Results 71 to 80 of about 20,362 (180)

Whole‐Genome Sequence Profiling of Listeria innocua From Different Sources: Implications for Public Health

MicrobiologyOpen, Volume 15, Issue 2, April 2026.
The studied strains, LIN_NWU_CNKT and LIN5_NWU_CNKT, exhibit invasiveness, pathogenicity, and MDR profiles. The isolation of these strains from food products and water underscores their significant public health implications, particularly in the context of the “One Health” concept.
Christ‐Donald Kaptchouang Tchatchouang, Daniel Jesuwenu Ajose, Giulia Amagliani, Collins Njie Ateba   +3 more
wiley   +1 more source

Should you use data integration for your distribution model?

Journal of Animal Ecology, Volume 95, Issue 4, Page 591-604, April 2026.
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein, Jeffrey W. Doser, Brent S. Pease, Krishna Pacifici   +3 more
wiley   +1 more source

Anthropogenic disturbance modifies spatial patterns of reef sharks

Journal of Applied Ecology, Volume 63, Issue 4, April 2026.
Species‐specific sensitivities mean that non‐extractive human presence can strongly reshape reef predator distributions even where fishing pressure is limited. Integrating tourism intensity and coastal development into marine spatial planning is therefore essential for reef shark conservation, and combining ecological surveys with open‐source social ...
Twan Stoffers, Jimmy van Rijn, Martin de Graaf, Hendrik V. Winter, Tadzio Y. Bervoets, Mark E. Bond, Chris C. Duinmeijer, Michael Heithaus, Matthew Needle, Georgios Papageorgiou, Jan Jaap Poos, Stijn Schep, Koen Tieskens, Leopold A. J. Nagelkerke   +13 more
wiley   +1 more source

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya   +5 more
wiley   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, Volume 600, Issue 6, Page 864-893, March 2026.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

Biofilm-isolated Listeria monocytogenes exhibits reduced systemic dissemination at the early (12–24 h) stage of infection in a mouse model

npj Biofilms and Microbiomes, 2021
Environmental cues promote microbial biofilm formation and physiological and genetic heterogeneity. In food production facilities, biofilms produced by pathogens are a major source for food contamination; however, the pathogenesis of biofilm-isolated ...
Xingjian Bai, Dongqi Liu, Luping Xu, Shivendra Tenguria, Rishi Drolia, Nicholas L. F. Gallina, Abigail D. Cox, Ok-Kyung Koo, Arun K. Bhunia   +8 more
doaj   +1 more source

An Extended Laplace Approximation Method for Bayesian Inference of Self-Exciting Spatial-Temporal Models of Count Data [PDF]

, 2017
Self-Exciting models are statistical models of count data where the probability of an event occurring is influenced by the history of the process. In particular, self-exciting spatio-temporal models allow for spatial dependence as well as temporal self ...
Clark, Nicholas, Dixon, Philip, Dixon, Philip   +2 more
core   +2 more sources

Beyond Local Footprints: Disentangling Large‐Scale Redistribution and Local Abundance Responses to Offshore Wind Farms

Ecology and Evolution, Volume 16, Issue 3, March 2026.
We combine regression‐based species distribution models with a mechanistic redistribution component to assess how regional human activities affect animal distribution and abundance across spatial scales. Applied to common murres (Uria aalge) in the German North Sea, the framework indicates scenario‐based reductions in numbers within German waters of 18.
Moritz Mercker, Verena Peschko, Kai Borkenhagen, Nele Markones, Henriette Schwemmer, Volker Dierschke, Stefan Garthe   +6 more
wiley   +1 more source

Species distribution modeling with expert elicitation and Bayesian calibration

Ecography, Volume 2026, Issue 3, March 2026.
Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collecting species data is difficult or expensive, complementary information sources on species distributions are needed.
Karel Kaurila, Sanna Kuningas, Antti Lappalainen, Jarno Vanhatalo   +3 more
wiley   +1 more source

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann   +3 more
wiley   +1 more source