Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic)
Volcanic oceanic islands typically rise steeply from the ocean floor and are surrounded by narrow shelves produced by swell erosion on the islands' flanks. This study focuses on mapping the distribution of six macroalgae that dominate infralittoral on-shelf hard substrate biotopes around the is...
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ftunivwollongong:oai:ro.uow.edu.au:scipapers-7753 2023-05-15T17:41:04+02:00 Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) Tempera, Fernando MacKenzie, Monique Bashmachnikov, Igor Puotinen, Marjetta L Santos, Ricardo S Bates, Richard 2012-01-01T08:00:00Z https://ro.uow.edu.au/scipapers/4411 unknown Research Online https://ro.uow.edu.au/scipapers/4411 Faculty of Science - Papers (Archive) northeast atlantic island temperate shelves abundance azores macroalgae dominant modeling predictive Life Sciences Physical Sciences and Mathematics Social and Behavioral Sciences book_contribution 2012 ftunivwollongong 2020-02-25T10:54:10Z Volcanic oceanic islands typically rise steeply from the ocean floor and are surrounded by narrow shelves produced by swell erosion on the islands' flanks. This study focuses on mapping the distribution of six macroalgae that dominate infralittoral on-shelf hard substrate biotopes around the island of Faial (Azores, northeast Atlantic): articulated Corallinaceae, Codium elisabethae, Dictyota spp., Halopteris filicina, Padina pavonica, and Zonaria tournefortii. Semiquantitative data on their abundance, collected by SCUBA diving, ROV, and drop-down camera surveys, are intersected with a series of gemorphological and oceanographical explanatory variables collated from various sources that include multibeam surveys, satellite imagery, ooeanographic modeling. and GIS analysis. Ordered logistic regression models are used to find the combinations of major environmental variables that best explain the abundance variations observed. The predictive distribution maps obtained for the six macroalgae are combined to produce the first predictive map of macroalgal facies on an island shelf in the Azores. Depth- wise general and sectoral macroalgal zonation are also presented. Book Part Northeast Atlantic University of Wollongong, Australia: Research Online |
institution |
Open Polar |
collection |
University of Wollongong, Australia: Research Online |
op_collection_id |
ftunivwollongong |
language |
unknown |
topic |
northeast atlantic island temperate shelves abundance azores macroalgae dominant modeling predictive Life Sciences Physical Sciences and Mathematics Social and Behavioral Sciences |
spellingShingle |
northeast atlantic island temperate shelves abundance azores macroalgae dominant modeling predictive Life Sciences Physical Sciences and Mathematics Social and Behavioral Sciences Tempera, Fernando MacKenzie, Monique Bashmachnikov, Igor Puotinen, Marjetta L Santos, Ricardo S Bates, Richard Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
topic_facet |
northeast atlantic island temperate shelves abundance azores macroalgae dominant modeling predictive Life Sciences Physical Sciences and Mathematics Social and Behavioral Sciences |
description |
Volcanic oceanic islands typically rise steeply from the ocean floor and are surrounded by narrow shelves produced by swell erosion on the islands' flanks. This study focuses on mapping the distribution of six macroalgae that dominate infralittoral on-shelf hard substrate biotopes around the island of Faial (Azores, northeast Atlantic): articulated Corallinaceae, Codium elisabethae, Dictyota spp., Halopteris filicina, Padina pavonica, and Zonaria tournefortii. Semiquantitative data on their abundance, collected by SCUBA diving, ROV, and drop-down camera surveys, are intersected with a series of gemorphological and oceanographical explanatory variables collated from various sources that include multibeam surveys, satellite imagery, ooeanographic modeling. and GIS analysis. Ordered logistic regression models are used to find the combinations of major environmental variables that best explain the abundance variations observed. The predictive distribution maps obtained for the six macroalgae are combined to produce the first predictive map of macroalgal facies on an island shelf in the Azores. Depth- wise general and sectoral macroalgal zonation are also presented. |
format |
Book Part |
author |
Tempera, Fernando MacKenzie, Monique Bashmachnikov, Igor Puotinen, Marjetta L Santos, Ricardo S Bates, Richard |
author_facet |
Tempera, Fernando MacKenzie, Monique Bashmachnikov, Igor Puotinen, Marjetta L Santos, Ricardo S Bates, Richard |
author_sort |
Tempera, Fernando |
title |
Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
title_short |
Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
title_full |
Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
title_fullStr |
Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
title_full_unstemmed |
Predictive modeling of dominant macroalgae abundance on temperate island shelves (Azores, Northeast Atlantic) |
title_sort |
predictive modeling of dominant macroalgae abundance on temperate island shelves (azores, northeast atlantic) |
publisher |
Research Online |
publishDate |
2012 |
url |
https://ro.uow.edu.au/scipapers/4411 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Faculty of Science - Papers (Archive) |
op_relation |
https://ro.uow.edu.au/scipapers/4411 |
_version_ |
1766142302678417408 |