Curated Mangrove Forest Economic Value Estimates from Systematic Review

Mangrove forests face deforestation rates exceeding tropical rainforests, making accurate economic valuation critical for policy. This dataset provides curated estimates of mangrove ecosystem services, applying method-specific evaluation criteria to a systematic review of recent studies. The curation, led by Suhyun Jung and hosted by Harvard Dataverse, results in more realistic value ranges, with direct use estimates increasing by 14% and indirect use estimates declining.

Use Cases

• Benchmarking mangrove valuation methodologies based on the applied evaluation criteria
• Analyzing trends in direct versus indirect use value estimates after data curation
• Informing conservation policy by comparing pre- and post-curation economic value ranges
• Identifying research gaps for future valuation efforts, such as integrating remote sensing or accounting for climate risks

Strengths

• Data is curated using a systematic review and method-specific evaluation criteria to improve reliability
• Provides quantified impact of curation, showing a 14% increase in average direct use value estimates
• Focuses on a critical environmental issue with high deforestation rates for mangrove forests

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Harvard Dataverse

Collection Method

Systematic review and curation of existing mangrove valuation studies

Time Range

Recent studies (specific range not provided)

Freshness

Last updated 2026-03-19 21:28:33; freshness should be verified

Geography

Mangrove forests globally (specific regions not provided)