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BRIEF COMPARISON OF

BRIEF COMPARISON OF KNOWLEDGE-BASED VS. EMPIRICAL APPROACHES TO DEFINING AND MODELING SPECIES-HABITAT RELATIONSHIPS. Effective Habitat. KNOWLEDGE-BASED MODELING STRUCTURE. <0.1 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 >0.9. Low Moderate High. LYNX Habitat Suitability. 20 km.

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BRIEF COMPARISON OF

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  1. BRIEF COMPARISON OF KNOWLEDGE-BASED VS. EMPIRICAL APPROACHES TO DEFINING AND MODELING SPECIES-HABITAT RELATIONSHIPS

  2. Effective Habitat KNOWLEDGE-BASED MODELING STRUCTURE

  3. <0.1 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 >0.9 Low Moderate High LYNX Habitat Suitability 20 km

  4. KNOWLEDGE-BASED APPROACH Advantages: • Transparency – parameters easily discussed, debated, tested, refined. • Can potentially account for scale-dependent nature of species-environment relationships. • Can account for non-linear nature of relationships. Disadvantages: Predictions may fail if… • Lacking appropriate knowledge on species-environment relationships, their scale-dependency, or ecotypic variation. • Lacking adequate mapping or modeling of factors the species is responding to.

  5. EMPIRICAL APPROACH Advantages: • Can provide better localized prediction success. • Methods highly repeatable. Disadvantages: • Requires representative (space, time) data, independently sampled at appropriate scale - expensive. • Predictive relationships may only hold within a narrow range of landscape conditions – defined by representation of sampling.

  6. Range of Study Conditions E C N E R Measured Relationship R U C C O L A Actual Relationship M I N A HABITAT VARIABLE Representation of conditions to which management inference and/or model extrapolations are to be made.

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