Matthew Philip Adams

Parameter estimation and identifiability analysis of stability and tipping points in potentially bistable ecosystems

The paper assesses whether standard ecological data can identify bistability and tipping points in ecosystems using synthetic data and profile likelihood analysis.

Widespread coupling of promoters and terminators of transcription in bacteria

The paper shows that promoters and terminators in bacteria are often coupled, with termination sequences contributing to promoter function, leading to regulatory interference between adjacent transcription units.

When should we use non-stationary adaptive management? A value of information analysis

This paper uses value of information analysis to guide simplifying adaptive management models for ecosystems under climate change, finding that model complexity should depend on non-stationarity and uncertainty levels.

Developing new technologies to protect ecosystems: planning with adaptive management

The paper develops an adaptive management framework using AI to determine optimal time limits for technology development, balancing costs, benefits, and uncertainties in dynamic systems like ecosystems.

EEMtoolbox: A user-friendly R package for flexible ensemble ecosystem modeling

EEMtoolbox is an R package that enables flexible ensemble ecosystem modeling using either accept-reject or sequential Monte Carlo methods, supporting multiple model structures for conservation applications.

A simple model of population dynamics with beneficial and harmful interaction networks for empirical applications.

This paper introduces a simple population dynamics model that can handle both beneficial and harmful interactions, demonstrating its applicability in data-poor ecological scenarios.