Results 71 to 80 of about 618 (156)

Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation [PDF]

, 2023
The ever-growing popularity of citizen science, as well as recent technological and digital developments, have allowed the collection of data on species' distributions at an extraordinary rate.
Boughey, Katherine, Dambly, Lea, Isaac, N, Jones, Katherine, O'Hara, R   +4 more
core  

Conservation Relevant Fine‐Scale Distribution and Habitat Associations of Threatened Elasmobranchs in Temperate Nearshore Waters

Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 35, Issue 12, December 2025.
ABSTRACT Elasmobranchs are globally threatened and experiencing ongoing declines. Understanding threatened elasmobranch distribution is critical for developing effective marine conservation strategies. However, our knowledge of fine‐scale elasmobranch habitat association and distribution in temperate nearshore systems is limited.
C. R. Hopkins, G. Cullen, R. L. Flatt, E. E. Brooker, D. M. Bailey, N. M. Burns   +5 more
wiley   +1 more source

Identifying potentially suitable and accessible refugia to mitigate impacts of an emerging disease on a rare tree

Conservation Biology, Volume 39, Issue 6, December 2025.
Abstract Identifying refugia from emerging threats is vital to ensure the persistence of rare and threatened species, but modeling habitat distribution for these species is challenging and the role of people in refuge management is rarely considered. Myrtle rust is an emerging infectious disease that represents a grave threat to the rare wetland tree ...
Sarah M. Herbert, Stephanie A. Tomscha, Hao Ran Lai, Rubianca Benavidez, Colan G. Balkwill, Pearl R. Ruston, Bethanna Jackson, Julie R. Deslippe   +7 more
wiley   +1 more source

Efficient Likelihood and Machine‐Learning Models for Spatiotemporal Rainfall Estimation and Imputation

International Journal of Climatology, Volume 45, Issue 13, 15 November 2025.
Ireland's rainfall monitoring network provides a large spatiotemporal climate dataset, with many stations reporting missing entries during the monitoring period (1981–2010). Filling these gaps is essential for producing climate reports; however, additional consideration is required during modeling to maintain computational feasibility.
Brian O'Sullivan, Gabrielle Kelly
wiley   +1 more source

Precipitation and Temperature‐Dependent Locomotor Performance Drive the Abundance of a Neotropical Lizard

Biotropica, Volume 57, Issue 6, November 2025.
We investigated how climate and ecophysiology affect the demography of the lizard Tropidurus oreadicus in the Brazilian Cerrado. While lizards were more frequently captured in the dry season, their abundance peaked during the rainy season when their locomotor performance was highest.
Raquel da Silva Acácio, Heitor Campos de Sousa, Thiago Costa Gonçalves Portelinha, Guarino Rinaldi Colli, Adriana Malvasio   +4 more
wiley   +1 more source

Patterns and drivers of biotic disturbance hotspots in western United States coniferous forests

Ecography, Volume 2025, Issue 9, September 2025.
Globally, forest disturbances caused by herbivorous insects and plant pathogens (i.e. biotic disturbances) have increased since the 1990s, a trend linked in part to climate warming. With increases in biotic disturbance activity, an emerging ecological phenomenon has been documented: biotic disturbance ‘hotspots', or areas where two or more biotic ...
Michele S. Buonanduci, Sarah J. Hart, Patrick C. Tobin, Brian J. Harvey   +3 more
wiley   +1 more source

Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method [PDF]

Atmospheric Chemistry and Physics
Starting from the regional air quality forecasts produced by the Copernicus Atmosphere Monitoring Service (CAMS), we propose a novel post-processing approach to improve and downscale results on a finer scale.
A. Riccio, A. Riccio, E. Chianese
doaj   +1 more source

Addressing spatial confounding in geostatistical regression models: An R‐INLA approach

Methods in Ecology and Evolution, Volume 16, Issue 9, Page 2082-2097, September 2025.
Abstract Spatial confounding, which has been studied extensively in recent years, can explain inconsistencies between results obtained by regression models with and without spatial modelling. While the most common solutions for spatial confounding mitigation often target areal data or geostatistical data modelling by splines, we aim to extend some ...
Jérémy Lamouroux, Alizée Geffroy, Sébastien Leblond, Caroline Meyer, Isabelle Albert   +4 more
wiley   +1 more source

Development of spatio-temporal data fusion frameworks for point and gridded soil moisture data [PDF]

Monitoring soil moisture can play an important role in helping to inform researchers, regulators, and landowners about the available water content of the soil for agriculture and vegetation.
Zheng, Weiyue
core   +1 more source

Room to roam and hotspots of conservation conflicts: Lions, livestock and people in the matrix [PDF]

, 2022
Ph. D. ThesisGlobally, large terrestrial carnivores have suffered precipitous declines in population and range. Today, they must persist in increasingly isolated natural habitat patches within a human-dominated landscape matrix.
Sargent, Rebecca
core