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March 4, 2013 / landscapeiskingston

New valuation of water-quality ecosystem services provides decision-making tool

Quantifying the value of goods and services provided by nature enables decision makers to predict possible impacts of policies or actions. While good water quality is recognised as a vital ecosystem service, difficulties remain in estimating its true value. In this study, researchers:

  1. identified three main challenges facing valuation of water-quality based ecosystem services
  2. proposed a new template
  3. set guidelines for its use

Valuation estimates are generally not linked with changes in water management practices. This is of particular significance for decision makers, since without this they are unable to fully compare the consequences of alternative practices and actions. Also, water-quality services are diverse and range from quality of drinking water to commercial fisheries or recreation. Therefore any valuation tool omitting these factors could  underestimate the true service value, and neglect possible trade-offs.  Finally, economic and biophysical models are often not well integrated. For example, where a biophysical model may measure phosphorus concentrations, an economic model may include data on the amount of money the public are willing to pay for enjoyment of a clean lake, which cannot be easily and accurately related to the levels of phosphorus.

UK National Ecosystem Assessment - Synthesis of the Key FindingsLinks between ecosystems, ecosystem services, good(s), valuation, human well-being, change processes and scenarios.

UK National Ecosystem Assessment – Synthesis of the Key Findings
Links between ecosystems, ecosystem services, good(s), valuation, human well-being, change processes and scenarios.

The new three-stage valuation framework proposed in this study can be applied to both inland water bodies such as lakes and streams but also coastal bays and ocean beaches, by using relevant data relating to different conditions and services. In the first stage, biophysical models link changes in management with the change in water quality, for example, in terms of pollutant concentrations. The second stage relates the change in water quality to the ultimate effects on ecosystem goods or services, such as the frequency of beach closures or the toxicity of algal blooms. The final stage translates the changes in such goods or services to changes in economic value.

UK National Ecosystem Assessment

UK National Ecosystem Assessment

At each stage, the researchers strongly recommend that the models take into account the interactions between changes in water quality and the multiple ecosystem services provided. For example, levels of phosphorus can influence both water clarity and abundance of fish and these factors in turn will affect the ultimate value of lake fishing, swimming and viewing nature.  For effective use of the framework, the researchers recommend that users first identify the beneficiaries of interest (e.g. commercial fishing companies and swimmers) and the valued attributes (e.g. high fish abundance and low water toxicity) and then ensure that the most appropriate biophysical and economic models are chosen. For example, a biophysical model specific to groundwater is needed to assess levels of nitrates in wells.
The study does highlight that extensive data, which may be difficult to obtain, are needed for their proposed framework. However, a key advantage of this approach is that it enables uncertainties, including estimates based on small amounts of data, to be identified and taken into account.

Source: Keeler, B. L., Polasky, S., Braumana, K. A. et al. (2012). Linking water quality and well-being for improved assessment and valuation of ecosystem services. Proceedings of the National Academy of Sciences. 109 (45): 18619-18624.

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  1. David Hinks / Mar 5 2013 11:03 am

    This looks like a good idea.Would need to know greater details but highly promising.Often the only thing that planning departments think about is an economic model which is lacking on the environment.

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