| Literature DB >> 30086178 |
Lonneke L IJsseldijk1, Abbo van Neer2, Rob Deaville3, Lineke Begeman4, Marco van de Bildt4, Judith M A van den Brand1,4, Andrew Brownlow5, Richard Czeck6, Willy Dabin7, Mariel Ten Doeschate5, Vanessa Herder8, Helena Herr2, Jooske IJzer1, Thierry Jauniaux9, Lasse Fast Jensen10, Paul D Jepson3, Wendy Karen Jo11, Jan Lakemeyer2, Kristina Lehnert2, Mardik F Leopold12, Albert Osterhaus11, Matthew W Perkins3, Uwe Piatkowski13, Ellen Prenger-Berninghoff14, Ralf Pund15, Peter Wohlsein8, Andrea Gröne1, Ursula Siebert2.
Abstract
Between the 8th January and the 25th February 2016, the largest sperm whale Physeter macrocephalus mortality event ever recorded in the North Sea occurred with 30 sperm whales stranding in five countries within six weeks. All sperm whales were immature males. Groups were stratified by size, with the smaller animals stranding in the Netherlands, and the largest in England. The majority (n = 27) of the stranded animals were necropsied and/or sampled, allowing for an international and comprehensive investigation into this mortality event. The animals were in fair to good nutritional condition and, aside from the pathologies caused by stranding, did not exhibit significant evidence of disease or trauma. Infectious agents were found, including various parasite species, several bacterial and fungal pathogens and a novel alphaherpesvirus. In nine of the sperm whales a variety of marine litter was found. However, none of these findings were considered to have been the primary cause of the stranding event. Potential anthropogenic and environmental factors that may have caused the sperm whales to enter the North Sea were assessed. Once sperm whales enter the North Sea and head south, the water becomes progressively shallower (<40 m), making this region a global hotspot for sperm whale strandings. We conclude that the reasons for sperm whales to enter the southern North Sea are the result of complex interactions of extrinsic environmental factors. As such, these large mortality events seldom have a single ultimate cause and it is only through multidisciplinary, collaborative approaches that potentially multifactorial large-scale stranding events can be effectively investigated.Entities:
Mesh:
Year: 2018 PMID: 30086178 PMCID: PMC6080757 DOI: 10.1371/journal.pone.0201221
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Numbers and locations of stranded sperm whales across the southern North Sea region (January-May 2016).
The asterisks indicate stranding locations, with the number of the stranded sperm whales referring to the strandings data presented in S1 Table. The colour palette represents the total depth of the area, with all dark red areas being <5 m (Bathymetry layer: [61]).
Main findings stranded sperm whales.
The table included case numbers, country (DE = Germany, DK = Denmark, FR = France, NL = the Netherlands, UK = United Kingdom, here England), stranding dates (all during 2016), stranding locations, decomposition condition codes (DCC) of the cases at the time of investigation, the date of the post mortem investigation, total length (TL, in m), age (in years), any significant pre-existing disease, evidence of trauma, results of gross ear examination, visual assessment of evidence of gas emboli, detection of Brucella spp. and Morbillivirus infections. NE = Not Examined. NAD = No Abnormalities Detected. U = Unable to examine due to decomposition condition.
| No. | Country | Date of stranding | Lat | Lon | Live stranded observed | DCC | Date of Postmortem | TL | Age | Evidence of trauma | Prey remains in stomach | Significant pre-existing disease | Ears | Gas emboli |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | DE | 8–1 | 53,780578 | 7,975660 | No | 5 | 16-1-2016 | 11.8 | N/E | Negative | Yes | Negative | NAD | U |
| 2 | DE | 8–1 | 53,780578 | 7,975660 | No | 4 | 16-1-2016 | 13.10 | 11 | Negative | Yes | Negative | NAD | U |
| 3 | DE | 12–1 | 53,741194 | 8,511139 | No | NE | NE | NE | 13 | NE | NE | NE | NE | NE |
| 4 | DE | 12–1 | 54,214610 | 7,913118 | No | 4 | 14-1-2016 | 12.0 | 13 | Negative | Yes | Negative | NAD | U |
| 5 | DE | 12–1 | 54,214610 | 7,913118 | No | 4 | 14-1-2016 | 12.3 | 13 | Negative | Yes | Negative | NE | U |
| 6 | NL | 12–1 | 53,184111 | 4,847167 | Yes | 2 | 13-1-2016 | 9.6 | 10 | Negative | Yes | Negative | NE | NAD |
| 7 | NL | 12–1 | 53,184111 | 4,847167 | Yes | 3 | 14-1-2016 | 11.1 | 16 | Negative | Yes | Negative | NE | NAD |
| 8 | NL | 12–1 | 53,184111 | 4,847167 | Yes | 3 | 14-1-2016 | 10.1 | 12 | Negative | Yes | Negative | NE | NAD |
| 9 | NL | 12–1 | 53,184111 | 4,847167 | Yes | 1 | 13-1-2016 | 10.25 | 10 | Negative | Yes | Negative | NE | NAD |
| 10 | NL | 12–1 | 53,184111 | 4,847167 | Yes | 3 | 14-1-2016 | 9.7 | 10 | Negative | Yes | Negative | NE | NAD |
| 11 | DE | 13–1 | 54,085179 | 8,588861 | No | 4 | 16-1-2016 | 10.7 | 12 | Negative | Yes | Negative | NAD | U |
| 12 | NL | 14–1 | 52,994689 | 4,725887 | No | 4 | External samples | 11.5 | NE | NE | NE | NE | NE | NE |
| 13 | UK | 22–1 | 52,947346 | 0,488690 | Yes | 2 | External samples | 13.8 | NE | Negative | NE | NE | NE | NE |
| 14 | UK | 24–1 | 53,094011 | 0,337298 | No | 3 to 4 | 25-1-2016 | 14.6 | NE | Negative | NE | Negative | NE | U |
| 15 | UK | 24–1 | 53,094011 | 0,337298 | No | 3 to 4 | External samples | 14.7 | NE | Negative | No | NE | NE | NE |
| 16 | UK | 24–1 | 53,139982 | 0,349633 | No | 3 to 4 | 25-1-2016 | 13.5 | NE | Negative | Yes | Negative | NE | U |
| 17 | UK | 25–1 | 53,048060 | 0,263223 | No | NE | NE | NA | NE | Negative | NE | Negative | NE | NE |
| 18 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 7-2-2016 | 10.8 | 12 | Negative | Yes | Negative | NAD | U |
| 19 | DE | 31–1 | 53,942594 | 8,900214 | Yes | 2 | External samples | 11.7 | 11 | Negative | NE | NE | NAD | NE |
| 20 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 6-2-2016 | 11.2 | 10 | Negative | Yes | Negative | NAD | U |
| 21 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 7-2-2016 | 11.0 | 12 | Negative | Yes | Negative | NAD | U |
| 22 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 4-2-2016 | 10.2 | 10 | Negative | Yes | Negative | NAD | U |
| 23 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 4-2-2016 | 11.3 | 15 | Negative | Yes | Negative | NAD | U |
| 24 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 5-2-2016 | 11.4 | 11 | Negative | Yes | Negative | NAD | U |
| 25 | DE | 31–1 | 53,942594 | 8,900214 | No | 4 | 7-2-2016 | 10.5 | 12 | Negative | Yes | Negative | NAD | U |
| 26 | FR | 2–2 | 50,986444 | 1,959278 | No | 3 to 4 | 3-2-2016 | 13.85 | NE | Negative | Yes | Negative | NE | U |
| 27 | DE | 3–2 | 54,168224 | 8,733862 | No | 4 | 6-2-2016 | 12.0 | 11 | Negative | Yes | Negative | NAD | U |
| 28 | DE | 3–2 | 54,133607 | 8,654462 | No | 4 | 6-2-2016 | 11.4 | 15 | Negative | Yes | Negative | MAD | U |
| 29 | UK | 4–2 | 52,959184 | 0,502995 | Yes | 1 | 5-2-2016 | 13.6 | N/E | Negative | Yes | Negative | NE | NAD |
| 30 | DK | 25–2 | 55,562139 | 8,072900 | No | NE | NE | NE | NE | NE | NE | NE | NE | NE |
Sea surface temperature (SST) anomaly based on the daily average between 1981 and 2011 in °C and direction in degree angle and speed in m/s of ocean current on the position 61.28° N, 1.85° E retrieved from [https://earth.nullschool.net/] on the 22.06.2017; based on data from Ocean Surface Current Analyses Real-time (OSCAR) [http://www.esr.org/oscar_index.html] for ocean currents and for SST on data from NOAA (Marine Modelling and Analysis Branch of the Environmental Modelling Center within the National Centers for Environmental Prediction of the National Weather Service) [http://polar.ncep.noaa.gov/].
| Date | Sea surface temperature anomaly | Origin of direction of ocean current and speed |
|---|---|---|
| 30-11-2015 | +0.3°C | 240° at 0.03 m/s |
| 05-12-2015 | +0.5°C | 280° at 0.14 m/s |
| 10-12-2015 | +0.4°C | 285° at 0.06 m/s |
| 15-12-2015 | +0.2°C | 290° at 0.16 m/s |
| 20-12-2015 | +0.8°C | 285° at 0.11 m/s |
| 25-12-2015 | +0.3°C | 260° at 0.15 m/s |
| 30-12-2015 | +0.0°C | 280° at 0.18 m/s |
| 05-01-2016 | +0.5°C | 280° at 0.18 m/s |
Fig 2Annual variation in sperm whale strandings in the North Sea.
Grey bars indicate the total number of stranded sperm whales per year; points and connecting lines show the total number of individual stranding events per year.
Fig 3Seasonal pattern of sperm whale stranding events in the southern North Sea (1750–2016).
Numbers prior to 1996 derived from Smeenk [5].