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An Entity Relationship Model of Wildlife Habitat Associations

An Entity Relationship Model of Wildlife Habitat Associations. Robert A. Deitner Kenneth G. Boykin New Mexico Cooperative Fish & Wildlife Research Unit New Mexico State University. Southwest Regional GAP Arizona, Colorado, Nevada, New Mexico, Utah.

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An Entity Relationship Model of Wildlife Habitat Associations

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  1. An Entity Relationship Model of Wildlife Habitat Associations Robert A. Deitner Kenneth G. Boykin New Mexico Cooperative Fish & Wildlife Research Unit New Mexico State University Southwest Regional GAP Arizona, Colorado, Nevada, New Mexico, Utah US-IALE 2004, Las Vegas, Nevada: Transdisciplinary Challenges in Landscape Ecology

  2. Outline • Introduction /Why? • Description of Entity Relationship (ER) models • Description of Wildlife Habitat Associations (WHR) • ER model of WHR(s)

  3. Scalability • More pixels • More animals • More attribute maps • More suitability measures • More people involved • More speed

  4. Entity-Relationship Modeling • Entity • Class of facts that are described by a consistent set of attributes. The basic building block • Attributes • Specific quality of an entity (may in itself be an entity) • Relations • Description of the association between entities • Cardinality, modality

  5. Characteristics of ER modeling • Abstract method of modeling data • Graphical in nature • Independent of analysis • Beginning of a well designed database • Guarantee of “working” • Standards exist (SQL) • scalable solution

  6. Wildlife Habitat Relations (WHR) Any rule based model that predicts habitat quality based on a set of landscape attributes. Wildlife Habitat Relations are used to create maps of habitat suitability. Usually by “overlay” of landscape attributes.

  7. Example Suitable habitat for my favorite species occurs in the Rio Grande Basin at elevations over 1800 meters and less than 2400 meters. Breeding habitat occurs up to 2000 meters on South facing slopes.

  8. A WHR is analogous to a paragraph Clause a: “Suitable habitat formy favorite species occurs in the Rio Grande basin” Clause b: “{Suitable habitatmy favorite species occurs} between 1800 and 2400 meters” Clause c: “Breeding habitat {for my favorite species} occurs up to 2000 meters” Clause d: “{Breeding habitatfor my favorite species} occurs on south facing slopes

  9. A WHR Has Two Major Entities • Clause: The relationship between a single attribute and its suitability to a particular taxon. • Statement: An expression that contains the rules for combining multiple clauses into a single habitat prediction.

  10. Clause Taxonomy Four types of clauses based on the nature of the inputs (attribute) and outputs (Suitability measure)

  11. Statements Combine Clauses Using a Decision Matrix “and” decision matrix / (“or” decision matrix)

  12. Example as algebraic expression SmartOverlay($[Or matrix], Smartoverlay($[and matrix], $[clause a], $[clause b]), Smartoverlay($[and matrix], $[clause a], $[clause c], $[clause d]) )

  13. USGS HUCS Alliance Result Restrictive Overlay Liberal Overlay Ecol. Systems

  14. Taxon Attribute Metadata Results Crosswalk details Classification details Score details Citation Literature Numerical Classification Wildlife Habitat Relationship Statement Clause The End

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