Article
Biodiversity Conservation
Julien Arsenault, Julie Talbot, Lee E. Brown, Manuel Helbig, Joseph Holden, Jorge Hoyos-Santillan, Emilie Jolin, Roy Mackenzie, Karla Martinez-Cruz, Armando Sepulveda-Jauregui, Jean-Francois Lapierre
Summary: Peatland pools are dynamic aquatic ecosystems that contribute to biogeochemical cycles, but their response to environmental change is poorly understood. This study analyzed pool biogeochemical data from multiple locations to determine the drivers of carbon, nitrogen, and phosphorus dynamics in peatland pools. Climate and terrain were found to explain variations in pool biogeochemistry, with climate driving spatial differences in dissolved organic carbon concentration. The study also demonstrated the reactivity of peatland pools to local and global environmental change. These findings highlight the importance of understanding and monitoring peatland pool dynamics as potential climate sentinels.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Daniel Jato-Espino, Alejandro Roldan-Valcarce, Felipe Collazos-Arias, Jorge Rodriguez-Hernandez
Summary: This article focuses on developing a framework for assessing rockfall hazard in mountainous areas. By processing various rockfall factors and validating the data, the results highlight the primary role played by factors such as slope, runoff threshold, and precipitation in the occurrence of rockfall events. The effects of climate change on rockfall hazard are significantly influenced by fluctuations in precipitation projections.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Green & Sustainable Science & Technology
Fatemeh Jahanishakib, Malihe Erfani, Abdolrassoul Salmanmahiny
Summary: The north of Iran is experiencing frequent floods and significant economic and natural losses, despite being the greenest region in the country. A study was conducted in the Gharesou Watershed of Golestan Province, Iran to understand the hydrological response to changes in land cover and land use. Using landscape metrics, changes in land cover and fragmentation were analyzed for the years 1984, 1994, 2014, and 2030. The study found that the annual average runoff in the watershed increased from 6.15 to 6.78 m(3)/0.09 ha/yr from 1984 to 2014, and is predicted to continue increasing to above 6.98 m(3)/0.09 ha/yr by 2030. It was also found that certain land cover types, such as industrial and high-density residential areas, contribute more to runoff generation compared to forest and grassland areas.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Editorial Material
Environmental Sciences
Hannah L. Joy-Warren
Summary: The polar regions are undergoing significant changes, with impacts on polar ecosystems and global climate. The growth of phytoplankton, an important component of these ecosystems, is influenced by environmental factors such as light and nutrients, which are affected by climate-induced changes in ocean circulation, stratification, and sea ice cover. A recent study focused on the Southern Ocean revealed that the variability of chlorophyll, a proxy for phytoplankton biomass, occurs primarily at sub-seasonal scales and is influenced by small-scale processes such as storms and eddies, rather than large-scale climate oscillations. Understanding and studying these small-scale events is crucial for explaining chlorophyll variability.
GLOBAL BIOGEOCHEMICAL CYCLES
(2022)
Article
Ecology
Yu Peng, Jiaxun Xin, Nanyi Peng
Summary: Species distribution, spatial distance, and neighboring interactions are important drivers of global variation in plant species diversity. The effects of climate change on spatial interactions and species diversity are unclear. This study used 12 machine learning models to assess spectral diversity changes in forests in China. The results showed that spectral diversity and intraspecific spatial distance increased significantly with climate change.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2023)
Article
Multidisciplinary Sciences
Shu Li, Tirtha Banerjee
Summary: The situation of wildfires in California is worsening year by year, with the frequency of small, human-caused wildfires increasing rapidly. The wildfire season has lengthened, with peak months advancing from August to July.
SCIENTIFIC REPORTS
(2021)
Article
Meteorology & Atmospheric Sciences
Vincent Moron, Andrew W. Robertson
Summary: The predictability of S2S tropical rainfall varies between land and sea, peaking at the start or end of the rainy season and decreasing during the core period; regions with small spatial scales and low skill, such as equatorial/northern tropical Africa and western Amazonia, are associated with small daily rainfall patch size and strong synoptic-scale variability; most of South and SE Asia has larger daily wet patches, modulated by intraseasonal oscillations, but the predictability is offset by large daily mean rainfall intensities.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Jose Gonzalez-Abad, Jorge Bano-Medina, Jose Manuel Gutierrez
Summary: This study evaluates deep downscaling models using explainable artificial intelligence techniques, introduces two new diagnostic methods, and demonstrates their role in design and evaluation. The results show the usefulness of incorporating explainable artificial intelligence techniques into statistical downscaling evaluation frameworks, especially when working with large regions and/or under climate change conditions.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Meteorology & Atmospheric Sciences
Jose Gonzalez-Abad, Jorge Bano-Medina, Jose Manuel Gutierrez
Summary: This study compares multiple deep learning models extracted from the literature for downscaled temperature prediction under changing climatic conditions. The researchers introduce two novel explainable artificial intelligence techniques and demonstrate their applications in designing and evaluating deep learning models.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Environmental Sciences
Li-Jun Fan, Zhong-Wei Yan, Deliang Chen, Zhen LI
Summary: This article develops a statistical downscaling (SD) model to predict the maximum temperature and heatwave indices in Central Asia for this summer. The model significantly improves the forecasting of the probability distribution of the maximum temperature at stations, particularly in mountainous regions. According to the model's projections, the maximum temperature and heatwave occurrence in Central Asia are expected to increase significantly over time, especially under high-emission scenarios.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2022)
Article
Environmental Sciences
Latifa O. Nyembo, Mohamed Mwabumba, Jahangeer Jahangeer, Vikram Kumar
Summary: This study investigates the variability and changes in rainfall patterns in Dar es Salaam, showing that there is a non-significant trend in rainfall on monthly, seasonal, and annual timescales. The future projections suggest a slight decrease in monthly rainfall from January to August, and an increase from September to December, compared to historical rainfall. The findings of this study will be useful for city management and planning.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Osvaldo Fonseca-Rodriguez, Ryan E. Adams, Scott C. Sheridan, Barbara Schumann
Summary: This study used weather classification and climate models to estimate the impact of extreme hot and cold weather on mortality in different regions of Sweden. The results suggest that heat-related deaths will increase in urban areas, while cold-related deaths may decrease in rural areas. Adaptation measures are needed to address the increasing heat-related mortality.
ENVIRONMENTAL RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Mina Faghih, Francois Brissette
Summary: This study investigates the relationship between catchment size, rainfall duration, and future streamflow increases in North American catchments. The analysis shows that extreme precipitation is projected to increase across all durations and return periods. The increases are strongly influenced by duration, frequency, and catchment size, with smaller catchments experiencing larger relative rainfall increases. Similar patterns are observed for future extreme streamflow, indicating that smaller catchments will be disproportionately affected by future increases in extreme rainfall.
JOURNAL OF HYDROMETEOROLOGY
(2023)
Article
Geosciences, Multidisciplinary
G. Tarca, M. Guglielmin, P. Convey, M. R. Worland, N. Cannone
Summary: Snow cover changes, monitored on Signy Island in maritime Antarctica between 2009 and 2017, showed high spatial and temporal variability, with mean annual snow depth influenced by air temperature and the Southern Oscillation Index. Small-scale spatial variability in snow accumulation was found to be influenced by microtopography, wind direction, and land cover type.
Article
Meteorology & Atmospheric Sciences
Shaukat Ali, Rida S. Kiani, Michelle S. Reboita, Li Dan, Hyung-Il Eum, Jaepil Cho, K. Dairaku, Firdos Khan, Madan L. Shreshta
Summary: This study utilized an ensemble of 14 global climate models to comprehensively assess climate change impacts over Pakistan and identify future hotspots cities. The findings suggest that the northern regions of Pakistan will experience the highest temperature changes, while wetter conditions are expected in the monsoon region. There is a linear positive correlation between air temperature and precipitation, and the study also identifies future changes in hotspot cities.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)