Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula
1. Antarctica is an iconic region for scientific explorations as it is remote and a critical component of the global climate system. Recent climate change causes dramatic retreat of ice in Antarctica with associated impacts to its coastal ecosystem. These anthropogenic impacts have a potential to in...
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ftdryad:oai:v1.datadryad.org:10255/dryad.186846 2023-05-15T13:51:25+02:00 Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula Kotta, Jonne Valdivia, Nelson Kutser, Tiit Toming, Kaire Rätsep, Merli Orav-Kotta, Helen Antarctic Peninsula 2018-08-21T11:38:44Z http://hdl.handle.net/10255/dryad.186846 https://doi.org/10.5061/dryad.33cd137 unknown doi:10.5061/dryad.33cd137/1 doi:10.1002/ece3.4463 doi:10.5061/dryad.33cd137 Kotta J, Valdivia N, Kutser T, Toming K, Rätsep M, Orav-Kotta H (2018) Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula. Ecology and Evolution 8(17): 9086-9094. http://hdl.handle.net/10255/dryad.186846 benthic vegetation biotic patterns climate change remote sensing Sentinel-2A Article 2018 ftdryad https://doi.org/10.5061/dryad.33cd137 https://doi.org/10.5061/dryad.33cd137/1 https://doi.org/10.1002/ece3.4463 2020-01-01T16:12:53Z 1. Antarctica is an iconic region for scientific explorations as it is remote and a critical component of the global climate system. Recent climate change causes dramatic retreat of ice in Antarctica with associated impacts to its coastal ecosystem. These anthropogenic impacts have a potential to increase habitat availability for Antarctic intertidal assemblages. Assessing the extent and ecological consequences of these changes requires us to develop accurate biotic baselines and quantitative predictive tools. 2. In this study, we demonstrated that satellite based remote sensing, when used jointly with in-situ ground-truthing and machine learning algorithms, provides a powerful tool to predict the cover and richness of intertidal macroalgae. 3. The salient finding was that the Sentinel-based remote sensing described a significant proportion of variability in the cover and richness of Antarctic macroalgae. The highest performing models were for macroalgal richness and the cover of brown and green algae as opposed to the model of red algal cover. 4. When expanding the geographical range of the ground-truthing, even involving only a few sample points, it becomes possible to potentially map other Antarctic intertidal macroalgal habitats and monitor their dynamics. This is a significant milestone as logistical constraints are an integral part of the Antarctic expeditions. The method has also a potential in other remote coastal areas where extensive in-situ mapping is not feasible. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica Dryad Digital Repository (Duke University) Antarctic The Antarctic Antarctic Peninsula The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
benthic vegetation biotic patterns climate change remote sensing Sentinel-2A |
spellingShingle |
benthic vegetation biotic patterns climate change remote sensing Sentinel-2A Kotta, Jonne Valdivia, Nelson Kutser, Tiit Toming, Kaire Rätsep, Merli Orav-Kotta, Helen Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
topic_facet |
benthic vegetation biotic patterns climate change remote sensing Sentinel-2A |
description |
1. Antarctica is an iconic region for scientific explorations as it is remote and a critical component of the global climate system. Recent climate change causes dramatic retreat of ice in Antarctica with associated impacts to its coastal ecosystem. These anthropogenic impacts have a potential to increase habitat availability for Antarctic intertidal assemblages. Assessing the extent and ecological consequences of these changes requires us to develop accurate biotic baselines and quantitative predictive tools. 2. In this study, we demonstrated that satellite based remote sensing, when used jointly with in-situ ground-truthing and machine learning algorithms, provides a powerful tool to predict the cover and richness of intertidal macroalgae. 3. The salient finding was that the Sentinel-based remote sensing described a significant proportion of variability in the cover and richness of Antarctic macroalgae. The highest performing models were for macroalgal richness and the cover of brown and green algae as opposed to the model of red algal cover. 4. When expanding the geographical range of the ground-truthing, even involving only a few sample points, it becomes possible to potentially map other Antarctic intertidal macroalgal habitats and monitor their dynamics. This is a significant milestone as logistical constraints are an integral part of the Antarctic expeditions. The method has also a potential in other remote coastal areas where extensive in-situ mapping is not feasible. |
format |
Article in Journal/Newspaper |
author |
Kotta, Jonne Valdivia, Nelson Kutser, Tiit Toming, Kaire Rätsep, Merli Orav-Kotta, Helen |
author_facet |
Kotta, Jonne Valdivia, Nelson Kutser, Tiit Toming, Kaire Rätsep, Merli Orav-Kotta, Helen |
author_sort |
Kotta, Jonne |
title |
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
title_short |
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
title_full |
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
title_fullStr |
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
title_full_unstemmed |
Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula |
title_sort |
data from: predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the antarctic peninsula |
publishDate |
2018 |
url |
http://hdl.handle.net/10255/dryad.186846 https://doi.org/10.5061/dryad.33cd137 |
op_coverage |
Antarctic Peninsula |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Antarctic The Antarctic Antarctic Peninsula The Sentinel |
geographic_facet |
Antarctic The Antarctic Antarctic Peninsula The Sentinel |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica |
op_relation |
doi:10.5061/dryad.33cd137/1 doi:10.1002/ece3.4463 doi:10.5061/dryad.33cd137 Kotta J, Valdivia N, Kutser T, Toming K, Rätsep M, Orav-Kotta H (2018) Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula. Ecology and Evolution 8(17): 9086-9094. http://hdl.handle.net/10255/dryad.186846 |
op_doi |
https://doi.org/10.5061/dryad.33cd137 https://doi.org/10.5061/dryad.33cd137/1 https://doi.org/10.1002/ece3.4463 |
_version_ |
1766255290547699712 |