2011 working group Th Use cases¶

Macrological patterns of species diversity along latitudinal gradients¶

• need:
  • latitude info
  • communities
  • community traits
  • herbarium/plot data
  • species traits
  • trait distribution
  • plant traits: leaf area, plant height, seed mass, wood density
• communities not needed in VegBank
• community can mean an assemblage (plot, etc.)
• raw data columns:
  • mean dbh: dataset-wide mean applied to plot
  • mean species trait: mean for entire species, not plot specific
  • BioClim var 1, 2: precipitation, temperature
• get BioClim layers through BIEN endpoint or elsewhere?
• data elements needed:
  • plotCode ("community")
  • project = dataset, provenance for attribution
  • genus
  • species
  • lat/long
  • # individuals for plot species
  • plotwide mean dbh of that species (derived value)
  • traits aggregated by genus, species
• need variance, etc. for trait values? how to supply?
• what to do with traits? add table for them? link as observations of specimens?
• traits table has name, value, units
• need model to manage traits
• traits out of scope and managed elsewhere?
• measurements of indiv leaves
• most traits data from TRY or literature, metadata attached
• trait obs table in core db
• TraitBIEN for traits
• taxon name table is linkage point
• species w/o trait values
• "regional pool for all plots (overlap of different range sizes)"

Relationship between species range size and functional richness¶

• correlation btw climate (productivity vars) and # species
• "local communities of closely related species"
• Gentry-style plots: metadata
• external data: USGS trees range maps
• climatic variables
• removed SALVIAS plots not marked as USGS species
• genus-level traits when no species traits
• need:
  • species occurrences from plots, +traits
  • climate/BioClim: out of scope unless using data provided w/ plots
  • # species (by plots)
  • plotCode
  • dataset for attribution/provenance
  • method metadata
  • traits: seed mass, sla aggregated by genus, species
• predictions from range of species based on plot environment
• layer generated by co-occurrence info
• different env attrs associated with taxa (end product of maxent)
  • overlay for taxa
• analyt product produced by greater BIEN, not in core BIEN
• filtering: removing USGS species, cultivated species using built-in filter
• overlap of maxent maps, bounding boxes
• regional pool for all plots
• range maps we generated on top of species pool

• >200 species w/ >80deg range