Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison
Fish population fluctuations have been widely documented and are often attributed to climate variability, but little is known about their relationship. This is a barrier that restricts our capacity to understand climate effects on fish fluctuations. Here, we collected published data to conduct a com...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Fishes |
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| Online Access: | https://www.mdpi.com/2410-3888/7/4/193 |
| _version_ | 1797410300882845696 |
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| author | Haoyu Li Xiaonan Zhang Yang Zhang Qi Liu Fengwen Liu Donglin Li Hucai Zhang |
| author_facet | Haoyu Li Xiaonan Zhang Yang Zhang Qi Liu Fengwen Liu Donglin Li Hucai Zhang |
| author_sort | Haoyu Li |
| collection | DOAJ |
| description | Fish population fluctuations have been widely documented and are often attributed to climate variability, but little is known about their relationship. This is a barrier that restricts our capacity to understand climate effects on fish fluctuations. Here, we collected published data to conduct a comparative analysis of time series in terms of both scale deposition rate (SDR) and catch to indicate the abundance of anchovy and explored its relationships with climatic and environmental parameters. We first conducted a Spearman correlation analysis to identify the differences in the SDR between sites. Then, we used Generalized Additive Models to evaluate the effects of external forcing at multiple spatial scales (i.e., local and global scales) on the anchovy catches recorded at the California Current Ecosystem (CCE), Humboldt Current Ecosystem (HCE), and Kuroshio Current Ecosystem (KCE). We found that the SDRs at different sites in the same Current Systems are generally consistent, while there are more differences between different systems. We also found that the Pacific Decadal Oscillation index (PDOI), North Pacific index (NPI), North Pacific Gyre Oscillation index (NPGOI), Sea Surface Temperature anomaly (SSTA), and Air Temperature anomaly (ATA) were the most influential factors explaining the variability in anchovy catch for CCE, whereas the NPGOI was the most influential factor for HCE. The PDOI was the best at explaining the variability in anchovy catch for KCE. Our results suggest that anchovy fluctuations in the Pan-Pacific occurred synchronously. These seemingly unrelated events, which occurred thousands of kilometers apart, were actually not isolated. Therefore, we suggest that large-scale climate forcing may activate synchronous fluctuations for anchovy populations at the basin scale, whereas local-scale environmental forces are also responsible for anchovy fluctuations in the “micro-environment”. |
| first_indexed | 2024-03-09T04:27:05Z |
| format | Article |
| id | doaj.art-ac5414e464df4d26ae6702ecc8e32281 |
| institution | Directory Open Access Journal |
| issn | 2410-3888 |
| language | English |
| last_indexed | 2024-03-09T04:27:05Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fishes |
| spelling | doaj.art-ac5414e464df4d26ae6702ecc8e322812023-12-03T13:38:51ZengMDPI AGFishes2410-38882022-08-017419310.3390/fishes7040193Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide ComparisonHaoyu Li0Xiaonan Zhang1Yang Zhang2Qi Liu3Fengwen Liu4Donglin Li5Hucai Zhang6Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, ChinaFish population fluctuations have been widely documented and are often attributed to climate variability, but little is known about their relationship. This is a barrier that restricts our capacity to understand climate effects on fish fluctuations. Here, we collected published data to conduct a comparative analysis of time series in terms of both scale deposition rate (SDR) and catch to indicate the abundance of anchovy and explored its relationships with climatic and environmental parameters. We first conducted a Spearman correlation analysis to identify the differences in the SDR between sites. Then, we used Generalized Additive Models to evaluate the effects of external forcing at multiple spatial scales (i.e., local and global scales) on the anchovy catches recorded at the California Current Ecosystem (CCE), Humboldt Current Ecosystem (HCE), and Kuroshio Current Ecosystem (KCE). We found that the SDRs at different sites in the same Current Systems are generally consistent, while there are more differences between different systems. We also found that the Pacific Decadal Oscillation index (PDOI), North Pacific index (NPI), North Pacific Gyre Oscillation index (NPGOI), Sea Surface Temperature anomaly (SSTA), and Air Temperature anomaly (ATA) were the most influential factors explaining the variability in anchovy catch for CCE, whereas the NPGOI was the most influential factor for HCE. The PDOI was the best at explaining the variability in anchovy catch for KCE. Our results suggest that anchovy fluctuations in the Pan-Pacific occurred synchronously. These seemingly unrelated events, which occurred thousands of kilometers apart, were actually not isolated. Therefore, we suggest that large-scale climate forcing may activate synchronous fluctuations for anchovy populations at the basin scale, whereas local-scale environmental forces are also responsible for anchovy fluctuations in the “micro-environment”.https://www.mdpi.com/2410-3888/7/4/193scale deposition ratecatch statisticsanchovy fluctuationsclimate variabilityenvironmental oscillation |
| spellingShingle | Haoyu Li Xiaonan Zhang Yang Zhang Qi Liu Fengwen Liu Donglin Li Hucai Zhang Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison Fishes scale deposition rate catch statistics anchovy fluctuations climate variability environmental oscillation |
| title | Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison |
| title_full | Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison |
| title_fullStr | Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison |
| title_full_unstemmed | Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison |
| title_short | Climate-Driven Synchrony in Anchovy Fluctuations: A Pacific-Wide Comparison |
| title_sort | climate driven synchrony in anchovy fluctuations a pacific wide comparison |
| topic | scale deposition rate catch statistics anchovy fluctuations climate variability environmental oscillation |
| url | https://www.mdpi.com/2410-3888/7/4/193 |
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