- In 2016, with the addition of new services, the partial asset value of UK natural capital was estimated to be nearing £1 trillion (£951 billion).
- On average annually, people in Wales spend over three times longer on outdoor recreation than people in England.
- In 2018, feedstock and grazing for livestock made up 61% of UK agricultural biomass.
- The cooling shade of trees and water saved the UK £248 million by maintaining productivity and lowering air conditioning costs on hot days in 2017.
- Our models suggest 1,238 years of life were saved through vegetation removing air pollution in 2017.
- Renewable energy generation grew from 5% of all electricity generation in 2008 to 35% in 2018.
- In 2018, coal production was at an all-time low, 16 times less than in 1998.
- UK timber production has increased 51% between 2000 and 2018, mainly in Scotland.
- In 2016, living within 500 metres of green and blue space was estimated to be worth £78 billion to UK homes.
This article looks at natural capital assets, the flows and values of services – terms that help us think logically about how to measure aspects of the natural world and their impact upon people. Natural capital assets are things that persist long-term, such as mountains or a fish population.
From these assets, people receive a flow of services, such as mountain hikes and fish captured for consumption. We can value the benefit to society of those services by estimating what the hikers spent to enable them to walk over the mountain or any profit from bringing the fish into the market. Applying this logic consistently across assets and services enables us to start building accounts of the UK’s nature.
Where available, estimates are presented between the period 1997 to 2017 and all monetary valuations are given in 2018 prices deflated using the HM Treasury June 2019 GDP deflators. Methods for some services have been developed since the 1997 to 2015 UK Ecosystem Service Accounts. These changes reduce consistency between individual ecosystem services across reports but all figures in this report use the same methods.
It is recognised that the UK accounts remain experimental and future UK publications will be subject to methodological improvements. Ecosystem service valuations offer comparative analysis across services whereas physical flows provide information about the changes over time independent of price changes.
The services are presented by type, which include provisioning, regulatory and cultural. Types of service are defined at the beginning of each section.
Several ecosystem services are not being measured in this article, so the monetary accounts should be interpreted as a partial or minimum value of UK natural capital.Nôl i'r tabl cynnwys
The Office for National Statistics (ONS) natural capital accounts are produced in partnership with the Department for Environment, Food and Rural Affairs (Defra). Further details about the natural capital accounting project are also available.Nôl i'r tabl cynnwys
This article presents 13 service accounts, containing estimates of the quantity and value of services being supplied by UK natural capital.
|£ million||Percentage change|
|2016||2017||2016 to 2017||2009 to 2016|
|Air pollutant removal||43,907||44,229||1||-0.6|
|Aesthetic (house prices)*||9,428||-||-||-16|
|Recreation (house prices)*||68,552||-||-||23|
Download this table.xlsx .csv
This article uses the term “ecosystem service” throughout, which generally refers to living (biotic) components of the Earth that provide services to humanity. However, non-living (abiotic) components, such as oil and gas used for energy, are also included in this release. A summary of the main trends is presented in this article, but more information can be found in the datasets accompanying this release.Nôl i'r tabl cynnwys
Provisioning ecosystem services create products such as food, water, and materials. They are produced by nature and consumed by society.
Provisioning services currently included in the UK natural capital accounts are:
- agricultural biomass
- fish caught
- water abstraction
- fossil fuels
- renewable energy
Figure 2 shows a time series of the annual valuation for the provisioning services. The total value of provisioning services in the UK fluctuated throughout 2003 to 2016, at its highest in 2008 and lowest in 2015. Between 2011 and 2015, the total annual value for provisioning services declined. The increase in the value of fossil fuels drove the peak in 2008 and represented 85% of the provisioning service valuation, for that year. However, in 2015 fossil fuels had a negative impact on the overall annual valuation, decreasing it by 22%. The decline in the value of fossil fuels is the result of falling production, price decline, and increasing costs.
Agricultural biomass includes the value of crops, fodder and grazing. Farmed animals are not included in these estimates as they are considered produced rather than natural assets. The food eaten by farmed animals, such as grass and feed, is included.
The 17.5 million hectares of utilised agricultural land made up 72% of total UK land area in 2018. Utilised agricultural area has declined around 5% over the last 30 years. The largest change within this period was between 2008 and 2009 where utilised agricultural land declined by 0.4 million hectares (2%). Since 2015, utilised agricultural land area has been slowly increasing.
Throughout the timeseries, meeting the feed requirements of livestock makes up the majority of agricultural biomass. On average 62% of total agricultural biomass was animal feed, being feedstocks and grazed biomass. Between 1988 and 2018, combined cattle and sheep population declined 18%, causing a 14% drop in UK-grown animal feed. While grazed biomass declined 41%, feedstocks increased 62% over this period.
With more feedstocks and fewer livestock, grazing is contributing less to feeding than in the past. In 1988, grazing made up 74% of livestock feed and in 2018 this was 51%.
Over a 30-year trend arable production has remained stable while horticulture has seen a 16% decline from 1988 to 2018. On an annual basis arable and horticulture see fluctuations, with annual increases up to 18% in 2007 and annual declines of 12% in 2000 and 2011.
Valuation of agricultural biomass provisioning
Previous UK ecosystem service accounts have provided resource rent annual valuations using the residual value approach. This is the surplus value to the agricultural industry after all costs have been considered. Estimated at an aggregate scale it may include non-agricultural aspects of farm businesses.
As part of our development, we will look at alternative measures of capturing food production value. Figure 4 compares the industry resource rent residual value approach with an aggregated whole farm income and farm rent approach.
Whole farm income is the total income from agricultural production (excluding subsidies) net of costs (excluding taxes). This is like the residual value approach but calculated at a farm output level.
Farm rent is an imputed estimate of total rental costs for agricultural land.
For further details on these approaches please see the Methodology guide.
The spike in whole farm income between 2001 and 2002 was the result of a significant drop in farming costs. The average costs for agriculture per farm fell from £137,000 to £47,000, returning to typical levels in 2003 (£147,000). This spike is not reflected in farm rents or the industry residual value. We are unsure of the specific drivers of this fluctuation but for context, 2001 was the year a foot and mouth disease outbreak occurred in Great Britain.
Farm Business Tenancy costs fell to £150 per hectare in 2006 and have since gradually increased to £227 per hectare in 2017. This has affected total farm rent.
Using the industry residual value, agricultural biomass provisioning service annual valuations show a high of £7.5 billion in 2003 and a low of £1.9 billion in 2007. In 2017 the agricultural biomass annual valuation was £5.4 billion.
We have been working to improve our fisheries statistics and more work is needed. We rely on a range of external sources which all involve known uncertainties. For instance, Norway and Faroese landings are excluded from this analysis. The economic data are based on UK fleet data which we also apply to foreign vessels that may face different costs and prices. In addition, UK boundaries do not perfectly align with the geographical areas of fish capture statistics. For more detail on how fish capture in UK waters is estimated, see the Marine Management Organisation Exclusive Economic Zone Analysis and associated publications.
Marine fish capture in UK waters has increased nearly a third since 2003 from 1,032 thousand tonnes to 1,349 thousand tonnes in 2016.
Aquaculture or farmed fish, like farmed livestock, have been removed from estimates as farmed fish are viewed as a produced asset and not a natural asset. For more information on the method please see the Methodology guide.
Over the last three years, most of the fish capture in the UK was in Scottish waters representing on average three quarters of the total amount of fish caught (see Figure 5). According to the UK Sea Fisheries 2016 report, landings by Scottish vessels have increased significantly since 2014 as a result of greater mackerel landings.
The value of fish capture is calculated using net profit per tonne (landed) estimates, provided by Seafish, for different marine species. For more information on how we calculate the value please see the Methodology guide. We only present the years 2015 to 2016 because of a lack of price data in some of the other years.
Between 2015 and 2016, the value of marine fish capture in UK waters increased by over three quarters, from £184.1 million to £323.8 million in 2016. This was primarily caused by an increase in the value of fish capture in Scotland which increased by 125% between these years, while the value of the other countries broadly stayed stable (see Figure 6).
In Scottish waters, mackerel represents around a third of all species fished and the net profit of mackerel more than doubled between 2015 and 2016. According to the 2016 Scottish Sea Fisheries Statistics report, mackerel was the most valuable stock during 2016, with the average price increasing by 35% from £664 per tonne in 2015 to £895 per tonne in 2016.
As can be seen from Figure 8, Scottish production has driven the UK trend, with production increasing 316% between 1988 and 2018, and 62% of timber sourced from Scotland in 2018. Forest research data for 2018 reveals Scotland to have 45.5% of the UK’s woodlands.
Private sector production has driven much of the timber removals increase. Between 1988 and 2018, public sector timber production increased 53% and private sector timber production increased 192%. From 1976 to 2009, most of the timber production (56%) came from the public forestry estate. However, from 2010 to 2018 the private sector has made up the majority (56%) of timber production. The change is primarily the result of differences in the age structure and timing of timber production between woodlands on the public and private forest estates following a period of high levels of planting by the private sector in Scotland between 1970 and the late 1980s.
Timber production’s steadily increasing annual value fluctuations, shown in Figure 9, are caused by stumpage price trends. The stumpage price is the price paid per standing tree for the right to harvest timber from a given area. Prices hit a low of £5.60 per cubic metre overbark standing in 2004, and have since increased to £24.64 in 2018, driving an overall valuation time series high. Using projected timber removals over the next 100 years, the asset valuation of the timber provisioning service reached over £10 billion in 2018.
The annual value of water abstraction more than doubled from 2015 to 2016, to £3,513 million.
From 2005 to 2014, the amount of water being abstracted for public water supply declined by 12%, to 6,443 million cubic metres. A possible reason for this could be the Water Act 2003, calling for a more efficient and sustainable use of water, as well as the installation of water meters.
Since 2014, water abstraction for public water supply started to increase, rising to 6,697 million cubic metres in 2017. This was driven by increasing water abstraction in England, while water abstraction in Scotland and Wales declined.
The annual value of water abstraction provisioning in 2017 was £2.54 billion. Currently monetary estimates are derived from information about economic activity relating to the collection, treatment and supply of water.
We are exploring alternative methods used to value water provisioning services, with the aim to look at the short-term cost and certainty, and long-term sustainability of the UK’s water supply. Our aim is to capture the impact of the changing demand for water, and of climate change on the UK water supply by reporting on:
- current and projected demand and water abstraction levels
- weather forecasts and costs of ecologically excessive abstraction
- water movements by truck
- restrictions on supply
Because of population growth in England, and climate change, demand for water is forecast to continue to increase (PDF, 622.88KB), Environment Agency 2018. However, current levels of water abstraction are already unsustainable in certain regions, creating pressure on our water resources. Climate change effects are predicted to lead to increasing winter rainfall and reducing summer rainfall resulting in floods in the winter and droughts in the summer.
UK minerals production generally remained stable between 1997 and 2007. After 2007, with the economic downturn, mineral production declined by 20% to 208 million tonnes in 2010. Since then production has stabilised, with 211 million tonnes produced in 2017.
While almost all minerals have shown production decline since 1997, trends have been driven by construction minerals, averaging 94% of production. In 2017, salt was the only mineral with greater production than 1997 levels, which was 128% greater. Approximately 30% of salt is used in solid form as rock salt, mostly for de-icing roads, and 70% is used in brine (British Geological Survey).
The decline in the extraction of minerals used in the construction industry for building of houses and infrastructure corresponds with the drop in UK house building, which declined by 39% between 2007 and 2013 (Figure 12). Construction minerals production declined by 26% during the same period. Since 2013, there has been a 44% increase in house building in the UK but only an 11% increase in construction mineral production. This could be attributed to the permitted reserves not being replenished because of planning constraints (British Geological Survey). Between 2013 and 2017, UK imports of construction minerals increased by 117%.
Peat extraction in the UK declined by 50.6% between the years 1997 and 2015. Peatlands can store a large amount of carbon and those that have been modified are emitting greenhouse gases. The peatlands emitting the largest amount of CO2 are lowland peat which has been drained for farmland. These emit around 32% (7,600 kt CO2e yr-1), grasslands emit 27% (6,300 kt CO2e yr-1), woodland emits 20% (4,600 kt CO2e yr-1) and semi-natural peatlands emit around 15% (3,400 kt CO2e yr-1). For further information, please see the Peatlands Publication.
The extraction of iron ore gradually declined between 1997 and 2008 from 1,210 tonnes to 145 tonnes. Lead production has also declined from 1,600 tonnes in 1997 to 100 tonnes in 2016. Tin production ended in 1998 with the closure of Crofty tin mine in Cornwall but production has recommenced with the re-opening of the Hemerdon tin mine in south-west Devon in 2015. In 2015, the production of tungsten has recommenced in Devon.
In 2016, new gold mines were found in Omagh and Curraghinalt, Northern Ireland and Cononish, near Tydrum, Scotland.
Using the resource rent approach (see Methodology guide), the annual value of mineral provisioning fluctuated between the years 1998 to 2017. There are costs incurred for making use of natural resources, and before 2003 these estimated costs outweighed income from the extraction of minerals. In 2017 the annual value increased to £387.8 million.
Oil and gas production peaked around the start of the century and has gradually declined since. Oil and gas production has had some growth in recent years which may be related to lower production costs as a result of the tax relief announced in the 2015 summer budget.
With government policy to end coal-fired energy generation by 2025, coal extraction is generally being phased out across the UK. In 2018, coal production fell to an all-time low of 1.7 million tonnes of oil equivalent – about 6% of the quantity extracted 20 years earlier.
Before 2005, domestic production of oil and gas exceeded demand. During this period combined exports of primary oils, petroleum products, and natural gas was greater than imports. Driven largely by declining production, from 2005 onwards demand has exceeded domestic production and so overall imports have been greater than exports.
While demand for oil products and natural gas both fell by 18% between 1998 and 2018, oil and gas production has fallen much faster. Combined production fell by 61% from 1998 to 2018 or 62% for oil and 59% for gas.
From 1998 to 2018, domestic production of coal has not met demand, but in recent years this gap has become relatively small. Over this period domestic production has decreased by 94% and demand has decreased by 80%. In 1998, 18% of the UK’s primary energy demand came from coal, compared to 4% in 2018.
The annual valuation of fossil fuels abiotic provisioning has varied, driven largely by oil and gas price changes and production trends. The largest year-on-year real price increases were seen from 1999 to 2000 (67% for oil and 100% for gas), which saw gas prices double, and 2007 to 2008 (41% for oil and 69% for gas). These spikes are reflected in the annual valuation. In 2018 the annual value increased to £11.52 billion because of oil and gas price increases of 24% and 31% respectively.
Consumption of UK-extracted fossil fuels has a carbon cost. This is based on the cost of the carbon removal required to meet an emission reduction target. In 2018 the carbon cost of using the fossil fuels extracted was £16.35 billion. This carbon cost was made up of £11.09 billion for oil, £4.86 billion for gas, and £0.42 billion for coal.
Renewable electricity generation
Electricity generated from renewable sources has increased dramatically over the last 10 years, with 2018 generation more than five times greater than 2008. National and international incentives, including the EU Renewable Energy Directive and Renewable Obligation (RO) target, have helped contribute towards the increase.
Most years have seen an increase in the total generation of renewable electricity. However, 2003 showed a 9% decline which can be attributed to a reduction in electricity generated from hydropower. This could be the result of a 28.5% reduction of rainfall in 2003. This is also reflected in the hydro generation load factor, a measure of generation efficiency using a ratio of actual to potential total generation capacity, which decreased from 34% to 23% from 2002 to 2003.
In 1998, 59% of renewable electricity generation was from hydropower. Despite hydropower generation staying relatively stable, in 2018 its share of renewable generation was 5% as other renewable generation increased. Wind, solar, and bioenergy contributed 52%, 12% and 32% respectively to the UK renewable electricity generation in 2018.
Between 2015 and 2016 there was an 8% reduction in the generation of electricity from wind. This could be attributed to the reduction of average wind speeds from 9.4 knots to 8.4 knots which more than offset the 12.8% increase in capacity. This is also reflected in the wind generation load factor, which decreased from 34% to 28%.
In 2008, electricity generated from renewable sources accounted for 5% of all electricity generation. Since 2008, electricity generation from renewables has seen an average yearly increase of 19%, or around nine thousand gigawatt hours.
Over the 10 years from 2008 to 2018, England’s contribution to UK renewable electricity generation increased from 48% to 71%. Scotland’s contribution declined from 41% to 20% despite increasing generation. This is because hydropower, which is largely in Scotland, was historically the largest renewable electricity generation source in the UK. Hydropower now only accounts for approximately 4%, down from around 22% in 2008, of the UK’s electricity generated from renewables in 2018. Northern Ireland’s and Wales’ share of UK renewable generation remained around 3% and 5% respectively.
In England, the number of renewable electricity generation sites increased from 3,098 in 2008 to 728,197 in 2018 as shown in Figure 22. This has largely been driven by an increase in the number of solar sites from 26,048 in 2010 to 859,151 in 2018. Despite this increase in the number of sites, solar electricity generation only accounted for 9% of electricity generated from renewables in 2018. In 2018, England held 84% of the UK renewable electricity generation sites compared to 3% in Northern Ireland, 7% in Scotland, and 6% in Wales.
The annual value of renewable energy provisioning has increased 403% between 2008 and 2017 alongside the growth of the renewable sector. In 2017 the annual value of renewable energy provisioning was £686 million.Nôl i'r tabl cynnwys
As well as tangible provisioning services, natural assets provide several less visible services known as regulating services. Regulating services include cleaning the air, sequestering carbon and regulating water flows to prevent flooding.
This section presents four regulating ecosystem services:
- carbon sequestration
- air pollution removal
- noise mitigation
- urban cooling
The pollutants covered in pollution removal are:
- nitrogen dioxide (NO2)
- ground-level ozone (O3)
- ammonia (NH3)
- sulphur dioxide (SO2)
PM2.5 is a component of PM10.
Air pollution leads to respiratory diseases in humans. The risk of those diseases for a population can be estimated based on the levels of pollution and the health costs of that disease.
Both carbon sequestration and air pollution removal are carried out by vegetation. The capacity for vegetation to remove carbon sequestration and air pollution changes with the amount of vegetation.
The valuation methods used differ; carbon sequestration is a removal cost, and air pollution removal is a societal cost. That is, we are measuring the value of avoiding damage (for carbon) and the value of treating existing damage (for air pollution). Air pollution removal valuation does not account for the cost of abatement, and carbon sequestration valuation does not consider the global societal impacts of carbon dioxide.
Carbon sequestration and air pollution removal are provided by a range of habitats, with woodland being the primary supplier for both. As can be seen by Figure 24, the value of carbon sequestration has generally increased annually, valued at £1.0 billion in 2017. Pollution removal annual value has fallen from almost £2.0 billion in 2007 to £1.3 billion in 2017. These changes are not driven by changing conditions or the extent of vegetation; carbon prices are increasing over time while UK air pollution levels are falling.
Although the amount of carbon sequestrated is substantially more than the amount of air pollutants removed by vegetation (over 20 times more), the benefits of removing air pollutants are higher than carbon sequestration (see Figure 24). On average throughout the time series, the benefits of removing one tonne of air pollutant was about 22 times higher than carbon sequestration. This is because pollutants, predominately PM2.5, have large impacts on human health, and even a slight removal of this type of pollutant will have a large benefit to humanity. This is further explained in the Air pollution removal section.
Urban cooling and noise mitigation are provided by the urban habitat. The data are not available for the whole time series. In 2017, urban cooling and noise mitigation accounted for 10% of the value of the selected regulating services – £263 million. In 2017, the four regulating ecosystem services were valued at £2.6 billion (Figure 24).
When using this analysis, it is important to note that we do not capture all carbon sequestration. Because of a lack of data, values related to carbon sequestration by marine ecosystems are not included in the current estimates. Furthermore, peatlands, which are a significant source of emissions, are only partially seen in the data.
A recent report by the Centre for Ecology and Hydrology for the Department for Business, Energy and Industrial Strategy, estimates that damaged peatland emissions (23 million tonnes of CO2 equivalent) negate all terrestrial sequestration in the UK. For more information on the data gaps please see the Methodology guide.
A presentation of natural capital accounts based on the impacts from nature acting naturally would include sequestration from ancient woodland but might exclude plantation forests. Emissions from damaged green spaces would not be included, as this is essentially a form of human-driven pollution, but emissions from a volcano would.
Another view of natural capital would state that all natural habitats are somewhat modified. Usually human intervention is required to capture value and so the possibility of valuing many natural services (notably renewable energy) as if they were separate from human action is impossible. Under a combined nature and human approach, greenhouse gas emissions from poorly managed peatland should be included.
This is an area of research to consider further as our accounts develop. In this report we continue to use gross carbon sequestration as the asset value but present analysis of the net value to provide a rounded picture.
If we examined only sequestration, gross carbon sequestration of UK natural habitats was 28.0 million tonnes in 2017. This provides a service worth £1.85 billion yearly and an asset valuation of £105.6 billion. However, this excludes the emission costs related to the management of natural habitats.
In 2017, forest land removed 18.0 million tonnes of carbon, equating to a value of around £1.19 billion annually and an asset valuation of £53.9 billion. In contrast, cropland emitted 11.4 million tonnes as a result of the loss of carbon stock when converting grassland to cropland. This means UK croplands provide negative net carbon sequestration valued at negative £0.76 billion annually, with an associated negative asset value of £71.5 billion. This could be seen as a hidden cost of food production and in principle could be netted off with market-based costs such as fertiliser and fuel within the agricultural biomass account.
Overall net carbon sequestration in the UK was 15.1 million tonnes in 2017. 52% of net carbon sequestration was from England, 39% from Scotland, 5% from Wales, and 4% from Northern Ireland. Per hectare, Scotland has the greatest net carbon sequestration at 0.74 tonnes because it has the largest amount of forest cover. England is the second greatest with 0.60 tonnes per hectare, followed by Wales at 0.40 tonnes per hectare, and Northern Ireland at 0.38 tonnes per hectare.
Net carbon sequestration from land use was greatest in 2017, with 14.5% more carbon removed than 10 years earlier. UK net carbon sequestration has been gradually increasing. Declining cropland emissions and increasing grassland sequestration have driven the increase. Cropland decreased by 12.2% and grassland increased by 16.4%. Meanwhile, forest land sequestration remained stable.
An increase in net carbon sequestration and carbon prices resulted in a 32.9% rise in the annual valuation from £0.75 billion to £1.00 billion from 2007 to 2017. In 2017 the asset valuation of UK net carbon sequestration from land use was £30.67 billion.
Henderson et al. (2018) estimate that a further 30 million tonnes of carbon could be sequestered per year through land use change. This would more than double current estimated natural sequestration. 15 million tonnes would come from expanding woodland by 1.2 million hectares. 10 million tonnes would be sequestered in soils following changes in agricultural processes. The other five million tonnes is driven by habitat restoration.
Air pollution removal by vegetation
In 2017, the removal of pollution by vegetation in the UK equated to a saving of £1.3 billion in health costs.
The World Health Organisation estimated that air pollution contributed to 7.6% of all deaths in 2016 worldwide. Vegetation can play a useful role in lessening this danger by removing air pollution. Polluting gases are absorbed by leaves’ stomata, and particulate matter, suspended in polluted air, settles onto leaves.
This physical flow account estimates the quantity of pollutants removed from the atmosphere by vegetation such as woodland and grassland1. An annual time series from 2007 to 2017 is available in the datasets section on this publication.
In 2017, vegetation in the UK removed 1,298.9 thousand tonnes of PM10, SO2, NO, NH3 and O3 (excludes PM2.5 as a subset of PM10). Ground-level ozone (O3) represented the majority of total pollution removal (90.3%) in 2017 shown in Figure 27. NH3 is the second largest pollutant removed, closely followed by PM10.
It is estimated that in 2017 the avoided health costs in the form of avoided deaths, avoided life years lost, fewer respiratory hospital admissions, and fewer cardiovascular hospital admissions amounted to a substantial £1.3 billion. Although the removal of PM2.5 represents only 1.7% of total pollution removed, nearly 90% of the avoided health impacts are to the result of reductions in PM2.5 concentrations, removed primarily by woodland (see Figure 28). This is because PM2.5 removal accounts for 94% of the 26,000 avoided years life lost from pollution removal in 2017. When split by health impact, the greatest value comes from avoided loss of life years which equates to £1.3 billion in health savings (see Figure 29).
The most harmful pollutant is PM2.5 (fine particulate matter with a diameter of less than 2.5 micrometres, or 3% of the diameter of a human hair), which can bypass the nose and throat to penetrate deep into the lungs, leading to potentially serious health effects and healthcare costs.
|Pollutant||Avoided Impacts||Year 2017|
|PM2.5||Respiratory hospital admissions||4.7|
|Cardiovascular hospital admissions||4.2|
|Life years lost||1,166.5|
|SO2||Respiratory hospital admissions||0.7|
|NO2||Respiratory hospital admissions||0.9|
|Cardiovascular hospital admissions||0.8|
|Life years lost||71.2|
|O3||Respiratory hospital admissions||43.4|
|Cardiovascular hospital admissions||6.9|
|All pollutants combined||Respiratory hospital admissions||49.7|
|Cardiovascular hospital admissions||11.9|
|Life years lost||1,237.8|
Download this table.xlsx .csv
The present value long-term asset value calculated over a 100-year period with income uplift and population growth, is £44.2 billion (2018 price base).
Noise mitigation by vegetation
Noise mitigation by vegetation in UK urban areas led to a minimum saving of £15.3 million in associated health costs in 2017.
Vegetation acts as a buffer against noise pollution, in particular road traffic noise. Noise pollution causes adverse health outcomes through lack of sleep and annoyance. To inform the UK natural capital accounts, Eftec and others (2018) have developed initial estimates of the benefits of noise reduction from vegetation.
Eftec and others developed a number of estimates based on different methodologies and datasets. The flows and values presented in this section are calculated using the most conservative approach. This is because we only account for buildings within noise bands above 60 decibels (dBA) where the noise reduction effect is constrained at one dBA.2 According to the noise action plan in urban areas published by the Department for Environment Food and Rural Areas (Defra), four million people were in agglomerations where road traffic was above 60 dBA. An example of sound that produces 60dBA is normal speech. These are considered minimum values, but further work is needed to develop more refined and robust estimates.
Table 3 provides estimates of the physical flow of the service. The total number of buildings in UK urban areas benefiting from a reduction in noise was 167,000. Out of the countries, England reported the largest number of buildings benefiting from noise reduction.
|Noise band in noise |
metric by decibel¹
|Number of buildings benefiting from noise mitigation by urban |
vegetation² (rounded to the nearest thousand)
Download this table.xlsx .csv
The total annual value of noise reduction in the UK was £15.3 million in avoided loss of quality-adjusted life years (QALY) during 2017. To calculate this, Eftec and others used economic valuation guidance and a transport noise modelling tool developed by Defra which provide marginal values for changes in noise (decibels) associated with road, rail and aviation3.
The monetary values are given as British pounds per household for changes in decibel levels from the baseline in relation to the following impacts: amenity values from noise, sleep disturbance and annoyance. For each of the values the “central scenario” is applied. This assumes a QALY value of £60,000, with a disability weight applied for each disability associated with traffic noise.
For more information on the method please see the Extending noise regulation estimates study by Defra Valuations based on quality-adjusted life years are economic welfare values based on willingness to pay studies.
|Noise band¹||Annual value of noise mitigation of 1dBA (£ thousand per year)|
|Greater than or equal to 80||1||-||-||-||1|
Download this table.xlsx .csv
The asset value for noise reduction in the UK, based on the estimated flow of future benefits over 100 years was worth £833 million. Present values are calculated as the discounted flow of future value over 100 years, using a variable discount rate as suggested by HM Treasury’s Green Book Guidance (2018) for health impacts: 1.5% for 0 to 30 years, 1.29% for 31 to 75 years, and 1.07% for 76 to 100 years.
A number of assumptions have been taken into account in estimating the future flow of value from noise mitigation by urban vegetation. For example, population has been held constant and the impact of electric cars has not been considered. For more information on all the assumptions and method please see the scoping study by Eftec and others (2018).
|Noise band¹||Annual value of noise mitigation of 1dBA (£ million per year)|
|Greater than or equal to 80||-||-||-||-||-|
Download this table.xlsx .csv
Green and blue space in Great Britain’s city regions reduced the air temperature leading to a saving of £248 million in avoided labour producing and air conditioning costs during 2017.
Green and blue space (rivers, lakes, canals) can cool urban environments which benefits the economy by mitigating labour productivity loss and reducing the use of artificial cooling (air conditioning).
Eftec and others (2018) estimated the cooling benefit provided by natural capital in urban environments for 11 city regions4 in the UK. Eftec and others (2018) calculate the overall benefit by applying cooling effects discovered in academic literature (Table 6) to the urban area within the cooled areas beside green or blue spaces.
|Width of buffer to apply (m)||Temperature differential (degree Celsius)|
|Urban blue space|
|Rivers, canals (greater than 25m wide)||30||-1.4||-0.8|
|Lakes, ponds, reservoirs (less than 700m2)||30||-0.1||-0.057|
|Urban green space|
|Woodland (greater than 200m2 less than 30,000m2)||0||-3.5||n/a|
|Woodland (greater than 30,000 m2)||100||-3.5||-0.52|
|Open parks and grassland (greater than 200 m2)||0||-0.95||n/a|
|Contiguous gardens (greater than 200 m2)||0||-0.95||n/a|
Download this table.xlsx .csv
As can be seen from Figure 30, the aggregate cooling effect varies between 0.63 and 0.88 degrees Celsius, with green space providing a greater cooling effect than blue space.
It should be noted that the cooling effects may be conservative because the simplistic approach to physical account modelling leads to an underestimation of the cooling effect of blue space features. Furthermore, the approach does not account for the locally felt cooling effects such as shading by street trees. For more information on all caveats please see the scoping study by Eftec and others 2018.
The cooling effect is valued through the estimated cost savings from air conditioning and the benefit from improved labour productivity. The benefit from improved labour productivity makes up most of the value, with avoided air conditioning energy costs only accounting for a small fraction. For more information on the method please see the Methodology guide and the scoping study.
Table 7 shows the total annual value of labour productivity savings and avoided air conditioning energy costs across the 11 city regions. From Table 7, the cities in the south, that is London and Cardiff city regions, experienced the greatest benefits from urban cooling, with the London city region having the largest amount in avoided costs of £207.8 million in 2017 (84% of the total). This is because London has the biggest economy as well as the greatest number of hot days (7.42 days out of a total of 25.71 hot days in 2017). “Hot days” throughout this section refers to any days equal to or between 28 degree Celsius and 35 degree Celsius.
Between 2016 and 2017, the total annual value across all 11 cities regions declined slightly from £278.8 million in 2016 to £247.8 million in 2017, despite having five more hot days overall (see Table 7). This is because the London city region, the largest economy in this study, saw a reduction in avoided costs due to fewer hot days. Also, there were no hot days in both the Edinburgh and Glasgow city regions, so no values were assigned to these regions.
The Cardiff city region had the biggest increase in the annual value of the cooling effect between the years 2016 and 2017 because the city region experienced the largest rise in the number of hot days.
|Avoided costs (£)||Number of hot days||Avoided costs (£)||Number of hot days|
|West of England||4,650||1.6||11,370||4.6|
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Figure 31 presents the environmental asset value for each city region. These asset values are calculated using the average number of hot days over the last five years in 2016 and 2017. The total asset value between the two years increased by 17% from £11.4 billion to £13.3 billion. This is because between the 2012 to 2016 and 2013 to 2017 five-year averages, the number of hot days increased by seven days. Again, the London city region saw the largest amount of avoided labour productivity costs and air conditioning costs.
As shown in Table 8, an increase in woodland by one percentage point in all city regions (relative to the urban area) could lead to a saving in labour productivity of at least £9.3 million. There are clear benefits of increasing woodland areas in city areas. These numbers are calculated using the five-year hot day average (2013 to 2017). We would expect to see increases in this value as climate change progresses.
|City Region||Avoided labour productivity costs (£)|
|West of England||261,700|
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Notes for : Regulating services
- Please be aware that the data are different to data published in March 2018, because of a mistaken chemical conversion. The values will also be higher after an update in the damage costs (PDF, 1.1MB) by Defra.
- The method uses Ordnance Survey (OS) Master Map to identify sufficiently large areas of urban woodland, based on a coarse spatial resolution, which provide the service. Alongside this method, Eftec and others provide alternative estimates of the service based on the nationwide extrapolation of finer resolution tree cover data in Manchester. This latter method is considered to overestimate the service and be subject to substantial uncertainty, so the OS Master Map method is preferred. For more details, please see Eftec and others (2018).
- Rail and Aviation are not yet included in our noise mitigation estimates.
- Eftec and others (2018) created a set of regions which comprised the main eleven city regions in Great Britain. Some city regions encompass large urban conglomerations, for example, Greater Manchester city region, while others include considerable rural areas as well, for example, North East city region. All spatial calculations were made within these boundaries. For a map of the city regions please see page 21 in the scoping study.
This section presents some of the cultural services that nature provides to humanity such as recreation.
Here we present estimates for the recreational and aesthetic benefits. Recreation is by far the largest service, by value, that we currently measure with an average of about £8.3 billion across the time series (2009 to 2017).
As well as measuring recreation by looking at surveys we also capture recreational values in the housing market by looking at the willingness to pay for living close to green and blue spaces (see Figure 32). However, a lack of significant data means we were unable to split the additional housing value into recreational and aesthetic benefits. Therefore, the estimates provided in Figure 32 show the combined recreational and aesthetic values found in house prices. We do know that the recreational element in the house prices makes up a large proportion of the total benefit of the housing stock – largely because more houses are close to outdoor spaces than have views of nature.
We have also looked at how nature helps science, however, this work is only in its development phase as will be explained in the Estimates of science section.
Estimates of outdoor recreation refers to people aged 16 years and over and excludes overnight and tourist visits.
In the UK, around 11 billion hours were spent in the natural environment in 2017. This cultural service was valued at a substantial £7.8 billion. Since 2009, the amount of time spent in the natural environment has gradually increased over time (see Figure 33). With more people living in and visiting urban habitats, on average 48% of time spent on outdoor recreation was in urban areas, for example parks and allotments.
Overall the average length of an outdoor recreation visit in the UK was two hours and 10 minutes. As 48 minutes of this time was spent on travel to and from the visit destination, one hour and 22 minutes was spent at the visit destination. For some visitors travel time could be considered part of the enjoyment from nature, which may be reflected in the choice of travel method or route chosen. For others it may represent a willingness to pay or a cost of accessing outdoor recreation.
Between 2009 and 2017, overall time spent on outdoor recreation visits increased by 41%. This was driven largely by a 1.2 billion (33%) increase in visitor numbers, while average time spent per visit increased by seven minutes (6%). Visitor numbers increased from 3.7 billion to 4.9 billion between 2009 and 2017.
While people visited urban areas most (55% of visits), they tended to spend less time on these visits than outdoor recreation in other habitats. The average visit to outdoor urban areas lasted one hour and 52 minutes, the shortest visit length of all habitats. The longest visits were to mountain and moorland habitats, at three hours and 15 minutes, shortly followed by trips to the coast, at three hours and 12 minutes.
English visits represented 72% of overall UK time spent in the natural environment. This is unsurprising as England represents the majority of the UK population (84% of the population aged 16 years and over ). However, in comparison to the rest of the UK, on average people in England spent the least amount of time on outdoor recreation, at 143 hours per person annually. Annual time spent per person was highest in Wales, at 498 hours per person. In Scotland on average people spent 204 hours on outdoor recreation annually.
While time spent in the natural environment has increased over the time series, the annual value of this service fluctuated between a high of approximately £9.3 billion in 2010 to a low of approximately £7.0 billion in 2015. Recreational visits in nature are valued based on expenditure per trip (that is, fuel, public transport costs, admission costs and parking fees).For more information on how we calculate the annual value please see the Methodology guide.
The total expenditure for recreation in the UK, in natural habitats, equated to around £7.8 billion in 2017. This amount has decreased by a little over £1 billion since 2009, and the number of visits in the UK has increased by over one billion during the same period. This may suggest that people are choosing cheaper outdoor activities. The average spend per outdoor recreation visit was £1.59 in 2017.
While on average urban areas represented 55% of visits and 48% of time spent, they only made up 39% of expenditure. This is because expenditure per visit was lowest in urban areas, at £1.53, slightly lower than visits to woodland areas at £1.56. In contrast visitors to the coast spent an average of £4.74 on outdoor recreation, the highest of any habitat followed by visits to mountains (£3.62).
Visits to coastal and mountain habitats were cheaper in Wales and Scotland than the UK average. Compared with the UK average, people in Wales and Scotland respectively spent £1.78 and £1.34 less on visits to the coast and £1.87 and £0.45 less on visits to mountain, moorland and hill habitats. This is partly because of the population’s proximity to these habitats, with lower travel times and reduced expenditure on travel.
Even though people in Wales had the largest annual expenditure per person (£225), they had the lowest expenditure per visit, at £1.39 – £0.75 below the UK average (£2.14). This is because on average people in Wales took 88 more visits per year than the UK average. In England, raising the UK average, annual expenditure on outdoor recreation was £158 per person. The lowest expenditure per person was in Scotland, at £141 annually.
The asset value of UK outdoor recreation, which looks at the annual benefit over a 100-year time scale taking into account population growth and discounting, was valued at £347.6 billion in 2017 (see Methodology guide for more information on how we calculate the asset value).
Recreation and aesthetic value in house prices
Living within 500 metres of publicly accessible green and blue spaces added on average £2,800 to property prices in urban areas.
The hedonic pricing approach analyses the variables that affect house prices, including the willingness to pay for living close to green and blue spaces as mentioned in Section 7. This approach can be used to measure the value of the “free trips” to spaces within 500 metres.
The model has been significantly updated since the previous urban publication to improve accuracy, with extra variables having been added such as the rating of the nearest school and travel to work areas. Please note that throughout this section when referring to “green spaces” this is publicly accessible green space1.
Other environmental variables which may affect house prices are also included such as air pollution and noise pollution. For more information on all the variables included in the model and the type of model used please see the Methodology guide.
To work out the value of living near to urban green and blue spaces, we estimate the difference between the predicted house price based on real data and the predicted house price if there were no green or blue spaces2. The estimated effect of living within 500 metres of green or blue spaces was £2813.8 on average in 2016 (see Table 9), which is about 1.2% of the average property price in our sample. In 2016, there were 27.7 million residential properties in the UK. To work out the total stock value for green and blue spaces we multiply this by the average annual value – £2813.8 – to get £78.0 billion. We can also the split the total stock value to look at the separate recreational and aesthetic values (see Table 9).
The recreational services are measured by the distance to and area of blue and green spaces while the aesthetic services are captured by the view over green or blue spaces. For example, in 2016 the recreational benefit of living within 500 metres of green or blue space was estimated to be worth £68.6 billion, while the aesthetic benefit was valued at £9.4 billion.
|95% CI lower |
|95% CI upper |
|Stock value |
|N properties |
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For annual values, we can present an imputed rental value of living within 500 metres of green or blue space shown in Table 10. This is calculated by using the percentage increase in house prices caused by living within 500 metres of green or blue space and using this to take a percentage of the imputed annual rental estimates published by the Office for National Statistics (ONS).
Since 2010, the annual value has generally fallen year on year (with the exception of a slight pickup in 2014). However, the annual value has not dropped as much because of the number of properties increasing from 2009 to 2016. In 2016, the imputed rent for living within 500 metres of green or blue space for all properties in the UK was estimated to be £2.5 billion.
|Total (£ million)|
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Table 11 presents the average effect of living within 500 metres of green and blue spaces on house prices in different travel to work areas (TTWA). We report both the absolute effect and the effect relative to the average property price in the area. Out of the 30 most sampled TTWAs3, Slough and Heathrow had the greatest average effect (£7097.1) of living within 500 metres of green and blue spaces. Liverpool had the greatest average value percentage increase relative to the houses in that area.
For a full list of all the TTWA please see the Methodology guide.
|Travel-to-work area||Average value|
|Average value of |
property price (%)
|N validation set||Avg. Distance to |
|Avg. Distance |
|Slough and Heathrow||7,097.1||1.8||8,497.0||316.2||238|
|Guildford and Aldershot||5,152.6||1.3||4,772.0||305.1||242.6|
|Warrington and Wigan||2,584.1||1.7||4,175.0||273.7||268.2|
|Wolverhampton and Walsall||881.2||0.5||3,763.0||365||286.3|
|High Wycombe and Aylesbury||3,720.0||1.1||3,377.0||396.3||293.1|
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As well as looking at the annual figures, we can also estimate the joint effect of distance and area of green space on house prices. Figure 35 shows that the effect of a green space on property prices is greatest for properties within 50 metres. That is, a property close to a large green space increased by an average of 3.5% (£8,664) compared to only 0.2% for a property 500 metres from a small area.
We can do the same for blue spaces and the results are similar, properties close to large blue spaces (30,000 square metres) are on average 3.4% (£8,398) more expensive than comparable properties with little access to blue spaces. However, the effects of proximity to blue space diminish faster than the effect of proximity to green space.
We are developing UK estimates on the value of environmental scientific research, itself an ecosystem cultural service. The Common International Classification of Ecosystem Services (CICES)4 is an internationally agreed set of Ecosystem Services. CICES defines environmental science as the “characteristics of living systems that enable scientific investigation or the creation of traditional ecological knowledge”.
This can also be extended to “abiotic characteristics of nature that enable intellectual interactions”, for example, water, sunlight and soil. It might be easier to think of it as, “what scientific examination of nature can teach us”.
One way of estimating the value of environmental scientific research is through estimating the value of research grants awarded. Data on publicly funded research grants was sourced from the UK Research and Innovation (UKRI) gateway. In our initial work we have attempted to establish which studies investigate the UK environment by searching project titles and abstracts for relevant keywords.
Our preliminary work on developing a partial UK estimate focused upon identifying scientific research associated with UK Woodland, and Mountain, moorland and heathland (MMH), using keywords such as: “woodland”, “tree”, “timber” and “forest”; and “mountain”, “moorland”, “bog”, “peatland”, “peat”, “heather”, “heather grassland” and “inland rock” respectively. We then manually sifted the resulting list of studies. Future work might hope to produce full UK estimates for other areas of natural capital, while also assigning a typology for nature-based research, such as “protective” or “exploitative”.
Research grant amounts were divided by project length to provide an estimate for cost per day. This was then multiplied by the amount of days a project operated during each year, to calculate estimates of how much was spent on UK Woodland (Table 13) and MMH research (Table 12) every year between 2006 and 2024, as of 25 September 2019. It is worth noting that we only include allocated spend. Projections of future spending are likely to increase as more grants are won.
Because of data uncertainties, unlike all other monetary figures in this publication, values reported under scientific research are nominal.
|Year||Amount spent on publicly funded research (£)|
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|Year||Amount spent on publicly funded research (£)|
Download this table.xlsx .csv
These values cover only a small subset of what might be considered environmental science. Woodlands, and Mountains, moorlands and heath present areas where a keyword search is less likely to include studies which we would prefer to exclude and so have been our initial focus. We are reporting project funding of a little over £2 million in 2018 whereas the total budget of the UK Natural Environment Research Council (NERC), “Science budget” was £502 million in 2017 to 18 (PDF, 1.71MB). NERC is not the only funding source for environmental research.
The decision to include or exclude a study from our estimates represents a value judgement, particularly when observing for criteria such as whether any scientific fieldwork took place within the UK’s natural environment or not.
Other limitations arise from our data source. Use of the UK Gateway source risks excluding studies from abroad which focus upon UK ecosystems. It also focuses upon publicly funded studies, because of the difficulties associated with accessing data on privately funded studies. These preliminary estimates of science and research for UK Woodland and MMH remain highly experimental.
We welcome suggestions to further develop our work in this area.
Notes for: Cultural services
- Any green space that has a specific function in its use, for example, public parks or gardens, playing fields, golf courses, allotments. These spaces contain natural land cover and can also include some blue space, for example, a park that has a lake within it.
- We set areas and view of green and blue spaces to zero and distance to 500 metres.
- We removed all houses in the data in Scotland because we were unable to link them to any school data. As such, any results we have obtained would have also excluded Scotland.
- Developed from European Environment Agency (EEA) work on environmental accounting.
The asset values are estimated by capitalising the annual flow of services from the natural resource that are expected to take place over a projected period. This period is known as the asset life. The annual environmental service flows provide the basis for the projected flows. This method, known as net present valuation (NPV), is explained in more detail in the Methodology guide.
Some environmental services presented in this article are produced from renewable resources whose stock is not exhausted over time, for example, woodland delivering carbon sequestration. For renewable resources, a 100-year asset life has been assumed. The non-renewable abiotic resources presented in this article are minerals, and fossil fuels, where an asset life of 25 years has been assumed.
Figure 37 presents the percentage change in UK natural capital asset values between 2009 to 2016 by selected services. Between the years 2009 and 2016, the asset value of renewables increased by 133%. That is, the asset value for renewable energy more than doubled during this period. In contrast, the asset value of fossil fuels has more than halved in this time period.
Despite the asset value of recreation falling by 0.6% between 2009 and 2016, this cultural service still made up a large proportion of the asset value of natural capital in the UK, forming 41.4% of the total UK asset value in 2016 (see Figure 38). The overall asset value of non-material services not directly captured in gross domestic product (GDP) (that is, regulating services and cultural services) represented 66.4% of the UK’s natural capital asset value in 2016.
The total asset value of the UK’s natural capital is estimated to be £951 billion, in 2016. This figure includes the 2017 asset value for noise mitigation.Nôl i'r tabl cynnwys
The methodology used to develop these estimates remains under development; the estimates reported in this article are experimental and should be interpreted in this context. Experimental Statistics are those that are in the testing phase, are not yet fully developed and have not been submitted for assessment to the UK Statistics Authority. Experimental Statistics are published to involve customers and stakeholders in their development and as a means of building in quality at an early stage.
UK Natural Capital Accounts methodology guide: October 2019 provides a detailed summary of the methodology used to develop the Natural Capital Ecosystem Service Accounts. It summaries the broad approach to valuation and the overarching assumptions made, as well as giving a more detailed description of the methods used to value the individual components of natural capital and physical and monetary data sources.
We have used a wide variety of sources for estimates of UK natural capital, which have been compiled in line with the guidelines recommended by the United Nations (UN) System of Environmental-Economic Accounting Central Framework and System of Environmental-Economic Accounting Experimental Ecosystem Accounting principles, which are in turn part of the wider framework of the system of national accounts.
As the UN guidance is still under development, the Office for National Statistics (ONS) and the Department for Environment, Food and Rural Affairs (Defra) published a summary of the principles underlying the accounts.
We welcome discussion regarding any of the approaches presented.Nôl i'r tabl cynnwys
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