1. Introduction | 1.1. Ecological Dynamic Regimes and the EDR framework | 1.2. About this vignette | 2. Trajectory data, state and trajectory spaces | 3. Defining EDRs | 3.1. Identifying EDRs from clustering analyses | 3.2. Defining EDRs based on ecological properties | 4. Representative trajectories | 4.1. Identifying representative trajectories with RETRA-EDR | 4.2. Visualizing representative trajectories in the state space | 4.3. Defining representative trajectories based on trajectory features | 4.4. Variation of ecological properties along representative trajectories | 5. Distribution and heterogeneity of ecological trajectories in EDRs | 5.1. Dynamic dispersion (dDis) | 5.2. Dynamic beta diversity (dBD) | 5.3. Dynamic evenness (dEve) | 6. Comparing EDRs | Acknowledgements

1. Introduction | 1.1. Predicting ecological trajectories within the EDR framework | 1.2. About this vignette | 2. Artificial data | 3. Understanding petra_edr() | 3.1. The arguments of petra_edr() | 3.2. The outputs of petra_edr() | 4. Forecasting ecological trajectories | 4.1. Preliminary analyses | 4.2. Forecasting ecological trajectories of multiple targets using different conditions | 4.3. Evaluating the predicted trajectories | The k-nearest EDR states | The predicted states | 5. Prediction accuracy | 6. Representing predicted trajectories

1. Introduction | 1.1. Ecological resilience and the EDR framework | 1.2. About this vignette | 2. Disturbed and undisturbed trajectories | 3. Assessing ecological dynamic regimes | 3.1. Identifying the reference ecological dynamic regime | 3.2. Define the main dynamic trends through representative trajectories | 4. Metrics of ecological resilience to pulse disturbances | 4.1. Resistance | 4.2. Amplitude | 4.3. Recovery | 4.4. Net change | 5. Assessing the ecological resilience of systems affected by pulse disturbances | Acknowledgements