Article
Environmental Sciences
Hideo Shiogama, Jun'ya Takakura, Kiyoshi Takahashi
Summary: This study demonstrates the potential for constraining the uncertainty of climate-related economic impacts through the use of impact emulators. By evaluating future climate change projections from 67 ESMs, the impacts in eight sectors were found to be closely related to recent trends in global mean temperature. The application of observational constraints reduced the upper bound of estimated economic impacts, thereby reducing uncertainty.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Engineering, Civil
Reyhaneh Rahimi, Hassan Tavakol-Davani, Mohsen Nasseri
Summary: This research introduces a new framework to evaluate the parametric uncertainty of downscaling models, and assesses the performance of different bias correction methods. The results show that LOCI and PT outperform the conventional VIF in both precipitation amount and occurrence modules in every assessed climate class within the SDSM framework.
WATER RESOURCES MANAGEMENT
(2021)
Article
Biodiversity Conservation
Kelley D. Erickson, Adam B. Smith
Summary: Species distribution models are useful for estimating the distribution and environmental preferences of rare species. However, sparse data makes it challenging to model these species. This study contrasts different modeling approaches and evaluates their accuracy based on sample size, niche breadth, and similarity to other species. The results indicate that the best model depends on the modeling goal, sample size, and niche characteristics.
Article
Engineering, Civil
Elisabeth Vogel, Fiona Johnson, Lucy Marshall, Ulrike Bende-Michl, Louise Wilson, Justin R. Peter, Conrad Wasko, Sri Srikanthan, Wendy Sharples, Andrew Dowdy, Pandora Hope, Zaved Khan, Raj Mehrotra, Ashish Sharma, Vjekoslav Matic, Alison Oke, Margot Turner, Steven Thomas, Chantal Donnelly, Vi Co Duong
Summary: Researchers propose an impact-centric evaluation framework for downscaling and bias correction methods in climate change risk assessments. They find that for hydrological projections in Australia, multi-variate bias correction performs best in reducing biases in hydrological output variables. Their evaluation approach can be applied to various climate change applications, including impacts on agriculture, wildfires, energy generation, human health, ecosystem functioning, and water resource management.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yi Wu, Chiyuan Miao, Xuewei Fan, Jiaojiao Gou, Qi Zhang, Haiyan Zheng
Summary: Decomposing the uncertainty of global climate models is crucial for understanding climate change. The study compares sources of uncertainty in temperature and precipitation projections from different phases of the Coupled Model Intercomparison Project and investigates the effectiveness of bias correction methods. The findings provide insights into model characteristics and offer decision-makers more accurate information for climate mitigation and adaptation measures.
Article
Engineering, Civil
Nabil Al Aamery, James F. Fox, Tyler Mahoney
Summary: This study focused on forecasting sediment transport using global climate model ensembles and identified hydrologic modeling parameterization as the primary source of variance impacting forecasted sediment transport, surpassing the uncertainty from the selected global climate model realizations. Climate change impacts on sediment transport were mainly attributed to meteorological variables like precipitation and temperature, with underestimation observed when considering only these factors. Variance introduced by different global climate model ensembles had limited impact on forecasted streamflow and sediment yield, indicating the importance of researcher effort in designing ensemble models for robust results.
JOURNAL OF HYDROLOGY
(2021)
Article
Green & Sustainable Science & Technology
Gebrekidan Worku Tefera, Yihun Taddele Dile, Ram Lakhan Ray
Summary: This study evaluates the effect of statistical bias correction techniques on climate change signals and extreme rainfall indices in the Jemma sub-basin. The statistical methods effectively adjusted the RCM simulations of rainfall, with distribution mapping being more effective than linear scaling. The bias correction techniques triggered changes in climate signals, resulting in a decrease in rainfall in the statistically adjusted outputs.
Article
Engineering, Civil
Parisa Hosseinzadehtalaei, Nabilla Khairunnisa Ishadi, Hossein Tabari, Patrick Willems
Summary: The study emphasizes the projected increase in flood frequency, volume, and inundated area due to climate change impacts. By applying a distribution-based bias correction method on regional climate model simulations, the study effectively reduces biases in the model outputs and provides strong scaling relations for high-resolution extreme precipitation time series.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Hadush Meresa, Yongqiang Zhang, Jing Tian, Muhammad Abrar Faiz
Summary: Evaluation of peak flood magnitude and frequency in the future at a catchment scale under global warming is crucial for water resource management and flood risk management. This study develops a framework to examine changes and disentangle uncertainties in peak flow, which is tested at five Awash catchments in Ethiopia, a region exposed to extreme flood risk. The results showed that projected extreme precipitation and peak flow magnitude could increase substantially in the coming decades by 30% to 55%.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Alfonso Senatore, Domenico Fuoco, Mario Maiolo, Giuseppe Mendicino, Gerhard Smiatek, Harald Kunstmann
Summary: By evaluating the combined effect of multiple climate models and bias correction methods, the study found that the water resources in the Crati River Basin in Southern Italy will decrease significantly in the future decades, mainly due to the increase in temperature and the decrease in precipitation. The driving climate model was identified as the primary source of uncertainty, and the bias correction methods contributed to reducing the uncertainty.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Review
Engineering, Civil
Dima Al Atawneh, Nick Cartwright, Edoardo Bertone
Summary: Research on the influence of climate change on groundwater recharge reveals that there is significant uncertainty in the models used, with most studies only considering inter-model uncertainty and not fully addressing intra-model uncertainty or emission scenario uncertainty. Overall, a decline in groundwater recharge can be expected in most regions, though the extent of the decline varies based on emission scenarios and seasons.
JOURNAL OF HYDROLOGY
(2021)
Editorial Material
Multidisciplinary Sciences
Beth Tellman, Hallie Eakin
Summary: Risk management alone does not reduce the impact of extreme events, addressing the social drivers of hazard impact equitably is crucial.
Article
Geosciences, Multidisciplinary
Yong-Tak Kim, Hyun-Han Kwon, Carlos Lima, Ashish Sharma
Summary: This study introduces a novel approach that expands the existing QDM by incorporating Kriging and a Bayesian framework to address spatial bias. The proposed model is validated to effectively simulate bias-corrected daily rainfall sequences over large regions at fine resolutions. The potential use of this approach in the field of hydrometeorology is discussed.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Water Resources
Ana I. Requena, Antonio Jimenez-Alvarez, Celia Garcia
Summary: The potential effect of climate change on maximum precipitation is studied in terms of flood risk management in Spain. The study evaluates the behavior of climate models and assesses the changes in precipitation patterns. The findings indicate a large variability in climate model outcomes and an intensifying increase in extreme precipitation associated with shorter durations.
HYDROLOGICAL PROCESSES
(2023)
Article
Environmental Sciences
Isabel Fuentes-Santos, Uxio Labarta, Maria Jose Fernandez-Reiriz, Susan Kay, Solfrid Saetre Hjollo, X. Anton Alvarez-Salgado
Summary: The study suggests that the impact of climate change on mussel growth is relatively small compared to the importance of seeding time. The response of mussels to climate change varies across climate models, ranging from minor growth decline to moderate growth increase.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agronomy
Xiaofei Wang, Jiawei Zhang, Xiaoqin Wang, Yibo Hu, Xiaolong Ren, Zhikuan Jia, Tiening Liu, Zhenlin Wang, Tie Cai
Summary: Film mulching ridge-furrow planting (RF) is an important dry farming mode for wheat, but it often causes lodging due to lignin accumulation in the stems. This study investigated the effects of regulating the population distribution on lodging occurrence in wheat and found that adjusting the population distribution can improve lodging resistance by enhancing the mechanical properties of the stems and promoting lignin synthesis and accumulation. The light environment plays a crucial role in lignin biosynthesis and lodging resistance.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Wei Wang, Jian-Hua Zhao, Meng-Ying Li, Wei Zhang, Muhammad Maqsood Ur Rehman, Bao-Zhong Wang, Fazal Ullah, Zheng-Guo Cheng, Li Zhu, Jin-Lin Zhang, Hong-Yan Tao, Wen-Ying Wang, You-Cai Xiong
Summary: This study investigated the physiological mechanism of yield loss in intercropped inferior species and found that plastic film mulching can alleviate water competition between maize and faba bean, reducing kernel abortion in maize.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Michael Merkle, Matthias Schumacher, Roland Gerhards
Summary: This study conducted a field experiment to test different methods and species of cover crops. The results showed that early establishment of cover crops, specifically direct sowing or sowing 10 days before harvest, had a positive impact on biomass formation and weed suppression. The performance of cover crops varied depending on the species, sowing date, and weather conditions, but a diverse cover crop mixture showed more stable performance under variable weather conditions.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Dereje Ademe, Kindie Tesfaye, Belay Simane, Benjamin F. Zaitchik, Getachew Alemayehu, Enyew Adgo
Summary: This study used simulation experiments to evaluate the effects of planting time, nitrogen rate, and crop variety choice on potato productivity in Ethiopia. The results showed that shifting planting time forward and changing the nitrogen application rate had greater productivity benefits than switching varieties. In the mid-century climate period, early planting of medium and long maturity varieties with higher nitrogen rates showed potential adaptation benefits.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Wenlong Li, Xiaobo Gu, Heng Fang, Tongtong Zhao, Rui Yin, Zhikai Cheng, Chuandong Tan, Zhihui Zhou, Yadan Du
Summary: This study aims to establish critical nitrogen dilution curves (CNDC) for maize and diagnose the nitrogen status under different mulching planting patterns. The results showed no significant differences in CNDC and its estimated parameters across years and mulching planting patterns, suggesting the establishment of a universal CNDC model for maize nitrogen diagnosis.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Guillermo A. A. Dosio, Pablo Cicore, Roberto Rizzalli
Summary: This study demonstrates through field experiments that reducing sink demand during the grain filling period in maize accelerates leaf senescence, particularly at specific phenological stages. The results also suggest that protecting grains can prevent yield reduction.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Xuan Wei, Yongjie Liu, Qiming Song, Jinping Zou, Zhiqiang Wen, Jiayu Li, Dengfei Jie
Summary: This study successfully established a model for detecting the spores of Agaricus bisporus disease using hyperspectral imaging and deep learning methods, providing a new approach for early prevention and detection of the disease.
EUROPEAN JOURNAL OF AGRONOMY
(2024)
Article
Agronomy
Ferdaous Rezgui, Adolfo Rosati, Fatima Lambarraa-Lehnhardt, Carsten Paul, Moritz Reckling
Summary: The intensification of Mediterranean farming systems has had negative impacts on the environment, but agroforestry systems can address these issues. This study developed a practical methodology to assess the sustainability of Mediterranean agroforestry systems and found that they provide agro-environmental benefits and economic profitability, although they also require increased workload.
EUROPEAN JOURNAL OF AGRONOMY
(2024)