The intrinsic predictability of ecological time series and its potential to guide forecasting

Confidence intervals and hypothesis testing for the Permutation Entropy with an application to epilepsy

(2018) Francisco Traversaro et al.   Communications in Nonlinear Science and Numerical Simulation

The predictability of a lake phytoplankton community, over time-scales of hours to years

(2018) Mridul K. Thomas et al.   ECOLOGY LETTERS

Iterative near-term ecological forecasting: Needs, opportunities, and challenges

(2018) Michael C. Dietze et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Predictability and environmental drivers of chlorophyll fluctuations vary across different time scales and regions of the North Sea

(2018) Anouk N. Blauw et al.   PROGRESS IN OCEANOGRAPHY

High resolution time series reveals cohesive but short-lived communities in coastal plankton

(2018) Antonio M. Martin-Platero et al.   Nature Communications

Quantitative argument for long-term ecological monitoring

(2017) A Giron-Nava et al.   MARINE ECOLOGY PROGRESS SERIES

Prediction in ecology: promises, obstacles and clarifications

(2017) Virginie Maris et al.   OIKOS

Prediction and explanation in social systems

(2017) Jake M. Hofman et al.   SCIENCE

Information Theory Broadens the Spectrum of Molecular Ecology and Evolution

(2017) W.B. Sherwin et al.   TRENDS IN ECOLOGY & EVOLUTION

Quantitative argument for long-term ecological monitoring

(2017) A Giron-Nava et al.   MARINE ECOLOGY PROGRESS SERIES

Stock assessment and end-to-end ecosystem models alter dynamics of fisheries data

(2017) Laura S. Storch et al.   PLoS One

The priority of prediction in ecological understanding

(2016) Jeff E. Houlahan et al.   OIKOS

Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

(2016) Sebastian Sippel et al.   PLoS One

Prediction in projection

(2015) Joshua Garland et al.   CHAOS

Metagenomics meets time series analysis: unraveling microbial community dynamics

(2015) Karoline Faust et al.   CURRENT OPINION IN MICROBIOLOGY

The ecological forecast horizon, and examples of its uses and determinants

(2015) Owen L. Petchey et al.   ECOLOGY LETTERS

REVIEW: Predictive ecology in a changing world

(2015) Nicolas Mouquet et al.   JOURNAL OF APPLIED ECOLOGY

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

The quiet revolution of numerical weather prediction

(2015) Peter Bauer et al.   NATURE

Equation-free mechanistic ecosystem forecasting using empirical dynamic modeling

(2015) Hao Ye et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A newly discovered role of evolution in previously published consumer-resource dynamics

(2014) Teppo Hiltunen et al.   ECOLOGY LETTERS

Complexity is costly: a meta-analysis of parametric and non-parametric methods for short-term population forecasting

(2014) Eric J. Ward et al.   OIKOS

Model-free quantification of time-series predictability

(2014) Joshua Garland et al.   PHYSICAL REVIEW E

Practical considerations of permutation entropy

(2013) M. Riedl et al.   European Physical Journal-Special Topics

Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information

(2013) Bilal Fadlallah et al.   PHYSICAL REVIEW E

The importance of observation versus process error in analyses of global ungulate populations

(2013) Farshid S. Ahrestani et al.   Scientific Reports

Value of long-term ecological studies

(2012) DAVID B. LINDENMAYER et al.   AUSTRAL ECOLOGY

Predicting phenology by integrating ecology, evolution and climate science

(2011) Stephanie Pau et al.   GLOBAL CHANGE BIOLOGY

The limits to prediction in ecological systems

(2011) Brian Beckage et al.   Ecosphere

Use and misuse of the reduced major axis for line-fitting

(2009) Richard J. Smith   AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY

Early-warning signals for critical transitions

(2009) Marten Scheffer et al.   NATURE

Characterizing mixed microbial population dynamics using time-series analysis

(2008) Pål Trosvik et al.   ISME Journal