Evaluating Impact Using Time-Series Data
Research output: Contribution to journal › Journal article › peer-review
Documents
- PIIS0169534720303347
Final published version, 1.64 MB, PDF document
Humanity's impact on the environment is increasing, as are strategies to conserve biodiversity, but a lack of understanding about how interventions affect ecological and conservation outcomes hampers decision-making. Time series are often used to assess impacts, but ecologists tend to compare average values from before to after an impact; overlooking the potential for the intervention to elicit a change in trend. Without methods that allow for a range of responses, erroneous conclusions can be drawn, especially for large, multi-time-series datasets, which are increasingly available. Drawing on literature in other disciplines and pioneering work in ecology, we present a standardised framework to robustly assesses how interventions, like natural disasters or conservation policies, affect ecological time series.
Original language | English |
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Journal | Trends in Ecology and Evolution |
Volume | 36 |
Issue number | 3 |
Pages (from-to) | 196-205 |
ISSN | 0169-5347 |
DOIs | |
Publication status | Published - 2021 |
- before-after-control-intervention, causal inference, counterfactual, difference in differences, interrupted time series, longitudinal data
Research areas
ID: 256077581