100 likes | 179 Vues
Entities = 5. Total Attributes ~ 560. First placed each attribute into one of the 14 MM.org ATTRIBUTE CATEGORYS. Amphibians = 3 Aquatic or floodplain geomorphology = 139 Disturbance /restoration = 23 Ecological or geological classification = 7 Environmental Condition = 115 Fish = 14
E N D
Entities = 5 Total Attributes ~ 560
First placed each attribute into one of the 14 MM.org ATTRIBUTE CATEGORYS • Amphibians = 3 • Aquatic or floodplain geomorphology = 139 • Disturbance /restoration = 23 • Ecological or geological classification = 7 • Environmental Condition = 115 • Fish = 14 • Hydrology/water quantity = 9 • Light = 7 • Macroinvertebrates = 8 • Mammals = 1 • Multi-species = 9 • Sediment/substrate/soils = 107 • Vegetation/plants = 53 • Water quality = 41
Next created sub-categories under each MM.org category & placed attributes in pertinent sub-category • Finally characterized attributes within a sub-category as either • Unique measurement • Similar measurement (i.e. two or more attributes attempting to measure the same thing) • Derived metric (i.e. a metric that is generated by two or more measurements) • Need More Information
Aquatic or floodplain geomorphology + Ecological or geological classification + Environmental Condition
Water Quality Light and Vegetation/Plants
Sediment/Substrate/Soils Hydrology/Water Quantity
Amphibians & Fish Macroinvertebrates/Mammals/Multi-species
Next Steps • Missing attributes (derived components) • Accuracy of unique and similar delineations • Get more information for NMIs • Once we have a “complete” list of unique and similar attributes we can begin asking: • Are the unique attributes needed? • What is the preferred protocol for “similar” attributes that are collected by different protocols? (or, can a variety of protocols be used?)