dc.contributor.author | Jones, Alice R. | |
dc.contributor.author | Bull, C. Michael | |
dc.contributor.author | Brook, Barry W. | |
dc.contributor.author | Wells, Konstans | |
dc.contributor.author | Pollock, Kenneth H. | |
dc.contributor.author | Fordham, Damien A. | |
dc.date.accessioned | 2018-05-21T03:22:53Z | |
dc.date.available | 2018-05-21T03:22:53Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1365-2656 | |
dc.identifier.doi | 10.1111/1365-2656.12469 | |
dc.identifier.uri | http://hdl.handle.net/10072/142316 | |
dc.description.abstract | 1. Assessing the impacts of multiple, often synergistic, stressors on the population dynamics
of long-lived species is becoming increasingly important due to recent and future global
change.
2. Tiliqua rugosa (sleepy lizard) is a long-lived skink (>30 years) that is adapted to survive in
semi-arid environments with varying levels of parasite exposure and highly seasonal food
availability. We used an exhaustive database of 30 years of capture–mark–recapture records
to quantify the impacts of both parasite exposure and environmental conditions on the
lizard’s survival rates and long-term population dynamics.
3. Lizard abundance was relatively stable throughout the study period; however, there were
changing patterns in adult and juvenile apparent survival rates, driven by spatial and temporal
variation in levels of tick exposure and temporal variation in environmental conditions.
Extreme weather events during the winter and spring seasons were identified as important
environmental drivers of survival.
4. Climate models predict a dramatic increase in the frequency of extreme hot and dry winter
and spring seasons in our South Australian study region; from a contemporary probability of
0 17 up to 0 47–0 83 in 2080 depending on the emissions scenario. Our stochastic population
model projections showed that these future climatic conditions will induce a decline in the
abundance of this long-lived reptile of up to 67% within 30 years from 2080, under worst
case scenario modelling.
5. The results have broad implications for future work investigating the drivers of population
dynamics and persistence. We highlight the importance of long-term data sets and accounting
for synergistic impacts between multiple stressors. We show that predicted increases in the
frequency of extreme climate events have the potential to considerably and negatively
influence a long-lived species, which might previously have been assumed to be resilient to
environmental perturbations. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Wiley-Blackwell Publishing | |
dc.relation.ispartofpagefrom | 598 | |
dc.relation.ispartofpageto | 610 | |
dc.relation.ispartofissue | 2 | |
dc.relation.ispartofjournal | Journal of Animal Ecology | |
dc.relation.ispartofvolume | 85 | |
dc.subject.fieldofresearch | Population Ecology | |
dc.subject.fieldofresearch | Vertebrate Biology | |
dc.subject.fieldofresearch | Environmental Sciences | |
dc.subject.fieldofresearch | Biological Sciences | |
dc.subject.fieldofresearch | Agricultural and Veterinary Sciences | |
dc.subject.fieldofresearchcode | 060207 | |
dc.subject.fieldofresearchcode | 060809 | |
dc.subject.fieldofresearchcode | 05 | |
dc.subject.fieldofresearchcode | 06 | |
dc.subject.fieldofresearchcode | 07 | |
dc.title | Tick exposure and extreme climate events impact survival and threaten the persistence of a long-lived lizard | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Wells, Konstans | |