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STRENGTHENING INDICATORS AND ACCOUNTING SYSTEMS FOR NATURAL CAPITAL<br />

Box 3.2: Examples of ESS indicators across environmental policy areas<br />

Climate Change – Carbon sequestration/storage rates (Total amount of carbon sequestered/stored<br />

in Gt C0 2 equiv. = sequestration capacity/storage per hectare x total area of ecosystem)<br />

Tropical forests have an annual global sequestration rate of around 1.3 Gt of carbon, or about 15% of total carbon<br />

emissions resulting from human activities. Forests in Central and South America are estimated to take up around<br />

0.6 Gt C, African forests roughly 0.4 Gt, and Asian forests around 0.25 Gt. It is estimated that tropical and<br />

subtropical forests together store nearly 550 Gt of carbon, the largest amount across all biomes. Reforestation<br />

and halting forest degradation could enhance this further (Trumper et al. 2009). The EU therefore supports a<br />

new instrument to generate significant funding to achieve the objective of halting global forest cover loss by 2030<br />

(the Global Forest Carbon Mechanism, see EC 2008b). This approach uses carbon sequestration rates and an<br />

ecosystem’s capacity to store carbon as an indicator to describe benefits arising from forest ecosystems<br />

with regard to climate change mitigation policy. This ecosystem service can also be linked to new financial incentive<br />

mechanisms such as REDD (Reducing Emissions from Deforestation and Degradation in developing countries)<br />

being proposed under the UN Framework Convention on Climate Change (UNFCCC). REDD could make explicit<br />

the value of reduced CO 2 emissions and, compared to other GHG emission reduction alternatives, is estimated<br />

to be a low-cost mitigation option (Stern 2006; IPCC 2007; Eliasch 2008). Related policy instruments are<br />

discussed in Chapter 5.<br />

Urban Air Quality – Atmospheric cleansing capacity (e.g. tonnes of particulates removed per hectare<br />

of ecosystem)<br />

A study by Nowak et al. (Powe 2002 and references within) found that urban trees in Philadelphia, USA, had<br />

removed over 1,000 tons of air pollutants from the atmosphere in the year 1994. According to a UK study<br />

(Powe 2002), trees can be seen to absorb large quantities of pollutants e.g. between 391,664-617,790<br />

metric tonnes of PM10 (particulate matter) and 714,158-1,199,840 metric tonnes of SO 2 per year.<br />

Urban planning can use this capacity of green infrastructure to achieve air pollution control targets e.g. air<br />

quality standards. Values can be attached via the avoided morbidity and mortality impacts resulting from<br />

urban green infrastructure’s contribution to reduced air pollution levels. In the context of a ‘bubble’ policy<br />

developed for a specific area (e.g. bubble policies for air pollutants set by the US Environmental Protection<br />

Agency), the development or conservation of green infrastructure could be used to balance air emissions<br />

from sources included in this area. By enabling trading of air emission rights, an economic value can be<br />

attached to such services.<br />

Clean Drinking Water – Removal of nutrients by wetlands (amount/percentage); water quality in aquatic<br />

ecosystems (sediment, turbidity, phosphorus etc.)<br />

Bionade Corporation produces and distributes organically manufactured non-alcoholic drinks in Germany,<br />

with a global turnover of 40 million Euros in 2007. Clean drinking water being a main ingredient, the company<br />

has initiated a project with the German NGO Trinkwasserwald e.V. to create 130 hectares of ‘drinking water<br />

forests’ throughout Germany linked to their capacity to prevent pollution. The NGO indicates that each hectare<br />

of conifer monoculture converted into deciduous broadleaved forest will generate 800,000 l/year for a oneoff<br />

conversion cost of 6,800 EUR/hectare. Private contracts between the NGO and the public or private forest<br />

owners are signed for a period of twenty years (Greiber et al. 2009; for further examples, see Chapter 5).<br />

<strong>TEEB</strong> FOR NATIONAL AND INTERNATIONAL POLICY MAKERS - CHAPTER 3: PAGE 17

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