A. K. Fahimipour

Demystifying image-based machine learning: A practical guide to automated analysis of field imagery using modern machine learning tools

This paper provides a practical guide to applying image-based machine learning for marine research, demonstrating data preparation, model training, and troubleshooting techniques with a case study.

Wild animals suppress the spread of socially-transmitted misinformation

The paper studies how wild coral reef fish manage misinformation spread through dynamic sensitivity adjustments in decision-making.

Quantification of metabolic niche occupancy dynamics in a Baltic Sea bacterial community

The paper uses manifold learning to analyze a Baltic Sea bacterial time-series, revealing seasonal dynamics in metabolic niche occupancy.

Body size dependent dispersal influences stability in heterogeneous metacommunities

The paper examines how body size-dependent dispersal affects food web stability in heterogeneous metacommunities and finds that positive dispersal rate scaling with body size can stabilize systems, but this effect diminishes with increased patch coupling.

Moving microbes: the dynamics of transient microbial residence on human skin

This study examines how microbial communities from environmental sources like soil and plant leaves transiently affect human skin microbiome composition and persistence over short time scales.

Omnivory does not preclude strong trophic cascades

The paper analyzes models of top omnivores with fixed or flexible diets to show that omnivory can generate strong trophic cascades under specific conditions.

Global-scale structure of the eelgrass microbiome

The paper analyzes the global microbiome of eelgrass, revealing distinct microbial communities on leaves and roots with different spatial and functional patterns.

Compensation masks trophic cascades in complex food webs

The paper investigates trophic cascades in complex food webs and finds that compensatory responses within trophic guilds can mask cascades, primarily occurring in low richness and weakly connected webs.