| BBWC
Home > Contents > Methodology
> Nest Record Scheme
2.6
Nest Record Scheme
The BTO's Nest Record Scheme
is the largest, longest running and most highly computerised of such schemes in
the world and possesses the most advanced and efficient techniques of data gathering,
data capture and analysis. There are currently more than a million records held
by the Trust, of which 35% are computerised.
The primary aim of the Nest
Record Scheme is to monitor the breeding performance of a wide range of UK birds
annually as a key part of the BTO's data collection. Annual reports are published
(e.g. Crick et al. 2000)
and the significant results communicated immediately to JNCC. Another primary
aim is to undertake detailed analyses of breeding performance of species of conservation
interest (e.g. Brown et al. 1995,
Crick et al. 1994, Crick
1997, Peach et al. 1995).
The Nest Record Scheme gathers
data on the breeding performance of birds in Britain and Ireland through a network
of volunteer ornithologists. Each observer is given a code of conduct that emphasises
the responsibility of recorders towards the safety of the birds they record and
explains their legal responsibilities. These observers complete standard nest
record cards for each nest they find, giving details of nest site, habitat, contents
of the nest at each visit and evidence for success or failure. When received by
the BTO staff, the cards are checked, sorted and filed away ready for analysis.
Those for Schedule 1 species are kept confidential. (These are species protected
from disturbance at the nest by Schedule 1 of the Wildlife & Countryside Act
1981: they are generally rare species and the location of their nests may need
to be protected from egg collecting (an illegal activity) or other potential disturbance.
To visit the nests of these species a special licence is required.). Computer
programs developed by BTO check the data for errors and calculate first-egg-date,
clutch size, nest loss rates at egg and chick stages. Data are computerised according
to priorities for population monitoring and for specific research projects.
Currently the BTO collects
a total of more than 30,000 records each year for around 180 species. Typically,
there are more than 150 records for 55 species and more than 100 for a further
10-15 species. The quality of records improved substantially in 1990 with the
introduction of a new recording card, which promotes greater standardisation and
clarity in the information recorded by observers. The general distribution of
Nest Record Cards is patchy at the county scale but is more even over larger regions
of the UK. Overall, Northern Ireland and parts of Scotland (southeast, Western
Isles) and parts of England (west midlands, southwest) have relatively low coverage,
often reflecting observer density. A major analysis of trends over time in various
aspects of breeding performance found relatively few differences between major
regions in the UK, when analysed using analysis of covariance (Crick
et al. 1993). Habitat coverage is broad, as the scheme receives
records from all the UK's major habitats. Most records come from woodland, farmland
and freshwater sites, but the scheme also receives data from scrub, grassland,
heathland and coastal areas.
Data Analysis
Five different variables were analysed for this report: laying date (where day
1 = January 1); clutch size; brood size; and daily nest failure rates during egg
and nestling stages, calculated from the methods of Mayfield
(1961, 1975) and Johnson
(1979).
In order to minimise the
incidence of errors and inaccurately recorded nests, a set of rejection criteria
was applied to the data: laying date only included cases where precision was within
±5 days; clutch size was not estimated for nests which had been visited only once,
for nests which were visited when laying could still have been in progress, or
for nests which were only visited after hatching; and maximum brood size was calculated
only for nests which were observed after hatching. The last variable is an underestimate
of brood size at hatching because observers may miss early losses of individual
chicks; it differs from clutch size because eggs may be lost during incubation
and hatching success may be incomplete.
Daily failure rates of whole
nests were calculated using a formulation of Mayfield's
(1961,1975) method as a
logit-linear model with a binomial error term, in which success or failure over
a given number of days (as a binary variable) was modelled, with the number of
days over which the nest was exposed during the egg and nestling periods as the
binomial denominator (Crawley 1993,
Etheridge et al. 1997,
Aebischer 1999). Number of exposure
days during the egg and nestling periods was calculated as the midpoint between
the maximum and minimum possible, given the timing of nest visits recorded on
each Nest Record Card (note that exposure days refer only to the time span for
which data were recorded for each nest and do not represent the full length of
the egg or nestling periods). Each calculation assumes that failure rates were
constant during the period considered. Violations of this assumption of the Mayfield
method can lead to biased estimates if sampling of nests is uneven over the course
of each period. It is unlikely that any such bias would vary from year to year,
so although absolute failure rates may be biased, annual comparisons should be
unaffected (Crick & Baillie 1996).
In this report, therefore, we present only temporal trends in daily nest failure
rates.
Statistical analyses of
nest record data were undertaken using SAS programs (SAS
1990). Regressions through annual mean laying dates, clutch sizes and
brood sizes were weighted by sample size. Nest survival was analysed by logistic
regression. Quadratic regressions were used when the inclusion of a quadratic
term provided a significant improvement over linear regression. Linear regressions
are presented on the figures in this report, even when statistically non-significant,
for illustrative purposes.
Results are only presented
if the total sample size of records for a particular variable and species exceed
300 (i.e. mean >10 per year), and are presented with a caveat for small sample
sizes if the number of records contributing data was between 300 and 900 (i.e.
if mean is between 10 and 30 per year).
Next
Section - 2.7 The Alert System
Back
to Methodology Index
CLICK
HERE to go to the NRS section of the main BTO website
|