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Disentangling the influence of three major threats on the demography of an albatross community
Citation
Cleeland, JB and Pardo, D and Raymond, B and Tuck, GN and McMahon, CR and Phillips, RA and Alderman, R and Lea, M-A and Hindell, MA, Disentangling the influence of three major threats on the demography of an albatross community, Frontiers in Marine Science, 8 Article 578144. ISSN 2296-7745 (2021) [Refereed Article]
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Copyright Statement
Copyright © 2021. Cleeland, Pardo, Raymond, Tuck, McMahon, Phillips, Alderman, Lea and Hindell This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
DOI: doi:10.3389/fmars.2021.578144
Abstract
Climate change, fisheries and invasive species represent three pervasive threats to seabirds, globally. Understanding the relative influence and compounding nature of marine and terrestrial threats on the demography of seabird communities is vital for evidence-based conservation. Using 20 years of capture-mark-recapture data from four sympatric species of albatross (black-browed Thalassarche melanophris, gray-headed T. chrysostoma, light-mantled Phoebetria palpebrata and wandering Diomedea exulans) at subantarctic Macquarie Island, we quantified the temporal variability in survival, breeding probability and success. In three species (excluding the wandering albatross because of their small population), we also assessed the influence of fisheries, oceanographic and terrestrial change on these rates. The Southern Annular Mode (SAM) explained 20.87–29.38% of the temporal variability in survival in all three species and 22.72–28.60% in breeding success for black-browed and gray-headed albatross, with positive SAM events related to higher success. The El Niño Southern Oscillation (ENSO) Index explained 21.14–44.04% of the variability in survival, with higher survival rates following La Niña events. For black-browed albatrosses, effort in south-west Atlantic longline fisheries had a negative relationship with survival and explained 22.75–32.21% of the variability. Whereas increased effort in New Zealand trawl fisheries were related to increases in survival, explaining 21.26–28.29 % of variability. The inclusion of terrestrial covariates, reflecting extreme rainfall events and rabbit-driven habitat degradation, explained greater variability in trends breeding probability than oceanographic or fisheries covariates for all three species. These results indicate managing drivers of demographic trends that are most easily controlled, such as fisheries and habitat degradation, will be a viable option for some species (e.g., black-browed albatross) but less effective for others (e.g., light-mantled albatross). Our results illustrate the need to integrate fisheries, oceanographic and terrestrial processes when assessing demographic variability and formulating the appropriate management response.
Item Details
Item Type: | Refereed Article |
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Keywords: | climate change, fisheries, invasive species, multi-event models, reproductive success, seabirds, Southern Ocean, survival |
Research Division: | Earth Sciences |
Research Group: | Climate change science |
Research Field: | Climate change science not elsewhere classified |
Objective Division: | Environmental Management |
Objective Group: | Marine systems and management |
Objective Field: | Assessment and management of pelagic marine ecosystems |
UTAS Author: | Cleeland, JB (Dr Jaimie Cleeland) |
UTAS Author: | Raymond, B (Dr Ben Raymond) |
UTAS Author: | McMahon, CR (Dr Clive McMahon) |
UTAS Author: | Lea, M-A (Professor Mary-Anne Lea) |
UTAS Author: | Hindell, MA (Professor Mark Hindell) |
ID Code: | 148668 |
Year Published: | 2021 |
Web of Science® Times Cited: | 3 |
Deposited By: | Sustainable Marine Research Collaboration |
Deposited On: | 2022-02-01 |
Last Modified: | 2022-08-29 |
Downloads: | 10 View Download Statistics |
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