The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean
The Antarctic krill is a pivotal species in the Southern Ocean ecosystem, primarily due to its extraordinary nutritional content and plentiful resources. Studying the distribution of these resources and their environmental impact factors is crucial for the successful development of Antarctic krill f...
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crfrontiers:10.3389/fmars.2024.1287229 2024-03-31T07:49:12+00:00 The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean Zhong, Chunyi Chen, Peng Zhang, Zhenhua Xie, Congshuang Zhang, Siqi Sun, Miao Wu, DanChen 2024 http://dx.doi.org/10.3389/fmars.2024.1287229 https://www.frontiersin.org/articles/10.3389/fmars.2024.1287229/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 11 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2024 crfrontiers https://doi.org/10.3389/fmars.2024.1287229 2024-03-05T00:17:01Z The Antarctic krill is a pivotal species in the Southern Ocean ecosystem, primarily due to its extraordinary nutritional content and plentiful resources. Studying the distribution of these resources and their environmental impact factors is crucial for the successful development of Antarctic krill fisheries. Traditional methodologies such as acoustic measurements, however, often face limitations in their capacity to provide a comprehensive and uninterrupted assessment. Moreover, the six-month duration of polar nights in polar regions presents significant challenges for traditional satellite observations. In this context, LiDAR, an active remote sensing observation method, offers a promising alternative. Known for their high resolution, flexibility, and efficiency, LiDAR systems can obtain detailed information on diurnal ocean parameters in polar regions on a vast scale and in a systematic way. Our study utilizes the spaceborne LiDAR system, CALIPSO, to successfully attain continuous Antarctic krill CPUE over the past decade, using various models such as the generalized linear model (GLM), artificial neural network (ANN), and support vector machine (SVM). A comparative analysis of the prediction results reveals that while both ANN and SVM models outperform the GLM, the SVM’s prediction capabilities are somewhat unstable. Our findings reveal CALIPSO’s potential in overcoming challenges associated with traditional satellite observations during polar winters. In addition, we found no obvious pattern of interannual variation in krill CPUE, with high values predominantly occurring from February to May. This suggests that krill is mainly located around the South Shetland Islands during January-April, before moving offshore towards South Georgia in May-June. A substantial krill aggregation community is found in the South Atlantic waters, indicating high potential for krill fishing. The optimum mix layer depth range for high krill CPUE is 270-390 m, with a chlorophyll concentration of approximately 0.1 mg m -3 . The ... Article in Journal/Newspaper Antarc* Antarctic Antarctic Krill South Shetland Islands Southern Ocean Frontiers (Publisher) Antarctic Southern Ocean The Antarctic South Shetland Islands Frontiers in Marine Science 11 |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography Zhong, Chunyi Chen, Peng Zhang, Zhenhua Xie, Congshuang Zhang, Siqi Sun, Miao Wu, DanChen The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
topic_facet |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
description |
The Antarctic krill is a pivotal species in the Southern Ocean ecosystem, primarily due to its extraordinary nutritional content and plentiful resources. Studying the distribution of these resources and their environmental impact factors is crucial for the successful development of Antarctic krill fisheries. Traditional methodologies such as acoustic measurements, however, often face limitations in their capacity to provide a comprehensive and uninterrupted assessment. Moreover, the six-month duration of polar nights in polar regions presents significant challenges for traditional satellite observations. In this context, LiDAR, an active remote sensing observation method, offers a promising alternative. Known for their high resolution, flexibility, and efficiency, LiDAR systems can obtain detailed information on diurnal ocean parameters in polar regions on a vast scale and in a systematic way. Our study utilizes the spaceborne LiDAR system, CALIPSO, to successfully attain continuous Antarctic krill CPUE over the past decade, using various models such as the generalized linear model (GLM), artificial neural network (ANN), and support vector machine (SVM). A comparative analysis of the prediction results reveals that while both ANN and SVM models outperform the GLM, the SVM’s prediction capabilities are somewhat unstable. Our findings reveal CALIPSO’s potential in overcoming challenges associated with traditional satellite observations during polar winters. In addition, we found no obvious pattern of interannual variation in krill CPUE, with high values predominantly occurring from February to May. This suggests that krill is mainly located around the South Shetland Islands during January-April, before moving offshore towards South Georgia in May-June. A substantial krill aggregation community is found in the South Atlantic waters, indicating high potential for krill fishing. The optimum mix layer depth range for high krill CPUE is 270-390 m, with a chlorophyll concentration of approximately 0.1 mg m -3 . The ... |
format |
Article in Journal/Newspaper |
author |
Zhong, Chunyi Chen, Peng Zhang, Zhenhua Xie, Congshuang Zhang, Siqi Sun, Miao Wu, DanChen |
author_facet |
Zhong, Chunyi Chen, Peng Zhang, Zhenhua Xie, Congshuang Zhang, Siqi Sun, Miao Wu, DanChen |
author_sort |
Zhong, Chunyi |
title |
The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
title_short |
The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
title_full |
The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
title_fullStr |
The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
title_full_unstemmed |
The use of spaceborne lidar to map Antarctic krill distributions and biomass in the Southern Ocean |
title_sort |
use of spaceborne lidar to map antarctic krill distributions and biomass in the southern ocean |
publisher |
Frontiers Media SA |
publishDate |
2024 |
url |
http://dx.doi.org/10.3389/fmars.2024.1287229 https://www.frontiersin.org/articles/10.3389/fmars.2024.1287229/full |
geographic |
Antarctic Southern Ocean The Antarctic South Shetland Islands |
geographic_facet |
Antarctic Southern Ocean The Antarctic South Shetland Islands |
genre |
Antarc* Antarctic Antarctic Krill South Shetland Islands Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctic Krill South Shetland Islands Southern Ocean |
op_source |
Frontiers in Marine Science volume 11 ISSN 2296-7745 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmars.2024.1287229 |
container_title |
Frontiers in Marine Science |
container_volume |
11 |
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1795038251444076544 |