Article
Biodiversity Conservation
K. Cuddington, S. Sobek-Swant, J. Drake, W. Lee, M. Brook
Summary: Giant hogweed is a globally invasive plant that can cause phototoxic reactions, leading to burns and hyperpigmentation, posing economic costs and health impacts. Models suggest that its potential range in North America overlaps with areas of high human population density, but most of the core areas have already been invaded, with potential for further spread in adjacent regions and less populated mountainous and maritime areas.
BIOLOGICAL INVASIONS
(2022)
Article
Multidisciplinary Sciences
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgun, Peter M. Atkinson, Reza Derakhshani
Summary: The study developed a CNN-DNN model for landslide susceptibility mapping in Isfahan province, demonstrating high prediction accuracy compared to benchmark machine learning techniques. The model revealed high-susceptibility areas in the west and southwest of Isfahan province, proving useful for landslide risk management and land use planning.
SCIENTIFIC REPORTS
(2021)
Article
Forestry
Andrzej M. Jagodzinski, Pawel Horodecki, Anna K. Jasinska, Tomasz Malinski, Zenon Pilarek, Kacper Wozniak, Dorota Wronska-Pilarek, Jerzy Zielinski, Marcin K. Dyderski
Summary: Biological invasions pose a significant threat to biodiversity, and this study focuses on the spread of xSorbaronia ' Mitschurinii ' into temperate Scots pine forests. The study found that the density and biomass of the species decreased with distance from the propagule source, but increased with the maximal age and light availability of the studied plant. The study highlights the importance of managing high-density plantations of alien species to prevent their transformation into invasion hotspots.
Article
Green & Sustainable Science & Technology
Hitalo Tobias Lobo Lopes, Luis Rodrigo Fernandes Baumann, Paulo Sergio Scalize
Summary: In Brazilian rural communities, the contamination of dug shallow well (DSW) water is predicted using a generalized linear model. The model considers factors such as water quality, distance to contamination sources, structural conditions, and local geology. The final model includes variables such as well diameter, contour paving width, and the existence of poultry and swine husbandry. The model has an accuracy of 82.61%, with a true positive predictor of 82.18% and a negative predictor of 85.71%.
Article
Chemistry, Analytical
Svjatoslavs Kistkins, Timurs Mihailovs, Sergejs Lobanovs, Valdis Pirags, Harald Sourij, Othmar Moser, Dmitrijs Bliznuks
Summary: This study investigated the effectiveness of three different predictive models for glucose level classification and found that logistic regression model performs best for short-term glucose prediction, while LSTM model performs best for long-term glucose prediction.
Article
Multidisciplinary Sciences
Xiaoting Zhou, Weicheng Wu, Yaozu Qin, Xiao Fu
Summary: This paper proposes an integrated methodology for mapping landslide hazard in subtropical area, with improved prediction results using hybrid modeling. The study shows the effectiveness of the proposed hybrid modeling, with Random Forest algorithm performing the best among the observed ML algorithms. The research can provide operational reference for predicting landslide hazard in the subtropical area.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Kourosh Shirani, HamidReza Peyrowan, Samad Shadfar, Shamsollah Asgari
Summary: Delineating areas susceptible to gully erosion is essential and can be achieved with high accuracy and low cost using significant factors and statistical models. In this study, a gully erosion susceptibility map was developed in western Iran using hydro-geomorphometric parameters and geographic information system. The results showed that the geographically weighted regression model outperformed the frequency ratio and logistic regression models in terms of accuracy and performance. The application of hydro-geomorphological parameters is crucial in zoning gully erosion susceptibility.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Medicine, General & Internal
Claudio Fanconi, Anne de Hond, Dylan Peterson, Angelo Capodici, Tina Hernandez-Boussard
Summary: Machine learning predictions are being integrated into medical practice, and Bayesian logistic regression models offer better uncertainty estimation for risk predictions in cancer patients. This study found that these models perform similarly to standard logistic regression models and can identify patient subgroups with higher uncertainty.
Article
Environmental Sciences
Sima Pourhashemi, Mohammad Ali Zangane Asadi, Mahdi Boroughani, Hossein Azadi
Summary: This study combines remote sensing and statistical models to map land susceptibility to dust emissions in the Iran-Iraq border area. It finds that land use is the most significant factor influencing dust emissions. The results are important for planners and managers in controlling and reducing the negative consequences of dust.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Medicine, General & Internal
Yuanquan Zheng, Yingli Nie, Jingjing Lu, Hong Yi, Guili Fu
Summary: Through weighted gene co-expression network analysis and functional annotation analysis, we identified key genes associated with the severity of AA. Serum levels of proteins coded by these genes were quantitatively detected and found to be significantly increased (CD8A, PRF1, and XCL1) or decreased (BMP2) in AA tissues, especially in the subtypes of AT and AU. The serum levels of these markers were also found to be closely correlated with the Severity of Alopecia Tool (SALT) score. A prediction model combining multiple markers was established and showed high accuracy in forecasting the recurrence of AA patients.
FRONTIERS IN MEDICINE
(2023)
Article
Public, Environmental & Occupational Health
Lulu Hou, Lele Chen, Wenpei Zhang
Summary: A large sample study found a high comorbidity between premenstrual syndrome (PMS) and depression, and demonstrated that PMS can predict the development of depression.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Engineering, Geological
Badal Pokharel, Omar F. Althuwaynee, Ali Aydda, Sang-Wan Kim, Samsung Lim, Hyuck-Jin Park
Summary: This study compared common random selection method and alternative sampling strategies based on clustering distribution concepts, finding that the latter was more efficient and accurate, especially the EM/GMM model performed the best, expanding the research methods of landslide susceptibility model.
Article
Clinical Neurology
Feng Chen, Xiankun Meng, Tong Li, Zhiming Xu, Shengli Li, Yong Zhou, Xiaoqun Hou, Shougang Tan, Lin Mei, Luo Li, Bowen Chang, Weimin Wang, Mingxing Liu
Summary: This study aimed to evaluate and identify potential risk factors for DBS infections. BMI, blood glucose, and albumin were significant predictors of infection after DBS surgery. The nomogram showed reliability for clinical application.
NEUROSURGICAL FOCUS
(2022)
Article
Multidisciplinary Sciences
Yasin Wahid Rabby, Yingkui Li, Haileab Hilafu
Summary: The accuracy and quality of landslide susceptibility mapping can be improved by using the proposed objective method based on Mahalanobis distances (MD) to determine the critical value for sampling absence data. In this study, the method was applied to three subdistricts in Rangamati district, Bangladesh and compared with a slope-based sampling method. The results showed that the proposed method produced a landslide susceptibility map with higher model fitting, prediction, and Kappa values compared to the slope-based sampling method. Therefore, it is recommended to use MD-based absence data sampling for landslide susceptibility mapping.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Narges Kariminejad, Hamid Reza Pourghasemi, Mohsen Hosseinalizadeh
Summary: Quantitative spatial analysis using GIS and R software has been an effective tool to study natural hazards and their interactions. This study developed multi-hazard susceptibility maps using data mining techniques, GIS tools, and unmanned aerial vehicles. By applying linear regression models and seven classifiers, the study identified the most influential morphometric parameters on collapsed pipes, gully heads, and landslides. The results showed that the majority of the study region had low susceptibility to these hazards. The validation results indicated high accuracy of the applied models. The study highlighted the importance of understanding the interrelated effects of multiple hazards for sustainable environmental management and socio-economic development.
SCIENTIFIC REPORTS
(2022)
Article
Biodiversity Conservation
Sandra Rojas-Botero, Johannes Kollmann, Leonardo H. Teixeira
Summary: The study found that biotic resistance plays a key role in inhibiting the invasion of Solidago gigantea during early stages of restoration, while the effects of environmental fluctuations were inconsistent. Designing grassland communities based on competitive trait hierarchies can effectively reduce invasibility, while high non-native propagule pressure increases the risk of invasion. Environmental fluctuations play a secondary role compared to biotic drivers of invasion.
BIOLOGICAL INVASIONS
(2022)
Article
Environmental Sciences
Romy Woellner, Thomas C. Wagner, Julie Crabot, Johannes Kollmann
Summary: Braided reaches were common along near-natural Alpine rivers, supporting plant and animal species specialized on early-successional stages. Human impacts have reduced active river corridors, but recent restoration projects aim at increasing river dynamics. Historical data shows that gravel bar area along five Alpine rivers has decreased by over 90% since the mid-19th century.
RIVER RESEARCH AND APPLICATIONS
(2022)
Article
Ecology
Sarah Redlich, Jie Zhang, Caryl Benjamin, Maninder Singh Dhillon, Jana Englmeier, Joerg Ewald, Ute Fricke, Cristina Ganuza, Maria Haensel, Thomas Hovestadt, Johannes Kollmann, Thomas Koellner, Carina Kuebert-Flock, Harald Kunstmann, Annette Menzel, Christoph Moning, Wibke Peters, Rebekka Riebl, Thomas Rummler, Sandra Rojas-Botero, Cynthia Tobisch, Johannes Uhler, Lars Uphus, Jorg Mueller, Ingolf Steffan-Dewenter
Summary: The study introduces a multi-scale space-for-time design to disentangle the effects of climate and land use on biodiversity and ecosystem services. The implementation in Bavaria, Germany resulted in study plots that maximize the range and independence of environmental variables at different spatial scales. Stratifying Bavaria into five climate zones and three land-use types allowed for an independent assessment of the relative contribution of climate and land use on biodiversity and ecosystem services.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Ecology
Marie-Therese Krieger, Julia Ditton, Harald Albrecht, Luise Linderl, Johannes Kollmann, Leonardo H. Teixeira
Summary: Changes in grassland management can affect community structure and the spread of invasive plants. This study shows that light reduction can effectively suppress the growth and spread of a native invasive plant in grasslands.
ECOLOGICAL ENGINEERING
(2022)
Article
Environmental Sciences
Christina Fischer, Hans Martin Hanslin, Knut Anders Hovstad, Marcello D'Amico, Johannes Kollmann, Svenja B. Kroeger, Giulia Bastianelli, Jan C. Habel, Helena Rygne, Tommy Lennartsson
Summary: High-value roadsides play an important role in improving landscape permeability. Increasing the ratio of high-value roadsides can enhance both structural and functional connectivity in landscapes with low permeability. In landscapes with high permeability, roadsides only support movement of specialized species. Therefore, land management should focus on the preservation and restoration of semi-natural grasslands.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Plant Sciences
Romy Woellner, Christian Braeuchler, Johannes Kollmann, Thomas C. Wagner
Summary: This paper summarizes the published information on taxonomy, morphology, habitat requirements, and distribution of the endemic plant species Chondrilla chondrilloides in the Eastern European Alps. The research shows that the species has the ability to rapidly respond to habitat degradation and restoration along gravel rivers. Populations in the southern parts of the species' range are larger, with bigger plants and more reproduction, while seed germination is high in all populations.
PERSPECTIVES IN PLANT ECOLOGY EVOLUTION AND SYSTEMATICS
(2022)
Article
Ecology
Leonardo H. Teixeira, Markus Bauer, Michaela Moosner, Johannes Kollmann
Summary: River dikes are important secondary habitats that can provide multiple ecosystem services, including erosion control, habitat conservation, recreation, and biomass production. The multifunctionality of dike grasslands can be enhanced through site preparation, trait-based seeding design, and grassland management. With the increasing importance of dike multifunctionality under climate change, spatio-temporal variability of vegetation should also be considered in restoration and management approaches. Cooperation between conservation and river authorities, and the use of ecological knowledge and experiments, can further improve the restoration and management of dike grasslands.
BASIC AND APPLIED ECOLOGY
(2023)
Article
Multidisciplinary Sciences
Sandra Rojas-Botero, Leonardo Teixeira, Johannes Kollmann
Summary: Urban grasslands play a crucial role in maintaining biodiversity and ecosystem services in cities, but their multifunctionality under climate change remains poorly understood. This study simulated climate change scenarios in grassland ecosystems and found that reduced precipitation had a significant impact on multifunctionality. Furthermore, grasslands with an even ratio of plant functional types showed greater resilience to climate change.
Article
Ecology
Marie-Therese Krieger, Leonardo H. Teixeira, Kerstin Grant, Johannes Kollmann, Harald Albrecht
Summary: Grasslands are managed to provide multiple goods and services. However, recent decades have seen the abandonment of marginal grasslands and intensification of the most productive sites, leading to biodiversity losses and reduced ecosystem services. Invasion by unwanted plants, such as Jacobaea aquatica, further impairs ecosystem services by compromising fodder quality and endangering animal health. To address this issue, different management regimes were tested in wet grasslands of Southern Germany, and moderate management was found to strike a balance between controlling J. aquatica and maintaining grassland multifunctionality.
BASIC AND APPLIED ECOLOGY
(2023)
Article
Ecology
Sandra Rojas-Botero, Leonardo H. H. Teixeira, Paula Prucker, Veronika Kloska, Johannes Kollmann, Soizig Le Stradic
Summary: The current challenges of functional responses in plant communities to climate change require multi-factorial experiments. Moreover, studies on climate change should focus on below-ground responses, especially the traits and biomass allocation of absorptive roots. Therefore, this study aimed to understand how climate change affects absorptive roots in young mesocosm grasslands by manipulating three components.
FUNCTIONAL ECOLOGY
(2023)
Article
Ecology
Fernando Pulido, Bastien Castagneyrol, Francisco Rodriguez-Sanchez, Yonatan Caceres, Adara Pardo, Eva Moracho, Johannes Kollmann, Fernando Valladares, Johan Ehrlen, Alistair S. Jump, Jens-Christian Svenning, Arndt Hampe
Summary: By conducting a meta-analysis on global populations of plants and animals, it was found that marginal populations perform significantly worse than central populations, especially those at low latitudes. This performance difference is likely to be influenced by global climate change, and changes in demographic rates of marginal populations can serve as early-warning signals for range shifts.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Forestry
Markus Bauer, Martin Krause, Valentin Heizinger, Johannes Kollmann
Summary: Brick wastes resulting from construction and demolition pose a recycling challenge. Using bricks as planting substrates can reduce their deposition in landfills and partly replace other materials. This study investigated the effects of brick-based substrates on survival, growth, and functional traits of two urban trees. The results showed that brick quantity had a slight negative effect on the growth and branching of one tree species, while acid pre-treatment had a negative effect on the growth rate of another species. Overall, brick-based substrates had no clear effects on the study species.
TREES-STRUCTURE AND FUNCTION
(2023)
Article
Environmental Sciences
Yao Huang, Hongyue Cai, Shuguang Jian, Jun Wang, Johannes Kollmann, Dafeng Hui, Lei Zhang, Hongfang Lu, Hai Ren
Summary: Human disturbance affects the community structure and spatial distribution of forest soil seed banks on coral islands, increasing the diversity, richness, and density of seed banks as well as the richness of invasive species. Human disturbance alters the dispersal pattern of seeds, limiting the outward dispersal of resident species and promoting the inward dispersal of invasive species. Soil properties, plant characteristics, and human disturbance explain 23-45% of the spatial variation of forest soil seed banks on coral islands, with human disturbance reducing the correlations between plant communities and soil factors while increasing the correlations with landscape heterogeneity, road distance, and shrub and litter cover.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Biodiversity Conservation
Kelly G. Lyons, Peter Torok, Julia-Maria Hermann, Kathrin Kiehl, Anita Kirmer, Johannes Kollmann, Gerhard E. Overbeck, Sabine Tischew, Edith B. Allen, Jonathan D. Bakker, Christy Brigham, Elise Buisson, Kerri Crawford, Peter Dunwiddie, Jennifer Firn, Devin Grobert, Karen Hickman, Soizig L. E. Stradic, Vicky M. Temperton
Summary: Grasslands are crucial for combating biodiversity and climate crises, and their restoration is essential. Multifunctional grassland restoration can restore biodiversity while also sequestering carbon. However, the importance of grassland preservation and restoration has been overlooked compared to forests, despite their contributions to human well-being and the environment.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Ecology
Leonardo H. Teixeira, Guilherme G. Mazzochini, Johannes Kollmann, Gislene Ganade
Summary: This study investigates the influence of species richness and phylogenetic relatedness on sapling survival and growth during early restoration of a riparian forest in NE Brazil. The results show that greater phylogenetic distance led to increased plant growth.
ECOLOGICAL SOLUTIONS AND EVIDENCE
(2022)