Identifying effective approaches for monitoring national natural capital for policy use
Norton, L.R. 
ORCID: https://orcid.org/0000-0002-1622-0281; Smart, S.M. ORCID: https://orcid.org/0000-0003-2750-7832; Maskell, L.C. ORCID: https://orcid.org/0000-0003-4006-7755; Henrys, P.A.; Wood, C.M. ORCID: https://orcid.org/0000-0002-0394-2998; Keith, A.M. ORCID: https://orcid.org/0000-0001-9619-1320; Emmett, B.A. ORCID: https://orcid.org/0000-0002-2713-4389; Cosby, B.J. ORCID: https://orcid.org/0000-0001-5645-3373; Thomas, A. ORCID: https://orcid.org/0000-0002-4929-7285; Scholefield, P.A. ORCID: https://orcid.org/0000-0003-2974-6431; Greene, S.; Morton, R.D.; Rowland, C.S. ORCID: https://orcid.org/0000-0002-0459-506X.
2018
Identifying effective approaches for monitoring national natural capital for policy use.
Ecosystem Services, 30 (A).
98-106.
https://doi.org/10.1016/j.ecoser.2018.01.017
|
Text
N519337PP.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (561kB) | Preview |
Abstract/Summary
In order to effectively manage natural resources at national scales national decision makers require data on the natural capital which supports the delivery of ecosystem services (ES). Key data sources used for the provision of national natural capital metrics include Satellite Remote Sensing (SRS), which provides information on land cover at an increasing range of resolutions, and field survey, which can provide very high resolution data on ecosystem components, but is constrained in its potential coverage by resource requirements. Here we combine spatially representative field data from a historic national survey of Great Britain (Countryside Survey (CS)) with concurrent low resolution SRS data land cover map within modelling frameworks to produce national natural capital metrics. We present three examples of natural capital metrics; top soil carbon, headwater stream quality and nectar species plant richness which show how highly resolved, but spatially representative field data can be used to significantly enhance the potential of low resolution SRS land cover data for providing national spatial data on natural capital metrics which have been linked to ecosystem services (ES). We discuss the role of such metrics in evaluations of ecosystem service provision and areas of further development to improve their utility for stakeholders.
| Item Type: | Publication - Article |
|---|---|
| Digital Object Identifier (DOI): | https://doi.org/10.1016/j.ecoser.2018.01.017 |
| UKCEH and CEH Sections/Science Areas: | Soils and Land Use (Science Area 2017-) Unaffiliated |
| ISSN: | 2212-0416 |
| Additional Keywords: | national natural capital metrics, satellite remote sensing, field survey, habitats, modelling, decision making, Countryside Survey |
| NORA Subject Terms: | Ecology and Environment |
| Date made live: | 23 Feb 2018 11:14 +0 (UTC) |
| URI: | https://nora.nerc.ac.uk/id/eprint/519337 |
Actions (login required)
 |
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year
Altmetric
Altmetric
