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Correction: Widespread local chronic stressors in Caribbean coastal habitats

PLOS One

January 2018
13(1):e0192016

DOI:10.1371/journal.pone.0192016

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CC BY 4.0

Authors:

Iliana Chollett

Marine Analytics and Management Tools Ltd

Rachel Collin

Smithsonian Tropical Research Institute

C. Bastidas

Massachusetts Institute of Technology

Aldo Croquer

The Nature Conservancy

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[This corrects the article DOI: 10.1371/journal.pone.0188564.].

. Description of sites. CARICOMP stations with long-term data (at least three years and 30 monthly records).

…

Visibility throughout the CARICOMP network. Visibility in each site and habitat in the CARICOMP network, all data are presented, including all years (i.e. since 1992) and all stations, with and without long-term (> 3 years) data: (A) Coral reefs; and (B) Seagrass meadows. In boxplots, lines represent means, boxes 25 and 75% quantiles, whiskers 1.5 inter-quartile ranges and dots outliers. Sites are: Costa Rica (CRI), Panama (PAN), western Venezuela (VEN), eastern Venezuela (VEN2), Colombia (COL), Trinidad y Tobago (TAT), Bonaire (BON), northern Colombia (COL2), Curaçao (CUR), Barbados (BAR), Belize (BEL), Puerto Rico (PUR), Saba (SAB), Dominican Republic (DRE), Jamaica (JAM), Mexico (MEX), Cuba (CUB), the Bahamas (BAH), United States (USA), and Bermuda (BER). Sites with an asterisk were included in subsequent analyses. https://doi.org/10.1371/journal.pone.0188564.g003

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Explaining trends in visibility. Predicted probability of decreases and increases in visibility (as per right-hand labels of the top and bottom panels, respectively) against changes in human population (A), wave exposure (B), current speed (C), and trend in rainfall (D). https://doi.org/10.1371/journal.pone.0188564.g005

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Explaining the lack of trends in temperature. Number of years needed to detect a trend in temperature of 0.05˚C year-1 as a function of the autocorrelation of the noise (φ) and the residuals of each station [27]. Also shown in color the actual number of years of data available for each station. Note that to identify trends of different magnitudes, different number of years might be required. https://doi.org/10.1371/journal.pone.0188564.g006

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CORRECTION

Correction: Widespread local chronic

stressors in Caribbean coastal habitats

Iliana Chollett, Rachel Collin, Carolina Bastidas, Aldo Cro

´quer, Peter M. H. Gayle,

Eric Jorda

´n-Dahlgren, Karen Koltes, Hazel Oxenford, Alberto Rodriguez-Ramirez,

Ernesto Weil, Jahson Alemu, David Bone, Kenneth C. Buchan, Marcia Creary Ford,

Edgar Escalante-Mancera, Jaime Garzo

´n-Ferreira, Hector M. Guzma

´n, Bjo

¨rn Kjerfve,

Eduardo Klein, Croy McCoy, Arthur C. Potts, Francisco Ruı

´z-Renterı

´a, Struan R. Smith,

John Tschirky, Jorge Corte

´s

An affiliation for the 11th author is not indicated. Jahson Alemu is also affiliated with Institute

of Marine Affairs, Chaguaramas, Trinidad, Trinidad and Tobago.

Reference

1. Chollett I, Collin R, Bastidas C, Cro

´quer A, Gayle PMH, Jorda

´n-Dahlgren E, et al. (2017) Widespread

local chronic stressors in Caribbean coastal habitats. PLoS ONE 12(12): e0188564. https://doi.org/10.

1371/journal.pone.0188564 PMID: 29261694

PLOS ONE | https://doi.org/10.1371/journal.pone.0192016 January 25, 2018 1 / 1

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Citation: Chollett I, Collin R, Bastidas C, Cro

´quer A,

Gayle PMH, Jorda

´n-Dahlgren E, et al. (2018)

Correction: Widespread local chronic stressors in

Caribbean coastal habitats. PLoS ONE 13(1):

e0192016. https://doi.org/10.1371/journal.

pone.0192016

Published: January 25, 2018

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Widespread local chronic stressors in Caribbean coastal habitats

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Full-text available

Dec 2017
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Coastal ecosystems and the livelihoods they support are threatened by stressors acting at global and local scales. Here we used the data produced by the Caribbean Coastal Marine Productivity program (CARICOMP), the longest, largest monitoring program in the wider Caribbean, to evidence local-scale (decreases in water quality) and global-scale (increases in temperature) stressors across the basin. Trend analyses showed that visibility decreased at 42% of the stations, indicating that local-scale chronic stressors are widespread. On the other hand, only 18% of the stations showed increases in water temperature that would be expected from global warming, partially reflecting the limits in detecting trends due to inherent natural variability of temperature data. Decreases in visibility were associated with increased human density. However, this link can be decoupled by environmental factors, with conditions that increase the flush of water, dampening the effects of human influence. Besides documenting environmental stressors throughout the basin, our results can be used to inform future monitoring programs, if the desire is to identify stations that provide early warning signals of anthropogenic impacts. All CARICOMP environmental data are now available, providing an invaluable baseline that can be used to strengthen research, conservation, and management of coastal ecosystems in the Caribbean basin.

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