Guidelines for using the Delphi Technique to develop habitat suitability index curves
Links
- The Publications Warehouse does not have links to digital versions of this publication at this time
- Download citation as: RIS | Dublin Core
Abstract
Habitat Suitability Index (SI) curves are one method of presenting species habitat suitability criteria. The curves are often used with the Habitat Evaluation Procedures (HEP) and are necessary components of the Instream Flow Incremental Methodology (IFIM) (Armour et al. 1984). Bovee (1986) described three categories of SI curves or habitat suitability criteria based on the procedures and data used to develop the criteria. Category I curves are based on professional judgment, with 1ittle or no empirical data. Both Category II (utilization criteria) and Category III (preference criteria) curves have as their source data collected at locations where target species are observed or collected. Having Category II and Category III curves for all species of concern would be ideal. In reality, no SI curves are available for many species, and SI curves that require intensive field sampling often cannot be developed under prevailing constraints on time and costs. One alternative under these circumstances is the development and interim use of SI curves based on expert opinion. The Delphi technique (Pill 1971; Delbecq et al. 1975; Linstone and Turoff 1975) is one method used for combining the knowledge and opinions of a group of experts. The purpose of this report is to describe how the Delphi technique may be used to develop expert-opinion-based SI curves.
Publication type | Report |
---|---|
Publication Subtype | Federal Government Series |
Title | Guidelines for using the Delphi Technique to develop habitat suitability index curves |
Series title | FWS/OBS |
Series number | 82/10.134 |
Subseries | Habitat Suitability Index |
Year Published | 1987 |
Language | English |
Publisher | U.S. Fish and Wildlife Service |
Contributing office(s) | U.S. Geological Survey |
Description | iv, 21 p. |
Google Analytic Metrics | Metrics page |