Earlier today, I posted a response
on the UK Hoverflies Facebook page concerning the factors that affect data
reliability. For some unknown reason it disappeared. Rather than post again in
that medium I thought it best to tease out the issues in a more stable location
where it can be reached by a wider audience.
The issue raised was the degree to
which data reaching the Hoverfly Recording Scheme were reliable. These last
couple of days I have worked my way through the maps and phenology histograms
of the revision of the latest hoverfly atlas. That reality check revealed:
·
61 species in which there were at least one, and
often several records well outside what might be considered a reliable date
range. Often records occurred far too early in the year or far too late in the
year.
·
24 species where there was at least one data
point that needed to be questioned for its location - often much further north
than its known distribution, but in a few cases too southerly or easterly.
The breakdown of issues is listed
below against genus:
Genus
|
Phenology
|
Distribution
|
Other
|
Notes
|
Cheilosia
|
17
|
5
|
1
|
|
Chrysogaster
|
1
|
|
||
Chrysotoxum
|
3
|
2
|
|
|
Criorhina
|
3
|
|
||
Dasysyrphus
|
2
|
|
||
Epistrophe
|
3
|
|
||
Eumerus
|
2
|
1
|
|
|
Helophilus
|
1
|
1
|
1
|
|
Heringia
|
1
|
|
||
Mallota
|
1
|
Possibly larval records
|
||
Melangyna
|
4
|
|
||
Melanogaster
|
1
|
|
||
Meligramma
|
1
|
1
|
|
|
Microdon
|
2
|
1
|
Possibly larval records
|
|
Myolepta
|
1
|
Possibly larval records
|
||
Neoascia
|
1
|
|
||
Orthonevra
|
2
|
|
||
Paragus
|
1
|
|
||
Parasyrphus
|
2
|
1
|
|
|
Parhelophilus
|
1
|
|
||
Pipizella
|
2
|
|
||
Platycheirus
|
5
|
4
|
|
|
Pocota
|
1
|
|
||
Portevinia
|
1
|
|
||
Rhingia
|
1
|
|
||
Scaeva
|
1
|
|
||
Trichopsomyia
|
1
|
Single record queried
|
||
Sericomyia
|
2
|
|
||
Tropidia
|
1
|
Possibly larval records
|
||
Volucella
|
1
|
|
||
Xylota
|
2
|
1
|
|
It is possible that some of the
phenology problems relate to larval records - where the recorder has not noted
the stage of the specimen recorded. This is something that we might be able to
resolve by checking back with the authors. It will resolve some of the problems
but by no means all of them.
A highly likely second reason is
that instead of running specimens through full keys and checking against details
of phenology and biology, a record has been made by 'matching' to a picture in
a guide book. This problem is often obvious in datasets that I check manually -
lots of records of Platycheirus
immarginatus from inland sites is a bit of a give-away! Elsewhere, mistakes
are possible by experienced people using keys. For example I have seen several
specimens labelled as Melangyna
quadrimaculata that turn out to be Leucozona
laternaria.
The problem of picture matching ID
is not something confined to recent years - I'm certain it has happened ever
since the initial publication of Stubbs & Falk. It is just that as the data
become more substantial the problems also start to stand out. We have resolved
the problem of Platycheirus immarginatus
by mapping records attributed strictly to males from known reliable recorders -
it is an entirely coastal species and we suspect some misidentifications
involve Platycheirus perpallidus in places such as the Spey Valley. I think we
may also find that the distribution of Platycheirus
nielseni will prove to be strictly northern when we map males of this
species.
The question was posed: was it that
modern data are much better and show up the older data (paraphrased).
This is very complicated - the short
answer is no, but that is simplistic. Way back when recorders relied on Verrall
or Coe's keys they had few illustrations, and possibly little access to reliable
museum specimens of difficult taxa. I'm certain there are lots of dodgy records
from 100 years ago and probably to more recent dates from this source. Some
arise because of more recent species splits (e.g. some Sphaerophoria). Since the publication of Stubbs & Falk we have
seen more people getting interested in recording but have also come across a
fair amount of picture-matching. There is a classic mistake in Chinnery that
makes it possible to identify this source as the guide book!
So access to a good key does not
necessarily mean that records will be any more reliable. It is amazing how many
datasets I see where species listed include montane species from coastal
grasslands and coastal species from inland woods! I can recognise these but data
in-putters at a local records centre will not - so data we get from LRCs can be
pretty messy.
What has changed is that we now get
to see an awful lot of photographic records and start to see the sorts of
regular mistakes that are made when picture-based recording happens. The
photographic data extracted in recent years are likely to be as reliable as any
- not least because they get scrutinised by three specialists who will also
correct each other's oversights (these things happen!).
What is becoming increasingly clear
is that most hoverflies have quite distinct flight periods that will vary by a
couple of weeks between north and south, and perhaps a few days east to west
along the same latitude. A definable
flight envelope can be developed that takes this into account for different latitudes
and records that fall outside these parameters can be flagged for further investigation. It
won't solve all problems, but it helps. These are some of the 'rules' that are
being developed for 'Record Cleaner' and as time passes they will get refined.
BUT we must not deceive ourselves that there will always be a small number of
mistakes in the dataset. The bigger the dataset the less important the mistakes
are.
Changes in geographic range are more
problematic, but extreme outliers can often be picked up and checked - some
prove to be valid and a surprising addition to the knowledge. Others prove to
be erroneous. One must always retain an open mind as surprises do happen - e.g.
the recent range expansion of Callicera
rufa. Nevertheless, an odd location reported by a recorder of unknown
expertise must be investigated and treated with caution. Dubious records are
marked as 'requires verification' and do not show in the maps but remain on the
database.
So to return to the original
question: 'Could it be also that more volunteers are
recording giving better data that perhaps wasn't there with less records'? I am
inclined to say that there has probably been little change in the proportion of
dodgy records over the last 100 years. The reasons for mistakes have almost
certainly changed but one cannot escape the problem that people take short cuts
and have to learn their craft. Those who never make mistakes are few and far
between!
To my way
of thinking the important point about developing sound biological recording is
to encourage adoption of a set of straightforward rules:
i.
When you start recording the chances are that
what you encounter will be the commonest species - finding rarer species often
involves specialised field craft. So when you start beware if your first record
is a stonking rarity! It does happen but not that often.
ii.
Check your records against distribution maps and
phenology histograms - be self-critical and get records that lie outside these
parameters double checked. If the guide says it is a Scottish species and you
are in Wiltshire, maybe that is a pointer to a misidentification. If in doubt,
leave it out!
iii.
Learn to understand what can and cannot be done
from picture association - and start to read the keys - knowing the keys will
help you to understand why a particular animal is classified to a particular
place in the taxonomic order.
iv.
Develop field craft - try to understand the
ecology of your target group.
v.
When travelling to far-flung parts of the
country, remember that there are possible additions to what you normally see
and also species that you won't see.
vi.
If using photography then keep a photo voucher -
it can help to photograph specimens securely held from several angles.
vii.
Consider retaining specimens of some more
difficult groups - even if to pass them on to a specialist to identify - this
is probably the best change you have of securing long and reliable lists for
your favoured site.
viii.
Keep comprehensive records - they will help
recording schemes but may also help you to better understand your chosen
subject.
Having committed and knowledgeable people like yourself certainly makes for a better understanding of the cycle between data and phenology. The more experienced people are the more aware they are of our capacity for mistakes!
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