Article
Ecology
James P. Michielini, Erik B. Dopman, Elizabeth E. Crone
Summary: The study used 27 years of citizen science monitoring data to quantify trends in butterfly phenology and relative abundance, finding that elongated activity periods within a year may be a key factor in increasing abundance. Some species appear to be adding a late-season generation, while others appear to be adding a spring generation, indicating a possible shift from vagrant to resident.
Article
Biology
Pau Colom, Miquel Ninyerola, Xavier Pons, Anna Traveset, Constanti Stefanescu
Summary: This study investigates the relationship between phenological shifts and population trends in north-western Mediterranean butterflies. They found that most species did not change their phenology despite climate warming, leading to a decline in overall species abundance. They also found that phenological sensitivity can predict population trends.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Environmental Sciences
S. M. Vicente-Serrano, D. Pena-Angulo, C. Murphy, J. Lopez-Moreno, M. Tomas-Burguera, F. Dominguez-Castro, F. Tian, L. Eklundh, Z. Cai, B. Alvarez-Farizo, I Noguera, J. J. Camarero, R. Sanchez-Salguero, A. Gazol, S. Grainger, T. Conradt, B. Boincean, A. El Kenawy
Summary: This study analyzed the impacts of drought severity on various sectors in the upper Aragon basin in the Central Spanish Pyrenees. Different sectors show varying responses to drought, making it challenging to establish universal drought thresholds.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Cristina Aguilar, Rafael Pimentel, Maria J. Polo
Summary: This study presents 19 years of high-spatial-resolution global radiation maps derived using a GIS-based model in Sierra Nevada mountain range, Spain. The modeling scheme was validated against daily global radiation records at weather stations and showed no clear trends with altitude in daily global radiation, but an increase in extreme statistics with altitude at monthly and annual scales. The monthly global radiation distribution was highly variable along the study period, with significant spatial differences and monthly variations.
EARTH SYSTEM SCIENCE DATA
(2021)
Article
Ecology
Werner Ulrich, Thomas Schmitt, Patrick Gros, Robert Trusch, Jan Christian Habel
Summary: The study analyzes museum data of butterflies and burnet moths from Germany and Austria to understand the spatiotemporal variability in insect abundances. The results show that population fluctuations and long-term trends in community composition are positively correlated across larger spatial distances and are influenced by global factors such as land use and urbanization. The study also highlights the importance of natural landscapes for conservation strategies due to their association with higher faunal compositional variability.
Article
Geosciences, Multidisciplinary
Shuang Yin, Chuankuan Wang, Zhenghu Zhou
Summary: Mountainous regions are vulnerable to climate warming, with the elevational gradient playing an important role in soil C and N storage patterns. Mean annual temperature was found to be the most significant driver of these variations. Low latitudes showed an increase in soil C and N storage with increasing elevation, while high latitudes exhibited a decrease or no change in C and N storage. The stable C:N ratio suggests high stoichiometric homeostasis. Decreasing elevation, or increasing temperature, may result in decreased C storage in low latitudes, but increased C storage in high latitudes.
Article
Geosciences, Multidisciplinary
Tonggang Fu, Jintong Liu, Guanyan Jiang, Hui Gao, Fei Qi, Feng Wang
Summary: Pedodiversity has significant effects on soil water movement, sediment transport, plant growth, biodiversity maintenance, and other ecological processes. This study analyzes the relationships between pedodiversity and two important ecosystem services, soil retention and water yield, and explores their temporal changes. The results show that higher pedodiversity is beneficial for soil and water conservation, but it may lead to a decrease in water yield. This research provides evidence for the importance of protecting pedodiversity and suggests new directions for further studies.
Article
Biodiversity Conservation
Zhaolin Wang, Ling Ou, Meng Chen
Summary: This study examines the evolution characteristics, drivers and trends of rural residential land in the Chengdu-Chongqing Economic Circle. The research finds that the competition between rural living space, rural production space and rural ecological space is a significant factor contributing to the evolution of rural residential land. The majority of rural residential land is concentrated in the Sichuan Basin and Chengdu plain area, with a dense distribution in the west and sparse distribution in the east. The size of rural residential land shows a fluctuant downward trend, but the spatial distribution pattern remains nearly unchanged in the long run. The research highlights the importance of considering spatial competition in future studies on the evolution of rural residential land.
ECOLOGICAL INDICATORS
(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
Environmental Sciences
Himan Shahabi, Reza Ahmadi, Mohsen Alizadeh, Mazlan Hashim, Nadhir Al-Ansari, Ataollah Shirzadi, Isabelle D. Wolf, Effi Helmy Ariffin
Summary: This study aimed to assess the effectiveness of three machine learning algorithms (RF, DT, and SVM) for landslide susceptibility mapping. The decision tree model showed the highest accuracy in identifying areas at risk for future landslides.
Article
Engineering, Civil
Milad Nouri, Mehdi Homaee
Summary: The study in data-scarce snowy areas of Iran found that snow depth and snow cover duration are decreasing trends, mainly influenced by temperature warming. More humid regions experienced more significant reductions in snow depth, while colder regions had smaller decreases in snowy day to wet day.
JOURNAL OF HYDROLOGY
(2021)
Article
Plant Sciences
Jun Yang, Jifeng Luo, Qiliang Gan, Leiyu Ke, Fengming Zhang, Hairu Guo, Fuwei Zhao, Yuehu Wang
Summary: The study conducted ethnobotanical surveys and inventories in Zhuxi County, Hubei Province, China, identifying 145 wild forage plants from 91 genera and 31 families. The most frequently cited families were Asteraceae, Polygonaceae, Urticaceae, and others, with whole plants and tender leaves being the most commonly used parts. The traditional knowledge of local people in utilizing and managing forage plants for pig feeding plays a vital role in the rural economy, highlighting the importance of conservation and research in this field.
Article
Biodiversity Conservation
Katherine A. Culbertson, Mark S. Garland, Richard K. Walton, Louise Zemaitis, Victoria M. Pocius
Summary: Research indicates that Eastern North American monarch butterflies are showing a significant delay in migration timing, which may be related to warming temperatures. While there is no significant change in population at the study location, data from overwintering sites in Mexico show a substantial decline in monarch abundance over the same period.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Geochemistry & Geophysics
Songyan Zhu, Hao Zhu, Jian Xu, Qiaolin Zeng, Dejun Zhang, Xiaoran Liu
Summary: High levels of surface ozone pollution pose a threat to human and environmental health in Chongqing, a mountainous area in southwest China. However, due to its complex terrain and foggy weather, studying ozone pollution in Chongqing presents challenges. In this study, we used advanced satellite data and a machine learning model to estimate surface ozone concentrations. Our results showed great advantages in estimating daily surface ozone levels, and we also identified the influence of the height difference between training and test sites on model performance.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Plant Sciences
Binu Timsina, Pavel Kindlmann, Sajan Subedi, Subhash Khatri, Maan B. Rokaya
Summary: The study found that the diversity of epiphytic orchids is primarily influenced by altitude, although other factors are also associated with species composition. Low-altitude habitats with high species diversity are the best places for epiphytic orchids in the region.
