Comparing Habitat Suitability Indices (HSIs) Based on Abundance and Occurrence Data

Pey Yi Lee, Jian Ping Suen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Suitability-based physical habitat modeling is sensitive to the choice of habitat suitability index. We compared the effects of using abundance versus occurrence data on suitability indices along environmental gradients for four fish species collected by means of prepositioned electrofishing in a mountain stream in southern Taiwan. The results indicate that abundance data provide more sensitive outcomes than occurrence data in terms of both mean values and habitat suitability. The mean values of flow velocity and water depth from the abundance data separated the four fish species into four distinct flow groups and two depth groups; the occurrence data did not produce similar groupings. Habitat suitability curves from the abundance data provided clearer outcomes than those from the occurrence data. The differences were greater for species with differential densities along environmental gradients that were related to species characteristics. Advancements in point abundance sampling methodology, such as the development of prepositioned electrofishing, provide novel opportunities to collect abundance data that can enhance suitability results.

Original languageEnglish
Pages (from-to)89-96
Number of pages8
JournalNorth American Journal of Fisheries Management
Volume33
Issue number1
DOIs
Publication statusPublished - 2013 Feb 1

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology
  • Management, Monitoring, Policy and Law

Cite this