Results 131 to 140 of about 38,389 (265)

Drivers of Host–Pathogen Community Assemblages in European Forests and Urban Green Spaces

open access: yesIntegrative Zoology, EarlyView.
ABSTRACT Despite advances in understanding infectious diseases, the persistence and re‐emergence of wildlife pathogens continue to raise public and veterinary health concerns. This study investigates the relationship between biodiversity and rodent‐borne diseases in Europe, focusing on habitat alterations and their impact on rodent diversity.
Vincent Sluydts   +21 more
wiley   +1 more source

MCMC Correction of Score-Based Diffusion Models for Model Composition. [PDF]

open access: yesEntropy (Basel)
Sjöberg A   +4 more
europepmc   +1 more source

Accuracy of occurrence and abundance estimates from insect metabarcoding

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract DNA metabarcoding—high‐throughput sequencing of barcode regions from bulk samples—has become a key tool for insect biodiversity assessment. Yet, how methodological choices affect the accuracy of metabarcoding data remains insufficiently explored. In this paper, we ask: (1) How does the lysis method (non‐destructive lysis vs.
Ela Iwaszkiewicz‐Eggebrecht   +12 more
wiley   +1 more source

BIMr2: Inference of migration rates and their drivers from multilocus genotypes

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Understanding how environmental factors drive recent migration is crucial for predicting species' responses to habitat change and for informing conservation strategies. There is one method available (BIMr) aimed at identifying the environmental factors associated with migration patterns using genetic data.
Igor J. Chybicki   +2 more
wiley   +1 more source

sabinaHSBM: An R package for link prediction and network reconstruction using hierarchical stochastic block models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Network analysis is a powerful framework for investigating complex systems across disciplines, including ecology. However, ecological network data are often incomplete or error‐prone due to sampling limitations, detection failures and taxonomic uncertainty—leading to missing (false negative) and spurious (false positive) links that obscure ...
Herlander Lima   +4 more
wiley   +1 more source

Link prediction in ecological meta‐networks under extreme taxonomic bias

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Ecological networks offer powerful insights into community function but, without first characterizing these networks accurately, our ability to detect and interpret changes under environmental stress is limited. We develop an extension of the Covariate‐Informed Link Prediction (COIL) framework to reduce bias in ecological link prediction when ...
Jennifer N. Kampe   +2 more
wiley   +1 more source

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