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  • Genomics detects population structure within and between ocean basins in a circumpolar seabird: The white‐chinned petrel
    Publication . Rexer-Huber, Kalinka; Veale, Andrew; Catry, Paulo; Cherel, Yves; Dutoit, Ludovic; Foster, Yasmin; McEwan, John C.; Parker, Graham C.; Phillips, Richard; Ryan, Peter G.; Stanworth, Andrew J.; Van Stijn, Tracey; Thompson, David R.; Waters, Jonathan; Robertson, Bruce
    The Southern Ocean represents a continuous stretch of circumpolar marine habitat, but the potential physical and ecological drivers of evolutionary genetic differentiation across this vast ecosystem remain unclear. We tested for genetic structure across the full circumpolar range of the white-chinned petrel (Procellaria aequinoctialis) to unravel the potential drivers of population differentiation and test alternative population differentiation hypotheses. Following range-wide comprehensive sampling, we applied genomic (genotyping-by-sequencing or GBS; 60,709 loci) and standard mitochondrial-marker approaches (cytochrome b and first domain of control region) to quantify genetic diversity within and among island populations, test for isolation by distance, and quantify the number of genetic clusters using neutral and outlier (non-neutral) loci. Our results supported the multi-region hypothesis, with a range of analyses showing clear three-region genetic population structure, split by ocean basin, within two evolutionary units. The most significant differentiation between these regions confirmed previous work distinguishing New Zealand and nominate subspecies. Although there was little evidence of structure within the island groups of the Indian or Atlantic oceans, a small set of highly-discriminatory outlier loci could assign petrels to ocean basin and potentially to island group, though the latter needs further verification. Genomic data hold the key to revealing substantial regional genetic structure within wide-ranging circumpolar species previously assumed to be panmictic.
  • Corrigendum to “Quantifying annual spatial consistency in chick-rearing seabirds to inform important site identification” [Biol. Conserv. 281 (2023) 109994]
    Publication . Beal, Martin; Catry, Paulo; Phillips, Richard A.; Oppel, Steffen; Arnould, John P.Y.; Bogdanova, Maria; Bolton, Mark; Carneiro, Ana P.B.; Clatterbuck, Corey; Conners, Melinda; Daunt, Francis; Delord, Karine; Elliott, Kyle; Fromant, Aymeric; Granadeiro, José P.; Green, Jonathan A.; Halsey, Lewis; Hamer, Keith C.; Ito, Motohiro; Jeavons, Ruth; Kim, Jeong-Hoon; Kokubun, Nobuo; Koyama, Shiho; Lane, Jude V; Lee, Won Young; Matsumoto, Sakiko; Orben, Rachael; Owen, Ellie; Paiva, Vitor H.; Patterson, Allison; Pollock, Christopher J.; Ramos, Jaime A.; Sagar, Paul; Sato, Katsufumi; Shaffer, Scott; Soanes, Louise; Takahashi, Akinori; Thompson, David; Thorne, Lesley; Torres, Leigh; Watanuki, Yutaka; Waugh, Susan M.; Weimerskirch, Henri; Whelan, Shannon; Yoda, Ken; Xavier, J. C.; Dias, Maria P.
    Animal tracking has afforded insights into patterns of space use in numerous species and thereby informed areabased conservation planning. A crucial consideration when estimating spatial distributions from tracking data is whether the sample of tracked animals is representative of the wider population. However, it may also be important to track animals in multiple years to capture changes in distribution in response to varying environmental conditions. Using GPS-tracking data from 23 seabird species, we assessed the importance of multi-year sampling for identifying important sites for conservation during the chick-rearing period, when seabirds are most spatially constrained. We found a high degree of spatial overlap among distributions from different years in most species. Multi-year sampling often captured a significantly higher portion of reference distributions (based on all data for a population) than sampling in a single year. However, we estimated that data from a single year would on average miss only 5 % less of the full distribution of a population compared to equal-sized samples collected across three years (min: − 0.3 %, max: 17.7 %, n = 23). Our results suggest a key consideration for identifying important sites from tracking data is whether enough individuals were tracked to provide a representative estimate of the population distribution during the sampling period, rather than that tracking necessarily take place in multiple years. By providing an unprecedented multi-species perspective on annual spatial consistency, this work has relevance for the application of tracking data to informing the conservation of seabirds.