Publications by authors named "Virgilio A Bento"
Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30°N from 1982 to 2014, focusing on two-season vegetation phenology.
View Article and Find Full Text PDFVegetation drought risk assessment based on the multi-weight methods in Northwest China.
Environ Monit Assess
September 2023
Vegetation makes an outstanding contribution to the stability of ecosystems and to a certain extent reflects the state of the terrestrial ecosystem. Drought conditions greatly affect the growth and development process of vegetation due to its remarkable stochasticity and complexity. Due to the complex coupling mechanism between vegetation and drought, the research on vegetation drought risk is still limited.
View Article and Find Full Text PDFDrought, a complex phenomenon exacerbated by climate change, is influenced by various climate factors. The escalating global temperatures associated with climate change, impact precipitation patterns and water cycle processes, consequently intensifying the occurrence and severity of droughts. To effectively address and adapt to these challenges, it is crucial to identify the dominant climate factors driving drought events.
View Article and Find Full Text PDFArticle Synopsis
- Global warming has led to more frequent droughts, causing crop failures, food shortages, and larger wildfires, negatively impacting socio-economic development and agriculture.
- A new high-resolution (4 km) vegetation health index (VHI) dataset was created, covering a long-term period (1981-2021) and integrating various climatic factors.
- The improved VHI dataset has a drought detection efficiency of 85%, which is 14% higher than the original, and is better at identifying mild droughts and accurately measuring their extent, making it valuable for monitoring drought impacts on agriculture and the environment.
Article Synopsis
- Climate change is impacting global food trade and security, making seasonal forecasts of weather essential for maximizing cereal yields.
- Using ECMWF’s SEAS5 forecasts can improve decision-making, although uncertainties may limit their effectiveness.
- The study shows that forecasts become more skilled later in the season, with SEAS5 providing a 6-16% improvement in yield prediction over persistent climate conditions, especially in southern Spain.
The impact of climate change on wheat and barley yields in two regions of the Iberian Peninsula is here examined. Regression models are developed by using EURO-CORDEX regional climate model (RCM) simulations, forced by ERA-Interim, with monthly maximum and minimum air temperatures and monthly accumulated precipitation as predictors. Additionally, RCM simulations forced by different global climate models for the historical period (1972-2000) and mid-of-century (2042-2070; under the two emission scenarios RCP4.
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