Development of a reef fish biological condition gradient model with quantitative decision rules for the protection and restoration of coral reef ecosystems. (October 2020)

• Record Type: Journal Article
• Authors: Bradley, Patricia; Jessup, Ben; Pittman, Simon J.; Jeffrey, Christopher F.G.; Ault, Jerald S.; Carrubba, Lisamarie; Lilyestrom, Craig; Appeldoorn, Richard S.; Schärer, Michelle T.; Walker, Brian K.; McField, Melanie; Santavy, Deborah L.; Smith, Tyler B.; García-Moliner, Graciela; Smith, Steven G.; Huertas, Evelyn; Gerritsen, Jeroen; Oliver, Leah M.; Horstmann, Christina; Jackson, Susan K.
• Is Part Of: Marine pollution bulletin. Volume 159(2020)
• Publication Date: 2020-10
• Subjects: Biological attributes -- Biocriteria -- Thresholds -- Sustainability; Marine pollution -- Periodicals; Marine Biology -- Periodicals; Water Pollution -- Periodicals; Mer -- Pollution -- Périodiques; Publications périodiques; Pollution des mers; Lutte antipollution; Electronic journals; 363.7394
• DOI: 10.1016/j.marpolbul.2020.111387
• Languages: English
• ISSNs: 0025-326X

Abstract

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. Highlights: An integrated ecologically-broad systems approach enhances coral reef ecosystem protection. Biological Condition Gradients track ecosystem status as a function of anthropogenic stress. The reef fish BGC model was effective in identification of impaired coral reef ecosystems The reef fish BGC model has potential global application when calibrated with local data.