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Monitoring and assessment of the proportion of oiled Common Guillemots from beached bird surveys in The Netherlands: update winter 2014/15

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Abstract and Figures

This is the annual update for OSPAR of the beached bird survey (BBS) results in The Netherlands (winter 2014/15). The Dutch BBS provides data for OSPAR area’s 8, 9 and 10, but data from Belgian and German colleagues will have to be merged to arrive at the final values for these areas. For the Dutch North Sea region, significant declines in oil rates were reported over a long study period (1977/78-2013/14) as well as (clearly accelerating) over the last 10-15 years. In winter 2014/15, densities of pelagic seabirds washing ashore were again very low. Some oil incidents (mystery spills, no source known, deduced from stranded seabirds) were recorded in Zeeland, affecting mostly Common Guillemots, but numbers stranded remained low. The (Dutch) national oil rate of Common Guillemots in winter 2014/15 amounted to 32.4% (n= 37), with the five-year running mean over 20010/11-2014/15 (mean ± SD) at 30.2 ± 11.6%. For five other selected offshore species, not a single oiled carcass was reported, but the sample size was too small for a meaningful assessment of the annual oil rate. The results obtained over the last decade suggest an continuation of low oil rates in Common Guillemots in Dutch waters. Following the significant trends in the most recent data set (1999/00-present), a projection for 2020 would arrive at c. 19% (logit -0.64).
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Monitoring and assessment of the
Monitoring and assessment of the
proportion of oiled Common
proportion of oiled Common
Guillemots from beached bird surveys
Guillemots from beached bird surveys
in The Netherlands: update winter
in The Netherlands: update winter
2014/15
2014/15
C.J. Camphuysen
Texel, december 2015
NIOZ Koninklijk Nederlands Instituut voor Onderzoek der Zee
Front cover:
Selection of photos of stranded Common Guillemots from www.waarneming.nl for the period 1 Nov 2014-30 April 2015. None of the guillemots
depicted are oiled.
Large photo stranded Common Guillemot courtesy Jan Andries van Franeker
Commissioners contact details:
Ministry of Infrastructure and the Environment (I&M), Postbus 5023 | 2600 GA | Delft, The
Netherlands.
Contact: Mervyn Roos, RWS-CIV mervyn.roos@rws.nl
RWS Centrale Informatievoorziening BM 15.19
Author's contact details:
Royal Netherlands Institute for Sea Research and the Dutch Seabird Group, P.O. Box 59 | 1790
AB | Den Burg, Texel, The Netherlands.
Contact: Dr Kees (C.J.) Camphuysen, senior researcher, E-mail kees.camphuysen@nioz.nl
+31 222 369488
Citation:
Camphuysen C.J. (2015). Monitoring and assessment of the proportion of oiled Common
Guillemots from beached bird surveys in The Netherlands: update winter 2014/15. NIOZ
Report 2015-04, RWS Centrale Informatievoorziening BM 15.19, Nov 2015. Royal
Netherlands Institute for Sea Research, Texel.
Commissioners contact details:
Ministry of Infrastructure and the Environment (I&M), Dir. Inwinning en
gegevensanalyse, Afd. Datamanagement Center; Centrale Informatievoor-
ziening Rijkswaterstaat; Postbus 5023 | 2600 GA | Delft, The Netherlands.
Contact: Mervyn Roos, RWS-CIV mervyn.roos@rws.nl
RWS Centrale Informatievoorziening BM 15.19
Authors contact details:
Royal Netherlands Institute for Sea Research and the Dutch Seabird
Group, P.O. Box 59 | 1790 AB | Den Burg, Texel, The Netherlands.
Contact: Dr Kees (C.J.) Camphuysen, senior researcher, E-mail kees.
camphuysen@nioz.nl
+31 222 369488
Citation:
Camphuysen C.J. (2015). Monitoring and assessment of the proportion of
oiled Common Guillemots from beached bird surveys in The Netherlands:
update winter 2014/15. NIOZ Report 2015-04, RWS Centrale Informa-
tievoorziening BM 15.19, Nov 2015. Royal Netherlands Institute for Sea
Research, Texel.
2
Monitoring and assessment of the proportion of oiled Common
Guillemots from beached bird surveys in The Netherlands: annual
update winter 2014/15
Summary
This is the annual update for OSPAR of the beached bird survey (BBS) results in The Netherlands (winter
2014/15). The Dutch BBS provides data for OSPAR area’s 8, 9 and 10, but data from Belgian and German
colleagues will have to be merged to arrive at the final values for these areas. For the Dutch North Sea
region, significant declines in oil rates were reported over a long study period (1977/78-2013/14) as well
as (clearly accelerating) over the last 10-15 years. In winter 2014/15, densities of pelagic seabirds washing
ashore were again very low. Some oil incidents (mystery spills, no source known, deduced from stranded
seabirds) were recorded in Zeeland, affecting mostly Common Guillemots, but numbers stranded remained
low.
The (Dutch) national oil rate of Common Guillemots in winter 2014/15 amounted to 32.4% (n=
37), with the five-year running mean over 20010/11-2014/15 (mean ± SD) at 30.2 ± 11.6%. For five other
selected offshore species, not a single oiled carcass was reported, but the sample size was too small for a
meaningful assessment of the annual oil rate. The results obtained over the last decade suggest an
continuation of low oil rates in Common Guillemots in Dutch waters. Following the significant trends in
the most recent data set (1999/00-present), a projection for 2020 would arrive at c. 19% (logit -0.64).
3
Monitoring en vaststelling van het percentage met olie besmeurde
Zeekoeten door middel van systematische strandtellingen in
Nederland; jaarlijkse rapportage, winter 2014/15
Samenvatting
Dit is de jaarlijkse weergave voor OSPAR van de resultaten van systematische strandtellingen langs de
Nederlandse kust, met een verslag over het seizoen 2014/15. Middels deze tellingen verzorgt Nederland
haar bijdragen voor de OSPAR deelgebieden 8, 9, en 10. Om een compleet beeld te krijgen voor deze
deelgebieden zullen Belgische en Duitse gegevens moeten worden toegevoegd en gecombineerd. In deze
rapportage worden alleen de Nederlandse gegevens besproken. Voor de Nederlandse Noordzeekust kon de
lange termijn afname in oliebevuilingspercentages (1977/78-2013/14) bij de Zeekoeten worden bevestigd.
Over de laatste jaren versnelt deze afname.
In de winter van 2014/15 spoelden opnieuw erg weinig vogels aan. Het (Nederlandse) nationale
oliebevuilingspercentage van de Zeekoet in de winter van 2014/15, gemeten langs het strand, bedroeg
32.4% (n= 37), hetgeen vrijwel gelijk is aan het vijfjaarlijks lopend gemiddelde over 20010/11-2014/15
(gemiddeld ± SD 30.2 ± 11.6%). Het aantal aangespoelde Zeekoeten was lager dan ooit en ook hier is
sprake van een lange-termijn trend. Bij geen van de andere soorten, inclusief de andere geselecteerde
zeevogelsoorten werden, deze winter met olie besmeurde individuen aangetroffen. Voor de meeste soorten
was de steekproef (door het geringe aantal strandingen) te klein om een betekenisvol percentage te
berekenen, maar de indruk van een geringe mate van chronische olievervuiling werd hiermee krachtig
bevestigd.
De oliebevuilingspercentages lijken de afgelopen Jaren (vooral de afgelopen 10 jaren) steeds
sneller af te nemen. Op basis van de lineaire regressie berekend over de logit-oliebevuilingspercentages in
deze eeuw (1999/00-2014/15) waarover een significante dalende trend werd gevonden, zou het
bevuilingspercentage in 2020 uitkomen op ±19% (logit -0.64).
4
Introduction
The effectiveness of measures against (chronic) oil pollution, and of any temporal and spatial
trends existing and developing in past and current levels of chronic oil pollution can be effectively
monitored through beached bird surveys: counts of stranded seabirds on North Sea coasts, coupled
with the assessment of oil rates (proportion of birds oiled; Furness & Camphuysen 1997,
Camphuysen & Heubeck 2001). Species-specific oil rates reflect the risk for various species of
marine birds to become oiled at sea, with high oil rates being more characteristic for seabirds that
are particularly common in areas with frequent oil spills and that have a behaviour that puts them
at risk (a swimming and diving life-style); lower oil rates were found in more aerial seabirds,
especially those wintering away from the busiest shipping lanes (Furness & Camphuysen 1997,
Camphuysen 2010). Common Guillemots, abundant and widespread wing-propelled pursuit
seabirds in NW European waters, are particularly useful in this context. By monitoring the
occurrence of oil on carcasses of guillemots washing ashore around Europe, spatial and temporal
trends in chronic oil pollution can be derived over large geographical scales and over long time-
series.
The information need for the monitoring and assessment of oil fouling of seabirds, in
particular the Common Guilemot, was first established in the OSPAR organization in the form of
an OSPAR Ecological Quality Objective (EcoQO). The Marine Strategy Framework Directive
demands in the Commission Decision of 2010, Chapter 8.2, Effects of contaminants, an indicator
for oil pollution (EU 2010). In the legal Dutch Kader Richtlijn Marien document, page 78
Vervuilende stoffen (Anon, 2012)., the Oiled Guillemot EcoQO indicator is explicitly
implemented. In the EcoQOs for the North Sea, “the Proportion of oiled Common Guillemots
among those found dead or dying on beaches” was subsequently listed Under Issue 4 (Seabirds),
EcoQO element (f). The “Oiled Guillemot EcoQO”, as agreed by the 5th North Sea Conference,
was defined as: “The proportion of such birds should be 10% or less of the total found dead or
dying, in all areas of the North Sea” (Anon. 2002), later refined to target mean proportions of 20%
in 2020 and 10% in 2030 over periods of at least 5 years (Anon. 2012). The present document is
the annual update for The Netherlands for winter 2014/15. All data collected since winter 1997/78
are incorporated in this report. Oil-rates (% oiled) of Common Guillemots are provided for the
Dutch North Sea coast as a whole (monitoring an area of 299 km in length), and for the Dutch
contributions to OSPAR areas 8 (238 km), 9 (61 km), and 10 (299 km; see Methods). Raw data
are provided in Appendices and an analysis of recent trends is provided in the Results section of
this report. While the emphasis of this study is on Common Guillemots, similar data are collected
for all stranded birds and details are provided on five other species in this report: two further
offshore seabirds (the Black-legged Kittiwake Rissa tridactyla and the Razorbill Alca torda) and
three inshore or more coastal species (Herring Gull Larus argentatus, Common Eider Somateria
mollissima, and Common Scoter Melanitta nigra). All six species are illustrated below:
5
Selected offshore seabirds
Common Guillemot
Uria aalge
Razorbill
Alca torda
Black-legged Kittiwake
Rissa tridactyla
Selected nearshore or coastal seabirds
Common Eider
Somateria mollissima
Common Scoter
Melanitta nigra
Herring Gull
Larus argentatus
Methods
With the “Oiled Guillemot EcoQO”, the significance of chronic oil pollution in particular sea areas
is assessed by means of beached bird surveys, in which stranded dead or dying seabirds (notably
Common Guillemots) are checked for the presence or absence of mineral oil in their feathers
(Camphuysen & Heubeck 2001). Surveys are conducted in winter (Nov-Apr), when the effects of
chronic oil pollution are most pronounced and when (illegal) discharges at sea under cover of
darkness (i.e. at night) are frequent (Vollaard 2013). Stranded seabirds are identified, aged if
possible, and the carcass is examined for the presence of oil in the feathers. Other evident causes
of death are recorded simultaneously and in case of mass strandings, a special investigation is
organised in order to try and explain the event. The “Oiled Guillemot EcoQO” uses ratios (the
proportion of birds oiled from the total number of birds found) rather than absolute numbers of
birds washing ashore.
In order to evaluate trends in oil rates, as described in earlier proposals (Camphuysen 2002,
2004, OSPAR 2004, Camphuysen 2005ab, OSPAR 2005), all incomplete carcasses were excluded
from the analysis of beached bird survey results (the presence or absence of oil in the feathers
cannot reliably be studied in incomplete remains of birds). The remainder (nTotal) was split in
fractions of unoiled (nUnoiled) and oiled (nOiled) individuals. Only substances that were visually
6
classified as mineral oil were considered here. An acceptable oil rate (nOiled/nTotal*100) for
Common Guillemots is based on at least 25 complete carcasses of stranded seabirds per annum
per area (i.e. quality code 01, see Appendices) and is otherwise considered ‘unreliable’ (quality
code 00). Annual winter values (% oiled) are provided in bar graphs, with a running (arithmetic)
mean calculated over five-year periods (i.e. the mean of five annual values preceding and including
a particular value), superimposed with a line graph to illustrate the most recent trends. Lower
quality assessments (00, percentages based on less than 25 complete carcasses) are indicated with
a lighter shading. To facilitate a trend analysis by means of linear regression, the oil-rates were
logit-transformed in order to obtain normalised data distributions, following recommendations in
Camphuysen & Van der Meer 1996 (=LOG((x/100)/(1-(x/100))); see also Camphuysen 1995,
1997). For this part of the analysis, lower quality data (quality code 00) were excluded.
The Dutch beached bird surveys contribute to three OSPAR areas, but additional data are
required from neighboring countries in each case:
OSPAR 8 Eastern Southern Bight mainland coast Belgian/French border to Texel (B, NL)
OSPAR 9 Southern German Bight North Sea coast Frisian Islands Texel to Elbe (NL, FRG)
OSPAR 10 Western Wadden Sea mainland and Wadden Sea coast Frisian Islands Texel to Elbe (NL, FRG)
The NZG/NSO beached bird survey monitoring of these areas consists of 93 discrete sections of
coast over 598 km (OSPAR area 8, 38 sections, 238km; area 9, 11 sections, 61km; and area 10, 44
sections, 299 km). Half that area consists of coastline bordering the North Sea, the other half
borders the western Wadden Sea (i.e. more sheltered waters with particularly intense controls of
the occurrence of marine pollution). A “national value” of oil rates is provided by lumping all
censuses conducted along the North Sea coast (i.e. a combination of the Dutch contributions to
OSPAR areas 8 and 9).
Observer effort
Since winter 1977/1978, beached bird surveys have been organised by the Dutch Seabird group.
Effort peaked in the 1980s, as a result of the enormous numbers of oiled seabirds washing ashore
and an army of environmentally concerned volunteers searching beaches. Over the last 10 years,
(arithmetic) mean (± SD) observer effort amounted to 897 ± 309 km per winter. In recent years,
effort is compromised as a result of extremely low numbers of birds washing ashore (Appendix
1). In this season, no less than 37 counts (26%, n= 145) were received during which not a single
corpse of a bird was found. It is difficult to activate volunteers for beached bird surveys if the
rewards (finds) are low. Therefore, data were added from www.waarneming.nl, to compensate for
the low observer effort, in order to obtain a larger data set for analysis, and to achieve a wider
coverage over the entire Dutch coast. The people reporting their finds in waarneming.nl were all
acknowledged and the presence of oil was judged from published photographic material. For
7
Common Guillemots, however, the obtained data from the systematic surveys over the Dutch
North Sea shoreline as a whole were in fact sufficient to calculate reliable oil rates, but the
waarneming.nl material certainly enhanced both area coverage and the sample size.
I am very grateful to the following observers that have provided information on stranded
seabirds in 2014/15: Arnold Gronert, André de Baerdemaeker, Annelies Vriens, Bram Kroese,
Chris Rosmalen, Kees Camphuysen, Carl Zuhorn, David Janssens, Dick Veenendaal, Dirk Kuiken,
Dennis de Heer, Dennis Maas, Erik Holscher, Evelien Dekker, Floor Arts, Frank London, Gerrit
Gerritsen, Hans Bouma, Hans-Werner Neumann, Harmke de Hoogh, Hugo Wieleman, J. Slurp,
Job ten Horn, J. van der Zwaag, Jan Andries van Franeker, Jacob de Vries, Jacques Groen, Joeri
Lamers, Joost de Jong, Leon Kelder, Mardik Leopold, v/h Natuurorganisatie De Windbreker,
Nelleke Groen, Nick Agterberg, Niels Godijn, Patrick Agterberg, Paul van Eik, Ruud Costers,
Rinus Dillerop, Sander Lillipaly, Sanne van den Berg-Blok, Susanne van Donk, Sven Prins, Teun
de Boer, Theo Kiewiet, Vincent Stork, Willem-Pier Vellinga, Wim van Boekel en
www.waarneming.nl
Results
Birds found dead – Overall densities in winter 2014/15 were the lowest on record over the past 4
decades (Fig. 1). The severe storms that occurred washed away material rather than that new
corpses washed ashore and the extremely mild winter (KNMI files) made even rather weak
waterbirds and seabirds survive.
Fig. 1. Long-term trends in densities of sea- and waterbirds (n per km of beach surveyed on a ln scale; all species
combined on all surveyed North Sea shorelines) washing ashore in The Netherlands ranged from a maximum of 10.7
birds km
-1
(2.4 on the ln-scale) in the severe of winter 1978/79 to a minimum of 0.48 birds km
-1
(-0.7) in winter 2014/15
an all-time low number in deposition rates.
y=‐0.0025x
2
+0.0618x+1.203
=0.5253
1.0
0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
LndensitiesofstrandedbirdsinTheNetherlands
8
In all 328 carcasses representing 47 species of birds and four species of marine mammals were
recorded during these most recent censuses (Appendix 2). In the top-10, most of the species
featuring in the present report are represented:
Top 10 most numerous species Scientific name Dutch name Total
2060 Eidereend Somateria mollissima Common Eider 41
6340 Zeekoet Uria aalge Common Guillemot 37
5920 Zilvermeeuw Larus argentatus Herring Gull 35
1730 Bergeend Tadorna tadorna Common Shelduck 23
5820 Kokmeeuw Chroicocephalus ridibundus Black-headed Gull 22
6000 Grote Mantelmeeuw Larus marinus Great Black-backed Gull 15
4500 Scholekster Haematopus ostralegus Eurasian Oystercatcher 13
5900 Stormmeeuw Larus canus Mew Gull 11
2130 Zwarte Zeeëend Melanitta nigra Black Scoter 10
6360 Alk Alca torda Razorbill 9
Fig. 2. Annual oil rates in Common Guillemots (n >25 complete carcasses) in The Netherlands (OSPAR areas 8, 9
and 10) along the North Sea beach and 5yr running arithmetic mean oil rates since 1977/78. See Fig. 3 for the overall
trend in oil rates. Note: to conduct a trend analysis, these values were logit-transformed in Fig. 3.
0
10
20
30
40
50
60
70
80
90
100
CommonGuillemots
Annualoilrate
5yrRunningmean
9
Fig. 3. Logit-transformed annual oil rates in Common Guillemots (n >25 complete carcasses) in The Netherlands
(OSPAR areas 8, 9 and 10) along the North Sea beach and 5-year running (arithmetic) mean oil rates since the late
1977/78. A linear regression was calculated over the annual values (dashed line; P< 0.001).
Fig. 4. Overall densities (n km
-1
) in Common Guillemots in The Netherlands (OSPAR areas 8, 9 and 10) along the
North Sea beach since winter 1977/78. An exponential trend line was calculated over the annual values (dashed line),
suggesting a long-term decline, but with highly variable numbers.
y=‐0.0385x+1.179
=0.6332
4
3
2
1
0
1
2
3
4
Logittransformedoilrates
CommonGuillemots,logitoilrate,theNetherlands
Annualvalues
5yearrunningmean
y=1.1537e
0.041x
=0.2284
0.0
0.5
1.0
1.5
2.0
2.5
Numberperkmsearched
CommonGuillemot,TheNetherlands,densities
10
Oil rates in Common Guillemots - The annual oil rate in Common Guillemots along the North
Sea coast declined steadily, and significantly since the late 1970s (Fig. 2-3). Along the North Sea
coast of The Netherlands as a whole, in line with numerous earlier reports, a significant decline in
oil rates can be demonstrated (Fig. 3). In winter 2014/15 the national oil rate arrived at 32.4% (n=
37). The exceptionally low value over 2012/13 (10.9%; n= 55) can be seen as an outlier. The five-
year running (arithmetic) mean has arrived at 31.7 ± 12.7% (Appendix 2). Declining oil rates were
found in all three OSPAR regions covered by Dutch surveys (Appendix 2), but the sample size
within each of these regions (that are in fact all contributions to international datasets to be
analysed with combination with Belgian and German data) is too small to warrant a separate trend
analysis. The densities of Common Guillemots found along the Dutch North Sea shore are plotted
in Fig. 4, and these data show highly variable numbers between seasons (the results of wrecks,
weather and oil spills), but also a long-term decline leading to very low densities in recent years.
The low level of strandings was unforeseen in the 1980s and 1990s when the Oiled Guillemot Eco-
QO was developed, but this is an issue affecting the robustness of recent data (as a result of a
reduced sample size) in The Netherlands, just as it is in neighbouring countries.
Fig. 4. Annual oil rates in Common
Guillemots (n >25 complete carcasses) in
OSPAR area 8 (Eastern Southern Bight
mainland coast Dutch contribution only)
and 5-year running (arithmetic) mean oil
rates since the late 1970s. The quality of the
assessments over 2007/08-2010/11 and
2014/15 (but not 2012/13-13/14!) is low due
to low sample size (few corpses). No oiled
birds in 2013/14, relatively many in
2014/15.
0
10
20
30
40
50
60
70
80
90
100
CommonGuillemotOSPAR8
Annualoilrate
5yrrunningmean
11
Fig. 5. Annual oil rates in Common
Guillemots (n >25 complete carcasses) in
OSPAR area 9 (Southern German Bight
Dutch contribution only) and 5-year
running (arithmetic) mean oil rates since
the late 1970s. The quality of the assessment
over 2009/10-2010/11 and 2014/15 is low
due to low sample size (few corpses).
Fig. 6. Annual oil rates in Common
Guillemots (n >25 complete carcasses) in
OSPAR area 10 (Western Wadden Sea
Dutch contribution only) and 5-year
running (arithmetic) mean oil rates since
the late 1970s. The quality of the
assessments over many years (but not
2013/14) is low due to low sample size.
Common Guillemots are and oceanic
species.
.
Fig. 7. Annual oil rates in Razorbills (n >25
complete carcasses) in The Netherlands and
5-year running (arithmetic) mean oil rates
since the late 1970s. See Appendix 7 for the
quality of values. Sample size in 2013/14-
14/15 (none oiled) were too low for an
accurate estimate of oil rates. The five-year
mean is therefore unrealistically low.
Fig. 8. Annual oil rates in Black-legged
Kittiwakes (n >25 complete carcasses) in
The Netherlands and 5-year running
(arithmetic) mean oil rates since the late
1970s. See Appendix 8 for the quality of
values. No reliable data for 2014/15 were
collected (too few intact corpses were
found).
0
10
20
30
40
50
60
70
80
90
100
CommGuillemotOSPAR9
Annualoilrate
5yrrunningmean
0
10
20
30
40
50
60
70
80
90
100
CommonGuillemotOSPAR10
Annualoilrate
5yrrunningmean
0
10
20
30
40
50
60
70
80
90
100
Razorbill
Annualoilrate
5yrRunningmean
0
10
20
30
40
50
60
70
80
90
100
Kittiwake
Annualoilrate
5yrRunningmean
12
Fig. 9. Annual oil rates in Common Eiders
(n >25 complete carcasses) in The
Netherlands and 5-year running (arithmetic)
mean oil rates since the late 1970s. See
Appendix 9 for the quality of values.
Fig. 10. Annual oil rates in Common Scoters
(n >25 complete carcasses) in The
Netherlands and 5-year running (arithmetic)
mean oil rates since the late 1970s. See
Appendix 10 for the quality of values.
Fig. 11. Annual oil rates in Herring Gulls (n
>25 complete carcasses) in The Netherlands
and 5-year running (arithmetic) mean oil rates
since the late 1970s. See Appendix 11 for the
quality of values.
Oil rates in other offshore seabirds - The other offshore seabirds are characterised by similar
trends (Figs 7-8), but the numbers washing ashore are smaller, also in the recent absence of food-
related or storm-driven mass-mortalities and associated wrecks. The most recent wrecks occurred
in winter 2011/12, resulting in reliable but also spectacularly low oil rates. It is this kind of
mortality events that oil rates are artificially lowered and should be treated with caution.
Oil rates in nearshore seabirds - The long-term trends of the coastal species Common Eiders
(Fig. 9) and Herring Gulls (Fig. 11) are even steeper declines. Oiled carcasses are currently rare,
0
10
20
30
40
50
60
70
80
90
100
CommonEider
Annualoilrate
5yrRunningmean
0
10
20
30
40
50
60
70
80
90
100
CommonScoter
Annualoilrate
5yrRunningmean
0
10
20
30
40
50
60
70
80
90
100
HerringGull
Annualoilrate
5yrRunningmean
13
even along the North Sea coast, indicating a more pronounced decline in oil rates than in offshore
seabirds. Remarkably, the oil rates of the more gregarious Common Scoters (Fig. 10) did not
decline, until rather recently. The decline coincided with a marked decline in overall numbers
washing ashore, and although seawatchers have indicated that Common Scoters today are scarce
in comparison with the 1970s-90s (Camphuysen & Van Dijk 1983, Platteeuw et al. 1994,
www.trektellen.nl), high concentrations of birds have occurred that did not produce higher
numbers of (oiled or unoiled) carcasses.
Recent trends and long-term projection - The long-term trends are evident declines in oil rates
in all species. For Common Guillemots, the r
ecent trend based on logit transformed oil rates over the
most recent winters (1999/00 - 2014/15), for the Dutch North Sea coast as a whole, was significant (P <
0.02; a = 0.56, b= -0.06, r²= 0.46, rms= 0.12, se b= 0.02. t= -3.31, n= 15), leading to a projection of ~ logit
-0.64, or 19% oiled birds for 2020, which is in accordance with the most recent targets
Discussion and conclusion
Beached bird surveys are an essential part of both the Oiled-Guillemot EcoQO as well as for the
plastic particle monitoring conducted by using Northern Fulmar carcasses around the North Sea
(Van Franeker & SNS Fulmar Study Group 2013 and numerous other reports). In winter 2014/15,
very few seabirds washed ashore, frustrating both projects, but the oil rates were again low
signalling a major improvement in marine ecosystems for as far as chronic oil pollution is
concerned (Fig. 1). The 5-year running (arithmetic) mean oil rate in Common Guillemots arrived
at 22.6 ± 11.2% (Fig. 2). The latest results (last decade) suggest an acceleration of the decline in
oil rates. Following the most recent data, (1999/00-present), a projection for 2020 would arrive at
a national oil rate for Common Guillemots of c. 19% (logit -0.64). Apart from some oiled Common
Guillemots, no other oiled carcasses were reported in 2014/15.
Seabird densities in winter 2011/12 were so high that volunteers were easy to stimulate and
readily set out (in numbers!) to search for dead birds. In 2012/13, 2013/14 and again in 2014/15,
numbers of seabirds were so low, that many of them refrained from searching systematically. More
opportunistic reports from www.waarneming.nl, after screening for double counts and
identification errors, were successfully used to enhance the sample size of stranded Common
Guillemots. Fox predation, beach-clean-up operations by NGOs and the more and more frequent
'sand suppletions' are issues that hinder regular beached bird surveys in various ways. Foxes
scavenge and remove corpses, so that intact material (fit for inspection for oil) rapidly turn into
scavenged remains (no longer fit for the assessment of oiling). This problem is well known in
14
many countries, but relatively new for The Netherlands. The data are affected in a sense that fewer
corpses are available for inspection, but the oil-rate (i.e. the value of interest) is not expected to be
influenced by the removal and more rapid decay of carcasses. Sand suppletions make substantial
sectors of coastline (at least temporarily) inaccessible and beach-washed carcasses may be covered
under sand. Both factors hinder assessments of total numbers washing ashore (corpse counts), but
are not expected to negatively affect the oil rate, the value desired by OSPAR for the oiled-seabird
(Guillemot) ECOQo.
The Dutch data collected for OSPAR regions 8 and 9 must be seen as contributions to the
data set. An international co-ordinator, or OSPAR itself, will have to combine Dutch, Belgian and
German data for these areas in order to arrive at OSPAR area specific oil rates for Common
Guillemots in the southeastern North Sea. There is no doubt that similar trends will be revealed as
presented in the current document for the Dutch area as a whole.
References
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North Sea, 20-21 March 2002, Bergen, Norway.
Anonymous 2012. Mariene Strategie voor het Nederlandse deel van de Noordzee 2012-2020, Deel 1. Rapport,
Ministeries I&M en ELI, ‘s Gravenhage, The Netherlands.
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Mariene Strategie voor het Nederlandse deel van de Noordzee 2012-2020 Deel 2, het Kaderrichtlijn Mariene
Strategie-Monitoringprogramma, is op 11 juli, inclusief de bijbehorende Nota van Antwoord, vastgesteld
door de Ministerraad. http://www.noordzeeloket.nl/nieuws/?item=3337
Camphuysen C.J. 1989. Beached Bird Surveys in the Netherlands 1915-1988; Seabird Mortality in the southern North
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Amsterdam 322pp.
Camphuysen C.J. 1995. Olieslachtoffers langs de Nederlandse kust als indicatoren van de vervuiling van de zee met
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Camphuysen C.J. 1997. Olievervuiling en olieslachtoffers langs de Nederlandse kust: 1969-1997. Ongepubl.
eindrapport aan Directoraat Generaal Scheepvaart & Maritieme Zaken, (Ministerie van Verkeer en
Waterstaat), CSR Consultancy 97-1, Oosterend, Texel, 64pp.
Camphuysen C.J. 2002. Oil rates in Common Guillemots. CSR Report, Project INTERNAT*NZM-DNZ, OSPAR
Biodiveristy Committee, BDC 03/2/4, Annex 1, 22pp.
Camphuysen C.J. 2004. North Sea pilot project on Ecological Quality Objectives, Issue 4. Seabirds, EcoQO element
F. Proportion of oiled Common Guillemots among those found dead or dying - revised edition (June 2004).
CSR Report 2004-012, Texel, 26pp.
Camphuysen C.J. 2005a. Oiled-guillemot-EcoQO - Implementation Document. North Sea Pilot Project on Ecological
Quality Objectives, Issue 4. Seabirds, EcoQO element (f). NIOZ Report, Royal Netherlands Institute for Sea
Research, Texel, 11pp.
15
Camphuysen C.J. 2005b. Background Document on the Ecological Quality Objective on Oiled Guillemots. North Sea
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Publication Number: 2005/252.
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Dunnet G.M. 1982. Oil pollution and seabird populations. Phil. Trans. R. Soc. London. Ser., B. 297: 413-427.
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Furness R.W. & Camphuysen C.J. 1997. Seabirds as monitors of the marine environment. ICES J. Mar. Sc. 54: 726-
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of 1978 (MARPOL 73/78). International Maritime Organisation, London, http://www.imo.org/home.asp.
Mörzer Bruijns M.F. & Brouwer G.A. 1959. Report on the numbers of oiled birds found dead on the coast of the
Netherlands, 1948-1958. Rep. Proc. int. Conf. Oil Pollution of the Sea, Copenhagen, 3-4 July 1959, Co-ordin.
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proportion of oiled guillemots amongst those found dead or dying on beaches (Revised version). ECOQO
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scheepvaartverkeer. Unpubl. document, Univ. Tilburg.
16
Appendix 1 Observer effort
Kilometers surveyed in beached bird surveys in The Netherlands, winter 1977/78-2014/15. The data for the North Sea
include surveys along the North Sea coast (combining Dutch contributions to OSPAR areas 8-9; see Methods). Total
effort is the sum for all three contributions (OSPAR areas 8-10).
OSPAR8 OSPAR9 OSPAR10 Totals
1977/78 356.0 40.5 7.0 403.5
1978/79 473.2 54.5 3.0 530.7
1979/80 594.7 49.6 3.0 647.3
1980/81 1492.9 154.1 302.0 19 49.0
1981/82 1176.6 145.5 527.5 18 49.6
1982/83 1846.0 205.0 748.8 27 99.8
1983/84 1341.5 264.5 565.6 21 71.6
1984/85 1133.3 133.5 424.0 16 90.8
1985/86 1023.0 95.5 470.0 1588.5
1986/87 708.0 66.5 444.0 12 18.5
1987/88 835.2 112.0 509.4 1456.6
1988/89 951.4 78.0 432.7 1462.1
1989/90 1062.8 122.5 290.5 1475.8
1990/91 1190.8 52.5
123.0 1366.3
1991/92 806.7 76.5 265.5 1148.7
1992/93 678.3 55.0 375.5 1108.8
1993/94 522.5 65.5 482.0 1070.0
1994/95 335.3 57.9 481.3 874.5
1995/96 482.2 86.0 328.0 896.2
1996/97 381.8 54.0 352.5 788.3
1997/98 377.8 95.7 408.0 881.5
1998/99 772.0 264.2 698.5 1734.6
1999/00 646.7 342.1 904.7 1893.5
2000/01 450.3 453.8 690.2 1594.3
2001/02 496.9 489.7 935.5 1922.0
2002/03 805.3 372.3 599.6 1777.2
2003/04
370.0 308.9 516.1 1195.0
2004/05 284.8 314.8 772.0 1371.6
2005/06 253.4 275.5 582.6 1111.5
2006/07 300.7 268.4 515.1 1084.1
2007/08 231.9 166.0 493.9 891.8
2008/09 238.9 232.0 361.2 832.1
2009/10 225.1 136.5 229.8 591.4
2010/11 276.9 119.8 141.0 537.7
2011/12 301.6 237.4 413.7 952.7
2012/13 218.8 68.7 153.3 440.8
2013/14 254.7 141.4 130.2 526.3
2014/15 237.8 101.0 119.4 458.2
17
Appendix 2 Species found, winter 2014/15
Euring Nederlandsenaam Scientificname Englishname n
0 Geenvogelsgevonden Nobirdsfounddead Nobirdsfounddead 37
20 Roodkeelduiker Gaviastellata RedthroatedDiver 7
30 Parelduiker Gaviaarctica BlackthroatedDiver 1
90 Fuut Podicepscristatus GreatCrestedGrebe 1
220 NoordseStormvogel Fulmarusglacialis NorthernFulmar 5
550 VaalStormvogeltje Oceanodromaleucorhoa Leach'sStormpetrel 1
710 JanvanGent Sulabassana NorthernGannet 5
720 Aalscholver Phalacrocoraxcarbo
GreatCormorant 5
1220 BlauweReiger Ardeacinerea GreyHeron 1
1610 GrauweGans Anseranser GreylagGoose 3
1670 Brandgans Brantaleucopsis BarnacleGoose 2
1680 Rotgans Brantabernicla BrentGoose 4
1730 Bergeend Tadornatadorna CommonSh elduck 23
1820 Krakeend Anasstrepera Gadwall 2
1840 Wintertaling Anascrecca EurasianTeal 1
1860 Wilde
Eend Anasplatyrhynchos Mallard 6
1890 Pijlstaart Anasacuta NorthernPintail 1
2060 Eidereend Somateriamollissima CommonEider 41
2130 ZwarteZeeëend Melanittanigra BlackScoter 10
4500 Scholekster Haematopusostralegus EurasianOystercatcher 13
4860 Zilverplevier Pluvialissquatarola GreyPlover 1
4930 Kievit Vanellusvanellus NorthernLapwing 1
4960 Kanoetstrandloper Calidriscanutus RedKnot
2
5120 BonteStrandloper Calidrisalpina Dunlin 3
5290 Houtsnip Scolopaxrusticola EurasianWoodcock 2
5340 RosseGrutto Limosalapponica BartailedGodwit 1
5410 Wulp Numeniusarquata EurasianCurlew 4
5610 Steenloper Arenariainterpres RuddyTurnstone 1
5660 MiddelsteJager Stercorariuspomarinus PomarineSkua 2
5670 KleineJager Stercorariusparasiticus ArcticSkua 1
5690
GroteJager Stercorariusskua GreatSkua 3
5780 Dwergmeeuw Hydrocoloeusminutus LittleGull 1
5820 Kokmeeuw Chroicocephalusridibundus BlackheadedGull 22
5900 Stormmeeuw Laruscanus MewGull 11
5910 KleineMantelmeeuw Larusfuscus LesserBlackbackedGull 6
5920 Zilvermeeuw Larusargentatus HerringGull 35
6000 GroteMantelmeeuw Larusmarinus GreatBlack
backedGull 15
6020 Drieteenmeeuw Rissatridactyla BlackleggedKittiwake 3
6340 Zeekoet Uriaaalge CommonGuillemot 37
6345 Alk/Zeekoet Alcatorda/Uriaaalge CommonGuillemot/Razorbill 1
6360 Alk Alcatorda Razorbill 9
18
Euring Nederlandsenaam Scientificname Englishname n
6470 KleineAlk Allealle LittleAuk 2
6540 Papegaaiduiker Fraterculaarctica AtlanticPuffin 2
6655 Postdui
f
Columba'domestica' domesticpigeon 2
6700 Houtduif Columbapalumbus CommonWoodPigeon 1
11870 Mere l Turdusmerula CommonBlackbird 1
11980 Kramsvogel Turduspilaris Fieldfare 7
12010 Koperwiek Turdusiliacus Redwing 3
15820 Spreeuw Sturnusvulgaris CommonStarling 2
23070 Griend Globicephalamelaena LongfinnedPilotWhale 1
23510 Bru invis Phocoenaphocoena HarbourPorpoise 7
24320
GrijzeZeehond Halichoerusgrypus GreySeal 1
24330 GewoneZeehond Phocavitulina CommonSeal 6
19
Appendix 3 Common Guillemot Uria aalge
Oil rates of Common Guillemots in The Netherlands, winter 1977/78-2013/14. The National
survey combines all surveys along the North Sea coast (Dutch contributions to OSPAR 8 and 9).
In all tables: Qual (Quality code) 01 = sufficiently large samples ( 25), 00= (too) small samples
NationalCommonGui llemots Annual Annual
Winter nOi led nTotal Oilrate%Qual5yrmean Logitoil 5yrmean
1977/78 102 105 1977/78 97.1 01 1977/78 1.53
1978/79 120 139 1978/79 86.3 01 1978/79 0.80
1979/80 168 185 1979/80 90.8 01 1979/80 0.99
1980/81 3426 3759 1980/81 91.1 01 1980/81 1.01
1981/82 890 997 1981/82 89.3 01 90.9 1981/82 0.92 1.00
1982/83 3994 4403 1982/83 90.7 01 89.7 1982/83 0.99 0.94
1983/84 2199 2472 1983/84 89.0 01 90.2 1983/84 0.91 0.96
1984/85 1138 1390 1984/85 81.9 01 88.4 1984/85 0.65 0.88
1985/86 1116 1357 1985/86 82.2 01 86.6 1985/86 0.67 0.81
1986/87 160 175 1986/87 91.4 01 87.0 1986/87 1.03 0.83
1987/88 1477 1562 1987/88 94.6 01 87.8 1987/88 1.24 0.86
1988/89 1231 1672 1988/89 73.6 01 84.7 1988/89 0.45 0.74
1989/90 1221 1540 1989/90 79.3 01 84.2 1989/90 0.58 0.73
1990/91 1733 2073 1990/91 83.6 01 84.5
1990/91 0.71 0.74
1991/92 720 799 1991/92 90.1 01 84.2 1991/92 0.96 0.73
1992/93 462 1107 1992/93 41.7 01 73.7 1992/93 0.14 0.45
1993/94 508 855 1993/94 59.4 01 70.8 1993/94 0.17 0.39
1994/95 336 466 1994/95 72.1 01 69.4 1994/95 0.41 0.36
1995/96 107 179 1995/96 59.8 01 64.6 1995/96 0.17 0.26
1996/97 183 225 1996/97 81.3 01 62.9 1996/97 0.64 0.23
1997/98 334 481 1997/98 69.4 01 68.4 1997/98 0.36 0.34
1998/99 1183 2399 1998/99 49.3 01 66.4 1998/99 0.01 0.30
1999/00 886 1163 1999/00 76.2 01 67.2 1999/00 0.50 0.31
2000/01 221 377 2000/01 58.6 01 67.0 2000/01 0.15 0.31
2001/02 472 811 2001/02 58.2 01 62.4 2001/02 0.14 0.22
2002/03 2151 2402 2002/03 89.6 01 66.4 2002/03 0.93 0.30
2003/04 305 427 2003/04 71.4 01 70.8 2003/04 0.40 0.38
2004/05 351 701 2004/05 50.1 01 65.6 2004/05 0.00 0.28
2005/06 156 288 2005/06 54.2 01 64.7 2005/06 0.07 0.26
2006/07 179 618 2006/07 29.0 01 58.8
2006/07 0.39 0.16
2007/08 38 82 2007/08 46.3 01 50.2 2007/08 0.06 0.00
2008/09 79 101 2008/09 78.2 01 51.6 2008/09 0.56 0.03
2009/10 35 63 2009/10 55.6 01 52.6 2009/10 0.10 0.05
2010/11 15 34 2010/11 44.1 00 50.6 2010/11 0.01
2011/12 69 238 2011/12 29.0 01 50.6 2011/12 0.39 0.01
2012/13 7 58 2012/13 12.1 01 43.8 2012/13 0.86 0.11
2013/14 25 75 2013/14 33.3 01 34.8 2013/14 0.30 0.27
2014/15 12 37 2014/15 32.4 01 30.2 2014/15 0.32 0.36
20
OSPAR8COMMONGUILLEMOTS
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 79 82 1977/78 96.3 01 1977/78 1.42
1978/79 78 93 1978/79 83.9 01 1978/79 0.72
1979/80 111 118 1979/80 94.1 01 1979/80 1.20
1980/81 2782 3078 1980/81 90.4 01 1980/81 0.97
1981/82 589 678 1981/82 86.9 01 90.3 1981/82 0.82 0.97
1982/83 2205 2515 1982/83 87.7 01 88.6 1982/83 0.85 0.89
1983/84 1444 1649 1983/84 87.6 01 89.3 1983/84 0.85 0.92
1984/85 667 863 1984/85 77.3 01 86.0 1984/85 0.53 0.79
1985/86 634 808 1985/86 78.5 01 83.6 1985/86 0.56 0.71
1986/87 96 107 1986/87 89.7 01 84.1 1986/87 0.94 0.72
1987/88 1138 1184 1987/88 96.1 01 85.8 1987/88 1.39 0.78
1988/89 918 1249 1988/89 73.5 01 83.0 1988/89 0.44 0.69
1989/90 1036 1296 1989/90 79.9 01 83.5 1989/90 0.60 0.71
1990/91 1593 1892
1990/91 84.2 01 84.7 1990/91 0.73 0.74
1991/92 466 524 1991/92 88.9 01 84.5 1991/92 0.90 0.74
1992/93 356 821 1992/93 43.4 01 74.0 1992/93 0.12 0.45
1993/94 343 562 1993/94 61.0 01 71.5 1993/94 0.19 0.40
1994/95 172 248 1994/95 69.4 01 69.4 1994/95 0.35 0.36
1995/96 65 111 1995/96 58.6 01 64.2 1995/96 0.15 0.25
1996/97 124 147 1996/97 84.4 01 63.3 1996/97 0.73 0.24
1997/98 219 306 1997/98 71.6 01 69.0 1997/98 0.40 0.35
1998/99 704 1302 1998/99 54.1 01 67.6 1998/99 0.07 0.32
1999/00 546 691 1999/00 79.0 01 69.5 1999/00 0.58 0.36
2000/01 58 114 2000/01 50.9 01 68.0 2000/01 0.02 0.33
2001/02 220 347 2001/02 63.4 01 63.8 2001/02 0.24 0.25
2002/03 1930 2011 2002/03 96.0 01 68.7 2002/03 1.38 0.34
2003/04 119 142 2003/04 83.8 01 74.6 2003/04 0.71 0.47
2004/05 176 278 2004/05 63.3 01 71.5 2004/05 0.24 0.40
2005/06 47 85 2005/06 55.3 01 72.4 2005/06 0.09 0.42
2006/07 126 382 2006/07 33.0 01 66.3 2006/07
0.31 0.29
2007/08 9 18 2007/08 50.0 00 57.1 2007/08
2008/09 19 22 2008/09 86.4 00 57.6 2008/09
2009/10 13 23 2009/10 56.5 00 56.2 2009/10
2010/11 5 9 2010/11 55.6 00 56.3 2010/11
2011/12 32 107 2011/12 29.9 01 55.7 2011/12 0.37 0.10
2012/13 1 28 2012/13 3.6 01 46.4 2012/13 1.43 0.06
2013/14 16 2013/14 0.0 00 29.1 2013/14
2014/15 10 18 2014/15 55.6 00 28.9 2014/15
21
OSPAR9COMMONGUILLEMOTS
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 23 23 1977/78 100.0 00 1977/78
1978/79 40 44 1978/79 90.9 01 1978/79 1.00
1979/80 26 27 1979/80 96.3 01 1979/80 1.41
1980/81 212 225 1980/81 94.2 01 1980/81 1.21
1981/82 111 117 1981/82 94.9 01 95.3 1981/82 1.27 1.30
1982/83 332 360 1982/83 92.2 01 93.7 1982/83 1.07 1.17
1983/84 70 96 1983/84 72.9 01 90.1 1983/84 0.43 0.96
1984/85 310 348 1984/85 89.1 01 88.7 1984/85 0.91 0.89
1985/86 114 133 1985/86 85.7 01 87.0 1985/86 0.78 0.82
1986/87 21 21 1986/87 100.0 01 88.0 1986/87 n.d. 0.86
1987/88 151 156 1987/88 96.8 01 88.9 1987/88 1.48 0.90
1988/89 114 117 1988/89 97.4 01 93.8 1988/89 1.58 1.18
1989/90 102 126 1989/90 81.0 01 92.2 1989/90 0.63 1.07
1990/91 122 141
1990/91 86.5 01 92.3 1990/91 0.81 1.08
1991/92 231 236 1991/92 97.9 01 91.9 1991/92 1.66 1.06
1992/93 29 68 1992/93 42.6 01 81.1 1992/93 0.13 0.63
1993/94 74 114 1993/94 64.9 01 74.6 1993/94 0.27 0.47
1994/95 65 78 1994/95 83.3 01 75.1 1994/95 0.70 0.48
1995/96 26 37 1995/96 70.3 01 71.8 1995/96 0.37 0.41
1996/97 37 49 1996/97 75.5 01 67.3 1996/97 0.49 0.31
1997/98 84 114 1997/98 73.7 01 73.5 1997/98 0.45 0.44
1998/99 299 515 1998/99 58.1 01 72.2 1998/99 0.14 0.41
1999/00 223 277 1999/00 80.5 01 71.6 1999/00 0.62 0.40
2000/01 96 154 2000/01 62.3 01 70.0 2000/01 0.22 0.37
2001/02 165 304 2001/02 54.3 01 65.8 2001/02 0.07 0.28
2002/03 136 213 2002/03 63.8 01 63.8 2002/03 0.25 0.25
2003/04 128 167 2003/04 76.6 01 67.5 2003/04 0.52 0.32
2004/05 87 155 2004/05 56.1 01 62.6 2004/05 0.11 0.22
2005/06 37 84 2005/06 44.0 01 59.0 2005/06 0.10 0.16
2006/07 38 137 2006/07 27.7 01 53.7
2006/07 0.42 0.06
2007/08 20 41 2007/08 48.8 01 50.7 2007/08 0.02 0.01
2008/09 48 57 2008/09 84.2 01 52.2 2008/09 0.73 0.04
2009/10 13 24 2009/10 54.2 00 51.8 2009/10
2010/11 2 9 2010/11 22.2 00 47.4 2010/11
2011/12 32 87 2011/12 36.8 01 49.2 2011/12 0.24 0.01
2012/13 4 25 2012/13 16.0 01 42.7 2012/13 0.72 0.13
2013/14 23 39 2013/14 59.0 01 37.6 2013/14 0.16 0.22
2014/15 1 15 2014/15 6.7 00 28.1 2014/15
22
OSPAR10COMMONGUILLEMOTS
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 1977/78
1978/79 1978/79
1979/80 1979/80
1980/81 214 233 1980/81 91.8 01 1980/81 1.05
1981/82 106 115 1981/82 92.2 01 92.0 1981/82 1.07 1.06
1982/83 399 434 1982/83 91.9 01 92.0 1982/83 1.06 1.06
1983/84 127 163 1983/84 77.9 01 88.5 1983/84 0.55 0.88
1984/85 41 47 1984/85 87.2 01 88.2 1984/85 0.83 0.87
1985/86 132 162 1985/86 81.5 01 86.1 1985/86 0.64 0.79
1986/87 15 17 1986/87 100.0 00 87.7 1986/87
1987/88 68 86 1987/88 79.1 01 85.1 1987/88 0.58 0.76
1988/89 66 133 1988/89 49.6 01 79.5 1988/89 0.01 0.59
1989/90 61 83 1989/90 73.5 01 76.7 1989/90 0.44 0.52
1990/91 15 35 1990/91 42.9 01 69.0 1990/91
0.12 0.35
1991/92 6 6 1991/92 100.0 00 69.0 1991/92
1992/93 63 136 1992/93 46.3 01 62.5 1992/93 0.06 0.22
1993/94 57 107 1993/94 53.3 01 63.2 1993/94 0.06 0.23
1994/95 59 83 1994/95 71.1 01 62.7 1994/95 0.39 0.23
1995/96 4 7 1995/96 57.1 00 65.6 1995/96
1996/97 4 6 1996/97 66.7 00 58.9 1996/97
1997/98 13 21 1997/98 61.9 00 62.0 1997/98
1998/99 107 419 1998/99 25.5 01 56.5 1998/99 0.46 0.11
1999/00 93 152 1999/00 61.2 01 54.5 1999/00 0.20 0.08
2000/01 22 50 2000/01 44.0 01 51.9 2000/01 0.10 0.03
2001/02 71 139 2001/02 51.1 01 48.7 2001/02 0.02 0.02
2002/03 36 77 2002/03 46.8 01 45.7 2002/03 0.06 0.07
2003/04 29 62 2003/04 46.8 01 50.0 2003/04 0.06 0.00
2004/05 44 103 2004/05 42.7 01 46.3 2004/05 0.13
0.07
2005/06 34 71 2005/06 47.9 01 47.0 2005/06 0.04 0.05
2006/07 13 79 2006/07 16.5 01 40.1 2006/07 0.71 0.17
2007/08 7 20 2007/08 35.0 00 37.8 2007/08
2008/09 6 9 2008/09 66.7 00 41.7 2008/09
2009/10 7 10 2009/10 70.0 00 47.2 2009/10
2010/11 0 2010/11 00 47.0 2010/11
2011/12 2 30 2011/12 6.7 01 44.6 2011/12 1.15 0.09
2012/13 1 3 2012/13 33.3 00 44.2 2012/13
2013/14 2 16 2013/14 12.5 00 30.6 2013/14
2014/15 0 2014/15 00 2014/15
23
Appendix 7 Razorbill Alca torda
Oil rates of Razorbills in The Netherlands, winter 1977/78-2013/14. The National survey combines
all surveys along the North Sea coast.
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 33 35 1977/78 94.3 01 1977/78 1.22
1978/79 36 42 1978/79 85.7 01 1978/79 0.78
1979/80 34 35 1979/80 97.1 01 1979/80 1.53
1980/81 551 573 1980/81 96.2 01 1980/81 1.40
1981/82 114 119 1981/82 95.8 01 93.8 1981/82 1.36 1.18
1982/83 1370 1623 1982/83 84.4 01 91.8 1982/83 0.73 1.05
1983/84 572 615 1983/84 93.0 01 93.3 1983/84 1.12 1.14
1984/85 91 101 1984/85 90.1 01 91.9 1984/85 0.96 1.05
1985/86 137 153 1985/86 89.5 01 90.6 1985/86 0.93 0.98
1986/87 17 19 1986/87 89.5 01 89.3 1986/87 0.93 0.92
1987/88 228 249 1987/88 91.6 01 90.7 1987/88 1.04 0.99
1988/89 168 191 1988/89 88.0 01 89.7 1988/89 0.86 0.94
1989/90 555 784 1989/90 70.8 01 85.9 1989/90 0.38 0.78
1990/91 167 210 1990/91 79.5 01 83.9 1990/91 0.59 0.72
1991/92 68 69 1991/92 98.6 01 85.7
1991/92 1.83 0.78
1992/93 46 67 1992/93 68.7 01 81.1 1992/93 0.34 0.63
1993/94 52 65 1993/94 80.0 01 79.5 1993/94 0.60 0.59
1994/95 75 96 1994/95 78.1 01 81.0 1994/95 0.55 0.63
1995/96 49 162 1995/96 30.2 01 71.1 1995/96 0.36 0.39
1996/97 27 41 1996/97 65.9 01 64.6 1996/97 0.29 0.26
1997/98 68 112 1997/98 60.7 01 63.0 1997/98 0.19 0.23
1998/99 110 157 1998/99 70.1 01 61.0 1998/99 0.37 0.19
1999/00 281 373 1999/00 75.3 01 60.4 1999/00 0.48 0.18
2000/01 20 27 2000/01 74.1 01 69.2 2000/01 0.46 0.35
2001/02 75 135 2001/02 55.6 01 67.1 2001/02 0.10 0.31
2002/03 799 984 2002/03 81.2 01 71.2 2002/03 0.64 0.39
2003/04 67 112 2003/04 59.8 01 69.2 2003/04 0.17 0.35
2004/05 68 225 2004/05 30.2 01 60.2 2004/05 0.36 0.18
2005/06 50 87 2005/06 57.5 01 56.9 2005/06 0.13 0.12
2006/07 58 218 2006/07 26.6 01 51.1 2006/07 0.44 0.02
2007/08 2 17
2007/08 11.8 01 37.2 2007/08 0.23
2008/09 6 10 2008/09 60.0 01 37.2 2008/09
2009/10 5 14 2009/10 35.7 01 38.3 2009/10
2010/11 5 2010/11 0.0 00 26.8 2010/11
2011/12 12 364 2011/12 3.3 01 22.2 2011/12 1.47
2012/13 1 16 2012/13 6.3 01 21.1 2012/13
2013/14 19 2013/14 0.0 01 9.1 2013/14
2014/15 6 2014/15 0.0 00 1.9 2014/15
24
Appendix 8 Black-legged Kittiwakes Rissa tridactyla
Oil rates of Black-legged Kittiwakes in The Netherlands, winter 1977/78-2013/14. The National
survey combines all surveys along the North Sea coast.
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 87 113 1977/78 77.0 01 1977/78 0.52
1978/79 35 85 1978/79 41.2 01 1978/79 0.15
1979/80 95 142 1979/80 66.9 01 1979/80 0.31
1980/81 1317 1545 1980/81 85.2 01 1980/81 0.76
1981/82 140 188 1981/82 74.5 01 69.0 1981/82 0.46 0.35
1982/83 884 1117 1982/83 79.1 01 69.4 1982/83 0.58 0.36
1983/84 1603 1902 1983/84 84.3 01 78.0 1983/84 0.73 0.55
1984/85 151 276 1984/85 54.7 01 75.6 1984/85 0.08 0.49
1985/86 171 282 1985/86 60.6 01 70.6 1985/86 0.19 0.38
1986/87 61 113 1986/87 54.0 01 66.6 1986/87 0.07 0.30
1987/88 102 153 1987/88 66.7 01 64.1 1987/88 0.30 0.25
1988/89 70 131 1988/89 53.4 01 57.9 1988/89 0.06 0.14
1989/90 87 157 1989/90 55.4 01 58.0 1989/90 0.09 0.14
1990/91 90 151 1990/91 59.6 01 57.8 1990/91 0.17 0.14
1991/92 43 63
1991/92 68.3 01 60.7 1991/92 0.33 0.19
1992/93 66 228 1992/93 28.9 01 53.1 1992/93 0.39 0.05
1993/94 28 62 1993/94 45.2 01 51.5 1993/94 0.08 0.03
1994/95 43 52 1994/95 82.7 01 56.9 1994/95 0.68 0.12
1995/96 12 23 1995/96 52.2 01 55.4 1995/96 0.09
1996/97 23 39 1996/97 59.0 01 53.6 1996/97 0.16 0.06
1997/98 62 138 1997/98 44.9 01 56.8 1997/98 0.09 0.12
1998/99 97 189 1998/99 51.3 01 58.0 1998/99 0.02 0.14
1999/00 129 240 1999/00 53.8 01 52.2 1999/00 0.07 0.04
2000/01 18 44 2000/01 40.9 01 50.0 2000/01 0.16 0.00
2001/02 68 216 2001/02 31.5 01 44.5 2001/02 0.34 0.10
2002/03 96 136 2002/03 70.6 01 49.6 2002/03 0.38 0.01
2003/04 37 64 2003/04 57.8 01 50.9 2003/04 0.14 0.02
2004/05 33 92 2004/05 35.9 01 47.3 2004/05 0.25 0.05
2005/06 7 23 2005/06 30.4 00 45.2 2005/06 0.36 0.08
2006/07 10 71 2006/07 14.1 01 41.8 2006/07 0.79 0.14
2007/08 11 2007/08 0.0 00 27.6 2007/08 0.42
2008/09 8 17 2008/09 47.1 00 25.5 2008/09
2009/10 14 2009/10 0.0 00 18.3 2009/10
2010/11 3 8 2010/11 37.5 00 19.7 2010/11
2011/12 10 257 2011/12 3.9 01 17.7 2011/12 1.39
2012/13 26 2012/13 0.0 01 17.7 2012/13
2013/14 1 4 2013/14 25.0 01 13.3 2013/14 0.48
2014/15 2014/15 00 2014/15
25
Appendix 9 Common Eiders Somateria mollissima
Oil rates of Common Eiders in The Netherlands, winter 1977/78-2013/14. The National survey
combines all surveys along the North Sea coast.
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 13 21 1977/78 61.9 00 1977/78
1978/79 10 38 1978/79 26.3 01 1978/79 0.45
1979/80 19 31 1979/80 61.3 01 1979/80 0.20
1980/81 56 103 1980/81 54.4 01 1980/81 0.08
1981/82 63 173 1981/82 36.4 01 48.1 1981/82 0.24 0.03
1982/83 196 458 1982/83 42.8 01 44.2 1982/83 0.13 0.10
1983/84 98 479 1983/84 20.5 01 43.1 1983/84 0.59 0.12
1984/85 110 756 1984/85 14.6 01 33.7 1984/85 0.77 0.29
1985/86 16 236 1985/86 6.8 01 24.2 1985/86 1.14 0.50
1986/87 281 365 1986/87 77.0 01 32.3 1986/87 0.52 0.32
1987/88 658 870 1987/88 75.6 01 38.9
1987/88 0.49 0.20
1988/89 91 590 1988/89 15.4 01 37.9 1988/89 0.74 0.21
1989/90 52 263 1989/90 19.8 01 38.9 1989/90 0.61 0.20
1990/91 54 757 1990/91 7.1 01 39.0 1990/91 1.11 0.19
1991/92 138 533 1991/92 25.9 01 28.8 1991/92 0.46 0.39
1992/93 56 513 1992/93 10.9 01 15.8 1992/93 0.91 0.73
1993/94 25 156 1993/94 16.0 01 15.9 1993/94 0.72 0.72
1994/95 57 588 1994/95 9.7 01 13.9 1994/95 0.97 0.79
1995/96 24 337 1995/96 7.1 01 13.9 1995/96 1.12 0.79
1996/97 33 293 1996/97 11.3 01 11.0 1996/97 0.90 0.91
1997/98 19 162 1997/98 11.7 01 11.2 1997/98
0.88 0.90
1998/99 37 227 1998/99 16.3 01 11.2 1998/99 0.71 0.90
1999/00 340 6860 1999/00 5.0 01 10.3 1999/00 1.28 0.94
2000/01 12 1344 2000/01 0.9 01 9.0 2000/01 2.05 1.00
2001/02 65 3557 2001/02 1.8 01 7.1 2001/02 1.73 1.11
2002/03 54 722 2002/03 7.5 01 6.3 2002/03 1.09 1.17
2003/04 8 262 2003/04 3.1 01 3.6 2003/04 1.50 1.42
2004/05 12 584 2004/05 2.1 01 3.1 2004/05 1.68 1.50
2005/06 10 342 2005/06 2.9 01 3.5 2005/06 1.52 1.44
2006/07 2 165 2006/07 1.2 01 3.3 2006/07 1.91 1.46
2007/08 1 74 2007/08 1.4 00 2.1 2007/08 1.66
2008/09 1 130 2008/09 0.8 01 1.7 2008/09 2.11 1.77
2009/10 2 92 2009/10 2.2 01 1.7 2009/10 1.65 1.77
2010/11 28 2010/11 0.0 00 1.1 2010/11
2011/12 1 169 2011/12 0.6 01 1.0 2011/12 2.23
2012/13 10 2012/13 0.0 00 0.7 2012/13
2013/14 15 2013/14 0.0 00 0.6 2013/14
2014/15 17 2014/15 0.0 00 0.1 2014/15
26
Appendix 10 Common Scoters Melanitta nigra
Oil rates of Common Scoters in The Netherlands, winter 1977/78-2013/14. The National survey
combines all surveys along the North Sea coast.
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 8 10 1977/78 80.0 00 1977/78 0.60
1978/79 144 265 1978/79 54.3 01 1978/79 0.08
1979/80 30 39 1979/80 76.9 01 1979/80 0.52
1980/81 65 83 1980/81 78.3 01 1980/81 0.56
1981/82 160 210 1981/82 76.2 01 73.2 1981/82 0.51 0.44
1982/83 154 194 1982/83 79.4 01 73.0 1982/83 0.59 0.43
1983/84 110 141 1983/84 78.0 01 77.8 1983/84 0.55 0.54
1984/85 98 180 1984/85 54.4 01 73.3 1984/85 0.08 0.44
1985/86 175 238 1985/86 73.5 01 72.3 1985/86 0.44 0.42
1986/87 121 147 1986/87 82.3 01 73.5 1986/87 0.67 0.44
1987/88 1571 1598 1987/88 98.3 01 77.3 1987/88 1.76 0.53
1988/89 56 83 1988/89 67.5 01 75.2 1988/89 0.32 0.48
1989/90 11 19 1989/90 57.9 00 75.9 1989/90 0.14 0.50
1990/91 112 151 1990/91 74.2 01 76.0 1990/91 0.46 0.50
1991/92 70 82 1991/92 85.4 01 76.6
1991/92 0.77 0.52
1992/93 83 143 1992/93 58.0 01 68.6 1992/93 0.14 0.34
1993/94 71 104 1993/94 68.3 01 68.7 1993/94 0.33 0.34
1994/95 155 194 1994/95 79.9 01 73.1 1994/95 0.60 0.44
1995/96 103 139 1995/96 74.1 01 73.1 1995/96 0.46 0.43
1996/97 71 97 1996/97 73.2 01 70.7 1996/97 0.44 0.38
1997/98 24 30 1997/98 80.0 01 75.1 1997/98 0.60 0.48
1998/99 197 244 1998/99 80.7 01 77.6 1998/99 0.62 0.54
1999/00 70 114 1999/00 61.4 01 73.9 1999/00 0.20 0.45
2000/01 10 28 2000/01 35.7 00 66.2 2000/01 0.26 0.29
2001/02 81 178 2001/02 45.5 01 60.7 2001/02 0.08 0.19
2002/03 101 129 2002/03 78.3 01 60.3 2002/03 0.56 0.18
2003/04 15 28 2003/04 53.6 00 54.9 2003/04 0.06 0.09
2004/05 23 44 2004/05 52.3 01 53.1 2004/05 0.04 0.05
2005/06 14 31 2005/06 45.2 00 55.0 2005/06 0.08 0.09
2006/07 2 10 2006/07 20.0 00 49.9 2006/07
2007/08 4 17
2007/08 23.5 00 38.9 2007/08
2008/09 4 2008/09 0.0 00 28.2 2008/09
2009/10 2 11 2009/10 18.2 00 21.4 2009/10
2010/11 1 5 2010/11 20.0 00 16.3 2010/11
2011/12 1 22 2011/12 4.5 00 13.3 2011/12
2012/13 6 2012/13 0.0 00 8.5 2012/13
2013/14 9 2013/14 0.0 00 8.5 2013/14
2014/15 5 2014/15 0.0 4.9 2014/15
27
Appendix 11 Herring Gull Larus argentatus
Oil rates of Herring Gulls in The Netherlands, winter 1977/78-2013/14. The National survey
combines all surveys along the North Sea coast (Dutch contributions to OSPAR 8 and 9).
Win ter nOi led nTotal Oi lrate%Qual5yrmean Logitoil 5yrmean
1977/78 49 74 1977/78 66.2 01 1977/78 0.29
1978/79 83 224 1978/79 37.1 01 1978/79 0.23
1979/80 43 146 1979/80 29.5 01 1979/80 0.38
1980/81 291 428 1980/81 68.0 01 1980/81 0.33
1981/82 165 422 1981/82 39.1 01 48.0 1981/82 0.19 0.04
1982/83 232 445 1982/83 52.1 01 45.1 1982/83 0.04 0.08
1983/84 265 644 1983/84 41.1 01 46.0 1983/84 0.16 0.07
1984/85 107 420 1984/85 25.5 01 45.2 1984/85 0.47 0.08
1985/86 67 330 1985/86 20.3 01 35.6 1985/86 0.59 0.26
1986/87 65 218 1986/87 29.8 01 33.8 1986/87 0.37 0.29
1987/88 68 248
1987/88 27.4 01 28.8 1987/88 0.42 0.39
1988/89 63 325 1988/89 19.4 01 24.5 1988/89 0.62 0.49
1989/90 62 291 1989/90 21.3 01 23.6 1989/90 0.57 0.51
1990/91 30 186 1990/91 16.1 01 22.8 1990/91 0.72 0.53
1991/92 41 124 1991/92 33.1 01 23.5 1991/92 0.31 0.51
1992/93 24 183 1992/93 13.1 01 20.6 1992/93 0.82 0.59
1993/94 36 128 1993/94 28.1 01 22.3 1993/94 0.41 0.54
1994/95 31 149 1994/95 20.8 01 22.2 1994/95 0.58 0.54
1995/96 14 156 1995/96 9.0 01 20.8 1995/96 1.01 0.58
1996/97 12 109 1996/97 11.0 01 16.4 1996/97 0.91 0.71
1997/98 13 115
1997/98 11.3 01 16.0 1997/98 0.89 0.72
1998/99 37 171 1998/99 21.6 01 14.7 1998/99 0.56 0.76
1999/00 40 170 1999/00 23.5 01 15.3 1999/00 0.51 0.74
2000/01 3 180 2000/01 1.7 01 13.8 2000/01 1.77 0.79
2001/02 11 268 2001/02 4.1 01 12.4 2001/02 1.37 0.85
2002/03 25 217 2002/03 11.5 01 12.5 2002/03 0.89 0.85
2003/04 7 115 2003/04 6.1 01 9.4 2003/04 1.19 0.98
2004/05 8 145 2004/05 5.5 01 5.8 2004/05 1.23 1.21
2005/06 6 143 2005/06 4.2 01 6.3 2005/06 1.36 1.17
2006/07 2 84 2006/07 2.4 01 5.9 2006/07 1.61 1.20
2007/08 1 61 2007/08 1.6 01 4.0
2007/08 1.38
2008/09 3 95 2008/09 3.2 01 3.4 2008/09 1.49 1.46
2009/10 1 57 2009/10 1.8 01 2.6 2009/10 1.57
2010/11 59 2010/11 0.0 00 1.8 2010/11 1.74
2011/12 83 2011/12 0.0 01 1.3 2011/12 n.d. 1.88
2012/13 2 22 2012/13 9.1 01 2.8 2012/13 1.54
2013/14 1 23 2013/14 4.3 01 3.0 2013/14 1.34 1.50
2014/15 25 2014/15 0.0 01 2.7 2014/15 n.d.
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Technical Report
Full-text available
This is the annual report for OSPAR on the beached bird survey (BBS) results in The Netherlands winter 2019/20, including OSPAR area's 8, 9 and 10. Data from Belgian and German colleagues will have to be merged to arrive at the final values for these areas. For the Dutch North Sea region, significant declines in oil rates were reported in recent decades (especially since ~2005). In recent seasons, consistently low oil rates are found in all species, and this includes the target species Common Guillemot Uria aalge. The sample size for Common Guillemots was smaller than one year earlier, sufficient for the OSPAR subregions covered in this study that are bordering the North Sea. The sample was just a bit too small for the interior Wadden Sea, as in most seasons. The oil-rate (percentage of oiled Common Guillemots of all complete Common Guillemots found dead) reached a very low value of only 7.1% (n= 70) for the North Sea coast of OSPAR areas 8 and 9 combined. This current figure is the fifth value ever measured within The Netherlands below 10%, and it consolidates the sharp drop in oil-rates that occurred after winter 2014/2015. The most recent data conform the declining trend once more, as a result of which the 5-year running mean of oil rates in Common Guillemots has now arrived at 5.8 ± 1.5% (mean ± S.D.) for all North Sea beaches combined. The OSPAR target of 20% over periods of at least 5 years for 2020 has evidently been exceeded and that for 2030 (10%) has been reached. Winter 2019/20 was again an exceptionally mild season (no winter mortality) and no seabird wrecks, for example following periods of violent weather were known to have occurred. Several Northern Gannets were found entangled in fishing gear, three Great Cormorants were found with freshly caught fish sticking out their beaks. Unusual finds include Leach Storm Petrel Oceanodroma leucorhoa, three Black-throated Divers Gavia arctica and two Great Cormorants of the Atlantic form Phalacrocorax carbo carbo.
Article
Full-text available
Oil pollution and oil victims along the Dutch coast, 1969-97: signals of a cleaner environment Marine oil pollution is taking its toll among seabirds since the late 19th century. Systematic beached bird surveys were used to demonstrate the effect of oil pollution since the late 1950s. However, beached bird surveys were not widely accepted as a means to evaluate the effectiveness of measures to reduce oil pollution. The reluctance to use these data was mainly caused by the enormous fluctuations in numbers of birds washing ashore, which is a result of a complex of factors ranging from onshore winds through severe winters and to oil incidents. Beached bird survey results were considered very difficult to interpret. A recent analysis of the data showed that oil rates (the proportion of oiled casualties of the total number of birds washing ashore) were fairly constant between species and between areas, with rather small fluctuations between years. The oil rate was now considered to illustrate the 'risk' of birds to become oiled in certain areas. Dutch beached bird surveys were therefore re-analysed. The oil rate, based on a sufficient sample of 'complete' corpses of birds, was used to decribe trends in oil contamination among seabirds, coastal birds and land birds. These trends were believed to mirror the trends in the amount of oil pollution of the seas washing our shores. A power analysis performed on the basis of 10 years of data showed that significant trends were to be expected with a certainty of 75% in datasets of 13-17 years (Camphuysen 1995). This study reports on the results of beached bird surveys in The Netherlands which were conducted since 1969, with emphasis on data collected since 1977 as a responsibility of the working group beached bird surveys of the Dutch Seabird group (NZG/NSO).
Article
Full-text available
Oiled seabirds on the Dutch coast as indicators of levels of chronic marine oil pollution Since the end of last century, oil pollution of the open seas and coastal waters has become obvious mainly because of the frequent mass strandings of heavily oiled seabirds. In contrast to what is generally believed, oil incidents play a rather insignificant role in this form of pollution. Operational discharges by ships and frequent leakages of oil by ships and offshore installations are the main sources of oil washing ashore beached and found on oiled, beached birds. The oil pollution problem has been recognized as a significant threat to the marine environment, and several measures were taken to reduce the amount of oil which is released into the sea. Beached bird surveys (BBS) have always been used as an aid to demonstrate the impact of oil pollution on the marine environment, but BBS results have played only a minor role in the assessment of the scale of and trends in marine oil pollution. Weather and wind ar normally said to influence the data so much, that the outcome is of limited value or very difficult to interpret at best. However, the use of an oil rate (the fraction of birds oiled out of the total number of birds washing ashore) to demonstrate the level of oil pollution in different sea areas is relatively new. Total numbers of birds washing ashore, usually expressed as densities (number per km surveyed), are now considered of secondary importance and these figures may only be used to examine the (local) impact of a given oil incident. Oil rates were found consistent in different species and in different areas. It is now believed that BBS results are quite useful indicators of the occurrence of marine oil pollution. On the third North Sea Ministers Conference in 1990 it was concluded that the possible use of Beached Bird Surveys was to be investigated, as an indicator of the effectiveness of actions taken to reduce oil pollution of the seas. Following a report on 'The Value of Beached Bird Surveys in monitoring oil pollution', published in 1992, it was concluded on the interim Ministers Conference in Copenhagen in December 1993 that "In 1995 it should be possible to assess the effectiveness of the measures already agreed, and an assessment should be made available to the Fourth International Conference on the Protection of the North Sea. The Monitoring of oiled seabirds should continue as a useful indicator of the effectiviness of these measures". In The Netherlands, BBS were an activity of volunteers during the last three decades. Now that BBS results were considered of interest to monitor trends in oil pollution rather than the effect of oil on (sea-) birds, the Directorate-General of Shipping and Maritime Affairs (DGSM) initiated the continuation of Beached Bird surveys in the Netherlands in the form of a research project to evaluate its own, national 'Milieubeleidsplan voor de Scheepvaart' (environmental policy plan for shipping). In this project, (1) 10 years of BBS data were computerized and analysed, (2) the statitistical validity of the information collected during beached bird surveys was evaluated by means of a power analysis and (3) the surveys were continued in 1994/95. The Institute of Forestry and Nature Research was ordered to produce a report on these matters, based on data collected by the Dutch Seabird Group, and CSR Consultancy acted as a sub-contractor to perform the project. In this report, the results of beached bird surveys over 1986-95 are summarized (chapter 2), it provides the results of a power analysis (chapter 3) and discusses the use of BBS results for policy makers (chapter 4). BBS results 1986-95: In 1986-1995, the highest oil rates were found in divers, grebes, Gannet, scoters, Kittiwake and auks (table 4). Oil rates were significantly higher in winter (November-April) than in summer and it was concluded that these data sets should not be mixed in further analysis. In this report, 'winter oil rates' were provided, unless otherwise stated. A clear exception is the comparison of oil rates found in 1969-85 and 1986-95 (tables 8 & 14), because in the former period 'winter surveys' could not easily be separated from summer surveys. The oil rate found in 1986-95 was lower than the oil rate found in 1969-85 and this was concluded for all species and species groups of birds. Compared to other North Sea countries, the oil rate in The Netherlands is still very high. Most of the oil found on Dutch beaches and stranded birds in The Netherlands originated from operational discharges by ships (bilge oil and engine-room residues); crude oil was rarely encountered. Numbers of seabirds washing ashore are subject to massive fluctuations from year to year and month to month, caused by a variety of factors including variable bird densities at sea, residual currents, prevailing winds, and several mortality factors. The variation in oil rates, specific for species, groups of birds and certain areas, is minimal compared to the variations in overall numbers. The oil pollution of beaches showed the same seasonal pattern as oil rates in stranded birds (figure 2) and the frequency by which polluted beaches were reported has not changed since registrations began in the early 1980s. Recording trends in marine oil pollution: using oil rates: One objective of the Beached Bird Survey (BBS) is monitoring the amount of oil pollution of the sea by assessing the fraction of oiled objects on a beach. BBS results are a derivative of a direct census of the occurrence of oil, with some very strong points because of its scale (all Europe), cost (with partly volunteer schemes rather low budgets are possible) and the length of its time series. In most countries, data are available over the last two or three decades, with unchanged methods, forming a unique data set which can readily be explored and which may form an additional source of information to other, perhaps more direct measurements. Ideally, an experiment would be set up in which clean pieces of cloth or whatever were released into the sea in huge numbers, to be recovered on the beach. The fraction (%) of oiled objects, the oil rate, would represent the chance for the pieces of cloth to become oil contaminated in that particular sea area. The same experiment in The Netherlands and in Shetland would result into a totally different oil rate (very low in Shetland, very high in The Netherlands). It has been suggested, that the recovery of beached birds is in fact such an experiment because the frequency of oiling of stranded seabirds is a reflection of the chance to become oil contaminated. However, if birds would ónly die at sea becaused of oil, the oil rate on the beach would be meaningless. If birds would never die because of oil, but get oil in their feathers while dead and afloat, the oil rate would be precisely what was wanted. Assuming that, generally speaking, a minority of the birds recorded on beaches died because of oil and considering that there is a linear relationship between the desired oil rate 'r' and the oil rate recorded on the beach 's' (figure 12), the BBS will serve as an accurate tool to measure trends in oil pollution, but a less accurate tool to work out 'true' levels of oil at sea. If methods within countries remain unchanged also in the future, results of trends in different schemes can readily be compared in space and time. Results of the power analysis: The assumption is made that the fraction of all beached birds that is oil contaminated is in someway related to oil-pollution. This leads to the question: is there a significant trend over years in the fraction of oiled birds (and hence in oil pollution). This note is concerned with the statistical power of appropriate trend tests. The power (1-) is the probability that a trend, if present, will be detected as statistically significant. It depends on the size of the trend, the error variance, the number of years (n), and the size of the test (formula). Presumably the fraction of oiled birds (y) has some s-shaped relation with some index of oil-pollution (x) (figure 11). A widely used mathematical representation of such s-shaped curve is the logit function: formula (1). The analysis focuses on this index of oil pollution, which equals (as follows from (1)): formula (2). Figures 14 (Guillemot) and 15 (Razorbill) show time series of the observed index x and the fitted linear trends (by least-squares estimation) for several countries (h The Netherlands, d Denmark, g Germany, n Norway, s Shetland). Table 10 gives the residual mean squares, which can be used as estimates of the error variances. These residual mean squares are in the same order of magnitude for the various countries and do not show any relationship with the size of the average index. This >homogeneity of variances' is a desirable property as it is one of the assumptions of the underlying regression model. The untransformed data, i.e. the fraction of oiled birds do not show this property. For the Guillemot the error variance is about 0.49, i.e. an error standard devaition of about 0.7. Table 10 also gives the estimated slopes and the accompanying P-values. If, as a side-step, we consider the case that the true x=0, which implies that the true y= 0.5. Then, an error standard deviation of 0.7 for the observed x is equivalent to an error standard deviation of 0.175 (0.7/4) for the observed y, as formula (3). If the error variance would be solely due to a binomial sampling error (which equals formula (4), where is the independent probability that a bird is oiled, i.e. the true y), then such error variance would be obtained by sampling only 8 birds (which follows from formula (5). In practice the number of birds that have been observed is much larger. Hence, this little excercise showed that the observed error is probably not due to sampling error but to >real' deviations of the >true' yearly means from the linear trend. It supports our choice for the use of a least-squares approach. As the test of the regression slope is, in fact, a one-sample t-test, the power can be relatively simply calculated by using the cumulative Student's t-distribution function (tcf, with n-2 degrees of freedom), where the effect size d is expressed as the size of the trend (the slope of the regression) divided by its standard error (which follows from the estimated error variance and the number of years that will be sampled). Hence the power equals formula (6). Figure 16 gives as an example the power as a function of the number of years for slope=-.11 (h) and slope=-.24 (g) with an error variance of 0.49 (as is about true for the Guillemot). It says that a decrease in oil-pollution as observed in Germany (-.24) will be detected with a probability of 90% after 12 years. The same procedure was followed using data collected in The Netherlands during 1986-95 (figures 17-20, tables 11-12) and using a slightly longer set of data which was available for Noord-Holland, a small part of the country (figures 21-22, table 13). The results showed declines in oil rates all over, and the probablity to find significant results with a certainty of ca. 75% within 13-17 years. The longer data set used illustrated that this was indeed the case: all delines were significant trends. The conclusion from the analysis was that BBS results are sensitive and useful to detect even minor trends in the frequency of occurrence of oil on the corpses. Conclusions and recommendations for further research: Oil rates in beached birds in the Netherlands have consistently declined over the last 10 years and are now lower than before (table 14). The trends found over the last decade were quite weak and not significant, but can be expected to be so over a slightly longer period. The trends in different groups of birds (estuarine, coastal and offshore species; figure 27) run more or less parallel. If the oil rates found represent the chance for (corpses of) birds to become oil contaminated, and if this chance is mainly affected by the amount of oil at sea (number of slicks, densities, quantity of oil released), than a decline in oil rates on the beach would imply a decline in the amount of oil at sea. If we assume that other factors influencing the chance for birds to become oiled are (on average) constant, than, on the basis of beached birds, the amount of oil released into the southern North Sea would have declined by at least 20% since 1986. Future research will have to focus on several species and/or groups of species simultaneously to avoid problems caused by certain mortality incidents in individual species. Densities will have to be measured to enable a fair judgement of drops or jumps in oil rates. At the same time, background information needs to be collected for all species used in the monitoring programme, again to make sure that the oil rate found is not influenced by circumstances which are particular for any of the individual species. key species in future monitoring in The Netherlands would be Guillemot, Razorbill, Kittiwake, Fulmar, Gannet, scoters and Larus-gulls. It is concluded that more historical data will need to be computerized to enable further analysis of trends in oil rates, including information collected prior to the date when MARPOL Annex I was effectuated (October 1983). A continuation of the monitoring programme will focus on the winter period (November-April). It is strongly recommended to include a sampling programme to assess the different types of oil on beaches and beached birds. Such a programme would also provide information on the occurrence of other chemical substances and non-mineral oils.
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Overview of the results of beached bird surveys in The Netherlands to monitor the effects of chronic oil pollution. Comprehensive review.
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This report was commissioned by the North Sea Directorate, Ministry of Transport, Public Works and Water Management. CSR Report 2004-012 (Revised edition) as input to the review of the advanced EcoQOs under the North Sea Pilot Project. This report provides a history of international conventions to prevent oil pollution of the seas and how the EcoQO became established within the framework of a Special Area status of NW European Waters under MARPOL Annex 1. In the next part, research techniques and modifications to existing beached bird survey monitoring schemes are highlighted. Subregions for international data analysis are proposed. The report subsequently reviews recent existing data on oil rates in Common Guillemots in the North Sea and the preparedness of different countries to participate in the oiled-Guillemot EcoQO. The sources of (chronic) oil pollution are briefly outlined and measures to further reduce pollution levels are discussed. A budget for the Oiled Guillemot Eco-QO is attached, but without reservations for a study of types of pollutants (sampling oiled substances from seabirds). A (field) manual is provided as an annex to this document. In spring 2004, ICES WGSE suggested that the EcoQO should be reformulated as: The average proportion of oiled common guillemots should be 10% or less of the total found dead or dying in each of 15 areas of the North Sea over a period of at least 5 years. Sampling should occur in all winter months (November to April) of each year.
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The Oiled-Guillemot EcoQO describes the proportion of oiled Common Guillemots Uria aalge among those found dead or dying on beaches within the OSPAR area. As a result of chronic marine oil pollution, many thousands of seabirds wash ashore on beaches every year. Systematic beached bird surveys (BBS) provide an insight into species composition and oil rates (% of birds oiled of all birds found dead) and these surveys have been conducted since the early 1960s to study temporal and spatial trends in oil-related mortality in most countries bordering the North Sea. Spatial patterns in Common Guillemot oil rates reflect different levels of chronic marine oil pollution around the North Sea, whereas temporal trends in oil rates are indicative for changes in these levels over time. Common Guillemots have been selected because they are highly vulnerable to oil pollution, and are sufficiently abundant and widespread that sample sizes (number of corpses checked) each winter and in all participating countries should be large enough for statistical analysis. Oil rates are species- and area-specific, but also vary seasonally and can even be age-specific (annual natural mortality of juvenile Guillemots is proportionally higher than in adults). The use of scavenged or otherwise incomplete corpses (`remains') found on beaches may bias the results. For reasons of consistency, participants are therefore asked to systematically search for Guillemots between November and April, to identify the birds they find, to check the corpses for missing parts, to age the birds according to standardised ageing techniques, and to carefully check for oil in the feathers. The Oiled-Guillemot EcoQO is not only meant to monitor current patterns in oil rates, but also to check if set targets are actually reached. In the most polluted parts of the North Sea, currently over 50% of the Guillemots found on beaches are oiled. Even although this means a considerable improvement in comparison with the 1960s, 1970s and even 1980s, such levels are considered unacceptable. Law enforcement, perhaps in combination with new measures to minimise chronic oil pollution at sea, should lead to further reductions, so that: The average proportion of oiled Common Guillemots in all winter months (November to April) should be 10% or less of the total found dead or dying in each of 15 areas of the North Sea over a period of at least 5 years. This Implementation Document describes the type of information collected as part of the Oiled-Guillemot EcoQO. Annual reports will be compiled based on data submitted by particants working in 15 subregions around the North Sea. National or regional co-ordinators will collect these data through volunteer networks (as in BBS schemes currently operating), by providing adequate instructions to those volunteers (field manuals). They will be responsible for ensuring that surveys take place, for receiving, checking and summarising data, and for sending their data by June to the International Co-ordinator for inclusion in an annual report.
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Many studies have shown that seabirds are sensitive to changes in food supply, and therefore have potential as monitors of fish stocks. For most seabird species breeding parameters suitable for biomonitoring have yet to be measured over a wide range of prey densities. However, it is clear that responses vary among species and care must be taken when interpreting seabird data as a proxy for fish abundance. For many years seabirds have also been used as monitors of pollution, especially oil pollution. Beached bird surveys provide important evidence of geographical and temporal patterns, and, for example, show consistent declines in oil release into the southern North Sea over the last 15 years. Analysis of oil on birds can now permit fingerprinting of sources, allowing prosecution of polluters. As predators high in marine food webs, seabirds also have potential as monitors of pollutants that accumulate at trophic levels. Recent work on mercury in seabirds has permitted an analysis of spatial patterns and of the rates of increase in mercury contamination of ecosystems over the last 150 years, since mercury concentrations in feathers of museum specimens can be used to assess contamination in the birds when they were alive. Surprisingly, pelagic seabirds show higher increases than most coastal ones, and increases have been greatest in seabirds feeding on mesopelagic prey. This seems to relate to patterns of methylation of mercury in low-oxygen, deeper water. Accurate measurement of long-term trends in mercury contamination depend on the assumption that seabird diet composition has not changed. This can be assessed by analysis of stable isotopes of N and C from the same feathers used for mercury measurement, a technique that also permits the monitoring of trophic status over time or between regions. While high mercury contamination of seabirds in the southern North Sea is unsurprising, we cannot yet explain certain unexpected results, such as high levels in seabirds from north Iceland compared with those from south Iceland or Scotland.
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Large numbers of seabirds may be killed from time to time by individual incidents of oil pollution, and throughout the year, especially in winter, dead seabirds, many of them oiled, are washed up on our shores. These dramatic events have given rise to a great deal of public concern about the effect of oil pollution on the wellbeing of seabird populations. It is important to consider this question from the point of view of population dynamics of seabirds so as to determine whether or not the observed mortality is substantial and additional in relation to the natural mortality. Such an approach requires detailed information on the distribution and numbers of seabirds at breeding colonies and at sea in their pre-breeding years, in association with their breeding activities and also in their `wintering' areas. While the data from breeding colonies provide censuses of breeding birds in defined geographical areas, movements and dispersal of breeding birds result in great uncertainty about their distribution and abundance while at sea. Since many oil polluting incidents, and much of the chronic oil pollution, affect birds while they are at sea, it is very difficult to asess the size and the provenance of the populations of various species that are actually at risk. Some evidence about the numbers of birds killed by oil and other causes can be obtained from both the beached bird survey, which are carried out monthly throughout the winter, and also from the recoveries of ringed birds. These sources of evidence give rather different results, but both are subject to difficulties of interpretation. Most seabirds are long-lived, with low mean annual adult mortality rates, and many of them do not breed until they are several years old. An attempt is made to relate the numbers of birds found dead, and the numbers oiled to the numbers that might be expected to die according to the measured rates of annual mortality. Again there are very considerable problems in attempting to relate these two sets of information. However, it seems that in western European waters the numbers killed by oil pollution is in tens of thousands per winter on average, while the number expected to die naturally is in hundreds of thousands per year. It is not known whether or not oil-induced mortality is additional to natural mortality. It is also pointed out that current environmental circumstances seem favourable and that the present resilience of populations may not persist if conditions change. Emphasis is placed on the very large numbers of pre-breeding birds and the need for information on the means by which they are recruited to breeding colonies. Recent monitoring of the numbers of breeding seabirds throughout Britain shows that most populations are increasing.