Results 51 to 60 of about 5,509 (173)

Butterfly abundances but not patch occupancy buffered by vegetation heterogeneity during climatic extremes

Ecography, Volume 2026, Issue 10, October 2026.
As extreme climatic events are becoming more frequent, we need to understand what mechanisms could buffer populations to ensure their persistence. Fragmented populations may be especially vulnerable, as exemplified by species with metapopulation dynamics whose persistence is determined by a precarious balance between frequent local extinctions and ...
Natalie E. van Dis, Mirkka M. Jones, Pekka Niittynen, Miska Luoto, Jukka Sirén, Marjo Saastamoinen   +5 more
wiley   +1 more source

Data-driven soil salinization mapping: risk prediction and uncertainty quantification based on Bayesian inference

Geoderma
Soil salinization poses a serious global threat to agricultural production and has emerged as a critical issue of land degradation. To comprehensively investigate the risks and uncertainty quantification associated with soil salinization, Yucheng County,
Yujian Yang, Ying Zhao, Rongjiang Yao, Xueqin Tong   +3 more
doaj   +1 more source

A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Rising seas raise the vulnerability of coastal regions through higher extreme sea levels. This paper estimates extreme sea levels at gauged and ungauged coastal locations around Ireland and the West Coast of Great Britain, using a Bayesian hierarchical extreme‐value model with spatiotemporal random effects. The annual maxima of tidal residuals
Fernando Mayer, Niamh Mimnagh, Niamh Cahill   +2 more
wiley   +1 more source

Comparative Analysis of Correlative Modeling Methods in Predicting North American Bird Abundance

Ecology and Evolution, Volume 16, Issue 8, August 2026.
This study compares nine ecological niche model (ENM) methods to predict North American bird abundance and finds positive correlations between environmental suitability and abundance. Results highlight the potential of ENMs for abundance inference, with newer methods showing good performance and demonstrating that simpler data inputs can be effective ...
Jazmín Escobar‐Luján, Fabricio Villalobos, Adolfo G. Navarro‐Sigüenza, Carlos Yañez‐Arenas   +3 more
wiley   +1 more source

Spatial data fusion adjusting for preferential sampling using INLA and SPDE [PDF]

, 2023
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process.
Moraga, Paula, Zhong, Ruiman, Amaral, André Victor Ribeiro   +2 more
core   +1 more source

Evaluating the INLA-SPDE approach for Bayesian modeling of earthquake damages from geolocated cluster data

, 2020
Modeled damage estimates are an important source of information in the hours to weeks following major earthquake disasters, but often lack sufficient spatial resolution for highlighting specific areas of need. Using damage assessment data from the 2015 Gorkha, Nepal Earthquake, this paper evaluates a Bayesian spatial model (INLA-SPDE) for interpolating
openaire   +3 more sources

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling [PDF]

, 2023
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquitous.
Gaedke-Merzhäuser, Lisa, Janalik, Radim, Schenk, Olaf, Rue, Håvard, Krainski, Elias   +4 more
core   +1 more source

Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions

BMC Public Health, 2022
Background Despite a global decrease in malaria burden worldwide, malaria remains a major public health concern, especially in Benin children, the most vulnerable group.
Barikissou Georgia Damien, Akoeugnigan Idelphonse Sode, Daniel Bocossa, Emmanuel Elanga-Ndille, Badirou Aguemon, Vincent Corbel, Marie-Claire Henry, Romain Lucas Glèlè Kakaï, Franck Remoué   +8 more
doaj   +1 more source

Hierarchical Bayesian Modeling of Total Column Ozone: Unraveling Equatorial Variability Over Ethiopia Using Satellite Data and Multisource Covariates

Environmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT Understanding the spatiotemporal dynamics of total column ozone (TCO) is critical for monitoring ultraviolet (UV) exposure and ozone trends, particularly in equatorial regions where variability remains underexplored. This study investigates monthly TCO over Ethiopia (2012–2022) using a Bayesian hierarchical model implemented via Integrated ...
Yassin Tesfaw Abebe, Abdu Mohammed Seid, Lassi Roininen, U. Jaya Parakash Raju, Abebaw Bizuneh Alemu   +4 more
wiley   +1 more source

Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil

BMC Infectious Diseases, 2019
Background São José do Rio Preto is one of the cities of the state of São Paulo, Brazil, that is hyperendemic for dengue, with the presence of the four dengue serotypes. Objectives: to calculate dengue seroprevalence in a neighbourhood of São José do Rio
Francisco Chiaravalloti-Neto, Rafael Alves da Silva, Nathalia Zini, Gislaine Celestino Dutra da Silva, Natal Santos da Silva, Maisa Carla Pereira Parra, Margareth Regina Dibo, Cassia Fernanda Estofolete, Eliane Aparecida Fávaro, Karina Rocha Dutra, Manlio Tasso Oliveira Mota, Georgia Freitas Guimarães, Ana Carolina Bernardes Terzian, Marta Blangiardo, Mauricio Lacerda Nogueira   +14 more
doaj   +1 more source