E. R. White

Social-ecological models with social hierarchy and spatial structure applied to small scale fisheries

This study develops a socio-ecological model with social hierarchy and spatial structure to analyze fishery dynamics, finding that fish movement and social influence significantly impact sustainability.

Assessing the need for temporary fishing closures to support sustainability for a small-scale octopus fishery

The paper assesses the sustainability of a blue octopus fishery using a population model and finds that temporary closures have likely sustained the population since 2006.

Determining the Role of Environmental Covariates on Planktivorous Elasmobranch Population Trends within an Isolated Marine Protected Area

This study examines how environmental factors affect planktivorous elasmobranch populations over 28 years at Cocos Island, finding significant correlations between chlorophyll A, lunar cycles, and salinity with species abundance.

If this title is funny, will you cite me? Citation impacts of humour and other features of article titles in ecology and evolution

This study examines how humorous and other title features affect citations in ecology and evolution, finding that humor may increase citations when accounting for paper importance.

Distant water industrial fishing in developing countries: A case study of Madagascar

This study analyzes industrial fishing effort in Madagascar's EEZ from 2012-2020, finding that foreign vessels dominate fishing activity, with seasonal patterns and environmental factors influencing effort.

Catastrophes, connectivity, and Allee effects in the design of marine reserve networks

This study examines how catastrophes and Allee effects influence optimal marine reserve spacing and shows that optimal spacing increases with catastrophes and that conservation and fishing objectives no longer conflict at intermediate disturbance levels.

Sampling requirements and approaches to detect ecosystem shifts

The paper shows that iterative sampling approaches are more efficient than standard methods for detecting ecosystem shifts, reducing labor costs and sample numbers needed.