Abstract
This paper investigates spatial determinants of recreational ecosystem service values by combining Geographic Information System (GIS) and meta-analysis, and by presenting the first review on meta-analysis studies in this field. Using meta-analytic value transfer, we map the spatial distribution of recreational values across Europe. By combining meta-analysis and GIS we identify spatial biophysical and socio-economic determinants of recreational ecosystem service values. Nevertheless, comparing the results of past meta-analyses reveals difficulties in establishing robust relationships between spatial variables and recreational values per visit, as existing meta-analyses show contradicting results and methodological variables show stronger effects. Based on our findings we give guidance on how to improve geostatistical analysis within future meta-analyses on ecosystem service valuation studies. Furthermore, we find that spatial variations of recreational visitor numbers are by far greater than variations of the value per visit. Therefore, we conclude that accurate estimates of visitor numbers are of greater relevance than accurate estimates of the value per visit.
| Original language | English |
|---|---|
| Pages (from-to) | 395-409 |
| Number of pages | 15 |
| Journal | Ecosystem Services |
| Volume | 31 |
| Issue number | Part C |
| Early online date | 2018 |
| DOIs | |
| Publication status | Published - 2018 |
Funding
This research was funded by the European Commission as part of the MAES working group (Mapping and Assessment of Ecosystems and their Services). Within follow-up INCA (Integrated system for Natural Capital and ecosystem services Accounting) project, as well as the DOPA (Digital Observatory for Protected Areas) project and the BIOPAMA (Biodiversity and Protected Areas Management) program, we aim at extending this work in scope and scale by including further ecosystem services and covering the entire globe. We would like to thank our colleague Roxanne Leberger for her support in scripting with R. This research was funded by the European Commission as part of the MAES working group (Mapping and Assessment of Ecosystems and their Services). Within follow-up INCA (Integrated system for Natural Capital and ecosystem services Accounting) project, as well as the DOPA (Digital Observatory for Protected Areas) project and the BIOPAMA (Biodiversity and Protected Areas Management) program, we aim at extending this work in scope and scale by including further ecosystem services and covering the entire globe. We would like to thank our colleague Roxanne Leberger for her support in scripting with R.
| Funders | Funder number |
|---|---|
| DOPA | |
| Montana Agricultural Experiment Station | |
| European Commission |
