Article
Environmental Sciences
Nesrine Kadri, Sihem Jebari, Xavier Augusseau, Naceur Mahdhi, Guillaume Lestrelin, Ronny Berndtsson
Summary: By studying the Rihana region in central Tunisia, we used Google Earth Engine (GEE) and Landsat imagery, along with vegetative indices (NDVI, MSAVI, EVI) and a Random Forest (RF) classifier, to investigate the drivers of Land Use and Land Cover (LULC) changes. The results showed that LULC changes in Rihana are mainly influenced by local factors such as topography, climate, hydrology, household strategies, the effects of the 2010 revolution, increasing demand for natural resources, agricultural policy, population growth, high cost of agricultural input, and economic opportunities.
Article
Forestry
Zechuan Wu, Mingze Li, Bin Wang, Yuping Tian, Ying Quan, Jianyang Liu
Summary: This study used Ripley's K(d) function and the LightGBM algorithm to determine the spatial pattern of forest fires and their driving factors in four different provinces in China. The results showed differences in the driving factors of fire in different forest ecosystems, and an artificial neural network model was developed to predict the probability of fire occurrence.
Article
Environmental Sciences
Taehee Kim, Suyeon Hwang, Jinmu Choi
Summary: This study aims to understand the spatial distribution characteristics of forest fire occurrences in Korea, with a focus on temporal irregularities and long-term correlations. The findings reveal self-organized criticality in forest fire occurrences and highlight spatial differences in occurrence patterns. The study is significant for identifying areas with notable temporal irregularities in forest fire occurrences.
Article
Environmental Sciences
Jianfeng Luo, Chunyu Dong, Kairong Lin, Xiaohong Chen, Liqiang Zhao, Lucas Menzel
Summary: This study presents a new algorithm based on machine learning technology to improve the accuracy of binary snow cover mapping in forests. The proposed algorithm shows high performance in forest BSC mapping, retrieving 67% of all real forest snow pixels compared to only 8-14% by the NDSI-based approach. The algorithm's performance is sensitive to changes in solar illumination conditions and forest coverage, suggesting that machine learning with the fusion of optical remote sensing and ground-based observations is an effective approach for improving the accuracy of forest snow cover mapping at regional scales.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Luke Collins, Ross A. Bradstock, Hamish Clarke, Michael F. Clarke, Rachael H. Nolan, Trent D. Penman
Summary: This study found that while the wildfires in south-eastern Australia in 2019/2020 were larger in extent, they were not proportionally more severe than previous fires. High-severity fire area increased in wet-forests and less-common rainforest areas, accounting for 44% of the burnt area in 2019/2020.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Tamara Jakovljevic, Lucija Lovreskov, Goran Jelic, Alessandro Anav, Ionel Popa, Maria Francesca Fornasier, Chiara Proietti, Ivan Limic, Lukrecija Butorac, Marcello Vitale, Alessandra De Marco
Summary: This study assessed ozone exposure and uptake in forests along the Eastern Adriatic coast in the Mediterranean region. Results showed that ozone levels were close to reaching the upper limits for passive monitoring at forest sites, with the highest uptake metrics found in P. nigra. Relationships between environmental variables and forest-health indicators were also analyzed, with significant correlations found between crown defoliation and soil water content, and between tree growth and different O-3 metrics.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Andrey Ostroukhov, Elena Klimina, Viktoriya Kuptsova, Daisuke Naito
Summary: Research in the temperate belt of the Russian Federation has focused on forest fires and neglected the study of carbon emissions from wildfires in non-forest ecosystems. This study assesses the carbon emissions from fires in meadow and meadow-mire ecosystems in the Middle Amur Lowland and finds that although the specific emissions are lower than forest fires, the total emissions are comparable due to the high frequency and large areas burned annually. The adequacy of methods used to map these fires needs improvement to avoid underestimation.
Article
Environmental Sciences
A. Khosravi Mashizi, M. Sharafatmandrad
Summary: The study assessed the potential of semiarid plant communities in providing water regulation and soil retention ecosystem services, finding significant differences in contributions among different plant communities. Land degradation was identified as the key factor affecting these services, while management practices also played a crucial role in mitigating the effects of rainfall events.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Ecology
Clare E. Aslan, Luke Zachmann, Rebecca S. Epanchin-Niell, Mark W. Brunson, Samuel Veloz, Benjamin A. Sikes
Summary: This study investigates the impacts of different management histories on ecological conditions across large landscapes, and finds that disturbances and geography interact to influence ecological characteristics.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
M. Torre Jorgenson, Dana R. N. Brown, Chris A. Hiemstra, Helene Genet, Bruce G. Marcot, Richard J. Murphy, Thomas A. Douglas
Summary: By analyzing historical data and photo interpretation, we assessed the changes in ecotypes in central Alaska. Fire was found to be the primary driver, affecting 46.5% of the region. The increasing area of thermokarst is projected to have significant impacts on future ecotype distributions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Studies
Niki Evelpidou, Maria Tzouxanioti, Theodore Gavalas, Evangelos Spyrou, Giannis Saitis, Alexandros Petropoulos, Anna Karkani
Summary: The wildfires in Greece in summer 2021 were one of the most severe events in the country in the past decade, resulting in extensive damage to the area. These fires not only had direct impacts but also increased the susceptibility to erosion by removing vegetation. This study evaluates the erosion hazard in the affected areas and predicts a high risk of erosion and floods in the coming seasons.
Article
Biodiversity Conservation
Michael D. Ulyshen, Audrey C. Wilson, Gunnar C. Ohlson, Scott M. Pokswinksi, John K. Hiers
Summary: The frequency of burns has a significant impact on ground-nesting bee habitats. The number of bees is higher in plots burned annually compared to unburned plots. Bee richness and diversity vary among plots burned at different frequencies.
INSECT CONSERVATION AND DIVERSITY
(2021)
Article
Environmental Studies
Vaidotas Valskys, Gintautas Kibirkstis, Julius Taminskas, Alius Ulevicius, Gytautas Ignatavicius
Summary: Fires in forested raised bogs can occur naturally or due to human activity, and their impact on ecosystems lacks reliable scientific research. This study found that the chemical composition of peat layers is minimally affected by these fires and can be used as a tracer for past fire events. Overall, controlled burning can successfully achieve the environmental and ecological goals of managing forested raised bogs.
Article
Environmental Sciences
Bingbing Ding, Yonge Zhang, Xinxiao Yu, Guodong Jia, Yousheng Wang, Yusong Wang, Pengfei Zheng, Zedong Li
Summary: This study investigated the effects of changes in forest cover type and cover percentage on total runoff and runoff components using simulation and filtering methods. The results showed that different forest types had varying impacts on total runoff and its components, and the proportion of interflow and groundwater flow increased with increasing forest cover rate.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2022)
Article
Engineering, Civil
Xiuzhi Chen, Liyang Liu, Yongxian Su, Wenping Yuan, Xiaodong Liu, Zhiyong Liu, Guoyi Zhou
Summary: The study found that the effects of forest cover changes on water yield and temperature are related, with forest biophysical processes significantly increasing water yield effects as climate dryness increases. The ratio of water yield differences to corresponding temperature changes caused by forest cover changes is larger in dry climates, supporting the hypothesis that forest water yield is more sensitive to land cover changes in dry climate regions.
JOURNAL OF HYDROLOGY
(2021)
Article
Agronomy
Mulatie Mekonnen, Tigist Worku, Birru Yitaferu, Artemi Cerda, Saskia Keesstra
Summary: This study investigated the productivity and economic benefit of the Acacia decurrens based small-scale agroforestry (SSA) land use system. The results showed that the mixed land use system provided better income for small-holder farmers, motivating them to switch from sole crop or fodder land use systems. Therefore, it is recommended to promote the use of mixed land use systems in similar agro-ecological contexts.
AGROFORESTRY SYSTEMS
(2023)
Article
Remote Sensing
Cristian Iranzo, Raquel Montorio, Alberto Garcia-Martin
Summary: The objective of this study is to develop a model capable of accurately estimating barley production in a small agricultural production in Spain. By using variables adapted to the crop calendar, derived from weather data and remote sensing images, and applying multiple linear regression, the study achieved the best model with a small prediction error.
REVISTA DE TELEDETECCION
(2022)
Article
Agronomy
Fatemehsadat Mortazavizadeh, Amirali Fatahi, Keyvan Asefpour Vakilian, Paulo H. Pagliari, Artemi Cerda, Majid Mirzaei, Xiuju Zhang, Rana Muhammad Adnan Ikram
Summary: This study investigates the effects of using livestock manure, livestock manure ash, and the combination of both on soil moisture content and water infiltration rate. The results show that these treatments can increase the soil moisture content and water infiltration rate, with the combination treatment having the most desirable effects. Promising results were obtained using the combination treatment, which can contribute to sustainable agricultural goals by increasing water infiltrates available for plants.
IRRIGATION AND DRAINAGE
(2022)
Article
Environmental Sciences
Pavel Raska, Nejc Bezak, Carla S. S. Ferreira, Zahra Kalantari, Kazimierz Banasik, Miriam Bertola, Mary Bourke, Artemi Cerda, Peter Davids, Mariana Madruga de Brito, Rhys Evans, David C. Finger, Rares Halbac-Cotoara-Zamfir, Mashor Housh, Artan Hysa, Jiri Jakubinsky, Marijana Kapovic Solomun, Maria Kaufmann, Saskia Keesstra, Emine Keles, Silvia Kohnova, Michele Pezzagno, Kristina Potocki, Samuel Rufat, Samaneh Seifollahi-Aghmiuni, Arthur Schindelegger, Mojca Sraj, Gintautas Stankunavicius, Jannes Stolte, Ruzica Stricevic, Jan Szolgay, Vesna Zupanc, Lenka Slavikova, Thomas Hartmann
Summary: This paper examines the implementation barriers of Nature-Based Solutions (NBS) in flood risk management and suggests avenues for further research, emphasizing the need for a transdisciplinary approach in studying NBS.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Geosciences, Multidisciplinary
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, Artemi Cerda, Subodh Chandra Pal, Omid Ghorbanzadeh, Paramita Roy, Indrajit Chowdhuri
Summary: Flood susceptibility maps are important for flood management measures. This study computed the flood susceptibility map for the Kaiser watershed in Iran using machine learning models and analyzed their applications in flood susceptibility assessment. The results showed that the ensemble model PSO-GA performed the best, offering a novel method for flood susceptibility studies.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Biodiversity Conservation
Artan Hysa, Zydi Teqja, Aida Bani, Zamir Libohova, Artemi Cerda
Summary: The endemic vegetation on serpentine soils is diverse but low in productivity and slow to recover after disturbances. Climate change and human activities may increase the vulnerability of these ecosystems to disturbances. Assessing wildfire risks in these habitats is crucial for protecting ecological, agricultural, and urban systems.
JOURNAL FOR NATURE CONSERVATION
(2022)
Article
Engineering, Marine
Md. Ashrafuzzaman, Filipe Duarte Santos, Joao Miguel Dias, Artemi Cerda
Summary: Global greenhouse gas emissions have caused sea level rise, affecting coastal and deltaic populations worldwide. The research found that sea level rise is higher than regional and global averages and is influenced by physical processes in the delta region. This indicates that coastal areas in Bangladesh will experience greater sea level rise compared to other regions.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Gokcen Yakupoglu, Kadir Saltali, Jesus Rodrigo-Comino, Tugrul Yakupoglu, Artemi Cerda
Summary: The deterioration of soil quality is one of the biggest threats to agro-ecosystems, especially in arid and semiarid areas. This study aimed to investigate the effects of different doses of manure on Capia pepper in semiarid environments. The results showed that sustainable soil management, such as the use of specific dose of manure, improves soil quality and plant productivity.
Article
Environmental Sciences
Makki Khorchani, Leticia Gaspar, Estela Nadal-Romero, Jose Arnaez, Teodoro Lasanta, Ana Navas
Summary: This study evaluates the effects of cropland abandonment and post-land abandonment management on soil redistribution rates in the Mediterranean mid-mountain areas. It found that afforested areas had the lowest soil erosion rates, indicating the potential of afforestation in reducing soil degradation. However, there were no significant differences in soil redistribution rates among different land uses and covers.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Md Ashrafuzzaman, Carla Gomes, Joao Miguel Dias, Artemi Cerda
Summary: This study focuses on identifying vulnerabilities and impacts of climate change on women in the Satkhira district in Bangladesh. The findings reveal that climate change increases gender inequality and women's vulnerability. Women experience specific conditions of vulnerability in society and their daily livelihood due to climate change. The study emphasizes the importance of women's empowerment to reduce inequality and addresses gender-based accommodations to mitigate the negative influences of climate change.
Article
Ecology
Maria Paz Errea, Melani Cortijos-Lopez, Manel Llena, Estela Nadal-Romero, Javier Zabalza-Martinez, Teodoro Lasanta
Summary: Since the mid-20th century, the Mediterranean mountains have witnessed the revegetation of former pasture and cultivated fields. This study examines the changes in land use and land cover in a valley of the Central Pyrenees from 1956 to 2017, revealing a decrease in cultivated and pasture areas and an increase in forest area. The findings emphasize the importance of preserving and restoring mosaic landscapes for biodiversity, sustainability, and ecosystem services.
Article
Environmental Sciences
Raul Hoffren, Maria Teresa Lamelas, Juan de la Riva
Summary: This study evaluates the classification of Prometheus fuel types in forest plots using photogrammetric point clouds and multispectral indices obtained from a fixed-wing UAV. The results demonstrate the ability of UAV imagery to classify forest fuels in Mediterranean environments when RGB and multispectral data are combined.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2023)
Review
Environmental Sciences
Hafiz Mohkum Hammad, Hafiz Muhammad Fasihuddin Nauman, Farhat Abbas, Rashid Jawad, Wajid Farhad, Muhammad Shahid, Hafiz Faiq Bakhat, Aitazaz A. Farooque, Muhammad Mubeen, Shah Fahad, Artemi Cerda
Summary: COVID-19 is a viral and transferable disease caused by severe respiratory syndrome-coronavirus-2 that spreads through breathing droplets. It has negative impacts on environmental pollution, such as increased release of contaminants and waste generation. However, lockdown measures during the pandemic have reduced environmental pollution and improved air and water quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Remote Sensing
Raul Hoffren, Maria Teresa Lamelas, Juan de la Riva, Dario Domingo, Antonio Luis Montealegre, Alberto Garcia-Martin, Sergio Revilla
Summary: This study evaluates NASA's Global Ecosystem Dynamics Investigation (GEDI) system's ability to classify fuel types in Mediterranean environments using the Prometheus model in a forested area of NE Spain. Variables related to height metrics, canopy profile metrics, and aboveground biomass density estimates were extracted from GEDI products L2A, L2B, and L4A, respectively. The integration of spectral indices created from Landsat-8 OLI scenes with GEDI variables improved the accuracy of fuel type estimation. The results demonstrate the effectiveness of GEDI for fuel type classification, providing promising information for large-scale forest management.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Ecology
Narendra Nelli, Diana Francis, Ricardo Fonseca, Olivier Masson, Mamadou Sow, Emmanuel Bosc
Summary: This study investigates the changes in the atmospheric electric field (Ez) during foggy conditions in the hyperarid region of the United Arab Emirates. The results show that as fog persists, Ez becomes more variable due to the absorption and redistribution of charges by the fog, which alters the ion balance and affects electrical conductivity in the atmosphere.
JOURNAL OF ARID ENVIRONMENTS
(2024)
Article
Ecology
Ezra Hadad, Amir Balaban, Jakub Z. Kosicki, Reuven Yosef
Summary: This study investigated whether the prey of striped hyenas has adapted to the change in the natural environment caused by human activities, particularly artificial light at night (ALAN). The results showed that ALAN had no impact on the diet or den distribution of the hyenas in central Israel. The study also found that domestic animals were the most common prey, and there were also some vegetative species in their diet. Overall, the feeding behavior of striped hyenas is influenced by geographical region, habitat, and human activities.
JOURNAL OF ARID ENVIRONMENTS
(2024)
Article
Ecology
Rahim Najafi Tireh Shabankareh, Pardis Ziaee, Mohammad Javad Abedini
Summary: This study evaluated the IMERG satellite-based precipitation product in the Fars province of Iran using daily rain gauges as reference data. The results showed that the product tends to overestimate light rainfall and underestimate heavy rainfall, with the best performance in the 40-80 mm/day range. The accuracy of the product varies by month and is less biased in months with milder temperatures. Additionally, there was a higher correlation in mid-elevated areas, positive bias in low-elevated areas, and negative bias in high-elevated areas. Longer time scales showed considerable improvement in the IMERG estimates.
JOURNAL OF ARID ENVIRONMENTS
(2024)
