Skip to main content
padlock icon - secure page this page is secure

Estimating the footprint of pollution on coral reefs with models of species turnover

Buy Article:

$52.00 + tax (Refund Policy)

Ecological communities typically change along gradients of human impact, although it is difficult to estimate the footprint of impacts for diffuse threats such as pollution. We developed a joint model (i.e., one that includes multiple species and their interactions with each other and environmental covariates) of benthic habitats on lagoonal coral reefs and used it to infer change in benthic composition along a gradient of distance from logging operations. The model estimated both changes in abundances of benthic groups and their compositional turnover, a type of beta diversity. We used the model to predict the footprint of turbidity impacts from past and recent logging. Benthic communities far from logging were dominated by branching corals, whereas communities close to logging had higher cover of dead coral, massive corals, and soft sediment. Recent impacts were predicted to be small relative to the extensive impacts of past logging because recent logging has occurred far from lagoonal reefs. Our model can be used more generally to estimate the footprint of human impacts on ecosystems and evaluate the benefits of conservation actions for ecosystems.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Bayesian modeling; beta diversity; calidad del agua; diversidad beta; ecological indicator; explotación forestal; indicador ecológico; latent variable; logging; modelado bayesiano; modelado de distribución multiespecie; multispecies distribution modeling; variable latente; water quality

Document Type: Research Article

Publication date: August 1, 2018

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more