What makes for a truly surprising BTO longevity record?



n.b. Don't take the probabilities in this blog too seriously, this is mostly a bit of fun

    Few life history traits attract more popular attention than longevity records, particularly those of the longest lived or extreme species. Wisdom, a Laysan Albatross on Midway Atoll, is the world’s current oldest known wild bird at 70 (link), but these metrics do have their uses beyond their ability to come up in your next pub quiz, as they are sometimes used to inform population models. Extreme longevity records, such as Wisdom’s, easily catch the eye but we may not be able to immediately contextualise how extreme these records actually are in isolation. Longevity varies widely between species groupings, and as a result far shorter absolute longevities in a small passerine may be equally as impressive as the Manx Shearwater longevity of 50 years 11 months and 21 days. 

If you want to skip the math background, you can skip the next section

The maths of longevity

    So, how can we spot longevity records that are truly surprising? Fundamentally, how long you live (at least at the population level) is a game of chance. An individual is born, and we roll a dice, roll a 1 and you survive to your first birthday. Then you roll the dice again, roll a 1 again and you live to your second birthday, and so on. Each year, your chance your streak of 1’s continuing goes down, until eventually you don’t roll a 1 and your days are over. The kicker is some species are rolling dice with more sides than others and the number of sides your dice has changes as you age (hopefully your dice doesn’t have many sides!).

    This is the basis for survival rates: an adult survival rate of 0.5 says there is a 50% chance you live to your next birthday each year as an adult. We usually represent these as two numbers for birds, a juvenile survival rate, and an adult survival rate after maturity. We have the adult survival rate as a fixed number for simplicity, but we know this rate is likely to fall in old age due to senescence. These numbers can help inform us about fundamental characteristics of populations which can help with conservation actions, but we are going to use them for a different purpose. If we take species with a juvenile survival rate of 0.3 and an adult survival rate of 0.5 which starts in its second year, the probability of reaching a longevity of 1 year is 0.3 (or 1 in 3.33). The probability of reaching age 2 is the probability of reaching age 1 times the adult survival rate, so 0.3 x 0.5 = 0.15 (1 in 6.67). For age 3 it’s the probability of reaching age 2 times the adult survival rate: 0.15 x 0.5 = 0.075 (or 1 in 13.33). So, 1 in 13.33 individuals from that species would reach age 3. 

     Let’s expand this to all the species in which we have these survival rates for. The BTO have both the juvenile and adult survivals on the BTO Bird Facts (link) pages for 111 species (sadly, many of our favourites are missing. More RAS or targeted ringing projects will help fill these gaps, and we particularly need juvenile survival rates!). We have adult survival estimates for many more, but really, we need juvenile rates too for our aim. You can use this formula I wrote to quickly calculate the probabilities (the 1 in x chance way of saying it is just 1 divided by the probability): 

Probability of longevity = (J*A)*A^(L-K-1) 

J is juvenile survival to year K, A is adult survival, and L is the current longevity record (in years).

BTO longevity probabilities

    This spits out a series of probabilities of reaching the current longevity record. The big caveat here is they are very sensitive to changes in the survival estimates, and those estimates being correct! These estimates are often based on single populations, which maybe don’t translate to all other populations. They may also be outdated, and survival rates in declining species or populations will tend to be lower. In some cases, they may be based on populations that aren’t even British (more on that later). Reassuringly, we get quite a steady baseline of probabilities with a handful of outliers. In the first plot, the labelled outliers are unlikely longevities, on the second plot the labelled outliers are the longevities that are more likely to be achievable.

Labelled outliers (left to right): Carrion Crow, Fieldfare, Red Kite, Sedge Warbler, Shoveler, Snipe 

Labelled outliers (left to right): Black Grouse, Capercaillie, Common Sandpiper, Golden Eagle, Guillemot, Honey Buzzard, Spotted Flycatcher, White-tailed Eagle.

How unlikely is too unlikely? 

    Extreme rare chance events can be difficult, if not impossible, to conclude that they could not have happened. It’s tempting to brush off these extreme longevity chances as incorrect based on either: 1) Inaccurate survival estimates or 2) Mistakes (e.g. ring misreads). Is that fair though? A third option is it was just genuinely a freak unlikely event. To put the longevity chances into context, odds of winning the UK lotto are 1 in 45,057,474 (a probability of ~2.22 x 10-8) which is far less likely than even the biggest outlier in the BTO longevity records (1 in 980,392 for Carrion Crow). Yet, we know that Lotto winners happen relatively frequently (20 jackpot wins in 2020) so raw odds can only tell us a limited amount. There were 1,889,331,342 lines of Lotto played in 2020, so the odds would tell you you’d actually have expected 42 jackpot wins that year (an unlucky year perhaps, or the numbers people choose aren’t actually completely random!). 

BTO longevity probabilities - corrected for number ringed

    Evidently, we need to account for the number of times we have ‘tried’ to set a longevity (i.e., the number of birds ringed). This isn’t perfect because some species will be reencountered at different rates than others (don’t forget reencounters aren’t just re-trapping birds though). So, we multiply the total number of individuals ringed within the BTO scheme between 1909–2019 by the longevity probability and take another look at our outliers. 

Labelled outliers (left to right): Carrion Crow, Shoveler 

Labelled outliers (left to right): Black-headed Gull, Blackcap, Blue Tit, Common Tern, Great Tit, Guillemot, Herring Gull, Siskin, Spotted Flycatcher

    What can this tell us? Well, nothing concrete. Although it does flag species whereby we may want to question the survival estimates (have they changed, are they particularly variable between populations, etc.) or if you’re of a disbelieving nature, maybe you’ll be tempted to assume a mistake was made. Those species that are no longer outliers (compared to the previous plots) we can in part put down to number ringed, so species such as Capercaillie and Black Grouse had low longevities because so fe are ringed, so they might be ripe for a new longevity record in the near future for people ringing them (although finding a Capercaillie in my Norfolk mist nets would be slightly surprising!). Conversely, Sedge warbler no longer being an outlier might just be down to us ringing loads of them! We also see a few species creep in as outliers like Blue Tits and Great Tits (where huge numbers have been ringed), where the longevity record is quite likely to have been achieved with the extremely high numbers ringed. 

Europe-wide longevity probabilties

    OK, what about some European-wide longevities? With these we cannot control for number ringed, as that information isn’t publicly available for Europe as a whole. It also comes with an even stronger caveat of BTO survival estimates potentially not being applicable (survival rates are likely to differ between the UK and mainland Europe). So, let’s just look at those raw probabilities:

Labelled outliers (left to right): Common Sandpiper, Guillemot, White-tailed Eagle

    The general baseline of probabilities Europe-wide is lower than for the UK alone. We would expect that because the number of ‘attempts’ (i.e. number ringed) at setting longevity will be considerably higher, so those rare longer longevities are more likely to have happened. Kingfisher is the run-away outlier, with an incredible 1 in 530,152,400,000 (that’s ~530 billion) chance of reaching that longevity (a bonkers 21 years compared to our 4.5-year record) based on the survival estimates (that are from a British population). When we exclude that individual, we still get a set of other outliers: 

Labelled outliers (left to right): Dunnock, Fieldfare, Robin, Sedge Warbler, Tufted Duck

    For Kingfisher, the second highest longevity is actually19 years with a 1 in 41,563,970,000 (~41.5 billion) chance. This further indicates that survival rates of Kingfisher must be higher on the continent (the two highest records came from Belgium and Sweden respectively). If our survival estimates were correct for the mainland, the chance of both of these two longevities happening (assuming they are independent events) would be 1 in 22,035,238,000,000,000,000,000 (that’s 1 in 22 Hextillion, you’re more than 1 million times more likely to win the Lotto jackpot… twice). 

    Finally, let’s take a look at the amazing longevity record for Common Whitethroat recently set in Italy of 19 years (the rest of our longevity records we have looked at are a couple of years out of date). If we plug that longevity in, we get a 1 in 75,843,876 chance. For reference, the British record is just 8 years (1 in 2,477 chance). What can we say about this record? If our survival estimates were correct for that Italian population, it was pretty unlikely but it’s no Kingfisher and there are a handful of other species in Europe with equally unlikely longevities based on our survival estimates. Maybe mainland Common Whitethroat survival is just higher than ours? Well, the Italian adult survival rate (the value that has the highest impact on long-term longevity probabilities) for Common Whitethroat would need to be 0.695 for that 19-year record to be equally likely as our longevity record in the UK. That would be a very high adult survival rate for a warbler, but our longevity record is reasonably easy to achieve based on our survival estimates. What am I trying to say here? I don’t think it’s my place to throw doubt on the record, but I do think it’s right to point out the chance of reaching that longevity was pretty slim. Questioning results is a cornerstone of science, but we shouldn't just write records off out of hand.

    If nothing else, hopefully this all highlights the importance of accurate survival estimates when scientists require them and why collecting data so that we can measure these things (through RAS schemes) can be so valuable.


Table of data:

SpeciesBTO LongevityJuvenile
survival
KAdult
survival
Longevity
Probability
European longevity
(nearest year)
EU Longevity
Probability
Arctic Skua    25 years 10 months 24 days0.6810.8860.032987694310.018010284
Avocet    24 years 8 months 21 days0.4110.780.001054519280.000500424
Barn Owl    15 years 3 months 21 days0.3710.720.003722688180.001389486
Bewick's Swan    28 years 1 month 27 days0.6620.8220.004038417280.004038417
Black Grouse    3 years 9 months 18 days0.4610.720.17169408120.012399817
Black-headed Gull    32 years 3 months 26 days0.44720.90.018948848330.017053963
Blackbird    15 years 2 months 5 days0.56410.650.001355396226.64x10^-05
Blackcap    10 years 8 months 15 days0.35610.4360.001355396147.32x10^-06
Blue Tit    9 years 8 months 16 days0.37910.5320.001293731120.000366157
Bullfinch    9 years 2 months 9 days0.33410.4190.000317292139.78x10^-06
Buzzard    30 years 5 months 21 days0.6330.90.036634334300.036634334
Canada Goose    31 years 10 months 29 days0.75910.7243.41x10^-05323.41x10^-05
Capercaillie    3 years 6 months 8 days0.510.720.18662490.036110207
Carrion Crow    20 years 10 months 7 days0.4910.521.02x10^-06211.02x10^-06
Chaffinch    13 years 11 months 26 days0.53110.5890.000545247160.000189158
Chiffchaff    7 years 7 months 24 days0.22210.3065.58x10^-0585.58x10^-05
Chough    23 years 11 days0.4310.80.00317284230.00317284
Common Gull    27 years 10 months 22 days0.2530.860.005759719340.002330194
Common Sandpiper    15 years 1 month 5 days0.5710.8440.053048011150.053048011
Common Tern    33 years 6 days0.4720.90.01793146330.002709527
Coot    15 years 3 months 13 days0.3810.7010.002629274210.000311992
Cormorant    21 years 6 months 21 days0.5810.880.03958805320.011025311
Curlew    32 years 7 months0.4710.8990.015574281330.015574281
Dunlin    19 years 3 months 26 days0.7410.740.003276443290.000161332
Dunnock    10 years 7 months 23 days0.34710.4730.00019451211.09x10^-07
Eider    35 years 6 months 26 days0.3310.9160.015305782370.014020096
Fieldfare    14 years 8 months 24 days0.3110.411.18x10^-06188.10x10^-08
Gannet    37 years 4 months 16 days0.340.9190.018472817370.018472817
Garden Warbler    10 years 1 month 6 days0.26510.50.000517578143.23x10^-05
Golden Eagle    16 years 1 month 9 days0.1540.950.081054013320.035674033
Goldfinch    10 years 2 days0.33710.3714.49x10^-05148.50x10^-07
Goshawk    18 years 8 months 27 days0.420.830.016841763220.009629901
Great Skua    38 years0.810.8880.009871195380.009871195
Great Tit    10 years 5 months 18 days0.3810.5420.00153383157.17x10^-05
Greenfinch    11 years 3 months 24 days0.41610.4430.000121096141.05x10^-05
Grey Heron    23 years 9 months 2 days0.2620.7320.016841763383.45x10^-06
Grey Partridge    5 years 2 months 13 days0.2210.550.02013137550.020131375
Grey Plover    25 years 1 month 18 days0.6310.860.016877316260.014514492
Guillemot    40 years 11 months 23 days0.5610.9460.060790188430.054402111
Hen Harrier    15 years 9 months 2 days0.2220.810.011513648170.009326055
Herring Gull    32 years 9 months 25 days0.6340.880.015464577350.011975768
Hobby    14 years 10 months 19 days0.4710.7450.007625805150.007625805
Honey-buzzard    12 years 11 months 21 days0.41920.860.079743811290.007139572
House Martin    7 years 1 month 12 days0.14510.410.000688765155.50x10^-07
House Sparrow    12 years 12 days0.48910.5710.001028741201.16x10^-05
Jackdaw    18 years 26 days0.39720.6940.001149588200.000553683
Jay    16 years 9 months 19 days0.610.590.000129355170.000129355
Kestrel    15 years 11 months 1 day0.3210.690.001224296200.000277513
Kingfisher    4 years 6 months 29 days0.21510.280.00132151211.89x10^-12
Kittiwake    28 years 6 months 5 days0.7910.8820.02348267290.02348267
Lapwing    21 years 1 month 15 days0.59510.7050.000547393250.000135225
Lesser Whitethroat    9 years 2 days0.35510.3294.87x10^-0594.87x10^-05
Linnet    8 years 3 months 25 days0.3410.3710.00032892590.000122031
Little Egret    13 years 6 months 12 days0.3210.7120.00386714220.000255405
Little Owl    13 years 10 months 3 days0.310.650.001109162140.001109162
Little Tern    25 years 8 days0.57810.8990.04489112250.04489112
Long-eared Owl    12 years 10 months 12 days0.4810.690.005590238180.000874331
Long-tailed Tit    8 years 11 months0.25110.4430.000372309117.31x10^-05
Magpie    21 years 8 months 23 days0.410.690.000165155220.000165155
Mallard    20 years 5 months 17 days0.51810.6277.28x10^-05231.80x10^-05
Manx Shearwater    50 years 11 months 21 days0.2550.9050.002533814510.002533814
Marsh Harrier    13 years 3 months 8 days0.15130.740.007435226200.000903475
Marsh Tit    11 years 3 months0.1910.479.99x10^-05132.21x10^-05
Merlin    12 years 8 months 17 days0.2310.620.000742041130.000742041
Mistle Thrush    11 years 4 months 9 days0.5710.6210.00486173214.15x10^-05
Mute Swan    29 years 1 month 11 days0.4230.850.006139618290.006139618
Osprey    20 years 11 months0.610.850.023255719270.008770883
Oystercatcher    41 years 1 month 5 days0.3950.880.003912378430.003029745
Peregrine    21 years 10 months 24 days0.610.810.007183509220.007183509
Pied Flycatcher    9 years 7 days0.3710.470.000881018110.000194617
Pied Wagtail    11 years 3 months 21 days0.38610.4850.000277974143.17x10^-05
Pink-footed Goose    38 years 7 months 7 days0.77530.8290.000906285410.000622836
Pochard    22 years 10 days0.5510.656.48E-05234.21x10^-05
Razorbill    41 years 11 months 23 days0.3840.90.006934241420.006934241
Red Kite    25 years 8 months 28 days0.510.612.15x10^-06262.15x10^-06
Red-throated Diver    35 years 11 months 23 days0.3720.840.000985593360.000985593
Redpoll    8 years 5 months 22 days0.43110.4250.001079443123.52x10^-05
Redshank    20 years 1 month 15 days0.4310.740.001408871270.000171196
Reed Bunting    9 years 11 months 18 days0.47410.5420.001913251120.000562044
Ring Ouzel    9 years 13 days0.3610.420.00034857590.000348575
Robin    8 years 4 months 30 days0.4110.4190.00092957196.50x10^-08
Rock Dove    7 years 8 months 25 days0.5710.6650.03278131580.032781315
Rook    22 years 11 months0.2510.790.001398737240.001105002
Sand Martin    7 years 9 months 1 day0.21510.34.70x10^-05104.23x10^-06
Sandwich Tern    30 years 9 months 14 days0.35810.8980.014196233310.014196233
Sedge Warbler    8 years 8 months 8 days0.2510.2241.58x10^-06121.78x10^-08
Shag    29 years 10 months 25 days0.3820.8780.009945578310.008732218
Shelduck    19 years 7 months 27 days0.16620.8860.018789494250.010258496
Shoveler    22 years 7 months 24 days0.3810.582.37x10^-06232.37x10^-06
Siskin    8 years 6 months 10 days0.44910.4610.001986794141.91x10^-05
Snipe    16 years 19 days0.4810.4818.19x10^-06168.19x10^-06
Song Thrush    11 years 8 days0.46310.5630.001481375182.66x10^-05
Sparrowhawk    17 years 1 month 11 days0.3410.690.000897562200.000294857
Spotted Flycatcher    8 years 3 days0.46510.4930.106462315110.000394387
Starling    17 years 7 months 25 days0.51810.6870.000876182230.000134084
Stock Dove    9 years 2 months 12 days0.410.550.003349358130.000306487
Stone-curlew    22 years 4 months 1 day0.60610.8320.012736863220.012736863
Swallow    11 years 1 month 11 days0.39510.3742.12x10^-05112.12x10^-05
Tawny Owl    23 years 5 months 27 days0.30110.7380.000376536230.000376536
Tufted Duck    24 years 3 months 13 days0.6310.710.000238937451.80x10^-07
Turtle Dove    11 years 2 months 15 days0.3610.50.000351563138.79x10^-05
Whinchat    6 years 1 month 13 days0.3410.470.0077977370.003664933
White-fronted Goose    18 years 9 months 22 days0.59610.7240.001780494250.000256432
White-tailed Eagle    16 years 9 months 10 days0.39530.9360.156480051330.054309094
Whitethroat    7 years 9 months 5 days0.28910.3910.00040377190.000157874
Willow Tit    10 years 4 months 18 days0.5910.630.00922395110.005811089
Willow Warbler    10 years 11 months 18 days0.23910.464.66x10^-05110.000101386
Woodcock    15 years 5 months 12 days0.3610.610.000355566160.000216895
Woodlark    7 years 2 months 1 day0.2210.60.0102643270.01026432
Woodpigeon    17 years 8 months 19 days0.5210.6070.000107204180.000107204
Wren    7 years 3 months 6 days0.26310.3190.0002771470.00027714
Yellow Wagtail    7 years 1 month 14 days0.46310.5330.01061559390.003015773
Yellowhammer    11 years 9 months 28 days0.52910.5360.000554969130.000297463










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