Detecting population trends for US marine mammals
Abstract Trend analysis can provide valuable information about marine mammal population dynamics, potentially revealing the influence of environmental factors and inform conservation and management decisions. We reviewed the marine mammal stock assessment reports (SARs) published by the US National...
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ftdoajarticles:oai:doaj.org/article:0cc5b5af23dc4b75af6c6f9360595b0e 2023-05-15T15:41:53+02:00 Detecting population trends for US marine mammals Easton R. White Zachary Schakner Amber Bellamy Mridula Srinivasan 2022-03-01T00:00:00Z https://doi.org/10.1111/csp2.611 https://doaj.org/article/0cc5b5af23dc4b75af6c6f9360595b0e EN eng Wiley https://doi.org/10.1111/csp2.611 https://doaj.org/toc/2578-4854 2578-4854 doi:10.1111/csp2.611 https://doaj.org/article/0cc5b5af23dc4b75af6c6f9360595b0e Conservation Science and Practice, Vol 4, Iss 3, Pp n/a-n/a (2022) marine mammals population dynamics trend analysis population monitoring Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 article 2022 ftdoajarticles https://doi.org/10.1111/csp2.611 2022-12-31T11:27:36Z Abstract Trend analysis can provide valuable information about marine mammal population dynamics, potentially revealing the influence of environmental factors and inform conservation and management decisions. We reviewed the marine mammal stock assessment reports (SARs) published by the US National Marine Fisheries Service and found that 80% of the selected 244 marine mammal stocks with SARs lack assessment for trends in population abundance. We compared trend analysis with another common management tool, potential biological removal (PBR), a measure of the maximum human‐caused mortality that can still result in positive population growth. We found that, generally, estimates of PBR were lower for declining stocks than for increasing or stable stocks and varied by life history characteristics. As a case study, we used a resampling approach on three well‐studied stocks, killer whale (Orcinus orca—Northern Resident), beluga (Delphinapterus leucas—Cook Inlet), and humpback whale (Megaptera novaeangliae—CA/OR/WA), to test the minimal amount of time and sampling necessary to detect population trends with high statistical power. We found seven sampling events over more than 10 years were needed for a high statistical power level for all three stocks. Altogether, these findings suggest that well‐studied stocks can provide crucial information on the statistical requirements for detecting trends. Furthermore, our proposed resampling approach might enable more frequent trend analysis, even with limited time series available for many stocks. Article in Journal/Newspaper Beluga Beluga* Delphinapterus leucas Humpback Whale Killer Whale Megaptera novaeangliae Orca Orcinus orca Killer whale Directory of Open Access Journals: DOAJ Articles Conservation Science and Practice 4 3 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
marine mammals population dynamics trend analysis population monitoring Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
marine mammals population dynamics trend analysis population monitoring Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 Easton R. White Zachary Schakner Amber Bellamy Mridula Srinivasan Detecting population trends for US marine mammals |
topic_facet |
marine mammals population dynamics trend analysis population monitoring Ecology QH540-549.5 General. Including nature conservation geographical distribution QH1-199.5 |
description |
Abstract Trend analysis can provide valuable information about marine mammal population dynamics, potentially revealing the influence of environmental factors and inform conservation and management decisions. We reviewed the marine mammal stock assessment reports (SARs) published by the US National Marine Fisheries Service and found that 80% of the selected 244 marine mammal stocks with SARs lack assessment for trends in population abundance. We compared trend analysis with another common management tool, potential biological removal (PBR), a measure of the maximum human‐caused mortality that can still result in positive population growth. We found that, generally, estimates of PBR were lower for declining stocks than for increasing or stable stocks and varied by life history characteristics. As a case study, we used a resampling approach on three well‐studied stocks, killer whale (Orcinus orca—Northern Resident), beluga (Delphinapterus leucas—Cook Inlet), and humpback whale (Megaptera novaeangliae—CA/OR/WA), to test the minimal amount of time and sampling necessary to detect population trends with high statistical power. We found seven sampling events over more than 10 years were needed for a high statistical power level for all three stocks. Altogether, these findings suggest that well‐studied stocks can provide crucial information on the statistical requirements for detecting trends. Furthermore, our proposed resampling approach might enable more frequent trend analysis, even with limited time series available for many stocks. |
format |
Article in Journal/Newspaper |
author |
Easton R. White Zachary Schakner Amber Bellamy Mridula Srinivasan |
author_facet |
Easton R. White Zachary Schakner Amber Bellamy Mridula Srinivasan |
author_sort |
Easton R. White |
title |
Detecting population trends for US marine mammals |
title_short |
Detecting population trends for US marine mammals |
title_full |
Detecting population trends for US marine mammals |
title_fullStr |
Detecting population trends for US marine mammals |
title_full_unstemmed |
Detecting population trends for US marine mammals |
title_sort |
detecting population trends for us marine mammals |
publisher |
Wiley |
publishDate |
2022 |
url |
https://doi.org/10.1111/csp2.611 https://doaj.org/article/0cc5b5af23dc4b75af6c6f9360595b0e |
genre |
Beluga Beluga* Delphinapterus leucas Humpback Whale Killer Whale Megaptera novaeangliae Orca Orcinus orca Killer whale |
genre_facet |
Beluga Beluga* Delphinapterus leucas Humpback Whale Killer Whale Megaptera novaeangliae Orca Orcinus orca Killer whale |
op_source |
Conservation Science and Practice, Vol 4, Iss 3, Pp n/a-n/a (2022) |
op_relation |
https://doi.org/10.1111/csp2.611 https://doaj.org/toc/2578-4854 2578-4854 doi:10.1111/csp2.611 https://doaj.org/article/0cc5b5af23dc4b75af6c6f9360595b0e |
op_doi |
https://doi.org/10.1111/csp2.611 |
container_title |
Conservation Science and Practice |
container_volume |
4 |
container_issue |
3 |
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1766374770177212416 |