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Domain Inventory Project

Domain Inventory Project. 23 March 2005. Domain Compartments. Points sampled, 1996-2001. Data collection. A total of 1786 points (“plots”) were sampled Data collected on 1/20 acre included Tree species Diameter at breast height (dbh) Canopy class (dominating, <50%, not present, etc.)

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Domain Inventory Project

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  1. Domain Inventory Project 23 March 2005

  2. Domain Compartments

  3. Points sampled, 1996-2001

  4. Data collection • A total of 1786 points (“plots”) were sampled • Data collected on 1/20 acre included • Tree species • Diameter at breast height (dbh) • Canopy class (dominating, <50%, not present, etc.) • Height at which dbh = 8” and dbh = 4” • Number of vines and/or cavities • Snag class • Basal area

  5. Excel example

  6. What to do with the data? • Explore plateau vs. cove differences • Quantify amount of timber that could be harvested by compartment • Look at species richness

  7. Plateau Soils primarily derived from sandstone Relatively water-restricted pH relatively acidic Few nutrients High light Cove Soils derived from shale and limestone Damper than Plateau pH buffered by shale & limestone, so less acidic More nutrients Low light Differences between Plateau and Cove

  8. Red Maple Acer rubrum

  9. Sugar Maple Acer saccharum

  10. Mean basal area

  11. Tree richness

  12. Processes Forestry Computer Science Biology

  13. Attribute table matching

  14. Completed Queries • Density by species by Cclass • For each species, count the number of records for each Cclass 1 through 4 per Plot • Density by species • Count number of records by species per plot • Density by Cclass • Count number of records by Cclass per plot • Species richness • Count number of unique species per plot • Basal area per plot • Sum basal area per plot

  15. Queries to be Completed • Species richness by compartment • Cclass by species by compartment • Diversity by compartment • Mean snag density by compartment • Mean # of cavities per compartment

  16. -Σpi ln pi -Σpi ln pi = 1.269 Shannon-Weiner Diversity Index

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