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Catchment land use predicts benthic vegetation in small estuaries

Many estuaries are becoming increasingly eutrophic from human activities within their catchments. Nutrient loads often are used to assess risk of eutrophication to estuaries, but such data are expensive and time consuming to obtain. We compared the percent of fertilized land within a catchment, diss...

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Autores principales: Cook, Perran L.M., Warry, Fiona Y., Reich, Paul, Mac Nally, Ralph, Woodland, Ryan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816580/
https://www.ncbi.nlm.nih.gov/pubmed/29473004
http://dx.doi.org/10.7717/peerj.4378
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author Cook, Perran L.M.
Warry, Fiona Y.
Reich, Paul
Mac Nally, Ralph
Woodland, Ryan J.
author_facet Cook, Perran L.M.
Warry, Fiona Y.
Reich, Paul
Mac Nally, Ralph
Woodland, Ryan J.
author_sort Cook, Perran L.M.
collection PubMed
description Many estuaries are becoming increasingly eutrophic from human activities within their catchments. Nutrient loads often are used to assess risk of eutrophication to estuaries, but such data are expensive and time consuming to obtain. We compared the percent of fertilized land within a catchment, dissolved inorganic nitrogen loads, catchment to estuary area ratio and flushing time as predictors of the proportion of macroalgae to total vegetation within 14 estuaries in south-eastern Australia. The percent of fertilized land within the catchment was the best predictor of the proportion of macroalgae within the estuaries studied. There was a transition to a dominance of macroalgae once the proportion of fertilized land in the catchment exceeded 24%, highlighting the sensitivity of estuaries to catchment land use.
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spelling pubmed-58165802018-02-22 Catchment land use predicts benthic vegetation in small estuaries Cook, Perran L.M. Warry, Fiona Y. Reich, Paul Mac Nally, Ralph Woodland, Ryan J. PeerJ Ecosystem Science Many estuaries are becoming increasingly eutrophic from human activities within their catchments. Nutrient loads often are used to assess risk of eutrophication to estuaries, but such data are expensive and time consuming to obtain. We compared the percent of fertilized land within a catchment, dissolved inorganic nitrogen loads, catchment to estuary area ratio and flushing time as predictors of the proportion of macroalgae to total vegetation within 14 estuaries in south-eastern Australia. The percent of fertilized land within the catchment was the best predictor of the proportion of macroalgae within the estuaries studied. There was a transition to a dominance of macroalgae once the proportion of fertilized land in the catchment exceeded 24%, highlighting the sensitivity of estuaries to catchment land use. PeerJ Inc. 2018-02-14 /pmc/articles/PMC5816580/ /pubmed/29473004 http://dx.doi.org/10.7717/peerj.4378 Text en ©2018 Cook et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecosystem Science
Cook, Perran L.M.
Warry, Fiona Y.
Reich, Paul
Mac Nally, Ralph
Woodland, Ryan J.
Catchment land use predicts benthic vegetation in small estuaries
title Catchment land use predicts benthic vegetation in small estuaries
title_full Catchment land use predicts benthic vegetation in small estuaries
title_fullStr Catchment land use predicts benthic vegetation in small estuaries
title_full_unstemmed Catchment land use predicts benthic vegetation in small estuaries
title_short Catchment land use predicts benthic vegetation in small estuaries
title_sort catchment land use predicts benthic vegetation in small estuaries
topic Ecosystem Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816580/
https://www.ncbi.nlm.nih.gov/pubmed/29473004
http://dx.doi.org/10.7717/peerj.4378
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