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36 results for “Phocoena phocoena”
Fig. 3 in Differences In Skull Size Of Harbour Porpoises, Phocoena Phocoena (Cetacea), In The Sea Of Azov And The Black Sea: Evidence For Different Morphotypes And Populations
Fig. 3. The skull measurements of the harbour porpoises from the Sea of Azov and the Black Sea: 1 — zygomatic width vs rostrum width at the mid-point; 2 — parietal width vs rostrum width at the mid-point.
Fig. 4 in Differences In Skull Size Of Harbour Porpoises, Phocoena Phocoena (Cetacea), In The Sea Of Azov And The Black Sea: Evidence For Different Morphotypes And Populations
Fig. 4. Черепа морских свиней, Phocoena phocoena relicta, из Азовского и Чёрного морей, вид сверху: 1 — Азовское море, самец; 2 — Азовское море, самка; 3 — Чёрное море, самец; 4 — Чёрное море, самка. Фото М. П. Чоповди.
Fig. 2 in Differences In Skull Size Of Harbour Porpoises, Phocoena Phocoena (Cetacea), In The Sea Of Azov And The Black Sea: Evidence For Different Morphotypes And Populations
Fig. 2. Skull proportions of the harbour porpoises from the Sea of Azov and the Black Sea (mean ± standard deviation is presented as the box, upper and lower limits as the lines): 1 — zygomatic width as the CBL percentage; 2 — rostrum width at the mid-point as the CBL percentage.
Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring
<p>Knowing the abundance of a population is a crucial component to assess its conservation status and develop effective conservation plans. For most cetaceans, abundance estimation is difficult given their cryptic and mobile nature, especially when the population is small and has a transnational distribution. In the Baltic Sea, the number of harbour porpoises (<i>Phocoena phocoena</i>) has collapsed since the mid-20<sup>th</sup> century and the Baltic Proper harbour porpoise is listed as Critically Endangered by the IUCN and HELCOM; however, its abundance remains unknown. Here, one of the largest ever passive acoustic monitoring studies was carried out by eight Baltic Sea nations to estimate the abundance of the Baltic Proper harbour porpoise for the first time. By logging porpoise echolocation signals at 298 stations during May 2011-April 2013, calibrating the loggers' spatial detection performance at sea, and measuring the click rate of tagged individuals, we estimated an abundance of 71-1,105 individuals (95% CI, point estimate 491) during May-October within the population's proposed management border. The small abundance estimate strongly supports that the Baltic Proper harbour porpoise is facing an extremely high risk of extinction, and highlights the need for immediate and efficient conservation actions through international cooperation. It also provides a starting point in monitoring the trend of the population abundance to evaluate the effectiveness of management measures and determine its interactions with the larger neighbouring Belt Sea population. Further, we offer evidence that design-based passive acoustic monitoring can generate reliable estimates of the abundance of rare and cryptic animal populations across large spatial scales.</p>
High rates of vessel noise disrupt foraging in wild harbour porpoises (Phocoena phocoena) - scripts and example dataset
<p>This upload contains Matlab scripts used to compute third-octave levels from audio recorded with DTAG-3 tags on free-ranging harbour porpoises. It also contains examples of results, outputs of such scripts (hp12_272a_noisedata.mat and hp12_293a_noisedata.mat), for two of the seven animals in the study, as well as sensor data for all the animals (e.g. hp12_272a_prh625.nc). The metadata for all the uploaded data are stored in netCDF files (.nc) and the overview plots show noise, vessel presence and foraging data for all study animals. Finally, the upload contains scripts that use the results to perform a series of permutation tests to compare foraging buzz count and total buzz duration in minutes with high- and low-level noise.</p>
Figure 3 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 3. Percent of porpoise-positive minutes (PPM) that contained at least five click trains with minimum interclick intervals (MICIs) of <10 ms, thus classified as a buzz-positive minute (BPM). The star symbols and brackets represent post hoc Tukey tests that gave significant results at the P <0.05 level: Morning ťs. Day and Day ťs. Night for the offshore site.
Figure 4 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 4. Distribution of harbor porpoise acoustic activity at the reef site measured as (a) porpoise positive minute (PPM) and (b) buzz positive minute (BPM) as a function of the tidal cycle. The length of the bars represents the binned presence of PPM or BPM during a given tidal phase. The black arrows represent the peak in mean PPMs and BPMs, respectively.
Figure 2 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 2. Percent of daily monitored minutes in which harbor porpoise were detected for the reef and offshore sites throughout the study period. The gray shaded areas represent data gaps between deployments.
Figure 1 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 1. Bathymetric overview of study area in coastal Oregon (see inset) with acoustic instrumentation deployment sites displayed by the black dots.
Fig. 1 in Heavy metals in bones from Harbour Porpoises Phocoena phocoena from the Western Black Sea Coast
Fig. 1. Map of the Western Black Sea showing the sampling sites along the Bulgarian Black Sea Coast.
Fig. 2 in Heavy metals in bones from Harbour Porpoises Phocoena phocoena from the Western Black Sea Coast
Fig. 2. (a) Correlation matrix between heavy metals and age in bone tissue of harbour porpoises (Phocoena phocoena) beached at Black Sea, Bulgaria (significant correlations highlighted in bold). (b) Zink (Zn) concentration in the bones of common harbour porpoises (mg/kg) as a function of age (years).
Fig. 1 in Anisakid nematode species identification in harbour porpoises (Phocoena phocoena) from the North Sea, Baltic Sea and North Atlantic using RFLP analysis
Fig. 1. RFLP profiles obtained by digestion of ITS1-5.8S-ITS2 region with the restriction enzymes HinfI, RsaI and HaeIII. a)-i) lane 1–5: Anisakid nematodes from harbour porpoises. j)-l) lane 1–3: A. simplex s. s. from North Sea, Baltic and Norwegian harbour porpoises; lane 4–6: P. decipiens s. s. from North Sea and Baltic harbour and grey seals; lane 7–9: C. osculatum s. s. from North Sea and Baltic harbour and grey seals. L: 100-bp ladder.
Fig. 1 in Lungworm infections in harbour porpoises (Phocoena phocoena) in the German Wadden Sea between 2006 and 2018, and serodiagnostic tests
Fig. 1. Annual comparison of lungworm prevalence in harbour porpoises stranded along the North Sea coast of the German federal state SchleswigHolstein between 2006 and 2018. The median of total deaths (19 ± 9.23, black line), uninfected cases (10 ± 6.83, dotted line) and positive cases (8 ± 5.04, dashed line) are additionally depicted.
Fig. 2 in Lungworm infections in harbour porpoises (Phocoena phocoena) in the German Wadden Sea between 2006 and 2018, and serodiagnostic tests
Fig. 2. MSP-ELISA results of the 245 samples from harbour porpoises assignable to a specific infection status. Green = lungworm negative (born in captivity); light blue = presumed lungworm negative sera (negative direct detection); dark blue = presumed lungworm negative whole blood (negative direct detection); light red = lungworm positive sera (direct lungworm detection); dark red = lungworm positive whole blood (direct lungworm detection). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Lungworm infections in harbour porpoises (Phocoena phocoena) in the German Wadden Sea between 2006 and 2018, and serodiagnostic tests
Fig. 3. Immunoblot pattern of (presumed) lungworm negative (lane numbers indicated in blue: 1–5 = animals born in human care; 2–5 sampled over three consecutive years; 6–8 = no infection detected) as well as lungworm positive (lane numbers indicated in red: lane 9 = moderate infection; lane 10 = severe infection; lanes 11–16 = direct lungworm detection) harbour porpoise sera. Lane 17 = D. viviparus positive control serum, M = Spectra™ Multicolour Broad Range Protein Ladder (Thermo Fisher Scientific GmbH, Dreieich, Germany). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring
Open the record for dataset details and reuse information.
Comparing distribution of harbour porpoises (Phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
<p>Data used for publication in Plos One. Two excel files. The satellite_filtered_data is the filtered satellite positions used for MaxEnt modelling in R. The CPOD_data_PPH is the raw C-POD data expressed here as porpoises positive hours (PPH) and can easily be converted to porpoise positive days (PPD).</p>
Fig. 1 in A global checklist of the parasites of the harbor porpoise Phocoena phocoena, a critically-endangered species, including new findings from the Baltic Sea
Fig. 1. The harbor porpoise parasites load (number of species/number of individuals).
Table 1 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.
<p><i>Table 1.</i> Details of digital acoustic monitoring (DMON) deployment sites and recording times over the duration of the study.</p><table><tbody><tr><th>Site</th><th>Coordinates</th><th>Deployment date</th><th>Recovery date</th><th>Deployment duration (time)</th><th>Recorded minutes</th></tr></tbody><tbody><tr><th>Reef Offshore</th><td>44 Ǫ 35.140 N, 124 Ǫ 07.120 W 44 Ǫ 35.121 N, 124 Ǫ 07.000 W 44 Ǫ 34.985 N, 124 Ǫ 07.117 W 44 Ǫ 35.247 N, 124 Ǫ 06.815 W 44 Ǫ 35.221 N, 124 Ǫ 06.859 W 44 Ǫ 34.650 N, 124 Ǫ 13.218 W 44 Ǫ 34.857 N, 124 Ǫ 13.419 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W</td><td>16 May 2014 12 Jun 2014 26 Jun 2014 29 Jul 2014 16 Sep 2014 12 Jun 2014 26 Jun 2014 29 Jul 2014 16 Sep 2014 20 Sep 2014</td><td>23 May 2014 20 Jun 2014 7 Jul 2014 8 Aug 2014 18 Sep 2014 20 Jun 2014 7 Jul 2014 8 Aug 2014 29 Sep 2014 13 Oct 2014</td><td>6 d 20 h 00 min 7 d 21 h 30 min 10 d 14 h 40 min 9 d 21 h 40 min 2 d 13 h 20 min 7 d 21 h 40 min 10 d 23 h 10 min 10 d 0 h 30 min 12 d 17 h 40 min 12 d 12 h 00 min</td><td>985 1,138 1,529 1,427 441 1,138 1,580 1,444 1,835 1,801</td></tr></tbody></table>
Table 4 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.
<p><i>Table 4.</i> Predictor environmental variables in generalized additive models (GAM) of harbor porpoise echolocation activity and their significance, with deviance explained of entire model.</p><table><tbody><tr><th></th><th>Reef</th><th>Reef</th><th>Offshore</th><th>Offshore</th></tr></tbody><tbody><tr><th>Predictor</th><td>PPM</td><td>BPM</td><td>PPM</td><td>BPM</td></tr><tr><th>Julian day</th><td><0.001c</td><td><0.001c</td><td><0.001c</td><td><0.001c</td></tr><tr><th>Diel phase:</th><td></td><td></td><td></td><td></td></tr><tr><th>Morning</th><td>—</td><td>—</td><td>—</td><td>—</td></tr><tr><th>Day Evening Night</th><td>— — 0.01a</td><td>— — —</td><td>— 0.003b 0.04a</td><td>— <0.001c</td></tr><tr><th>Tidal phase</th><td>0.05</td><td>—</td><td>0.05</td><td>—</td></tr><tr><th>Julian day <i>×</i> Diel</th><td></td><td></td><td></td><td></td></tr><tr><th>phase: Morning Day Evening Night Julian day <i>×</i> Tidal</th><td>— — <0.001c <0.001c 0.02a</td><td>— 0.04a 0.001b <0.001c <0.001c</td><td>— <0.001c <0.001c <0.001c —</td><td><0.001c <0.001c — —</td></tr><tr><th>phase</th><td></td><td></td><td></td><td></td></tr><tr><th>Diel phase <i>×</i> Tidal</th><td>—</td><td>—</td><td>—</td><td>—</td></tr><tr><th>phase</th><td></td><td></td><td></td><td></td></tr><tr><th>Deviance explained</th><td>6.9%</td><td>13.7%</td><td>11.5%</td><td>13.2%</td></tr></tbody></table><p><sup>a</sup> Significant at the 0.05 probability level.</p><p><sup>b</sup> Significant at the 0.01 probability level.</p><p><sup>c</sup> Significant at the 0.001 probability level.</p>
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