Results 71 to 80 of about 8,734 (183)

Model‐Based Data Integration Improves Species Distribution Models for Data‐Deficient and Narrow‐Ranged Hummingbird Species

Diversity and Distributions, Volume 32, Issue 3, March 2026.
ABSTRACT Aim For species with narrow ranges or low population sizes, a deficiency of species occurrence records can limit the capacity to build accurate species distribution models (SDMs). Model‐based integration of data from multiple sources has been offered as a solution to improve predictions of species' distributions at large scales, especially for
Jussi Mäkinen, Jeremy Cohen, Walter Jetz   +2 more
wiley   +1 more source

Where Are the Important Hotspots for Forest Biodiversity? A Detailed Spatial Analysis for the Australian State of Victoria

Austral Ecology, Volume 51, Issue 2, February 2026.
ABSTRACT Identifying areas of high biodiversity value is critical for effective conservation. Similarly, identifying gaps in existing protected area networks is fundamental to determining where new areas are needed to better conserve biodiversity. We conducted a spatial prioritisation analysis for forest and woodland‐dependent species across Victoria ...
Chris Taylor, David Lindenmayer
wiley   +1 more source

hrue/r-inla: This is the public repository for the r-inla project

, 2020
This is the public repository for the r-inla ...
Niekerk, Janet van, Gaedke-Merzhäuser, Lisa, Schenk, Olaf, Rue, Haavard   +3 more
core  

Patterns and Drivers of Pest and Disease Occurrence in UK Treescapes

Global Change Biology, Volume 32, Issue 2, February 2026.
Tree pests and diseases can be very damaging to natural and commercial forests. We studied how the risk of tree pests and diseases varies across mainland Great Britain and explored how factors such as urbanisation and recreational visits affect the level of risk in different places.
Peter S. Stewart, Louise J. Barwell, Katharine Turvey, Jane Barbrook, Sarah Green, Ana Pérez‐Sierra, Bethan V. Purse, Daniel Chapman   +7 more
wiley   +1 more source

Proximity to seabird colonies and water availability shape moss distributions in Antarctica

Ecography, Volume 2026, Issue 1, January 2026.
Understanding species distributions across Antarctica is crucial for biodiversity conservation under climate change, but continental‐scale analyses of key terrestrial species remain scarce. Here, we modelled distributions of 28 moss species across Antarctica using log‐Gaussian Cox process models and environmental covariates including topographic ...
Gabrielle Koerich, Hao Ran Lai, Charles K. Lee, Fraser J. Morgan, Jonathan D. Tonkin   +4 more
wiley   +1 more source

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting

Environmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Airborne particulate matter (PM2.5$$ {\mathrm{PM}}_{2.5} $$) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a novel Bayesian spatiotemporal fusion model to estimate monthly PM2.5$$ {\mathrm{PM}}_{2.5} $$ concentrations over Greater London (2014–2019 ...
Abi I. Riley, Marta Blangiardo, Frédéric B. Piel, Andrew Beddows, Sean Beevers, Gary W. Fuller, Paul Agnew, Monica Pirani   +7 more
wiley   +1 more source

Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos [PDF]

, 2022
El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a través de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas.
Macchiavelli, Raúl, Mónica, Balzarini, Giannini-Kurina, Franca, Paccioretti, Pablo, Suarez, Franco   +4 more
core  

Quantifying urban tree canopy cooling capacity using Bayesian hierarchical models and satellite imagery

PLANTS, PEOPLE, PLANET, Volume 8, Issue 1, Page 338-352, January 2026.
Cities are getting hotter because of climate change and urban development, increasing risks to health and well‐being. We analyzed how increasing urban tree canopy cover in city areas of 900 m2 can reduce land surface temperatures, using detailed aerial‐LiDAR and satellite data with Bayesian hierarchical models.
Ángel Ruiz‐Valero, Jaime Francisco Pereña‐Ortiz, Isidro Martín‐Lozano, Álvaro Cortés‐Molino, Pablo Cozano‐Pérez, Begoña Galindo‐Ruiz, Luis Alberto Díaz‐Galiano, Ángel Enrique Salvo‐Tierra   +7 more
wiley   +1 more source

Spatio-temporal modeling of particulate matter concentration through the SPDE approach [PDF]

, 2013
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a state process characterized by
CAMELETTI, Michela
core   +2 more sources

Mapping habitat suitability of subtidal mussels Mytilus edulis in the Dutch western Wadden SeaZenodo

Ecological Informatics
Understanding environmental predictor variables of species occurrence may contribute to conservation management. In this paper we test the use of a spatial binomial model, estimated with the combined INLA-SPDE method, to relate the probability of ...
Jaap van der Meer, Oscar Franken, Sander Glorius, Tjisse van der Heide, Karin Troost, Roy van Weerdenburg   +5 more
doaj   +1 more source