Environment-triggered demographic changes cascade and compound to propel a dramatic decline of an Antarctic seabird metapopulation

© 2022 Commonwealth of Australia. Global Change Biology © 2022 John Wiley & Sons Ltd.

Détails bibliographiques
Publié dans:Global change biology. - 1999. - 28(2022), 24 vom: 10. Dez., Seite 7234-7249
Auteur principal: Emmerson, Louise (Auteur)
Autres auteurs: Southwell, Colin
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:Global change biology
Sujets:Journal Article Antarctica climate change density dependence feedback loop intrinsic and extrinsic drivers population change
LEADER 01000caa a22002652c 4500
001 NLM347293891
003 DE-627
005 20250303225025.0
007 cr uuu---uuuuu
008 231226s2022 xx |||||o 00| ||eng c
024 7 |a 10.1111/gcb.16437  |2 doi 
028 5 2 |a pubmed25n1157.xml 
035 |a (DE-627)NLM347293891 
035 |a (NLM)36214124 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Emmerson, Louise  |e verfasserin  |4 aut 
245 1 0 |a Environment-triggered demographic changes cascade and compound to propel a dramatic decline of an Antarctic seabird metapopulation 
264 1 |c 2022 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 15.11.2022 
500 |a Date Revised 26.11.2022 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a © 2022 Commonwealth of Australia. Global Change Biology © 2022 John Wiley & Sons Ltd. 
520 |a While seabirds are well-known for making a living under some of the harshest conditions on the planet, their capacity to buffer against unfavourable conditions can be stretched in response to ecosystem change. During population increases, overlap between conspecifics can limit population growth through competition for breeding or feeding resources. What is less well understood is the role that intrinsic processes play during periods of population decline or under a changing environment. We interrogate key demographic parameters and their biophysical drivers to understand the role of intrinsic and extrinsic drivers during a recent near halving of a large Adélie penguin (Pygoscelis adeliae) metapopulation. The loss of 154,000 breeding birds along the 100-km East Antarctic coastline centred around 63°E over the last decade diverges from a sustained increase over preceding decades and is contrary to recent models that predict a continued increase. The decline was initially triggered by changed environmental conditions: more extensive near-shore sea ice caused a reduction in breeding success. The evidence suggests this decline was exacerbated by feedback processes driving an inverse density-dependent decrease in fledgling survival in response to smaller cohort size. It appears that the old adage of safety in numbers may shape the fledgling penguins' chances of survival and, if compromised over multiple years, could exacerbate difficulties during population decline or if feedback processes arise. The likely interplay between demographic parameters meant that conditions were more unfavourable and negative effects more rapid than would be expected if demographic processes acted in isolation or independently. Failure to capture both intrinsic and extrinsic drivers in predictive population models may mean that the real impacts of climate change on species' populations are more severe than projections would lead us to believe. These results improve our understanding of population regulation during periods of rapid decline for long-lived marine species 
650 4 |a Journal Article 
650 4 |a Antarctica 
650 4 |a climate change 
650 4 |a density dependence 
650 4 |a feedback loop 
650 4 |a intrinsic and extrinsic drivers 
650 4 |a population change 
700 1 |a Southwell, Colin  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 28(2022), 24 vom: 10. Dez., Seite 7234-7249  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnas 
773 1 8 |g volume:28  |g year:2022  |g number:24  |g day:10  |g month:12  |g pages:7234-7249 
856 4 0 |u http://dx.doi.org/10.1111/gcb.16437  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 28  |j 2022  |e 24  |b 10  |c 12  |h 7234-7249