Biology subjects

Jessopp, M.

Publications and source records attributed to Jessopp, M..

4 recordsLinked to original sources

bioRxiv2026

AN UPDATED POPULATION ESTIMATE FOR NORTHERN GANNETS ACROSS THEIR NORTH-EAST ATLANTIC BREEDING RANGE FOLLOWING THE 2022 OUTBREAK OF HIGH PATHOGENICITY AVIAN INFLUENZA

Northern gannets (Morus bassanus) have been regarded as a seabird success story, due to population increases throughout the 20th and 21st century contrasting with global seabird declines. However, in 2022 gannets experienced a severe outbreak of High Pathogenicity Avian Influenza (HPAI) across their global distribution, leading to an urgent need to reassess their population status. This study presents breeding gannet census numbers for 2023/24 from all colonies across the North-East Atlantic metapopulation (Great Britain, Ireland, the Channel Islands, Iceland, Norway, the Faroe Islands, France, Germany, Russia). Gannet numbers decreased by 17% across the North-East Atlantic metapopulation between the 2013/14 and 2023/24 census from 414,598 to 345,854 apparently occupied sites (AOS), a global decrease of at least 13%. The bulk of the reduction in AOS was driven by the largest colonies (>10,000 AOS) each losing tens of thousands of AOS. These figures likely underestimate the impact of the HPAI outbreak worldwide, since most colonies will have increased between the last census in 2013/14 and the 2022 HPAI outbreak, and the Canadian breeding population was last counted pre-HPAI outbreak. Scotland still holds the largest proportion of both the North-East Atlantic metapopulation (59%), and the world population (46%), while Great Britain, Ireland and the Channel Islands together hold 83% of the North-East Atlantic metapopulation and 64% of the world population. This study not only presents an updated population census for gannets in the North-East Atlantic but illustrates the large-scale impacts of a disease outbreak on a seabird species across its global range and highlights the importance of more regular census efforts to better quantify the demographic consequences of such events.

ecology↗

bioRxiv2025

Uncovering hidden behaviours: a GPS-Accelerometry approach to behaviour classification in storm-petrels

Biologging has transformed ecological research, yet studying the at-sea behaviour of small seabirds remains challenging due to trade-offs between device size and data resolution. Miniature GPS devices (<1 g) have been deployed on storm-petrels but their coarse temporal resolution limits behavioural classification, particularly resting. Accelerometers offer detailed behavioural data but lack spatial context, and some species are too small to simultaneously carry both devices. We deployed GPS devices on breeding European storm-petrels, including a subset recently developed with integrated accelerometers. Using accelerometer-informed rest periods, we developed a semi-supervised three-state Hidden Markov Model to classify transiting, foraging, and resting across all GPS tracks, even those without accelerometer data. Detection of resting behaviour by the semi-supervised model improved substantially compared to an unsupervised GPS-only model which only identified 17% of true resting events. Resulting time-activity budgets closely matched accelerometer-only studies, validating behaviour classifications, while also providing spatial context. Foraging peaked in the early hours of the night, whereas resting was most frequent in the afternoon. This is the first application of a combined GPS-accelerometer approach to a small storm-petrel species. Our method improves behavioural classification in small seabirds, providing new insights into the spatial and temporal dynamics of their at-sea behaviour.

ecology↗

bioRxiv2023

High pathogenicity avian influenza (H5N1) in Northern Gannets: Global spread, clinical signs, and demographic consequences

During 2021-22 High Pathogenicity Avian Influenza (HPAI) killed thousands of wild birds across Europe and North America, suggesting a change in infection dynamics and a shift to new hosts, including seabirds. Northern Gannets (Morus bassanus) appeared especially severely impacted, but limited understanding of how the virus spread across the metapopulation, or the demographic consequences of mass mortality limit our understanding of its severity. Accordingly, we collate information on HPAIV outbreaks across most North Atlantic gannet colonies and for the largest colony (Bass Rock, UK), provide impacts on population size, breeding success, adult survival, and preliminary results on serology. Unusually high numbers of dead gannets were first noted in Iceland during April 2022. Outbreaks in May occurred in many Scottish colonies, followed by colonies in Canada, Germany and Norway. By the end of June, outbreaks had occurred in five Canadian colonies and in the Channel Islands. Outbreaks in 12 UK and Ireland colonies appeared to follow a clockwise pattern with the last infected colonies recorded in late August/September. Unusually high mortality was recorded at 40 colonies (75% of global total colonies). Dead birds testing positive for HPAIV H5N1 were associated with 58% of these colonies. At Bass Rock, the number of occupied sites decreased by at least 71%, breeding success declined by [~]66% compared to the long-term UK mean and adult survival between 2021 and 2022 was 42% lower than the preceding 10-year average. Serological investigation detected antibodies specific to H5 in apparently healthy birds indicating that some gannets recover from HPAIV infection. Further, most of these recovered birds had black irises, suggestive of a phenotypic indicator of previous infection. Untangling the impacts of HPAIV infection from other key pressures faced by seabirds is key to establishing effective conservation strategies for threatened seabird populations, HPAIV being a novel and pandemic threat.

ecology↗

bioRxiv2022

The role of wingbeat frequency and amplitude in flight power

Body-mounted accelerometers provide a new prospect for estimating power use in flying birds, as the signal varies with the two major kinematic determinants of aerodynamic power: wingbeat frequency and amplitude. Yet wingbeat frequency is sometimes used as a proxy for power output in isolation. There is therefore a need to understand which kinematic parameter birds vary and whether this is predicted by flight mode (e.g., accelerating, ascending/descending flight), speed or morphology. We investigate this using high-frequency acceleration data from (i) 14 species flying in the wild, (ii) two species flying in controlled conditions in a wind tunnel and (iii) a review of experimental and field studies. While wingbeat frequency and amplitude were positively correlated, R2 values were generally low, supporting the idea that parameters can vary independently. Indeed, birds were more likely to modulate wingbeat amplitude for more energy-demanding flight modes, including climbing and take-off. Nonetheless, the striking variability even within species and flight types, highlights the complexity of describing the kinematic relationships, which appear sensitive to both the biological and physical context. Notwithstanding this acceleration metrics that incorporate both kinematic parameters should be more robust proxies for power than wingbeat frequency alone.

biophysics↗