathishkumar Samiappan, Joby M. Prince Czarnecki, Cary Daniel McCraine, K. Raja Reddy, Robert Moorhead
Summary: Uncrewed aerial systems (UASs) are used for crop health monitoring and management decisions to improve yields. This study aimed to identify the best phenological stage and vegetation index (VI) for estimating corn yield under rainfed conditions. Multispectral images were analyzed and significant correlations between VIs and yield were found. The study demonstrated the importance of considering growth stages and environmental conditions for accurate corn yield prediction.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Maysoon A. A. Osman, Joshua Orungo Onono, Lydia A. Olaka, Muna M. Elhag, Elfatih M. Abdel-Rahman
Summary: The study found that rising temperatures negatively affect crop yield in Gedaref state, Sudan, while rainfall has a positive impact on the yield of sorghum, sesame, and sunflower. A longer rainy season is significantly correlated with higher crop yields, highlighting the importance of considering climatic variables in agriculture planning and adaptation strategies to mitigate the effects of climate change.
Article
Environmental Sciences
Yanjun Yang, Bo Tao, Liang Liang, Yawen Huang, Chris Matocha, Chad D. Lee, Michael Sama, Bassil El Masri, Wei Ren
Summary: This study utilized NDVI time series to analyze planting and harvesting dates for corn and soybean in Kentucky, finding delays in planting and harvesting dates for both crops, as well as an increase in growing season length for corn and a decrease for soybean. Sensitivity analysis showed planting dates were more affected by early season temperature, while harvesting dates were correlated with temperature throughout the entire growing season. Increased summer precipitation was found to be related to delayed corn harvesting dates in Kentucky. Additionally, delayed corn harvesting dates and extended growing season length were correlated with increased corn yield.
Article
Agronomy
Logan R. Bundy, Vittorio A. Gensini
Summary: Anthropogenic climate change affects temperature, precipitation, and adverse weather in the U.S. Corn Belt, potentially impacting corn condition ratings. This study examines the correlation between corn condition ratings, climate variables, and yield, and identifies spatiotemporal trends in ratings. Despite decreasing ratings, corn yields have increased, indicating advancements in crop quality offsetting environmental challenges.
Article
Green & Sustainable Science & Technology
Vincenzo Guerriero, Anna Rita Scorzini, Bruno Di Lena, Stefano Iulianella, Mario Di Bacco, Marco Tallini
Summary: This study analyzes the relationship between climate change and agricultural yields in the Abruzzo Region of Italy, showing that the region has experienced increased drought intensity and persistence, as well as a shift towards more temperate conditions in winter and a warmer and more arid climate in summer. The study also reveals an overall increase in the correlation between crop yield fluctuations and climatic variables, suggesting an increased vulnerability of the agricultural production system to climate change.
Article
Agronomy
Xiaopei Yi, Naijie Chang, Wuhan Ding, Chi Xu, Jing Zhang, Jianfeng Zhang, Hu Li
Summary: This study evaluates the impact of climate change on a typical wheat-corn rotation system and proposes adaptive strategies. The results show that adjusting crop planting time, using cold-resistant varieties, straw return, fertigation, and selecting drought-resistant varieties can reduce the net greenhouse effect and maintain yields.
Article
Agronomy
Jinsil Choi, Jonghan Ko, Kyu-Nam An, Saeed A. Qaisrani, Jong-Oh Ban, Dong-Kwan Kim
Summary: This study simulated regional variation in staple crop yields in Chonnam Province, ROK under climate change using crop models, and successfully demonstrated that the simulated yields matched with measured data. The research highlighted the effectiveness of the GCSM system in simulating the spatiotemporal variations in the impact of climate change on staple crop yield.
Article
Agronomy
Alexander Esaulko, Vladimir Sitnikov, Elena Pismennaya, Olga Vlasova, Evgeniy Golosnoi, Alena Ozheredova, Anna Ivolga, Vasilii Erokhin
Summary: In arid zones, the yields of soft winter wheat varieties are significantly affected by variations in hydrothermal conditions. Understanding the relationship between soil and environmental hydrothermal parameters and winter wheat productivity is crucial for stable agricultural systems. A study on the arid zone of Central Fore-Caucasus found that temperature shifts and drought have led to longer growing seasons, reduced plant density, and decreased productivity of drought-resistant varieties. Breeding new varieties and shifting the cultivation of winter wheat northward can potentially mitigate the impact of drought and improve productivity in arid environments.
Article
Agriculture, Multidisciplinary
Meijian Yang, Guiling Wang
Summary: Climate change has a significant impact on crop yield, with projected decreases in maize and increases in soybeans. Water stress currently limits crop yield in the Corn Belt, but heat stress will become a limiting factor after the midcentury. Climate change will offset some of the yield boost from agricultural technology and intensification, and multiple strategies will be needed to address the challenges it poses for U.S. agriculture.
AGRICULTURAL SYSTEMS
(2023)
Article
Agronomy
Dennis Junior Choruma, Frank Chukwuzuoke Akamagwuna, Nelson Oghenekaro Odume
Summary: This study used a model to assess the effects of future climate change on maize yield in South Africa's Eastern Cape Province. The results showed a projected decrease in maize production and an increase in temperature, leading to drier winters and reduced summer rainfall.
Article
Environmental Sciences
Noppol Arunrat, Sukanya Sereenonchai, Winai Chaowiwat, Can Wang
Summary: This study investigated the impact of climate change on major crop yields and water footprints in Thailand. Results showed that future climate change would significantly affect rice yields, and alternative crops may be more suitable choices in the face of climate change challenges.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Shaobin Li, Kevin Wallington, Sundar Niroula, Ximing Cai
Summary: This study introduces a modified response matrix approach to estimate streamflow, nutrient, and sediment export using the Soil and Water Assessment Tool (SWAT). By addressing the interaction effects between conservation practices and in-stream and reservoir processes, the modified approach provides accurate estimation throughout the stream network.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Engineering, Environmental
Pan Yang, Ximin Piao, Ximing Cai
Summary: This study assesses the water requirements and availability for renewable biofuel production in the United States, indicating potential water stress in certain regions. It also predicts the concentration of biofuel production in a few specific areas and the possible impact of water constraints on cellulosic biofuel production.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Lili Yao, Dingbao Wang
Summary: This article explores the impact of spatial variability of available water for evaporation on the Budyko equation and suggests that precipitation partitioning and energy partitioning follow the same functional form in the hydrological cycle. The study provides insights into the influence of spatial variability of available water on mean annual evaporation.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Erhu Du, Yong Tian, Ximing Cai, Yi Zheng, Feng Han, Xin Li, Mohan Zhao, Yi Yang, Chunmiao Zheng
Summary: This study proposes a distributed policy design scheme for conjunctive surface water-groundwater management in large river basins. A fully integrated modeling framework is developed to tightly couple water policies, water use, and hydrological processes. The findings from the application of this framework to the Heihe River Basin show that distributed water policies can improve hydrological outcomes and identify hydrological externality effects.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Siao Sun, Qiuhong Tang, Megan Konar, Zhongwei Huang, Tom Gleeson, Ting Ma, Chuanglin Fang, Ximing Cai
Summary: Groundwater use is essential for economic production, but its unsustainable use threatens environmental flows, sustainable development, and future food security. This study analyzes the complete supply chain of China and finds that groundwater depletion primarily occurs in water scarce regions in the country, and a significant amount of depleted groundwater is incorporated into industrial and tertiary products consumed by major cities.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Ana Carolina Cardoso Lima, Alcigeimes B. Celeste, Ximing Cai
Summary: This paper proposes an optimal sizing strategy for water storage reservoirs that considers both reliability and vulnerability. By comparing with another mixed-integer linear programming model, it is demonstrated that higher storage capacities are necessary for more reliable, less vulnerable operation and lower risk.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2022)
Article
Water Resources
S. Jamshid Mousavi, Kumaraswamy Ponnambalam, Alcigeimes B. Celeste, Ximing Cai
Summary: The paper introduces a new implementation method named FP-2022, which significantly reduces solving time by simplifying constraints and decreasing decision variables. It incorporates new expressions to improve optimality for a nonlinear objective function. The method is proven to be highly efficient and optimal through the optimization problem of a dam in Brazil and a five-reservoir system in India.
ADVANCES IN WATER RESOURCES
(2022)
Article
Water Resources
Yanan Chen, Donghui Li, Qiankun Zhao, Ximing Cai
Summary: This study presents a generic data-driven reservoir operation model (GDROM) that can accurately simulate the operation and release of reservoirs. GDROM, using a few input variables and employing hidden Markov-decision tree and classification and regression tree algorithms, exhibits good interpretability and performance, making it applicable to reservoirs in different regions.
ADVANCES IN WATER RESOURCES
(2022)
Article
Agronomy
Xuemin Li, Jingwen Zhang, Ximing Cai, Zailin Huo, Chenglong Zhang
Summary: This paper presents a novel human-machine interactive framework for real-time irrigation scheduling, which can effectively tackle the challenges of data uncertainties and optimization models while considering farmers' acceptance. The framework searches for optimal irrigation scheduling through a simulation-optimization model, makes actual irrigation decisions based on farmers' experiences, and updates soil water content using real-time observations and model simulations. Applied to a real-world case in China's arid agricultural region, the proposed framework achieves higher economic benefit with less irrigation water allocation quotas and improves irrigation efficiency compared to historical records and traditional simulation-optimization models. This study contributes to sustainable irrigation water management by integrating computer models, real-time observations, and farmers' experiences into the optimization modeling framework.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Engineering, Environmental
Sundar Niroula, Kevin Wallington, Ximing Cai
Summary: Data limitations often challenge the reliability of water quality models in intensively managed watersheds. This study addresses the data challenges in calibrating the Soil and Water Assessment Tool (SWAT) to the Upper Sangamon River Watershed in central Illinois, highlighting errors and inconsistencies in data and insufficient precipitation and water quality observations. The study also demonstrates the benefits of additional weather and water quality observations for reducing input uncertainties and provides suggestions for selecting appropriate observations for model calibration. After addressing the data issues, the study shows that the SWAT model can be calibrated successfully for the case study watershed.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2023)
Article
Agronomy
Zhaodan Cao, Tingju Zhu, Ximing Cai
Summary: Water shortage and soil salinization are key limiting factors in agricultural production in arid and semi-arid regions. The Hetao Irrigation District in western Inner Mongolia, China, has been adversely affected by irrigation water overuse and high soil salinity. An integrated hydro-agro-economic optimization model is developed to improve agricultural water management and policy interventions in the district.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Yu Zhang, Lili Yao, Jeffrey S. Geurink, Kshitij Parajuli, Dingbao Wang
Summary: This study proposes a three-stage precipitation partitioning framework to investigate the climate controls on mean annual groundwater evapotranspiration (GWET) in west-central Florida. The Integrated Hydrologic Model is used to simulate daily GWET, total evapotranspiration (ET), groundwater recharge, base flow, and total runoff. The results show that the ratios of GWET to various water variables decrease exponentially with watershed aridity index (WAI). The contribution of GWET to the ratio between total ET and available water or watershed wetting decreases with WAI in both one-stage and two-stage precipitation partitioning frameworks. Climate variability at different temporal scales affects GWET differently, with intra-monthly variability having the highest impact. Finally, the percentage of forest and wetland and impervious land cover contribute to the ratio of GWET to available water for GWET.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Kevin Wallington, Ximing Cai
Summary: Efforts to reduce riverine phosphorus (P) loads have been hindered because existing watershed management models fail to accurately account for in-stream processes that influence P export. A new version of the Soil and Water Assessment Tool (SWAT+), known as SWAT+P.R&R, has been developed to address this limitation by incorporating new streambed pools and processes related to P retention and remobilization. The modeling work with SWAT+P.R&R challenges existing assumptions about P storage, transformation, and transport in watersheds, and provides insights on the relationship between P retention and flow at different temporal scales.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Sundar Niroula, Ximing Cai, Gregory Mcisaac
Summary: The projected climate change will have significant impacts on agricultural production and water quality in the US Midwest. Adapting agricultural practices and implementing conservation measures are necessary for sustainable agriculture and water quality improvement.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Zhihao Xu, Yunying Li, Ximing Cai, Yanpeng Cai, Zhifeng Yang
Summary: Reservoir operation policies have complex influences on sediment methane production and pathways. This study combines a physical-biogeochemical model with a reservoir operation model to evaluate operation impacts on sediment methane production and release dynamics. The results show that reservoir operations significantly impact methane pathways and atmospheric emissions.
WATER RESOURCES RESEARCH
(2023)