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Development of a Reef Fish Biological Condition Gradient Model With Quantitative Decision Rules for the Protection and Restoration of Coral Reef Ecosystems
Marine Pollution Bulletin
  • Patricia Bradley, Tetra Tech, Inc.
  • Ben Jessup, Tetra Tech, Inc.
  • Simon J. Pittman, Seascape Analytics Ltd.
  • Christopher F. G. Jeffrey, CSS-Inc., National Oceanic and Atmospheric Administration
  • Jerald Ault, University of Miami
  • Lisamarie Carrubba, National Oceanic and Atmospheric Administration
  • Craig Lilyestrom, Puerto Rico Department of Natural and Environmental Resources
  • Richard S. Appeldoorn, University of Puerto Rico - Mayaguez
  • Michelle T. Schärer, University of Puerto Rico - Mayaguez
  • Brian K. Walker, Nova Southeastern University
  • Melanie McField, Smithsonian Marine Station
  • Deborah Santavy, U.S. Environmental Protection Agency
  • Tyler B. Smith, University of the Virgin Islands
  • Graciela Garcia-Moliner, National Oceanic and Atmospheric Administration
  • Steven G. Smith, University of Miami
  • Evelyn Huertas, U.S. Environmental Protection Agency
  • Jeroen Gerritsen, Tetra Tech, Inc.
  • Leah M. Oliver, U.S. Environmental Protection Agency
  • Christina Horstmann, U.S. Environmental Protection Agency
  • Susan K. Jackson, U.S. Environmental Protection Agency
ORCID
0000-0001-8385-7066
Document Type
Article
Publication Date
10-1-2020
Keywords
  • Biological attributes,
  • Biocriteria,
  • Thresholds,
  • Sustainability
Abstract

Coral reef ecosystems are declining due to multiple interacting stressors. A bioassessment framework focused on stressor-response associations was developed to help organize and communicate complex ecological information to support coral reef conservation. This study applied the Biological Condition Gradient (BCG), initially developed for freshwater ecosystems, to fish assemblages of U.S. Caribbean coral reef ecosystems. The reef fish BCG describes how biological conditions changed incrementally along a gradient of increasing anthropogenic stress. Coupled with physical and chemical water quality data, the BGC forms a scientifically defensible basis to prioritize, protect and restore water bodies containing coral reefs. Through an iterative process, scientists from across the U.S. Caribbean used fishery-independent survey data and expert knowledge to develop quantitative decision rules to describe six levels of coral reef ecosystem condition. The resultant reef fish BCG provides an effective tool for identifying healthy and degraded coral reef ecosystems and has potential for global application.

DOI
10.1016/j.marpolbul.2020.111387
Comments

©2020 Elsevier Ltd. All rights reserved.

Additional Comments
US EP contract #s: EP-C-09-001 Work Assignment #3-01, EP-C-14-016 Work Assignment 1-1
Citation Information
Patricia Bradley, Ben Jessup, Simon J. Pittman, Christopher F. G. Jeffrey, et al.. "Development of a Reef Fish Biological Condition Gradient Model With Quantitative Decision Rules for the Protection and Restoration of Coral Reef Ecosystems" Marine Pollution Bulletin Vol. 159 (2020) p. 111387 ISSN: 0025-326X
Available at: http://works.bepress.com/brian_k_walker/102/