Results 21 to 30 of about 3,153,242 (138)

Bioaccessibility of Metal(loid)s From Anthropogenic Contamination in Dry Riverbed Sediments in the Cartagena–La Unión Mining District (Murcia, SE Spain): Implications for Human Health Risk Assessment

Environmental Toxicology, EarlyView.
ABSTRACT This study assessed the contamination levels, bioaccessibility, and potential health risks of As, Cd, Cu, Pb, and Zn in sediments from three dry riverbeds (El Beal‐EB, Las Matildes‐LM, and Ponce‐PN) impacted by historical mining activities in the Cartagena‐La Unión Mining District.
José Gregorio Cuevas, Ángel Faz, Silvia Martínez‐Martínez, Juan Carlos Beltrá, Jacinto Martínez, José A. Acosta   +5 more
wiley   +1 more source

After the Fire, Hope Springs Eternal: Movements and Body Condition of Hermann's Tortoises in a Devastated Landscape

Animal Conservation, EarlyView.
Rapid assessment of the delayed impacts of fires on endangered species is essential for accurately guiding conservation efforts. After the fire, surviving Hermann's tortoises (Testudo hermanni) showed only minor behavior alterations, and burnt habitats continued to provide them with essential resources.
Clément Guénier, Arthur Baribeaud, Laura Madona, Sébastien Caron, Lucas Moreaux, Olivia Delorme, Alexia Le Floch, Dominique Guicheteau, Marie‐Claude Serra, Nicolas Kaldonski, Laurence Affre, Xavier Bonnet, Jean‐Marie Ballouard   +12 more
wiley   +1 more source

The pantropical biodiversity footprint of oil palm

Conservation Science and Practice, EarlyView.
Although oil palm expansion is a main driver of tropical deforestation, this is the first study that integrates species‐specific habitats to assess oil palm's biodiversity footprint globally. We find that 4.5% of forest‐dependent species lost more than 1% of their potential habitats to oil palm; São Tomé and Sri Lanka have the highest per‐hectare ...
Yingtong Zhu, Jacqueline Choo, Cong Xia, Luis Roman Carrasco   +3 more
wiley   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Enhancing Identifiable Variational Autoencoder in the Presence of Missing Values and Auxiliary Covariates for Spatio‐Temporal Ozone Modeling

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä, Sandra De Iaco, Claudia Cappello, Klaus Nordhausen, Monica Palma, Sara Taskinen   +5 more
wiley   +1 more source

Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley   +1 more source

Estimating Functions Inference to Semi‐Parametric Additive Models for Skewed And/Or Heavy‐Tailed Longitudinal Data

Australian &New Zealand Journal of Statistics, Volume 68, Issue 3, September 2026.
ABSTRACT In many fields of research, it is common to conduct experiments where several observations of the response variable are made on the same subject over non‐random conditions, generating longitudinal studies. A wide variety of techniques deal with this type of data when analysing population variations, many based on estimating functions.
João Victor B. de Freitas, Caio L. N. Azevedo, Juvêncio S. Nobre   +2 more
wiley   +1 more source

Effects of Landscape Pattern on Spatial Distribution of Soil Organic Carbon Content in a Typical Lakeside Oasis

Land Degradation &Development, Volume 37, Issue 14, Page 10494-10512, 30 August 2026.
ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
wiley   +1 more source

Subsurface Vertical Connectivity Shapes Solute Transport to Montane Streams: Insights From Watershed‐Scale Geophysics‐Informed Modeling

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Headwater catchments provide essential water and nutrients to downstream ecosystems. The timing and evolution of their transport is shaped in part by the “invisible” subsurface structure but have been largely unexplored at the watershed scale.
Xueyuan Kang, Pamela L. Sullivan, Burke J. Minsley, Li Li, Marc Dumont, Kamini Singha   +5 more
wiley   +1 more source

Measuring galaxy segregation with the mark connection function [PDF]

, 2010
Context. The clustering properties of galaxies belonging to different luminosity ranges or having different morphological types are different. These characteristics or “marks” permit us to understand the galaxy catalogs that carry all this information as
V. Martínez, P. Arnalte-Mur, D. Stoyan
semanticscholar   +1 more source