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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ftzenodo:oai:zenodo.org:4978836 2023-06-06T11:44:19+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 2019-07-13 https://zenodo.org/record/4978836 https://doi.org/10.5061/dryad.33cd137 unknown doi:10.1002/ece3.4463 https://zenodo.org/communities/dryad https://zenodo.org/record/4978836 https://doi.org/10.5061/dryad.33cd137 oai:zenodo.org:4978836 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode biotic patterns benthic vegetation Adenocystis utricularis Sentinel-2A Iridaea cordata Urospora penicilliformis info:eu-repo/semantics/other dataset 2019 ftzenodo https://doi.org/10.5061/dryad.33cd13710.1002/ece3.4463 2023-04-13T21:29:10Z 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. dataSHEET DATA Cover of substrate types and cover (%) and richness of macroalgal taxonomic groups along with values of the bottom of atmosphere reflectance at different spatial resolution (in metres) at an indicative wavelength. SHEET EXTERNAL VALIDATION DATASET Percent coverage of different macroalgal taxonomic group or macroalgal richness estimated by our BRT modelling together with that estimated during a separate field survey. Dataset Antarc* Antarctic Antarctic Peninsula Antarctica Zenodo Antarctic Antarctic Peninsula The Antarctic The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) |
institution |
Open Polar |
collection |
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op_collection_id |
ftzenodo |
language |
unknown |
topic |
biotic patterns benthic vegetation Adenocystis utricularis Sentinel-2A Iridaea cordata Urospora penicilliformis |
spellingShingle |
biotic patterns benthic vegetation Adenocystis utricularis Sentinel-2A Iridaea cordata Urospora penicilliformis 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 |
biotic patterns benthic vegetation Adenocystis utricularis Sentinel-2A Iridaea cordata Urospora penicilliformis |
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. dataSHEET DATA Cover of substrate types and cover (%) and richness of macroalgal taxonomic groups along with values of the bottom of atmosphere reflectance at different spatial resolution (in metres) at an indicative wavelength. SHEET EXTERNAL VALIDATION DATASET Percent coverage of different macroalgal taxonomic group or macroalgal richness estimated by our BRT modelling together with that estimated during a separate field survey. |
format |
Dataset |
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 |
2019 |
url |
https://zenodo.org/record/4978836 https://doi.org/10.5061/dryad.33cd137 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Antarctic Antarctic Peninsula The Antarctic The Sentinel |
geographic_facet |
Antarctic Antarctic Peninsula The Antarctic The Sentinel |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica |
op_relation |
doi:10.1002/ece3.4463 https://zenodo.org/communities/dryad https://zenodo.org/record/4978836 https://doi.org/10.5061/dryad.33cd137 oai:zenodo.org:4978836 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.33cd13710.1002/ece3.4463 |
_version_ |
1767960481373356032 |