Comprehensive Ecological Data Classification for Biodiversity Monitoring
This project categorizes ecological data into 14 attribute categories, focusing on various aspects such as geomorphology, environmental conditions, water quality, and more. Through sub-categorization and attribute characterization, it aims to streamline data collection and analysis in biodiversity monitoring efforts.
Comprehensive Ecological Data Classification for Biodiversity Monitoring
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Presentation Transcript
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?)
