Not all seabird species can overcome marine threats when predator removal at their colonies is prioritised
Borrelle, S. B.; Jones, H. P.; Richard, Y.; Salguero-Gomez, R.
Show abstract
Seabirds are globally threatened. In the face of multiple threats, it is critical to understand how conservation strategies that mitigate one threat intersect with others to impact population viability. Marine threats, including pollution, climate change, and fisheries could derail gains to seabird populations resulting from arduous predator eradication efforts. However, this potentially negative effect is yet to be evaluated. We test whether mortality from marine threats can subvert the on-going recovery of 17 seabird species from 37 colonies on islands worldwide where predators were removed. We use demographic modelling to estimate potential adult mortality from fisheries, plastic ingestion, and climate change. For 82% of the species we examine, marine threats do not impede recovery following predator eradication. However, for six colonies of three species, Calonectris diomedea, C. borealis, and Ardenna carneipes, mortality from multiple marine threats may interrupt their recovery. Combining our demographic approach with comparative phylogenetic methods, we explore whether foraging niche, range, and morphometric traits inform the vulnerability to marine threats using an expanded dataset of 81 seabird species. Our analyses reveal surface filtering and pursuit diving species, and species with smaller at-sea distributions to be most vulnerable to declines due to multiple threats. However, these traits do not necessarily predict species vulnerability to marine threats in the absence of predators at nesting colonies, suggesting that shared traits may not be useful to infer vulnerability to multiple marine threats. Post-eradication monitoring to determine whether species require additional conservation management following predator eradication are essential in the face of intensifying pressures in the marine environment.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Modelling the probability of meeting IUCN Red List criteria to support reassessments. 94%
- Transient demographic dynamics of recovering fish populations shaped by past climate variability, harvest, and management 93%
- Postglacial recolonization of the Southern Ocean by elephant seals occurred from multiple glacial refugia 92%
Similar papers in this journal
- Biological traits of seabirds predict extinction risk and vulnerability to anthropogenic threats 97%
- Combined effects of bird extinctions and introductions in oceanic islands: decreased functional diversity despite increased species richness 93%
- Diverse strategies for tracking seasonal environmental niches at hemispheric scale 91%
Similar papers in this journal
- Life-history traits inform on population trends when assessing the conservation status of a declining tiger shark population 93%
- Long-term population dynamics of an endangered butterfly are influenced by hurricane-mediated disturbance 91%
- High conservation priority of range-edge plant populations not matched by habitat protection or research effort 91%
Similar papers in this journal
- Body mass and latitude as global predictors of vertebrate populations exposure to multiple threats 96%
- Elevated human impact on islands increases the introduction and extinction status of native insular reptiles 93%
- Identifying barriers to gene flow and hierarchical conservation units from seascape genomics: a modelling framework applied to a marine predator 93%
Similar papers in this journal
- Generation time and seasonal migration explain variation in spatial population synchrony across European bird species 94%
- Path analysis reveals combined winter climate and pollution effects on the survival of a marine top predator 93%
- Unravelling processes between phenotypic plasticity and population dynamics in migratory birds 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.