A 2019 review paper by Hayes et al. analyzes how monitoring programs for Australia's Marine Park network can be designed to provide stronger causal evidence. The work critiques the Evidence Based Decision Making paradigm and proposes improved design strategies like randomized sampling and propensity scores. It was published in Frontiers in Marine Science and is hosted by the Australian Ocean Data Network.
Use Cases
- Evaluating the adequacy of monitoring designs based on the strength of evidence hierarchy described in the paper
- Planning cohort or case-control studies for marine park objectives where Random Controlled Trials are excluded
- Applying propensity scores and structured expert judgment elicitation to improve causal inference in monitoring data
- Selecting control sites and implementing randomized, spatially balanced sampling for marine conservation programs
Strengths
- Provides a detailed methodological review published in a peer-reviewed journal (Frontiers in Marine Science)
- Specifically addresses the objectives of Australia's Marine Park network
- Critically assesses the Evidence Based Decision Making paradigm and proposes practical improvements
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
Provenance
- Source
- Australian Ocean Data Network
- Collection Method
- A review and methodological analysis by Hayes et al.
- Freshness
- Last updated 2026-05-05 01:10:34.834901; freshness should be verified
- Geography
- Australia's Marine Park network