Southern India, Bangladesh, Java, and Mindanao are covered by spatial maps assessing seed source availability for 21 native tree species. The analysis reveals that, on average, only 34% of seed zones have designated seed sources. The dataset includes species distribution maps, seed zone maps, and gap analysis outputs developed using MaxEnt modeling and environmental clustering.
Use Cases
- Identify seed sourcing gaps by overlaying species distribution maps, seed zone maps, and seed source locations for 21 pilot species.
- Assess climate resilience by analyzing the 97% of seed sources predicted to remain within suitable future habitats using MaxEnt species distribution models.
- Evaluate the potential of community-managed forests in Mindanao to fill seed source gaps identified in the overlay analysis.
- Prioritize areas for seed source development by applying the gap analysis methodology to specific seed zones within species' distribution ranges.
Strengths
- Analysis covers 21 native pilot tree species across four countries.
- Methodology is spatially explicit, combining environmental clustering, species distribution modeling, and seed source data.
- Findings include a specific metric: on average, only 34% of seed zones have designated seed sources.
Limitations
- Sample size is limited to 21 pilot species, which may not represent all native species in the regions.
- The dataset consists of derived maps and scripts; raw observational or survey data for seed sources is not provided.
- Temporal coverage and update frequency for the underlying species distribution and seed source data are unspecified.
Provenance
- Source
- The Alliance of Bioversity International and CIAT Dataverse, associated with a published research paper.
- Collection Method
- MaxEnt species distribution models, environmental clustering for seed zones, and spatial overlay analysis for gap identification.
- Time Range
- null
- Freshness
- null
- Geography
- Southern India, Bangladesh, Java (Indonesia), and Mindanao (Philippines) in tropical Asia.