Review of UK Climate Change Indicators
(Revised Jan 2004)
Department for Environment Food and Rural Affairs
Contract Officers: Diana Wilkins and Ken Wright
Main contractor:
Centre for Ecology and Hydrology, Bush Estate, Penicuik EH26 0QB Tel 0131 445 4343
Coordinator: Melvin Cannell (mgrc@ceh.ac.uk)
Contributors: Tommy Brown (tb@ceh.ac.uk); Tim Sparks (ths@ceh.ac.uk);
Terry Marsh (tm@ceh.ac.uk); Terry Parr (twp@ceh.ac.uk); Glen George (dgg@ceh.ac.uk).
Subcontractors:
1. University of East Anglia, Climatic Research Unit, Norwich NR4 7TJ Tel
Jean Palutikof (j.palutikof@uea.ac.uk); David Lister (d.lister@uea.ac.uk);
Trudie Dockerty (t.dockerty@uea.ac.uk).
2. Marine Biological Association, The Laboratory, Citidel Hill, Plymouth PL1 2PB. Rebecca Leaper (rleap@mba.ac.uk).
1. Objectives.................................................................................................... 7
2. Expert meeting, 27 March 2003................................................................... 9
6. European Environment Agency Indicators of Climate Change...................... 20
7. Role of the Environmental Change Network................................................ 22
8. Current review of strengths and weaknesses of the 1999 indicators.............. 29
9. Marine Indicators of Climate Change.......................................................... 50
10. Summary of Recommended Revision of the Indicators............................... 62
11. Headline Socio-economic Indicator of Climate Change............................. 64
Review of UK Indicators of
Climate Change
Summary
- The 10-year period 1993-2002 was the warmest on record in central England, 0.7 °C above the 1961-1990 mean;
- the average number of hot days (at or over 20 °C) in 1993-2002 in central England was 7.4, over twice the long-term average;
- in the last four years, the seasonal distribution of precipitation, and the gradient from southeast to northwest Britain, have been close to the long-term average;
- warm January-March temperatures in recent years have been reflected in lower gas consumption in this winter quarter;
- recent years have seen large increases in (i) the number of Thames Barrier closures, (ii) cases of Lyme disease, (iii) proportion of potato crop irrigated, and (iv) areas of forage maize, but these are not wholly attributable to climate change. Meanwhile, areas of vines have slightly decreased;
- yearly changes in the timing of natural events continue to reflect warmer temperatures.
These indicators (Indicators 22 and 23) may be showing trends that are unrelated to climate, but they have public resonance and should be retained.
1.
Objectives
The report Indicators of
Climate Change in the UK summarising 34 indicators of
Rationale
Since
publication of the DETR (Defra) climate change indicators report in 1999, a
number of other sets of climate impact indicators (e.g. those commissioned by
the European Environment Agency and others) have been developed. Work was
needed to review whether a summary set of indicators at the UK-level was still
necessary and, if so, how these indicators could best complement other
initiatives.
An update of
the current set of
- the original set of indicators was still appropriate;
- new indicators should be devised;
- indicators should be
removed from the set.
Research Specifications
1. Review and update indicators
The project considered relevant climate
impacts research undertaken since publication of the 1999 report (including
environmental indicators developed by the European Environment Agency, and
climate change indicators developed by
The project identified gaps and weaknesses in
the existing set of
On the basis of this
re-appraisal, the current set of indicators was updated and refined, to better
represent
2. Develop a new socio-economic indicator of climate impacts
The Defra publication Foundations for our Future (June 2002) presents a variety of sustainable development indicators. Climate change is considered a cross-cutting theme within the report, and is reflected in two of the indicators :
The second of these indicators had not yet been developed
and Defra has a commitment to produce an appropriate indicator in time for the
first revision of the Foundations for our Future report (publication
expected June 2003).
This project explicitly
identified a headline indicator of the socio-economic impacts of climate change
indicator for inclusion in the report. It highlighted the reasons why this
particular indicator was chosen above others, according to a defendable
methodology.
Milestones
Milestone 1 – An expert meeting was held to review current set of indicators and suggest improvements.
Milestone 2 – Current indicators were dated and a socio-economic indicator was developed.
Milestone 3 – The indicator website was updated, and this final report was prepared with a summary document suitable for publication.
2.
Expert Meeting,
A meeting was held on
Participants
Diana Wilkins (Defra) (diana.wilkins@defra.gsi.gov.uk)
Melvin Cannell (CEH, Edinburgh) (mgrc@ceh.ac.uk)
Tim Sparks (CEH, Monks Wood) (ths@ceh.ac.uk)
Terry Marsh (CEH,
Jean Palutikof (UEA, CRU) (j.palutikof@uea.ac.uk)
David Lister (UEA, CRU) (d.lister@uea.ac.uk)
Trudie Dockerty (UEA, CRU) (t.dockerty@uea.ac.uk)
Rob Wilby (EA) (rob.wilby@environment-agency.gov.uk)
Iain Brown (UKCIP) (iain.brown@ukcip.org.uk)
Rebecca Leaper (MBA) (rleap@mba.ac.uk)
Alistair Montgomery (Scot. Executive)(Alistair.Montgomery@scotland.gsi.gov.uk)
Barry McAuley (DOE, NI) (barry.mcauley@doeni.gov.uk)
Havard Prosser (Welsh Assembly) (havard.prosser@wales.gsi.gov.uk)
This could be addressed in part
by adding narrative to explain the relevance of each indicator to
The Welsh report of 22 climate
change indicators was completed in 2001. The main reason for the Welsh report
was to communicate to people in
No separate initiative has been
taken in
Some participants were involved in the European Environment Agency initiative to produce a list of European Indicators of Climate Change – contracted to the European Topic Centre for Climate and Air. The EEA has listed 49 candidate indicators, of which 18 have been shortlisted (see Section 5). Fact Sheets will be produced within the next year.
The EA Environment Indicators
include some relating to climate change. The indicators are scored against the
selection criteria – which could be done for the UK Indicators of Climate
Change. The EA will complete an audit of all EA databases by August 2003, in an
effort to locate data of value as indicators. Salmon catches on the River Wye
(since 1920s) were discontinued because of confounding factors; indicators of
fish behaviour were preferred. It was thought that flood risk (indicator 7)
should be presented as ‘peak over threshold’ values, as in the EA indicators,
but CEH Wallingford would be the appropriate sources of data. CEH has produced
a report on Flood Indicators. The Thames Barrier data should identify the
reasons for barrier closure – the barrier is used to create a temporary
reservoir as well as avert flood risk. (Contact: Sarah Lavery, EA at the
The 1999 list was deficient in marine indictors. Several are under consideration by the Maribe Biological Association. For sea surface temperature, it was suggested to use the E1 location, rather than the Meteorological Office data – but there are serious data gaps and is little apparent trend.
UEA has considered each of the main socio-economic indicators in the 1999 report.
The meeting considered indicators that the UK ‘can do something about’ such as (i) planning application refusals for building on flood plains, (ii) uptake of guidance for 20% increase in flood risk when making coastal defence plans, eg number of schemes taking this into account, and (iii) number of water management plans that take account of climate change. However, all these indicators presented difficulties in obtaining consistent data which could be interpreted with confidence. It was concluded that the insurance claims indicator met most criteria and was most robust, especially if new data sources could been identified
3. Consultation on the 1999
indicators, that took place in 2000
Questionnaires
were sent out in 1999 by DETR with copies of the Indictors report. Responses
and comments were received from the following.
1. J Lewis (E-mail on coastal
conservation)
2. The Royal
3. B Farmer,
4. GC Russell, Renfrew Council.
5. W Smith, Department of
Health.
6. R Crofts, Scottish Natural
Heritage.
7. J Kinniburgh, Environment
Agency.
8. T Beebee,
9. D Coleman, Bexley Council.
10. D Giles, Southern Water.
11. J Good, CEH,
12. M Harley, English Nature.
13. R Harrington,
14. K Hofius, Federal Institute
of Hydrology,
15. G Jenkins, Hadley Centre.
16. R
17. A Moss, South Staffordshire
Water.
18. E Smith, Angia Water.
19. J Tompkins, National Farmers
21. B Wyatt, CEH, Monks Wood.
A
meeting was held at DETR, Ashdown House on
This group discussed generic issues and detailed recommendations, and considered the comments received by the above respondents. The following points were agreed at that time.
- Indicator 1 might be changed to ‘Land and sea temperatures’, presenting the CET (as a present) and a measure of sea surface temperatures (to be decided).
- Indicator 2 might be changed to ‘Temperature extremes’, presenting heat-waves, frost days and heating day degrees.
- Indicator 3 might be changed to ‘Precipitation trends’, presenting data on seasonality (as in indicator 2 at present), NW-SE gradient (as in indicator 3iii at present) and winter precip. intensity (downpours).
Future projections might be given for most of the indicators above, based on Hadley Centre model runs and CRU analyses for the UKCIP 2001 scenarios for 26 variables.
-
Indicators 5-8 and 10 should remain unchanged, but
maybe linked to
- This should be retained.
- This might be omitted (not discussed, but subject to valid criticism).
- Indicator 12 (insurance claims) might be extended to include claims for flood damage, using Association of British Insurers’ statistics.
- Indicators 13-16 are OK
- Indicator 17 (lyme disease) should stay (despite criticism) but maybe look at European trends and add a new indicator on the number of notified cases of food poisoning.
- Indicator 18 (human mortality) stays.
- Indicator 19 (irrigation water use) stays, but a new indicator might be added on household water use – taking into account the EA indicator and going back before 1992.
- Indicator 20 (percentage potato area irrigated) - there have been no data since 1995, so this may be dropped.
- Indictors 21 and 22 stay.
- Indicator 23 (forage maize) should be dropped.
- A new indicator should be sought on the sale of air conditioners; maybe there is a trade association.
A new indicator should be sought on sales of beer and soft drinks.
- Indicator 24 (summer grass production) should stay.
- Indicator 25 (oak leafing date) should stay, but add the time of flowering of daffodils.
- Indicator 26 (tree health) should stay.
- Indicators 27-31 (insects and birds) should stay.
- Indicator 32 (marine plankton) should be changed to include the existing copepod abundance data and some measure of phytoplankton.
- A new indicator might be added on sea fish and mammals, consulting the Marine Conservation Society and CEFAS.
- A new indicator might be added on frog spawning dates, using ECN data and consulting T Beebee.
- A new indicator might be added on bat activity, provided by the ECN.
- A new indicator might be added on vegetation change, provided by the ECN.
Water quality was recognized as a serious gap – in the absence of systematic recording of algal blooms.
4. Update of 1999 Indicator Data
The following data updates have been implemented on the intranet. A full hard-copy listing of the data is given a separate document.
http://www.cru.uea.ac.uk/~timo/projpages/nao_update.htm
Indicator 5. Dry and wet soil
conditions. Completed to 2002 by CEH
Indicator 6. River flows in
northwest and southeast Britain. Completed to 2002. by CEH,
Indicator 7. Frequency of low and high river flows in northwest and southeast Britain.
Completed to 2002. It is recommended that this indicator be replaced by the ‘number of peaks over threshold’ for a selection of gauging stations (see Section 8).
Indicator 10. Risk of tidal flooding in London. Completed to 2002. See Section 8.
Indicator 12. Domestic
property insurance claims. Completed to 2002 and data for 1998 and 1999
revised. Data from: The Insurance
Statistics Yearbook and Retail Price Index 1996. Abistats@abi.org.uk Association of
British Insurers,
New contact: Diana O’Keefe, diana.o’keefe@abi.org.uk.
The precipitation data are from: http://www.metoffice.com/research/hadleycentre/CR_data/Monthly/HadEWP_act.txt
http://www.dti.gov.uk/energy/inform/energy_stats/gas/4_1gasconsumption-Q.xls
www.dti.gov.uk/epa.htm contact
Annual
http://www.staruk.org.uk/tourismfacts
Joanne Scott, Information
Library, English Tourism Council,
Scottish Ski Centres: Skier Days’ report
Market Research & Development
Branch,
Cowan House,
New contact: Andrew Sarjeant - direct tel 01463 244480.
Snow days data from: Met Office, Glasgow Weather Centre. enquiries@metoffice.com
Indicator 16. Number of
outdoor fires. Completed to 2001. Home Office Statistical Bulletin: Fires
Statistics UK (discontinued after 1999). New source – Fire
Georgina Ford, Office of the
Deputy Prime Minister, Eland House,
The Home Office Bulletin has been discontinued. The statistics used are now published in Table 23 in the new report produced by the Office of the Deputy Prime Minister (per Georgina Ford) (available on-line). Data for 2002 not available until late this year.
Precipitation data from: http://www.metoffice.com/research/hadleycentre/CR_data/Monthly/HadEWP_act.txt
Indicator 17. Incidence of
lyme disease in humans. Completed to 2002. CDSC, Abton House,
CET data from: www.metoffice.com/research/ hadleycentre/CR_data/Daily/HadCET_act.txt
Slight revisions of 1998 and 1999
numbers of cases. Note that figures for 2000
– 2001 and 2002 (provisional) are around double those of previous years. This is due to increased level of disease
awareness and differences in methods of reporting (Dr. Robert Smith, Clinical
Scientist, CDSC). The 1999 indicator’s
report states data are
Indicator 18. Seasonal pattern of human mortality. Completed to 2001/2. Data from: Office of National Statistics. Julie.gastrell@ons.gsi.gov.uk. CET data as above. For 1997 – 1999 the underlying data vary from the previous update, which has been revised. There is some suggestion that provisional figures were previously supplied, which would provide an explanation for this. Statistics are from the same source.
Indicator 19. Use of irrigation water for agriculture. Completed to 2000. Digest of Environmental Statistics, DEFRA, (March 2002): http://www.defra.gov.uk/environmental/statistics/des/index.htm
Indicator 20. Proportion of
potato crop that is irrigated. Data received and percentage for 2001
calculated comparing irrigated ha with total potatoes (ha) from England plus
Wales Ag & Hort June Census 1991. DEFRA Survey 2001,
undertaken by Cranfield University. Dr. K Weatherhead, Cranfield k.weatherhead@cranfield.ac.uk
Indicator 21. Potato yields. Data to update the series are unlikely to be available before May 2003, depends if resources are available. sgerrish@potato.org.uk
Indicator 23. Warm weather
crops: forage maize. Completed to 2002. Agricultural & Horticultural
Census : 5 June 2002, United Kingdom Revised Results. Noelle Floyd, Maize
Growers Association. Mga1@globalnet.co.uk Values are for
England, Wales & N.Ireland only.
Enquiries to the Scottish office suggested that maize acreage there is
negligible – less than 30ha. However
this could be the place to watch.
Indicator 34. Ice on Lake Windermere. Completed to 2002. Data from CEH, Windermere: contact Dr Glen George.
Bat activity – In the UK data are available from the Bat Conservation Trust. (bats.org.uk and scotbats.org.uk). In December 1995, DETR commissioned a five-year programme of research (1996-2000), the National Bat Monitoring Programme (NBMP), with the overall goal of developing an effective monitoring strategy for resident species of bat in the UK. However, the programme relies on data gathered by volunteers.
Fish stocks - but data availability a problem.
Distribution of plants – similar to the aspirational indicator of the EEA, with difficulty in obtaining robust data.
Background
The Environmental Change Network
(ECN) (http://www.ecn.ac.uk)
is the UK's long-term integrated ecosystem research network designed to aid in
the detection, interpretation and forecasting of environmental changes
resulting from natural and human causes. It is a multi-agency initiative with a
network of 54 terrestrial and freshwater sites making regular measurements on
the main drivers of change (e.g. climate, atmospheric chemistry, land use) and
ecosystem responses (e.g. soil, flora, fauna and water quality). ECN has been
collecting data since 1993 and produces data and information relevant to users
in education, research and policy. It covers issues such as environmental
indicators, the impacts of climate change, biodiversity loss, atmospheric
pollution, soil degradation and water quality.
Use of ECN Data in relation to
Climate Change Indicators
ECN data are relevant to Defra’s requirements for climate change
indicators for::
Disaggregation: to show regional or site level trends for
national indicators;
Interpolation: to
fill in gaps between national census years e.g. annual vegetation data to fill
gaps between Countryside Surveys every 8-10 years.
Interpretation: to disentangle multiple causes by comparing
the effect of climate to the effects of other confounding factors on the
indicators. The range of additional information on physical and chemical
variables collected by ECN will facilitate the interpretation of discovered
trends. Relationships between trends in different species or groups of species
can also be examined, for example trends in invertebrate species compared with
trends in insectivore birds.
Indicator development: to produce new climate change indicators based on ECN data. With 10 years
of data available ECN is now becoming an increasingly important source of data
for the development of climate impact indicators (e.g. see Section 5).
The main disadvantages of ECN as a source of indicators of climate
change in relation to the UK are (i) its lack of long-term historical
time-series data for most variables at most sites; (ii) its relatively small
number of terrestrial sites and (iii) it cannot provide national statistics
because its sites are not chosen randomly, although sites are representative of
the main UK environmental gradients in the UK.
Current uses of ECN Data for Illustrating Changes in National
Indicators at Local Levels
ECN
collects data which are relevant to over one-third of Defra’s 34 climate change
indicators (Table 1). Although none of these data were used in the first Defra
"Climate Indicators" report, they are already being used to show how
national indicators vary at different sites across the UK. An example is shown
in Figure 1. The ECN www pages (see http://www.ecn.ac.uk/CCI/cci.asp) already
show site specific data for the following Defra Climate Change Indicators:
Climate, Hydrology, Sea level and Air
Pollution
Number
of hot days
Number
of cold days
Annual
mean temperature
Percentage
of precipitation falling in winter
Annual
river flows
Abundance
of common blue butterfly
Abundance
of common footman moth
Peak
flight times of the orange tip butterfly
Peak
flight time of the common footman moth.
Strengths of using ECN data in this way are:
- Graphs updated
automatically on www when ECN summary database is updated.
- Data can be inspected and downloaded for further analysis
- Data on possible confounding variables at the same site can be
examined
- Direct link to national indicator pages
Future Uses of ECN Data in relation to
Climate Change Indicators
ECN is a long-term programme and in future
years should be able to provide additional and more robust indicators of
climate change. ECN measures over 260 sets of variables. Some of their
potential uses as indicators of climate change, particularly in relation to
measures of biodiversity and environmental quality, are summarised in Table 2
and described below.
Biological response variables
Changes
in species-abundance
ECN can provide estimates or indices of population
size for individual species of birds, butterflies, moths, bats and ground
beetles at terrestrial sites and measurements of diatoms, phytoplankton,
zooplankton and macro-invertebrates to mixed-taxon levels in freshwater
communities. Data on both species richness and population size are usually
collected:
Sp. richness Popn. size
Terrestrial sites
Butterflies - weekly
transect count 3 3
Moths - daily catches using
the Rothamsted light trap 3 3
Ground predators -
fortnightly pitfall trapping 3 3
Birds - BBS, CBC and
Moorland bird census 3 3
Bats - transect counts four
times a year 3 3
Vegetation - quadrat surveys
at 3 year intervals, annual subset 3 3
Tipulidae larvae - twice
yearly core sampling - 3
Freshwater sites
Invertebrates -
rivers:twice-yearly, lakes:annually mixed
taxon 3
Macrophytes - rivers:
annually, lakes: 2 years 3
Zooplankton - lakes: 4 times
a year 3 3
Phytoplankton - lakes:4
times a year mixed
taxon 3
Epilithic diatoms - yearly 3 -
Changes
in community structure
Changes in animal or plant community
structure can often provide robust measures of environmental change. For
example, RIVPACS is an excellent example how changes in the community structure
of aquatic macro-invertebrates can be used to provide a general indicator of
water quality. (However, such modelling techniques are typically calibrated
with respect to reference sites which are themselves sensitive to climate
change and natural succession over time.) Similar approaches need to be
developed in relation to climate so that ECN's data can be used in this way.
Changes
in species-phenology
Moths, butterflies and ground predators
(beetles) are recorded regularly through the year at ECN sites and shifts in
timing of appearance or peak abundance of species can be determined from the
data. ECN also records the date of first frog spawning at its sites.
Changes
in species-morphology
Indicators of water quality.
There are currently no indicators reflecting climate change impacts on water quality. This probably reflects the difficulty in separating the impacts of climate change from the many other factors that influence water quality. ECN data may help here.

Continuous climate monitoring with automatic weather stations is done at ECN's terrestrial sites. Many ECN sites also have long runs of climate data which might be used to illustrate specific aspects of climate change at local levels.
Ongoing Work On Developing Indicators of Climate Change on Biodiversity
ECN is currently developing for Defra (Wildlife and Countryside Division) a climate change indicator for biodiversity in England based on changes in the abundance of climate sensitive species at ECN sites. The feasibility of this approach has been demonstrated through work showing the effects of the 1995 drought (Morecroft et al 2002) and longer-term correlations between summer temperatures and abundance individual species of moths, beetles and butterflies.
This indicator will form part of a formal set of Biodiversity indicators for England to be published in late 2003, as described in “Working With The Grain of Nature: A Biodiversity Strategy For England” (Defra 2002).
References
Sykes J.M. and Lane A.M.J. (1996) (eds.) The UK Environmental Change Network: Protocols for standard measurements at terrestrial sites. HMSO, London.
Morecroft, MD., Bealey, CE., Howells, E., Rennie, SC. and Woiwod, I. (2002). Effects of drought on contrasting insect and plant species in the UK in the mid-1990s. Global Ecology and Biogeography, 11(1), 7-22.
Table 1.
ECN can provide data relevant to
nearly one third of the indicators selected for the climate change indicators
project.
|
CANDIDATE INDICATORS |
ECN DATA COVERAGE |
|
A. Climate, Hydrology, Sea
Level and Air Pollution |
|
|
1. Air Temperatures in Central England |
|
|
2.
Seasonality of Precipitation |
|
|
3. Precipitation Gradient Across the UK |
|
|
4. Predominance of Westerly Weather |
x |
|
5. Dry and Wet Soil Conditions in
Southern England |
|
|
6. River Flows in NW and SE Britain |
|
|
7. Frequency of Low and High River
Flows in NW and SE Britain |
|
|
8.
Groundwater Storage in the Chalk of SE Britain |
x |
|
9.
Sea Level Rise |
x |
|
10. Risk of Tidal Flooding in London |
x |
|
11. Atmospheric Ozone Levels in Summer in
Rural England |
x |
|
B. Insurance, Energy, Tourism and Fire |
|
|
12.
Domestic Property Insurance Claims |
x |
|
13. Supply of Gas to Households |
x |
|
14. Domestic Holiday Tourism |
x |
|
15. Scottish Skiing Industry |
x |
|
16.
Number of Outdoor Fires |
x |
|
C. Health |
|
|
17. Incidence of Lyme Disease in Humans |
x |
|
18. Seasonal Pattern of Human Mortality |
x |
|
D. Agriculture and
Forestry |
|
|
19. Use of Irrigation Water for
Agriculture |
x |
|
20. Proportion of Potato Crop Area that is
Irrigated |
x |
|
21. Potato Yields |
x |
|
22. Warm-weather Crops: Grapes |
x |
|
23. Warm-weather Crops: Forage Maize |
x |
|
24. Late summer Grass Production |
|
|
25. Date of Leaf Emergence on Trees in Britain |
|
|
26.
Health of Beech Trees in Britain |
? |
|
E. Insects and Birds |
|
|
27.
Dates of Insect Appearance and Activity |
|
|
28. Insect Abundance |
|
|
29. Arrival Date of Swallow |
x |
|
30. Egg-laying Dates of Birds |
x |
|
31. Small Bird Population Changes |
|
|
F. Marine and Freshwaters |
|
|
32. Marine Plankton |
x |
|
33. Upstream Migration of Salmon |
? |
|
34. Appearance of Ice on Lake Windermere |
x |
|
|
|
.
Figure 1.
Example of ECN data used to disaggregate national indicator to local (site)
level . (http://www.ecn.ac.uk/CCI/cci.asp)

Table 2. Potential "New" ECN
Climate Impact Indicators (not Including Moths and Butterflies)
8/11/00
(all indicators can be related to appropriate climate variables at site level)
|
Indicator |
Description |
Climate Sensitivity (*** = high) |
Public Resonance (*** = high) |
Data availability |
Implementation status |
|
|
|
|
|
|
|
|
Frog spawning date |
Indicator of spring
warming - may vary regionally. |
*** |
*** |
8 sites x 10 years |
OK |
|
Bat activity |
Number of bats recorded on
4 walks - increase likely to be related to increases in population size and
increased activity |
* (not a particularly
robust measure and no great year to year variation recorded so far.)
(interactions/ non-linear responses
possible) |
** |
10 sites x 10 years |
OK |
|
|
|
|
|
|
|
|
Ground beetles - phenology |
Time of peak abundance |
*** |
* |
10 sites x 10 years |
Some work to screen
species |
|
Ground beetles - population responses |
Predatory species may
respond positively to increase in food availability. |
* (interactions/
non-linear responses possible) |
* |
10 sites * 10 years |
Analysis needed to
evaluate indicator. |
|
|
|
|
|
|
|
|
Vegetation - annual change in key species |
Ruderal species and deep
rooted species become relatively more abundant after drought. |
* (interactions/
non-linera responses possible) |
** |
10 sites * (max 8-10
years) |
Some work to screen
species. Dependent on continued DETR funding for annual veg monitoring. |
|
Late summer grass production (c.f. indicator #24) |
c.f. indicator #24. ECN
can provide data for other sites. |
** |
* |
3 sites * Up to 10 years |
OK (but some data to
chase) |
|
|
|
|
|
|
|
|
"Genetic" changes - spittle bug morphs - beetle morphs |
Published relationship
between morph frequencies and climate. |
** |
Low unless hyped up. |
10 sites x 10 years |
Presentation issue. |
|
|
|
|
|
|
|
|
Coloured water/dissolved organic carbon |
Related to either and likely
to be afffected by climate change. |
** (interactions/
non-linear responses possible) |
** |
2 sites x 10 years |
Presentation issue. |
|
Water quality |
Likely to be a complex
indicator based on chemical andbiological responses |
Unknown may be difficult
to disentangle climate effects from confounding factors |
*** |
8 years * 42 river and
lake sites (longer data runs from some sites) |
Speculative. Trying to
interest EA in research project. |
Change
over time
Over the twentieth century the annual-mean Central
England Temperature warmed by about 0.67°C (mean linear trend). The warmest
years in the entire 340-year record occurred in 1990 and 1999, and five of the
ten warmest years occurred in the last decade. This has made the 10-year period
1993-2002 the warmest such period in the record, 0.7°C above the 1961-90 mean.
There has also been an increase in recent years in the
number of summers with large numbers of hot days. The summer of 1995 recorded
26 such days - easily the largest number this century - and 1976, 1983 and 1997
also recorded many hot days. The average number of hot days per year over the
last decade, 1993 - 2002, has been 7.4 days, more than twice the long-term average.
It is noticeable that the period 1962 to 1966 inclusive did not record any hot
days in the UK.
The number of cold days shows little long-term trend
over the twentieth century. The period from about 1940 to 1970 recorded
generally average or above average numbers of cold days, with the record of 57
cold days occurring in the winter of 1962/63. The most recent decade, 1993 -
2002, has recorded on average only about six such days per winter, well below
the long-term mean of nearly 11.5 days. The early decades of this century,
however, also recorded relatively few cold days. The winters of 1922/3 and
1924/5 for example, did not record any cold days at all, a situation repeated
only twice this century: in 1974/5 and 1997/8.
In the last four years annual CET has remained well
above the 1961-90 average, and indeed only slipped below 10oC in
2001. The year 1999 matched the highest
value, which was also recorded in 1990, and 2002 had the fourth highest CET
annual temperature in the record.
Despite this, the number of hot days has not been exceptionally high in
the last four years. The number of cold
days has, however, been well below average in every year since 1998 except the
2000/2001 winter.
Anticipating continued global warming, it is expected
that the annual-mean Central England Temperature will continue to warm, with
higher numbers of hot days and fewer cold days. Such trends, however, will only
be manifest when averaged over periods of 10 years or more. Individual years will
experience large fluctuations and some, like 1996, will record temperatures
below the average. It remains quite possible, for example, that in the next few
years we will experience a very cold winter with a large number of cold days.
Hulme,M., Jenkins,G.J., Lu,X.,
Turnpenny,J.R., Mitchell,T.D., Jones,R.G., Lowe,J., Murphy,J.M., Hassell,D.,
Boorman,P., McDonald,R. and Hill,S., 2002: Climate Change Scenarios for the
United Kingdom: The UKCIP02 Scientific Report. Tyndall Centre for Climate Change Research,
School of Environmental Sciences, University of East Anglia, Norwich, UK.
120pp.
This is calculated from the daily Central England temperature (CET) record. A graph of the Length of the Thermal Growing Season appears in the UKCIP Climate Change Scenarios (UKCIP, 2002) for the period 1772 to 2001, as Fig. 7. This is calculated relative to a threshold of 5.5oC. More recently, this series was the subject of a letter to Weather (Mitchell and Hulme, 2002) where, with a threshold of 5oC, it was proposed as an Indicator.
The thermal growing season length is defined as beginning when the temperature on five consecutive days exceeds some threshold, taken here to be 5oC, and ending when the temperature on five consecutive days is below that threshold. It runs between the first day of the former period, and the day preceding the latter period.
For the Indicators update, recent daily CET data were requested from Phil Jones of the Climatic Research Unit, and supplied to Tim Mitchell of the Tyndall Centre for Climate Change, so that he could perform the update to 2002. This was done relative to the 5oC threshold. The data have been plotted and a smoothed curve added so that the general trend can be seen. A sample plot is shown below, for the period 1900 – 2002 (over which the climatological indicators are plotted in the original Indicators report).

Figure 1. The
length of the thermal growing season in each year, compared to the mean growing
season length 1961-90 (252 days)
The longest growing season in the 229-year record was 330 days, in 2000. However, the second longest value, and only one day shorter, occurred in 2002 (329 days). According to Mitchell and Hulme (2002), there was an increase in growing season length over the twentieth century of 28 days, which took place mainly in two phases: 1920 – 60, and 1980 – 2000. Whereas the earlier period saw both an earlier onset of spring and a later onset of autumn, all of the recent increase has been due to an earlier onset of spring. This result agrees with the results of other authors, for example Menzel and Fabian (1999).
It is unlikely that this series will prove difficult to update in the future, since daily CET is supplied on a regular basis by the UK Met. Office to the Climatic Research Unit. The programming to derive the index from daily CET is simple and straightforward. This potential indicator has public resonance and is closely related to policy concerns. It therefore makes an ideal candidate as a new indicator.
Hulme,M., Jenkins,G.J., Lu,X., Turnpenny,J.R., Mitchell,T.D., Jones,R.G., Lowe,J., Murphy,J.M., Hassell,D., Boorman,P., McDonald,R. and Hill,S., 2002: Climate Change Scenarios for the United Kingdom: The UKCIP02 Scientific Report. Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK. 120pp.
Menzel, A., and Fabian, P., 1999: Growing season extended in Europe. Nature, 397, 659.
Mitchell, T. D., and Hulme, M., 2002: Length of the growing season. Weather 57, 196-198.
Change over time
The proportion of
precipitation over England and Wales falling in winter has remained quite
constant during the present century with a 1961-90 average of about 27 per
cent. However, two of the three years with the highest proportions of winter
precipitation this century occurred in the 1990s - 1990 and 1995 - although
there have also been recent years with quite low proportions - 1992 and 1997.
Recent years have seen proportions
slightly above - 1996 - and slightly below - 1997 - the long-term mean. The last four years (1999 – 2002) have been
close to the long-term average, with no exceptional occurrences. Although climate modelling studies suggest
that we might expect to see higher proportions in future, precipitation,
including its seasonal distribution, exhibits large natural variations from
year-to-year and from decade-to-decade, and clearly identifying such underlying
trends may require many more years of data.
Change
over time
The ratio of winter precipitation
in Scotland to summer precipitation in SE England has increased in recent
decades. Whereas in the first 20 years
of record the ratio only exceeded 3.0 on five occasions, in the last 20 years
of record ten values were in excess of 3.0.
Unusually high ratios occurred in 1921, 1949 and then in a series of
years in the 1970s and 1980s. In 1995 the highest ratio, close to 12.0, was
recorded, Scotland having a very wet 1994/95 winter and SE England a very dry
1995 summer. This coincided with the highest value of the North Atlantic
Oscillation index (see next Indicator) recorded this century.
The last
four years have recorded ratios close to the long-term average of 2.9, with the
exception of 2000 which recorded a ratio of 5.0 due mainly to above average
precipitation in the Scottish winter.
Climate modelling studies suggest that global warming might induce
precipitation increases in northern UK, especially in winter, and decreases in
the south, especially in summer. If so, then we would expect to see higher
values of this index in the future. Regional precipitation exhibits large
natural variations from year-to-year and from decade-to-decade, however, and
identifying such contrasting trends in regional precipitation may require many
more years of data.
Change
over time
The period until about 1970 saw a
generally decreasing trend in the winter (November to March) North Atlantic
Oscillation index, towards more negative values. The winter of 1968/69 yielded
the second lowest index value this century, being exceeded only by 1995/96. The
period from about 1970 recorded rising index values, with the highest value
being recorded in 1994/95.
The change
in North Atlantic Oscillation condition between the winters of 1994/95 and
1995/96 was quite remarkable - from the highest twentieth century value to the
lowest twentieth century value in successive years. The very low index value in
winter 1995/96 was associated with a cold winter in the UK. Since the
extraordinary fluctuations of the mid 1990s, five of the last six winters have
had positive values of the NAO, with a maximum, but by no means exceptional,
deviation of 1.54 in 1999/2000. The
exception is 2000/01, which had a slightly negative NAO value.
It is
difficult to predict how the North Atlantic Oscillation may change in the
future as the world warms. It displays variations on a number of different
timescales, most of which may be unrelated to global warming. However, given its
importance in determining winter weather over the UK, trends in UK climate
cannot fully be understood without reference to the North Atlantic Oscillation.
Persistently high soil
moisture deficits were a feature of 1988-92 and 1995-1997 but the intervening
period was wet - notably the winter – and above average rainfall since mid-1997
has counterbalanced the higher evaporative demands which have characterised the
recent past. Although maximum soil
moisture deficits have been notably high in the 1990s, the length of time over
which substantial deficits have obtained has not been unusual. The dry soil conditions over the winter of
1996/97 greatly restricted the period available for groundwater recharge but,
thereafter, the recharge season has been of normal length – allowing
groundwater levels to recover to within their normal range.
This indicator is unlikely to be sustainable in the absence of targeted funding to support its updating. The preferred datasets are held by the Met Office. Discussions should be initiated with the Met Office to determine how best to derive a regional soil moisture index for future usage. Their MOSES system appears to have considerable potential.
The tendency for mean flows to
increase from the early 1970s was not sustained in the mid 1990s but average
flows for both 1998 and 1999 were significantly above average and runoff for
the decade is almost certainly the highest in the 20th century.’
No clear trend is evident over the 1961-99 period but the cluster of low runoff years in the 10 years to 1997 is notable. Accumulated flows in the two-years 1996-97, and four years, 1989-92, were probably the lowest for 50 years. Very low groundwater levels (and spring outflows) were a major contributory factor to the depressed river flows during these periods. Increased groundwater inflows to rivers in south-eastern Britain is reflected in the modestly above average runoff for 1998 and 1999.
In northwest Britain, where
the number of low flow days are less variable than in the southeast, periods of
low river flow show no clear trend over the 1970-99 period but the century
ended with notable few low flow days.
Regarding high flows:
This indicator tracks the prevalence of high and low flows based on daily flow data for representative gauging stations. The choice was a serviceable compromise given the constraints under which the original selection procedure operated (see below). The low flow element remains valid. But in relation to high flows, what is really required is an indicator that relates more directly to flood magnitude and frequency.
Most analyses of trends in floods rely on the availability of annual (or water-year) maximum flows (AMAX) or peaks over a threshold (POTs) – where a threshold is selected which, on average, will yield 3-6 independent flood events per year. This approach was used in the Flood Studies and the Flood Estimation Handbook projects. But MAFF funding for the extraction and national collation of flood data ceased in the mid-1990s (some extraction continued locally) at which time, nationally available flood time series for most gauging stations in the UK ended in the late 1980s or early 1990s.
The cluster of recent major flood episodes triggered a major £1.5 million programme (EA led) to update AMAX datasets; this is scheduled to end in 2004. In addition, the upgrading of hydrometric data processing capabilities in EA and SEPA should allow POT extraction to proceed more smoothly than hitherto.
It is recommended therefore that the number of peaks over threshold for a selection of gauging stations be used for the headline indicator in the future (by implication, such an indicator would allow any trends in annual maxima to be tracked also). Detailed discussions with EA (SEPA and Rivers Agency also) will be essential prior to finalising the network of gauging stations to use – preliminary discussions have taken place.
Note that the proposed new
indicator would be complementary to, rather than an exact replication of, the
EAs ‘Flood Levels in Rivers’ indicator, which is correctly termed an
Environmental Indicator. For tracking
climate change impacts an indicator based on flows is to be preferred – it is
less sensitive to hydraulic changes to the river channel or floodplain.
The new indicator would reflect the recommendations made in the Defra/Environment Agency Flood & Coastal Defence Programme R&D Technical Report FD2311 (published in Feb 2003 – Project Manager, Frank Farquharson, CEH Wallingford).
Index gauging stations could be selected to allow a NW/SE comparison (as in the UK Indicators report). However, to have real utility the headline indicator would need to be supported by a national set of catchments, which provides the capability to examine trends in any region or catchment type (we may, for instance, see differing signals from clay, chalk and urban catchments in the English Lowlands).
The national collation of flood
data for the stations selected to derive the new indicator would form part of
the routine work programme of the National River Flow Archive – the archive
incorporates flow data for England and Wales, Scotland and Northern Ireland,
providing a UK-wide capability.
Only one minor change has been made on the website:
Very healthy recharge over the
following two winters resulted in a substantial recovery in groundwater levels
– which stood around average entering the new millennium.
Specific Indicator
Sea level
relative to the land (known as the revised local reference) is recorded at
sites all around the UK as a UK Permanent Service for Mean Sea Level. Sea
levels at two sites are chosen as specific indicators: Lowestoft in Suffolk and
Newlyn in Cornwall.
[Source: http://www.pol.ac.uk/psmsl/psmsl_individual_stations.html]
Relevance
Global mean sea level increased by 1.0-2.0 mm per
year during the 20th century.
Change over time
Mean
annual sea level fluctuates from year to year. Much of this variation is
related to the position of the Gulf Stream - high sea levels occur when the
Gulf Stream follows a northerly path and the Gulf Stream Position Index is
large. Thus, at Lowestoft, over the period 1966-2001, the correlation between the annual mean Gulf Stream Position Index
and sea level (the revised local reference level) was very significant (0.46).
A gradual increase in sea level is easily detected
in the records around the southern and eastern coasts of England. At Lowestoft,
mean sea level increased by 2.01 (± 0.42) mm per year over the period 1960-1996
and at Newlyn by 1.19 (± 0.31) mm per year. These are highly significant upward
trends.
Thus, changes in rainfall and
evaporation which alter the flow of the Thames (particularly during the winter)
may also affect the number of closures of the Barrier. Any future changes in the operating rules
could also influence closure frequency.
Nonetheless, the tendency over
the last 17 years has been for barrier closures to become more frequent. Closures over the 1993-99 period greatly
exceed those for the preceding 10 years.
The 1990s were characterised by significant year-on-year
variability. Nine closures were required
in 1993 but none in 1997 when water levels in the Thames were low following
prolonged drought – high tides which would normally have triggered a closure
required no action. The six closures
during 1999 all occurred during December.
[Source: Centre for Ecology and
Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB]
Sensitivity to climatic and other factors
The selected indicator (1987-2002) is closely correlated with the number of
sunshine hours and temperatures in Central England in summer.
Change
over time
The indicator values have fluctuated between 2000 and 10000 ppb hours
between 1987 and 2002, being greatest in years with warm, sunny summers.
In the long term, there has been a tendency for rural ozone concentrations in the UK to increase by about +0.5 ppb/yr, but there appears to have been a decline since 1990. This is linked with a reduction in the magnitude of peak zone concentrations which occur during the summer, possibly as a result of changing meteorological conditions. Thus, in the period 1972-1985, maximum hourly average concentrations often exceeded 150 ppb and even 250 ppb in the hot summer of 1976. But in 1986-1995, the hourly maximum exceeded 150 ppb only three times at any of the UK monitoring sites. Peak ozone concentrations in the exceptionally hot summer of 1995 were not as high as expected, owing to reductions in emissions of hydrocarbons and nitrogen oxides in some European countries and air circulation patterns which frequently brought relatively clean air into the UK from N. Europe.
Clearly, rural ozone levels could increase if summers
became warmer and sunnier and other conditions were favourable.
Change over time
Subsidence claims are greatest when
it is dry, as in 1976, 1989, 1990, 1995 and 1996. However, claims were
surprisingly low in the severe drought year of 1976 relative to later dry
years, presumably because of changes in the quality and value of housing. Claims
peaked in 1989-90: the equally severe conditions in 1995-6 led to a much more
damped response in claims, peaking in 1998 and dying away gradually in the
following years. This is presumably due
to changes in the way in which insurance companies handle claims, and also
because the housing stock is gradually being made subsidence-proof, either
through repairs or by improved building standards in new housing.
Damage due
to 'major weather perils' shows clearly the influence of the severe gales in
1987 and 1990. There have been no major wind storm events
since 1990, and this is clearly demonstrated in the record, which in
non-windstorm years is primarily a response to flood claims and burst
pipes. Since 1994 there has been a
gradual upward trend in the value of settled claims. The occurrence of a spell of freezing conditions has
the capacity to push up the level of claims from a background £250 million to,
in 1996, over £500 million. This
was primarily due to freezing weather in
December 1995 in the North-west and Scotland, but is small compared to the
£1900 million (at 1996 prices) claimed in response to the 1990 storms.
It is
clear that the major climatic determinant of large fluctuations in this series
is gale damage. Thus future trends will largely be in response to any changes
in the frequency and/or severity of wind storm. Climate models give conflicting
evidence with respect to future patterns of storminess over the UK.
Change over time
Years with cold winters, including
1979, 1985-87, 1996 and to a lesser extent 2001, show relatively high gas
consumption in the winter quarter. As expected, in more recent years gas consumption
appears to display a greater sensitivity to temperature. Thus, the coldest
first quarter in the series was in 1979, when the average temperature was 1.8oC
and gas use was 42% of the annual total. In 1996 the winter-quarter temperature
was 3.8oC but gas use was 43% of the annual total.
The winter
season will always produce the lowest temperatures and the highest use of
domestic space heating. With or without the higher temperatures predicted by
global warming, the relative seasonal differences in space heating requirements
are likely to be maintained at similar levels to those of today. Thus, winter
gas use, as a proportion of annual use, will reflect temperature variability as
it has done in the past. So long as gas retains its present space-heating role
(which depends on energy pricing structures) the sensitivity of the series is
not expected to change substantially.
The recent data for domestic tourism are provided below. The updating of this series has posed considerable problems. In addition, we have noticed an error which, according to the graphics on the Indicators web pages, occurred when the 1997 and 1998 values for holiday trips were added to the web page during previous updates.
When the original series was compiled, there was a discontinuity in the series for holiday trips, due to a change in methodology used by those assessing the regional totals. To correct for this discontinuity, it was necessary to add a fixed annual amount (12.5 million) to the England+Wales+Scotland total. The failure to add the 12.5 million during updating for 1997 and 1998 has caused the current web site graphics to be in error for these two years.
In addition, there has been a recent change in methodology used by the United Kingdom Tourism Survey (UKTS), the body which has conducted “the” survey since 1989. The survey forms the basis of the published data relating to the volume of domestic tourism. Fortunately, parallel data sets have been provided which allow the comparison of data produced by the “old” and “new” survey methods. The period of overlap is 1995-99. This allows five years of comparison and thus the production of conversion factors (old to new).
The table below gives the corrected values for the years 1997 and 1998, based on the now superseded methodology (i.e. with 12.5 million added). In addition, the 1999 value, according to the old method, is provided. The values for 2000 and 2001 (based on current methods) are also given. To adjust the pre-2000 values (including the 1997-99 values below) to the current “levels”, requires all values to be multiplied by 1.22. Ideally, and given the large changes which have taken place over time, this series needs to be revisited to ensure that it is homogeneous. A possible replacement could be sought amongst data on visits to National Parks and visitor attractions such as stately homes, which may be expected to be weather dependent.
|
Year |
Trips (millions) |
Method |
|
1997 |
82.5* |
Old (corrected to first level) |
|
1998 |
76.8* |
Old (corrected to first level) |
|
1999 |
86.9* |
Old (first level) |
|
|
|
|
|
2000 |
104.5 |
New |
|
2001 |
100.0 |
New |
* requires multiplication by 1.22 to make compatible with 2000 and 2001 data.
Change over time
There are large year-to-year fluctuations
in the number of Scottish ski days, but overall between 1983/4 and the most
recent season there is a small downward trend.
However, since the poor season of 1997/8, which was accompanied by a low
number of snow days, the last four seasons have seen a recovery in ski pass
numbers. Notably poor skiing seasons
were 1988/9, 1989/90 and 1991/2, none of which had more than 40 days of snow
lying at Braemar. However, the winter
with the most snow days (1993/4) was not the most successful for the industry,
because of the large number of weekend storms.
The recent poor season of 1997/8 was accompanied by 43 days of snow,
which is the fourth lowest value in the record since 1983/4, when ski pass data
began.
Change over time
Cases of Lyme disease diagnosed and reported by
UK laboratories have increased tenfold since records began in 1986. Since the late 1990s the number of cases has almost
doubled. The period 2000 – 2002 has seen
record levels of more 250 cases per year.
Overall, there has been a dramatic increase in recent years.
In the future, it is
expected that, with warmer year-round temperatures, the UK would see more cases
of Lyme disease related to all of the factors described above, including more
outdoor recreation, changes in the tick numbers and activity.
Change over time
An inverse relationship between January
temperature and the proportion of annual deaths occurring in January is clear
at the beginning of the record and through the 1990s, but the relationship is weaker during the
1980s and in the last few years. In 1983
and 1990 the proportion of deaths occurring in January was high although
January temperatures were among the highest in the record. One explanation is
that, in both these years, there were influenza epidemics. This is known to be
an explanation for the unusually high proportion of deaths in January 1997,
when there was a severe influenza outbreak.
Since 1996, the series has become more variable, with an exceptional
high percentage of January deaths in 1997, 1999 and 2000. The 1997 peak can be related to low January temperatures,
but the 1999 and 2000 peaks cannot. Low
percentage values were recorded in 1998 and 2001. Although January CET in 1998
was well above average, this was not the case in 2001.
The proportion of
annual deaths occurring in January would be expected to decline in a warmer
climate. Models suggest that, for a 1oC
increase in temperature, about 30 fewer deaths would be expected to occur each
day in January and that this would hold true for temperatures up to 3oC
higher than the January norm.
Note that that this
does not mean that we shall live longer in a warmer climate, rather that we may
be more likely to end our lives in summer than is the case at present.
Bentham, C.G., 1997: Health. In Economic
Impacts of the Hot Summer and Unusually Warm Year of 1995 (Palutikof, J.P.,
Subak, S. and Agnew, M.D., eds.) University of East Anglia, Norwich, (for the
Dept. of the Environment), 196 pp.
Change over time
Since 1981, water abstractions have averaged at
least 100 million litres per day, even in wet years. In 1989, which was a
notably dry year, there was a step-jump in abstraction amounts. Since then,
levels have dropped below 250 million litres per day in only one year, 1993.
Superimposed on these trends, there is a clear inverse relationship between
rainfall and amounts abstracted. Relatively high abstraction levels are found
in the earlier years, including the dry year of 1976. However, whereas in 1976,
150 million litres per day represented a substantial increase in water
abstractions against average levels, in recent dry growing seasons, such as
1990 and 1996, abstractions have averaged more than 350 million litres per day. The winter and spring preceding the 1996
growing season was exceptionally dry in most areas of England and Wales, unlike
the winter 1994-95, when rainfall was above average. This difference probably
accounts for the greater amount of irrigation water used in 1996. Since 1996, summer rainfall amounts have been
higher, and this is reflected in a reduction in irrigation water use, although
abstractions still remain above 250 Ml/day.
The amount of water
used to irrigate crops is expected to increase in future, regardless of any trend
in climate, due to pressure from retailers to produce crops of high and
predictable quality. However, lower rainfall and increased evaporation (in
response to higher temperatures) could lead to increased water abstraction,
unless voluntary and mandatory measures are taken to conserve water supplies in
the face of growing water shortages - perhaps forcing a shift away from spray
irrigation towards more efficient trickle irrigation.
Large investments were
made in irrigation equipment following the drought years of 1975 and 1976.
Thus, in 1975 only around 12% of the potato crop was irrigated in a dry year,
but by 1978 this figure had risen to 21%. From the mid 1970s onwards, there has been a steady increase in
the percentage area of the crop irrigated, reaching 46% in 1995 and in the most
recent survey year, 2001, 60%.
It is likely that
producers without irrigation, especially in much of the eastern and central lowlands
of England, will be influenced by an increased incidence of very high (summer)
soil moisture deficits, as predicted in climate change scenarios. The
percentage of potatoes irrigated may therefore increase further, although this
may be moderated by a range of adaptive measures which will reflect the finite
nature of water resources in many growing areas, plus the possibility of
voluntary and mandatory restrictions on water use. Adaptive measures could
include the use of drought resistant varieties, changes in growing schedules to
avoid late summer maturation and moves towards cultivation in wetter areas.
Change over time
The area of vines in production has more
than doubled over the period of record,
from around 350 ha in the late 1980s to around 800 ha in the last five
years. The area in production is known
since the mid-1980s, although grapes were produced by a few pioneers in the
decades after World War II. A notable increase occurred in 1989, reflecting
vine-planting three years previously. Heavy summer rains greatly reduced the
1993 crop and obviously had a discouraging effect in that the productive area
fell in 1994. The area under production reached a maximum in 1998 of 842 ha,
and has remained relatively stable since then, declining gradually to 783 ha in
the latest year of record, 2002. It will
be of interest to see whether market forces have placed a cap on the area of
productive vines in England and Wales, or whether the upward trend of the early
years of the record can be re-established.
The potential to produce greater quantities of grapes and a better
quality of wine accompanies the prospect of a warmer climate, and so, in the
long term, we might expect to see a further increase in production area in the
future.
Change over time
Although stable in area throughout the 1980s,
the area of forage maize roughly quadrupled through the 1990s. This large expansion is due to a combination
of factors, including the introduction of new varieties which are better
adapted to UK conditions, perceptions of a warming climate, recent experience
of warmer weather and the introduction in 1993 of an arable payment scheme
under the Common Agricultural Policy.
Sensitivity
to climatic and other factors
Records at Ashtead, from 1947 to 2002, suggested that mean temperatures in
January-March in Central England could explain over 55% of the variation in the
date of first leafing of oak - the warmer the temperature, the earlier leafing
occurred.
Change over time
The Central
England records show a general trend towards warmer temperatures in early
spring and the records at Ashstead show correspondingly earlier dates of oak
leafing. The warm springs of 1957, 1972, 1990, 1998 and 2002 were associated
with early leafing and the cold springs of 1969, 1979 and 1985 were associated
with late leafing.
The relationship between leafing dates and early spring temperature suggests
that a 1◦C increase in temperature is associated with a 7-day advancement
of leafing. The current climate change scenarios suggest that we might see more
first leafing dates occurring in the month of March unless chilling and other
controls on leafing exert an effect.
The following change has been made on the
website:
Change
over time
High percentages of beech trees were poorly foliated (ie with over 25% crown density reduction) in 1987, 1989-1992, 1995, 1997 and 2000. In all instances, these years followed previous dry summers and many of the symptoms observed indicated drought damage which may have resulted from root death the previous year. In some years, such as 1990 (but not 1991) poor foliation was clearly associated with heavy seed production.
Indicator
27. Dates of insect appearance and activity
Phenology (timing) indicators are easy to
understand. The opportunity has been taken to revise the common footman and
orange tip series.
The following changes have been made to the
website:
(References to ITE and IACR have been changed
to CEH and Rothamsted Research respectively.)
Change
over time
The
relationships with temperature suggest that a 1degree C increase in temperature
is associated with a 16-day advancement in the first appearance of peach-potato
aphid, a 6-day advance in peak flight time of the orange tip butterfly and an 7-day advancement in the average time
of activity of the common footman moth. Thus, in the event of climate warming
we would expect all three species to make considerably earlier appearance,
particularly the peach-potato aphid.
Robins lay about 20 days earlier than Chaffinches, on average, and the earliest 5% has varied each year between 11 March and 17 April for Robins, compared with between 2 April and 2 May for Chaffinch. Earlier laying occurs in years with warm March temperatures: for Chaffinch every degree of extra warmth leads to 2.4 days advancement in laying, and for Robin it leads to 3.1 days advancement.
Overall, there has been a tendency for March temperatures
to become warmer in recent years and this is reflected in consistently earlier
laying by both species. Years with particularly warm March temperatures
occurred in 1957, 1959, 1961, 1981, 1990 and 1997-2000, often with
correspondingly early laying by both species. Years with cold March
temperatures, for example 1955, 1958, 1962 and 1969 were associated with later
laying.
Indicator
31. Small bird population changes
In 1999 the DEFRA report on UK
Climate Indicators included only two marine indicators (one provided by SAHFOS)
and one freshwater indicator. However, UK marine systems are extremely important providing a variety of services and goods to society. These include food production, raw materials
of biogenic origin, nutrient cycling, waste treatment, refugia for much
biodiversity and opportunities for recreational and cultural activities. It is also clear from the wider scientific
literature that global climate change is having a profound effect on UK marine
systems. It is therefore appropriate
that additional marine indicators be identified and included in the 2003 update
report.
The lack of marine indicators in
the 1999 report perhaps reflected the interests of the network of
original authors, but may also have resulted from the fact that few central
databases on marine time series existed and if they did, were held by
individual organisations. In 2003 the
situation is much improved mainly because appropriate researchers/organisations
have been identified and contacted.
Here at the
Marine Biological Association and the Sir Alister Hardy Foundation for Ocean
Science a wealth of physical and biological time series have been
systematically archived and (more recently) analysed with respect to global
climate change. In addition funds have
been secured to co-ordinate the continued collection and analysis of marine
data. Therefore our organisations and
associated researchers are well placed to provide information for candidate
marine climate indicators.
From the possible list of marine indicators that could be included in the 2003 update report the following five indicators (four biological and one physical) were considered most suitable. An account of each indicator is detailed below, following the format of the 1999 report as closely as possible. Sea surface temperature is taken from the Irish Sea; the two plankton indicators reflect change in the North Sea, the remainder change in the Western English Channel.
|
Candidate
Indicator |
Climate
Variable |
Responsibility |
Physical |
|
|
|
Sea
surface temperature in the Irish Sea |
N/A |
Hardman-Mountford |
Biological |
|
|
|
Occurrence
of bottom living sea fish |
Sea
surface temperature |
Sims |
|
Barnacle
abundance |
Sea
surface temperature |
Leaper |
|
Plankton
abundance (retained from 1999) |
Strength
of westerly circulation in winter |
Reid |
|
Phytoplankton
colour |
Sea
surface temperature |
Reid |
NJ Hardman-Mountford & R Leaper

Sea surface temperature is the temperature of the surface 0-100cm of water and is measured from bucket samples using a thermometer. The hydrographic (temperature, salinity) series from Port Erin Marine Laboratory (54° 05.01'N 04° 46.02'W) has been collected on a monthly basis from 1904 to the present and is one of the longest marine time series in British waters.
Sea temperature is an obvious indicator of environmental change, particularly global warming and sets the biogeographic limits of marine organisms.
Over the period of the 20th century, Port Erin winter sea temperatures have warmed by about 0.66°C (mean linear trend). The warmest winters occurred in 1998 and 2002 with other warm winters in 1989 and 1990. The coolest winters occurred in 1917 and 1963 with other cool winters in 1941 and 1947. Increases in sea surface temperatures at Port Erin have been particularly marked in the last 20 years.
[Data available at http://www.mba.ac.uk/research/MECN/index.htm on request].
DW Sims & R Leaper


Since 1913 the Marine Biological Association has recorded the occurrence and relative abundance of 94 species of marine bottom dwelling fish intermittently during monthly trawls in the western English Channel (50°-50°16’N, 4°-4°24’W). Seven species of fish with latitudinal distributions south of 50°N were selected from this record: Mullus surmuletus (Red mullet), Pagellus bogaraveo (Red bream), Spondyliosoma canthurus (Black bream), Cepola macropthalma (Red band fish), Callionymus maculates (Spotted dragonet), Blennius ocellaris (Butterfly blenny), and Syngnathus acus (Greater pipefish). The mean sum of the frequency of occurrence in the monthly trawls of these species were used to devise the ‘southern species index’ SSI.
Marine fish support global fisheries of high economic value. This means that monitoring the abundance and distribution of species is important, given that any changes will doubtless have economic consequences both regionally and nationally.
The majority of marine fish species are ectothermic; hence their body temperature is the same as the surrounding environment. Fish have a specific thermal niche, which is defined as their preferred temperature ± 2oC. Therefore, fish are particularly sensitive to changes in sea temperature and as such, their occurrence, abundance and distribution reflects broader climate-linked temperature fluctuations. Furthermore, fish are at, or close to, the apex of marine food chains and so are likely to integrate a broad range of ecosystem health parameters. Taken together, this presents fish as ideal species to monitor climate and human-induced environmental change.
The sampling area in the western English Channel encompasses a faunal boundary between northern boreal and southern warmer water species, and at such boundaries responses to climatic variation are often greatest. This region has been subject to major climatic shifts, with mean annual sea surface temperature (SST) fluctuating within a range of 1.8ºC. These trends are consistent with the larger-scale patterns in Northern Hemisphere temperatures over the last century, namely warming in the 1950s and in the 1990s to the present day, following relatively cooler periods between 1900 and the 1920s, and the 1960s to the early 1980s.
In ‘warm’ years, the selected species were more frequently captured than during ‘cold’ years. The increase in the southern species index (SSI) was up to an order of magnitude higher in warming periods compared to cooler years. A modelled relationship between the SSI and SST enables predictions to be made concerning the occurrence of southern species with respect to future climate change. For example, given the forecast of an SST in the western English Channel of 13.2oC by 2020 (under the UKCIP Low Emissions Scenario), we predict that the occurrence of any of the selected species in trawls will reach 100%.
[Data available at http://www.mba.ac.uk/marclim/ on request].
R Leaper, SJ Hawkins & AJ Southward

Acorn barnacles are regarded as the most dominant and characteristic organism of midshore rocky intertidal communities worldwide. Rocky intertidal invertebrates are often sensitive bio-indicators of many types of environmental change and in this respect they are ideal subjects for monitoring in much the same way as terrestrial invertebrates.
The Western English Channel has been subject to major climatic shifts, with mean annual sea surface temperature (SST) fluctuating within a range of 1.8ºC. These trends are consistent with the larger-scale patterns in Northern Hemisphere temperatures over the last century, namely warming in the 1950s and in the 1990s to the present day, following relatively cooler periods between 1900 and the 1920s, and the 1960s to the early 1980s. Warming has been especially rapid in the last 20 years, with increases of up to 0.7 o C in this period.
During the period 1954-1961, a warm period, the WI was high,
between 50-100%. This typically
decreased to between 0-60% in the following cool period 1960 to the late
1980’s, whilst during the recent warm period (1996-2002), there has been a very
clear rise, up to 90%. Statistical
analysis shows a strong and significant correlation between changes in SST and
the switch in the relative abundance of the lusitanian species Chthamalus
montagui and Chthamalus stellatus and the more boreal species Semibalanus
balanoides, but with a two year lag (r = 0.56). If SST continues to rise in the Western
English Channel as predicted, then we predict that the two warm water species
will dominate the intertidal zone in southwest of the UK.
[Sea surface temperature data available BADC at http://badc.nerc.ac.uk/home. Barnacle data available at http://www.mba.ac.uk/marclim on request].
Southward, A.J. & Crisp, D.J. (1956) Fluctuations in the distribution and abundance of intertidal barnacles. Journal of the Marine Biological Association of the UK, 35, 211-229.
Southward, A.J. (1967) Recent changes in abundance of intertidal barnacles in southwest England: a possible effect of climatic deterioration. Journal of the Marine Biological Association of the UK, 47, 81-95.
Southward, A.J. (1991) Forty years of changes in species composition and population density of barnacles on a rocky shore near Plymouth. Journal of the Marine Biological Association of the UK, 71, 495-513.
Southward, A.J., Hawkins, S.J. & Burrows, M.T. (1995) Seventy years' observations of changes in distribution and abundance of zooplankton and intertidal organisms in the western English Channel in relation to rising sea temperature. Journal of Thermal Biology, 20, 127-155.
PC Reid, M Edwards & TH Sparks
Since the 1930s, marine plankton abundance has been measured in the North Atlantic and North Sea by towing a Continuous Plankton Recorders behind commercial shipping on defined routes. Two zooplankton indicators were originally selected from this record:
i. the total annual abundance of copepods (small shrimp-like crustaceans) in the North Sea (51-61ºN, 3ºW-10ºE) and
ii. the abundance of the cold-temperate copepod species, Calanus finmarchicus now averaged for the North Sea (51-61ºN, 3ºW-11ºE).
A third zooplankton index is presented here on the basis of new research:
iii. the percent ratio of the cold-temperate C. finmarchicus to its warm temperate sister species Calanus helgolandicus, both averaged for the whole North Sea (51-61ºN, 3ºW-11ºE).
Marine plankton are basic biological productivity units of our oceans and reflect both the health of the seas and the management of this resource by man. Copepods form an important part of the diet of fish and their larvae and these indicators provide therefore, integrated measures of ocean biological production in waters close to the UK. There is increasing evidence that copepod abundance reflects changing patterns of ocean currents and seawater temperatures. In this respect they are ideal subjects for monitoring environmental change.
The first index is largely based on small copepods and the second on the dominant large copepod in the northern North Atlantic that normally accounts for more than 80% of the zooplankton biomass. The third index is presented as a means of reflecting south to north movements of biogeographic zones as a response to global warming. The relative abundance of the two Calanus species has been shown to reflect both changing patterns of inflow of oceanic water into the North Sea and a northerly movement, by 10° latitude, of warmer water plankton in the last 40 years.
Invertebrates can multiply rapidly. Consequently their populations fluctuate readily in response to changing conditions. Two of the main variables commonly used as indices of environmental change in the North Atlantic region are the Gulf Stream Position index (GSPI) and the North Atlantic Oscillation (NAO) index. The former (available only since 1966) measures the position of the north wall of the Gulf Stream off the eastern coast of North America, such that high values indicate a more northerly path. The latter measures the difference in atmospheric pressure between Iceland and the Azores in the North Atlantic – when it is high there tends to be a strong westerly flow of relatively warm air over the UK.
The total abundance of copepods is positively correlated with the Gulf Stream position in April; that is, there are more small copepods when the Gulf Stream follows a northerly path. A strong ‘negative’ relationship existed between the abundance of C. finmarchicus in the northern North Sea and the NAO in winter (December to March) until 1995, such that strong westerly air flow in winter reduced the numbers of this copepods. This relationship has broken down since then.
Total annual abundance of copepods in the North Sea has varied greatly between about 250 and 1250 per 3m3 standard sample. Peaks have tended to be associated with a more northerly Gulf Stream position and the timing of the onset of spring stratification (the formation of a warmer surface layer in the sea).
In contrast, over the period 1958-1995, there has been a marked decline in populations of C. finmarchicus in the North Sea associated until ~1995 with a trend towards stronger westerly air flows over the Atlantic in winter (higher values of the NAO). The relationship appears to have broken down as a response to a number of factors that include rising temperatures in the North Sea (unsuitable for a boreal species), a northerly biogeographic shift and changes in the deep over-wintering habitat of the species in the Norwegian Sea.
A step-wise change has occurred in the relative abundance of the two Calanus species, in other copepods and for other trophic levels after the mid 1980s that is closely correlated with increasing Northern Hemisphere temperatures. This event has signalled a major reorganisation of North Sea ecosystems with an apparent increase in the growing season, increased deposition to the bottom, leading to a richer growth of benthic organisms and changes to the fishery. The extent to which the event is reversible is not clear, nor how North Sea ecosystems will respond to further rises in sea temperature. Also, the long-term response of the Gulf Stream to global warming is very uncertain. As good integrators of weather and hydrography these planktonic indicators are likely to give early warning of future change.
Beaugrand, G., Reid, P.C.,
Ibanez, F., Lindley, J.A., & Edwards, M. (2002) Reorganization of North
Atlantic marine copepod biodiversity and climate. Science 296,
1692-1694.
Reid, P. C. and G. Beaugrand
(2002) Interregional biological responses in the North Atlantic to
hydrometeorological forcing. In: Large marine ecosystems of the North
Atlantic. Changing states and sustainability. (eds K. Sherman & H. R.
Skjoldal), pp. 27-48. Amsterdam, Elsevier Science,
Reid, P. C. & Edwards,
M. (2001) Long-term changes in the Pelagos, Benthos and Fisheries of the North
Sea. Senckenbergiana maritima 31, 107-115.
Reid, P. C., Edwards, M.,
Beaugrand, G., Skogen, M. & Stevens, D. (In press) Ecological
consequences of oceanic inflow into the North Sea during the 20th century. Fisheries
Oceanography.
Taylor, A.H. (1995) North-south
shifts of the Gulf Stream and their climatic connection with the abundance of
zooplankton in the UK and its surrounding seas. ICES Journal of Marine
Science, 52, 711-721.
Taylor, A. H., Allen, J. I.
& Clark, P. A. (2002) Extraction of a weak climatic signal by an ecosystem.
Nature 416, 629-632.
[Data available at: The Sir Alister Hardy Foundation for Ocean Science, The Laboratory, Citadel Hill, Plymouth, PL1 2PB. The plankton data are available from the SAHFOS Data Manager and in part on http://www:sahfos.org. Gulf Stream position data are available from http://www.pml.ac.uk/gulfstream/default.htm and the North Atlantic Oscillation data from http://tao.atmos.washington.edu/data_sets/nao/)
Continuous Plankton Recorders (CPRs) have been towed behind merchant ships to monitor the plankton on a number of routes across the North Sea each month since January 1946. A four metre band of the filtering silk used in these instruments provides a ‘film’ of the plankton along a transect of ~450 nautical miles. Phytoplankton Colour is a simple index of chlorophyll (a basic measure of phytoplankton biomass) determined from a visual assessment, into four categories, of the colour of the CPR sampling silk. The methodology used has not changed since January 1946. Annual means of the data are plotted for the North Sea defined by 51°-61°N, 3°W-10°E based on results from xxx samples. Other data for this index are available on the SAHFOS web site averaged for xxx Standard Areas covering the northern North Atlantic.
Phytoplankton are at the base of the food chain in the seas around the UK; variability in their composition and abundance is thus crucial for all other marine life. They are sensitive indicators of environmental change and can be used to help distinguish anthropogenic from natural variability especially with respect to eutrophication and climate change. A number of phytoplankton species cause Harmful Algal Blooms and are toxic; information on natural change from the CPR helps to interpret the mechanisms behind HAB and develop management strategies.
Phytoplankton Colour has shown pronounced changes over time with a step-wise increase in the index after about 1987, which reflects a much earlier and longer growing season as well as higher levels of Colour in the summer months of the year. These changes are also reflected in other trophic levels of the plankton in the biomass and diversity of the benthos (animals living in and on the bottom) in fish catches, in returns of salmon to home waters, in nutrient concentrations and in the inflow of oceanic water into the North Sea. The latter has been shown to be highly related to the North Atlantic Oscillation and as the major source of nutrients to the North Sea has an important impact on productivity. The step-wise change in all these variables is also reflected in Northern Hemisphere temperatures, the NAO.
Edwards, M., Reid, P.C. and Planque, B. (2001)
Long-term and regional variability of phytoplankton biomass in the north-east
Atlantic (1960-1995). ICES Journal of Maine Science 58, 39-49.
Edwards, M., Beaugrand, G., Reid, P.C., Rowden, A.A.
and Jones, M.B. (2002) Ocean climate anomalies and the ecology of the North
Sea. Marine Ecology Progress Series, 239, 1-10.
Reid, P.C. & Edwards, M. (2001) Long-term changes
in the pelagos, benthos and fisheries of the North Sea. Senckenbergiana
Maritima, 32, 107-115.
We used a number of criteria to appraise the strengths and weaknesses of the seven candidate indicators detailed in this report, and shown in Tables 3.1 and 3.2, below. These criteria followed those detailed in APPENDIX II (‘Indicators Omitted Or Rejected’) of the 1999 Report.
|
Criteria
for selection |
SST |
Fish |
Barnacles |
Plankton |
Colour |
|
Are
long-term data sets available? |
1903- |
1913- |
1955- |
1958- |
1948- |
|
Does
the historic record show indicators are sensitive to temperature? |
n/a |
ü |
ü |
ü |
ü |
|
Or,
are indicators insensitive to non-climatic factors? |
n/a |
x |
x |
ü |
ü |
|
Will
the indicator produce a long-term trend? |
ü |
ü |
ü |
ü |
ü |
|
Are
data sets readily available?* |
ü |
ü |
ü |
ü |
ü |
|
Are
indicators readily understandable by intelligent laymen? |
ü |
ü |
ü |
ü |
? |
As with all long time series however, there are some caveats. There are missing data in some time series due mainly to the two world wars (1914-1918 and 1939-1945) and the NERC funding crises in the late 1980’s when many monitoring programmes in the UK were stopped. Missing data can reduce the statistical power for trend detection and thus make interpretation of long-term trends difficult. As already discussed, some indicators will be influenced by other factors, such as biological interactions and other anthropogenic activities. However, this will be the case for any biological indicator, not just those from the marine environment, for example, many terrestrial species are greatly affected by land use change and pollution. What is key here is that climate impacts can be demonstrated over and above other impacts.
In general the strength of the
new marine indicators (caveats included) are that they include a range of
marine habitats; open ocean, inshore waters and the rocky intertidal, and a
range of taxa at different trophic levels; plankton, invertebrates and
fish. We have also included a physical
indicator made up of empirical rather than interpolated or modelled data. In terms of data quality (missing years
aside), these series are comprehensive in their coverage over the last 50-100
years. The quality is also very good
consisting of largely quantitative data rather than qualitative. Most importantly, the systematic
archive and (more recently) analysis of time series with respect to global
climate change is now being conducted.
However although funds for the next 5 years have been secured to
co-ordinate the continued collection and analysis of marine data, longer-term
support is needed to continue these valuable time series.
Acknowledgements
This
contribution is referenced by the MBA as: C023 1020 D4 021. The contributors are Dr. Rebecca Leaper 1
(Co-ordinator of the contract and correspondent for the report) Dr. Nick
Hardman-Mountford 1Dr. Philip C. Reid 2 Dr. David Sims 1
with acknowledgements to Prof Steve Hawkins 1, 3 (Director, MBA) and
Prof Alan Southward 1, 3 (Research Fellow).
1. The Marine Biological Association, The Laboratory, Citadel Hill, Plymouth PL1 2PB.
2. The Sir Alister Hardy Foundation for Ocean Science, The Laboratory, Citadel Hill, Plymouth PL1 2PB.
3. Data on bottom living fish provided by the MarClim project.
4. Data on barnacles, marine plankton, and plankton colour provided by SAHFOS
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This is a new indicator, calculated from the daily Central England temperature (CET) record. A graph of the Length of the Thermal Growing Season appears in the UKCIP Climate Change Scenarios (UKCIP, 2002) for the period 1772 to 2001, as Fig. 7. This is calculated relative to a threshold of 5.5oC. More recently, this series was the subject of a letter to Weather (Mitchell and Hulme, 2002) where, with a threshold of 5oC, it was proposed as an Indicator. Mitchell and Hulme define the thermal growing season length as beginning when the temperature on five consecutive days exceeds a threshold of 5oC, and ending when the temperature on five consecutive days is below that threshold. It runs between the first day of the former period, and the day preceding the latter period.
For the Indicators update, recent daily CET data were requested from Phil Jones of the Climatic Research Unit, and supplied to Tim Mitchell of the Tyndall Centre for Climate Change, so that he could perform the update to 2002. This was done relative to the 5oC threshold. The data have been plotted and a smoothed curve added so that the general trend can be seen. A sample plot is shown below, for the period 1900 – 2002 (over which the climatological indicators are plotted in the original Indicators report).
Figure 11.1 Thermal growing season length, calculated
from CET
The longest growing season in the 229-year record was 330 days, in 2000. However, the second longest value, and only one day shorter, occurred in 2002 (329 days). According to Mitchell and Hulme (2002), there was an increase in growing season length over the twentieth century of 28 days, which took place mainly in two phases: 1920 – 60, and 1980 – 2000. Whereas the earlier period saw both an earlier onset of spring and a later onset of autumn, all of the recent increase has been due to an earlier onset of spring. This result agrees with the results of other authors, for example Menzel and Fabian (1999).
This indicator has public resonance, since it is of importance not only to farmers planning their sowing and harvesting operations, but also to gardeners. It has policy relevance to DEFRA, because of its relevance to the agricultural and land management community. It is highly sensitive. It is unlikely that this series will prove difficult to update in the future, since daily CET is supplied on a regular basis by the UK Met. Office to the Climatic Research Unit. The programming to derive the index from daily CET is simple and straightforward. Its major disadvantage as a headline indicator is that it is not strictly socio-economic, being derived purely from climatological data. Further, to be a true measure of growing season length, it should take into account moisture availability, and this will become more relevant in future under conditions of climate change.
Hulme,M., Jenkins,G.J., Lu,X., Turnpenny,J.R., Mitchell,T.D., Jones,R.G., Lowe,J., Murphy,J.M., Hassell,D., Boorman,P., McDonald,R. and Hill,S., 2002: Climate Change Scenarios for the United Kingdom: The UKCIP02 Scientific Report. Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK. 120pp.
Menzel, A., and Fabian, P., 1999: Growing season extended in Europe. Nature, 397, 659.
We also note the following works on discriminating between weather and non-weather related insurance claims:
Pielke, R. A. and Downton, M. W. 2000. Precipitation and damaging floods: trends in the US, 1932-97. Journal of Climate 13, 3625-3637.
Meehl, G. A. et al. 2000. An introduction to trends in extreme weather and climate events: observations, socio-economic impacts, terrestrial ecological impacts and model projections. Bulletin of the American Meteorological Society 81, 413-416.
Sarewiz, D and Pielke R. 2001. Extreme events: a research and policy framework for disasters in context. International Geology Review 43, 406-418.
|
Deaths in Scotland by month of registration,both sexes |
|
|
|
|
|||||
|
BOTH SEXES |
|
|
|
|
|
|
|
|
|
|
YEAR |
TOTAL |
JAN |
FEB |
MAR |
APR |
MAY |
JUN |
JUL |
AUG |
|
1997 |
59,494 |
7,014 |
5,070 |
4,505 |
5,058 |
4,706 |
4,655 |
4,586 |
4,226 |
|
1998 |
59,164 |
5,241 |
4,883 |
5,607 |
5,218 |
4,492 |
4,730 |
4,665 |
4,512 |
|
1999 |
60,281 |
6,428 |
5,675 |
5,588 |
4,667 |
4,271 |
4,735 |
4,300 |
4,672 |
|
2000 |
57,799 |
7,564 |
4,763 |
4,842 |
4,294 |
4,886 |
4,484 |
4,310 |
4,401 |
|
2001 |
57,382 |
5,976 |
4,654 |
5,163 |
4,802 |
4,713 |
4,243 |
4,523 |
4,549 |
|
|
|
|
|
|
SEP |
OCT |
NOV |
DEC |
|
4,565 |
5,025 |
4,495 |
5,589 |
|
4,635 |
4,731 |
4,978 |
5,472 |
|
4,360 |
4,354 |
5,021 |
6,210 |
|
4,211 |
4,741 |
4,708 |
4,595 |
|
4,188 |
4,926 |
4,576 |
5,069 |