Functional evenness of wood traits and structural diversity mediate aboveground biomass po

Plot-level floristic and functional trait data from mixed-species plantations in West Africa, used to examine relationships between diversity metrics and aboveground biomass (AGB). The dataset includes 23 enumerated species, with plot-level species richness ranging from 1 to 12 and AGB averaging 15.5 Mg/plot (range 9.3 to 23.1 Mg/plot). It was created by Sylvanus Mensah of Université d'Abomey-Calavi and shared via Papers with Code.

Use Cases

• Modeling aboveground biomass (AGB) response based on species richness and structural diversity.
• Investigating the role of functional evenness of wood traits in mediating biomass production.
• Testing niche complementarity hypotheses in mixed-species forest stands.
• Analyzing the relative predictive power of taxonomic diversity versus functional diversity metrics for ecosystem biomass.

Strengths

• Includes plot-level AGB measurements with a reported average of 15.5 Mg/plot and a range from 9.3 to 23.1 Mg/plot.
• Enumerates 23 tree species across plots, with species richness per plot ranging from 1 to 12.
• Analyzes multiple diversity metrics, including taxonomic, functional, and structural diversity, as described in the associated research.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the research paper.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

Papers with Code, associated with the research paper by Sylvanus Mensah.

Collection Method

Plot-level floristic and functional trait data collection in mixed-species plantations, as described in the study.

Geography

West Africa