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The quantitative study of marked individuals in ecology, evolution ...

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EURING 2003 Radolfzell<br />

Estimat<strong>in</strong>g albatross survival: deal<strong>in</strong>g with unobservable states<br />

Christ<strong>in</strong>e M. Hunter & Hal Caswell<br />

Survival estimation for <strong>in</strong>termittently-breed<strong>in</strong>g seabirds has previously been problematic<br />

because mark-recapture methods could not account for the unobservability <strong>of</strong><br />

non-breed<strong>in</strong>g adults. New methods us<strong>in</strong>g multi-state mark-recapture frameworks<br />

have been proposed by Fujiwara and Caswell (2002) and Kendall and Nichols (2002)<br />

to deal with unobservable states. <strong>The</strong> estimability <strong>of</strong> relevant parameters for these<br />

models requires either extra <strong>in</strong>formation (e.g. by use <strong>of</strong> Pollock’s robust design) or<br />

model constra<strong>in</strong>ts (e.g. time constancy) and has been <strong>in</strong>vestigated for a number <strong>of</strong><br />

simple model structures. Here we exam<strong>in</strong>e a series <strong>of</strong> more complicated models that<br />

differ <strong>in</strong> the distribution <strong>of</strong> <strong>in</strong>ter-breed<strong>in</strong>g <strong>in</strong>tervals and that dist<strong>in</strong>guish between successful<br />

and failed breeders. For each model we determ<strong>in</strong>e sets <strong>of</strong> assumptions sufficient<br />

to make the relevant parameters estimable. Estimability <strong>of</strong> parameters for these<br />

models is <strong>of</strong> <strong>in</strong>terest for many albatross species because the length <strong>of</strong> time they rema<strong>in</strong><br />

<strong>in</strong> the unobservable non-breed<strong>in</strong>g state depends on the outcome <strong>of</strong> the last<br />

breed<strong>in</strong>g attempt. We will identify a series <strong>of</strong> models applicable to estimat<strong>in</strong>g adult<br />

survival probability and <strong>in</strong>ter-breed<strong>in</strong>g <strong>in</strong>tervals for Wander<strong>in</strong>g Albatross (Diomedea<br />

exulans).<br />

Estimat<strong>in</strong>g the chick survival <strong>of</strong> colour r<strong>in</strong>ged gulls<br />

Risto Juvaste & Jari Valkama<br />

We present a method to estimate the chick survival <strong>of</strong> <strong>in</strong>dividually colour r<strong>in</strong>ged gulls.<br />

It is based on large scale colour r<strong>in</strong>g<strong>in</strong>g <strong>of</strong> Herr<strong>in</strong>g Gulls (Larus argentatus) (HG) and<br />

Lesser Black-backed Gulls (Larus fuscus) (LBBG) <strong>in</strong> F<strong>in</strong>land dur<strong>in</strong>g 1993-2000. Altogether<br />

7,636 chicks <strong>of</strong> Herr<strong>in</strong>g Gulls and 6,045 chicks <strong>of</strong> Lesser Black-backed Gulls<br />

were r<strong>in</strong>ged with <strong>in</strong>dividually coded colour r<strong>in</strong>gs (cr). By 14 February 2003, there were<br />

42,646 sight<strong>in</strong>gs <strong>of</strong> 4,342 HG <strong><strong>in</strong>dividuals</strong> (57%) and 21,827 sight<strong>in</strong>gs <strong>of</strong> 1,669 LBBG<br />

<strong><strong>in</strong>dividuals</strong> (27%) <strong>in</strong> the database <strong>of</strong> Hels<strong>in</strong>ki R<strong>in</strong>g<strong>in</strong>g Centre. Because most <strong>of</strong> the<br />

birds were aged dur<strong>in</strong>g r<strong>in</strong>g<strong>in</strong>g by measur<strong>in</strong>g the w<strong>in</strong>g length, the estimate for survival<br />

after r<strong>in</strong>g<strong>in</strong>g can be calculated from classified EURING 2003 – Poster Session 8 percentages<br />

<strong>of</strong> total sight<strong>in</strong>gs. <strong>The</strong> method has been tested with HG and LBBG populations<br />

<strong>in</strong> F<strong>in</strong>land. It was found that due to the high percentage <strong>of</strong> cr-sight<strong>in</strong>gs, the survival<br />

<strong>of</strong> HG chicks can be estimated even <strong>in</strong> small populations. An example is a cohort<br />

<strong>of</strong> 178 chicks r<strong>in</strong>ged near Lappeenranta (SE F<strong>in</strong>land), w<strong>in</strong>gs 55 mm-335 mm,<br />

median 200 mm. Altogether there are 370 sight<strong>in</strong>gs <strong>of</strong> 72 <strong><strong>in</strong>dividuals</strong> from these birds.<br />

By simple analysis <strong>of</strong> cr-sight<strong>in</strong>gs based on l<strong>in</strong>ear regression we estimated that about<br />

125 chicks fledged. <strong>The</strong> survival <strong>of</strong> chicks dur<strong>in</strong>g the last 3- 4 weeks before fledg<strong>in</strong>g<br />

was about 50%. By use <strong>of</strong> population analysis (Popan5/Jolly- Seber/full/birth) <strong>of</strong> the<br />

sight<strong>in</strong>g data (57 sight<strong>in</strong>gs/37 gulls) from a nearby dump it was estimated that 104 <strong>of</strong><br />

the fledged birds (83%) came to the dump. Estimate is however rough. Based on the<br />

yearly sight<strong>in</strong>gs we estimate that 24 birds (SD=5.2) were still alive <strong>in</strong> the year 2001<br />

(Popan5/Jolly-Seber/dead only). In a similar analysis <strong>of</strong> LBBG-chicks r<strong>in</strong>ged at F<strong>in</strong>nish<br />

lakes dur<strong>in</strong>g years 1993-2000 (n=3,457) there was an unexpected decrease <strong>in</strong><br />

survival <strong>in</strong> the group <strong>of</strong> nearly fledged chicks. <strong>The</strong> average survival decreased nearly<br />

10% from the group 250-300 mm to the group 300-380 mm. <strong>The</strong> percentages <strong>of</strong><br />

sight<strong>in</strong>gs <strong>in</strong> these groups were 54% and 45% (χ2=5,9 df=1 P=0.015 n=940). <strong>The</strong> reason<br />

for this decrease, which is aga<strong>in</strong>st the expected trend and found <strong>in</strong> all year cohorts,<br />

will be studied by analys<strong>in</strong>g the sub-cohorts, us<strong>in</strong>g both resight<strong>in</strong>gs and recoveries<br />

<strong>of</strong> metal r<strong>in</strong>gs.<br />

49

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