Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Functional diversity patterns of reef fish, corals and algae in the Brazilian biogeographical province

Domaine:

environment and energy
Créateur:
AndAnaDieMur
Éditeur:
WILEY
Hôte:
Abstract Aim Functional diversity encapsulates whole‐community responses to environmental gradients mediated by species traits. Under trait convergence, similar responses may cause distantly related taxa to exhibit spatially correlated functional diversity. We investigated whether similar responses of reef fish, coral and algal functional richness and disparity to the environment produce spatially correlated functional diversity patterns. Location Brazilian marine biogeographical province. Taxon Reef fish, corals, algae. Methods We analysed data from 40 coastal and oceanic sites distributed across 27 degrees of latitude in the Brazilian province. Using traits, we measured functional richness (FRic) and disparity (Rao's Q ) and calculated Pearson's correlation () between pairs of metrics and taxa. We used Bayesian multivariate linear models to model taxa functional richness and disparity relative to sea surface temperature (SST), turbidity, salinity, species richness and region, and to estimate the residual correlation () between metrics after accounting for these variables. Results The best fitted model contained SST, species richness and region, and explained about 56% of the variation in FRic and Rao's Q across taxa. Yet, FRic and Rao's Q of fish, algae and corals responded differently to environmental variables. Functional diversity metrics were less correlated between algae and corals than compared to fish. Observed correlations of FRic and Rao's Q were low to intermediate across taxa (average  = 0.14), and residual correlations were even lower (average  = 0.02). Main conclusions SST, species richness and region had a widespread role in determining spatially congruent functional diversity offish, algae and corals across Brazilian reefs, despite their fundamentally different evolutionary histories. Low residual spatial correlations suggest that other mechanisms might also contribute to functional diversity patterns of reef taxa independently. Given the role of SST, species richness and region, the functional structure of these reefs might be compromised by climate change, pollution and overfishing.

Visit

doi.org

Licenses

http://onlinelibrary.wiley.com/termsAndConditions#vor

Similaires

Functional dynamics of coral reef fish in marine protected areasLinkage between fish functional groups and coral reef benthic habitat composition in the Western Indian OceanPatterns of juvenile reef fish assemblages across a mangrove-seagrass-coral continuum in Shimoni, KenyaPredictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniquesPatterns of diversity of the north‐eastern Atlantic blenniid fish fauna (Pisces: Blenniidae)Trophic interactions among key target reef fish in Kenya

Functional dynamics of coral reef fish in marine protected areas

Coral reefs are diverse ecosystems that provide services to millions of people around the world. How

Linkage between fish functional groups and coral reef benthic habitat composition in the Western Indian Ocean

Benthic habitat composition is a key factor that structures assemblages of coral reef fishes. Howeve

Patterns of juvenile reef fish assemblages across a mangrove-seagrass-coral continuum in Shimoni, Kenya

Understanding juvenile fish distribution across habitat mosaics is essential for interpreting ecosys

Predictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniques

Patterns of diversity of the north‐eastern Atlantic blenniid fish fauna (Pisces: Blenniidae)

Abstract This paper presents an analysis of the distributional patterns of blenniids (Pisces: Blenn

Trophic interactions among key target reef fish in Kenya

Trophic interactions (i.e., predator-prey relationships) among key target reef fish in Kenya.