The University of Southampton
University of Southampton Institutional Repository

Empirical validation of the InVEST water yield ecosystem service model at a national scale

Empirical validation of the InVEST water yield ecosystem service model at a national scale
Empirical validation of the InVEST water yield ecosystem service model at a national scale
A variety of tools have emerged with the goal of mapping the current delivery of ecosystem services and quantifying the impact of environmental changes. An important and often overlooked question is how accurate the outputs of these models are in relation to empirical observations. In this paper we validate a hydrological ecosystem service model (InVEST Water Yield Model) using widely available data. We modelled annual water yield in 22 UK catchments with widely varying land cover, population and geology, and compared model outputs with gauged river flow data from the UK National River Flow Archive. Values for input parameters were selected from existing literature to reflect conditions in the UK and were subjected to sensitivity analyses. We also compared model performance between precipitation and potential evapotranspiration data sourced from global- and UK-scale datasets. We then tested the transferability of the results within the UK by additional validation in a further 20 catchments.

Whilst the model performed only moderately with global-scale data (linear regression of modelled total water yield against empirical data; slope = 0.763, intercept = 54.45, R2 = 0.963) with wide variation in performance between catchments, the model performed much better when using UK-scale input data, with closer fit to the observed data (slope = 1.07, intercept = 3.07, R2 = 0.990). With UK data the majority of catchments showed less than 10% difference between measured and modelled water yield but there was a minor but consistent overestimate per hectare (86 m3/ha/year). Additional validation on a further 20 UK catchments was similarly robust, indicating that these results are transferable within the UK. These results suggest that relatively simple models can give accurate measures of ecosystem services. However, the choice of input data is critical and there is a need for further validation in other parts of the world.
UK, mapping, rainfall, evapotranspiration, river flow, land cover
0048-9697
1418-1426
Redhead, J.W.
f4eb9b5c-67a6-4c07-944f-778475085cc5
Stratford, C.
ba2dc4c2-3d20-41d2-8f87-737e000f00b9
Sharps, K.
4321b2ae-7786-4014-9d03-10f06ed7642a
Jones, L.
b873ef7a-7df0-4411-9287-b35c45663770
Ziv, G.
5ad51500-d359-4fd1-a354-309abaea8cac
Clarke, D.
9746f367-1df2-4e0e-8d71-5ecfc9ddd000
Oliver, T.H.
43cd3d28-cfac-4705-8b65-cf07a4304dde
Bullock, J.M.
b4da194c-4a58-4b7a-906d-5dc8bca313be
Redhead, J.W.
f4eb9b5c-67a6-4c07-944f-778475085cc5
Stratford, C.
ba2dc4c2-3d20-41d2-8f87-737e000f00b9
Sharps, K.
4321b2ae-7786-4014-9d03-10f06ed7642a
Jones, L.
b873ef7a-7df0-4411-9287-b35c45663770
Ziv, G.
5ad51500-d359-4fd1-a354-309abaea8cac
Clarke, D.
9746f367-1df2-4e0e-8d71-5ecfc9ddd000
Oliver, T.H.
43cd3d28-cfac-4705-8b65-cf07a4304dde
Bullock, J.M.
b4da194c-4a58-4b7a-906d-5dc8bca313be

Redhead, J.W., Stratford, C., Sharps, K., Jones, L., Ziv, G., Clarke, D., Oliver, T.H. and Bullock, J.M. (2016) Empirical validation of the InVEST water yield ecosystem service model at a national scale. Science of the Total Environment, 569–570, 1418-1426. (doi:10.1016/j.scitotenv.2016.06.227).

Record type: Article

Abstract

A variety of tools have emerged with the goal of mapping the current delivery of ecosystem services and quantifying the impact of environmental changes. An important and often overlooked question is how accurate the outputs of these models are in relation to empirical observations. In this paper we validate a hydrological ecosystem service model (InVEST Water Yield Model) using widely available data. We modelled annual water yield in 22 UK catchments with widely varying land cover, population and geology, and compared model outputs with gauged river flow data from the UK National River Flow Archive. Values for input parameters were selected from existing literature to reflect conditions in the UK and were subjected to sensitivity analyses. We also compared model performance between precipitation and potential evapotranspiration data sourced from global- and UK-scale datasets. We then tested the transferability of the results within the UK by additional validation in a further 20 catchments.

Whilst the model performed only moderately with global-scale data (linear regression of modelled total water yield against empirical data; slope = 0.763, intercept = 54.45, R2 = 0.963) with wide variation in performance between catchments, the model performed much better when using UK-scale input data, with closer fit to the observed data (slope = 1.07, intercept = 3.07, R2 = 0.990). With UK data the majority of catchments showed less than 10% difference between measured and modelled water yield but there was a minor but consistent overestimate per hectare (86 m3/ha/year). Additional validation on a further 20 UK catchments was similarly robust, indicating that these results are transferable within the UK. These results suggest that relatively simple models can give accurate measures of ecosystem services. However, the choice of input data is critical and there is a need for further validation in other parts of the world.

Text
Redhead InVEST Water yield v8 (Revision 2) ACCEPTED June 2016 - Accepted Manuscript
Download (888kB)

More information

Accepted/In Press date: 28 June 2016
e-pub ahead of print date: 7 July 2016
Published date: 1 November 2016
Keywords: UK, mapping, rainfall, evapotranspiration, river flow, land cover
Organisations: Water & Environmental Engineering Group

Identifiers

Local EPrints ID: 397654
URI: https://eprints.soton.ac.uk/id/eprint/397654
ISSN: 0048-9697
PURE UUID: c5d66420-26a7-4621-ad21-52e4ecae3b44
ORCID for D. Clarke: ORCID iD orcid.org/0000-0002-5433-5258

Catalogue record

Date deposited: 04 Jul 2016 15:22
Last modified: 03 Dec 2019 06:38

Export record

Altmetrics

Contributors

Author: J.W. Redhead
Author: C. Stratford
Author: K. Sharps
Author: L. Jones
Author: G. Ziv
Author: D. Clarke ORCID iD
Author: T.H. Oliver
Author: J.M. Bullock

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×