W. F. Fagan

Intraspecific encounters can induce home-range shifts

This study investigates whether close intraspecific encounters lead to long-term spatial shifts in animal home ranges using movement data from coyotes and grizzly bears.

Nomadic ungulate movements under threat: Declining mobility of Mongolian gazelles in the Eastern Steppe.

This study shows that Mongolian gazelles have reduced long-distance movement by 36% over 15 years due to increasing vehicle traffic, despite no physical barriers.

movedesign: Shiny R app to evaluate sampling design for animal tracking movement studies

movedesign evaluates sampling design for animal tracking studies to assess precision in estimating home range, speed, and distance traveled.

Clarifying space use concepts in ecology: range vs. occurrence distributions

This paper distinguishes between range and occurrence distributions in ecology, showing that conflating them can lead to incorrect ecological inferences and conservation practices.

Sampling bias and the robustness of ecological metrics for plant-damage-type association networks

The paper assesses how sampling bias affects ecological metrics in plant-damage-type association networks and identifies sampling thresholds for robustness.

Population-level inference for home-range areas

This paper introduces a framework for population-level home-range analysis that accounts for temporal autocorrelation and uncertainty, applied to multiple species to quantify differences in movement patterns.

A semi-variance approach to visualising phylogenetic autocorrelation

This paper introduces variogram methods to visualize phylogenetic autocorrelation and demonstrates their utility in three empirical examples, showing how they can inform model selection.

Estimating encounter location distributions from animal tracking data

This paper introduces a new theoretical framework to estimate encounter location probabilities from animal tracking data and demonstrates its application using GPS data from capuchins and lizards.

Animal soundscapes reveal key markers of Amazon forest degradation from fire and logging

This study uses soundscapes to identify markers of Amazon forest degradation from fire and logging, finding that acoustic patterns change significantly after multiple fires but less so after logging.

Effects of substrate availability on growth and metabolism in soil microbes: Insights from theoretical modeling of studies of the Warburg effect and substrate-induced respiration

The paper models microbial respiration responses to substrate availability using a Warburg effect framework and validates predictions with substrate-induced respiration experiments.

A comprehensive framework for handling location error in animal tracking data

This paper introduces a framework for handling location error in animal tracking data, showing that error-model selection improves analysis accuracy across various tracking devices and species.

Deciphering trophic interactions in a mid-Cambrian assemblage

The paper presents a high-resolution Cambrian fossil dataset and a new preservation bias measure to analyze trophic interactions using network science, finding a shift from specialist to generalist interactions.

Linking high GC content to the repair of double strand breaks in prokaryotic genomes

The paper links high GC content in prokaryotic genomes to the repair of double-strand breaks via the non-homologous end joining pathway, suggesting GC content may be an adaptive response to repair needs.

Implicit versus explicit control strategies in models for vector-borne disease epidemiology

This paper compares implicit and explicit control strategies in vector-borne disease models, showing that implicit control is only a valid approximation when synergistic effects are negligible.

Predictor species: Improving assessments of rare species occurrence by modelling environmental co-responses

The paper introduces a Bayesian network approach to improve rare species occurrence predictions by modeling environmental co-responses, outperforming single-species and conventional multi-species models for rare species with limited calibration data.

Ecology Shapes Microbial Immune Strategy: Temperature and Oxygen as Determinants of the Incidence of CRISPR Adaptive Immunity

The paper develops a predictive model of CRISPR incidence in bacteria and archaea using phylogenetically-corrected machine learning, revealing ecological drivers like temperature and oxygen levels.

Selective maintenance of multiple CRISPR arrays across prokaryotes

The paper investigates why prokaryotes maintain multiple CRISPR arrays, proposing a tradeoff between memory span and learning speed as a selective mechanism.

Immune Loss as a Driver of Coexistence During Host-Phage Coevolution

The paper shows that immune loss in bacteria can lead to stable coexistence with phages, contrasting with fitness tradeoffs, through theoretical and experimental analysis of CRISPR-Cas systems.