Results 61 to 70 of about 618 (156)

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

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

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

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

Digital Soil Mapping Approaches for Assisting Site-Specific Soil Management in Sugarcane Growing Areas

, 2020
The Australian sugarcane industry has developed the “Six Easy Steps” nutrient and ameliorant management guidelines with the aim of optimising productivity and profitability, without adversely influencing the soil condition and causing off-farm effects ...
Li, Nan
core   +1 more source

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

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

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

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