Evidence map›Paper›PMID 41022874›Full record

ArticleScientific data2025

Opportunity cost estimates for spatial conservation prioritisation across terrestrial Europe.

Douglas Spencer, Alexandra Marques, Clara J Veerkamp, Martijn van der Marel, Peter Verburg, Moreno Di Marco, Martin Jung, Heini Kujala, Louise O'Connor, Piero Visconti and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Douglas SpencerPBL Netherlands Environmental Assessment Agency, Global Sustainability, The Hague, The Netherlands. douglas.spencer@pbl.nl.ORCID 0009-0005-6915-4184
Alexandra MarquesPBL Netherlands Environmental Assessment Agency, Global Sustainability, The Hague, The Netherlands.ORCID 0000-0001-6669-1201
Clara J VeerkampPBL Netherlands Environmental Assessment Agency, Global Sustainability, The Hague, The Netherlands.
Martijn van der MarelPBL Netherlands Environmental Assessment Agency, Global Sustainability, The Hague, The Netherlands.
Peter VerburgInstitute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-6977-7104
Moreno Di MarcoDepartment of Biology and Biotechnologies Charles Darwin, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-8902-4193
Martin JungBiodiversity, Ecology, and Conservation Research Group, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.ORCID 0000-0002-7569-1390
Heini KujalaFinnish Museum of Natural History, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9772-3202
Louise O'ConnorBiodiversity, Ecology, and Conservation Research Group, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Piero ViscontiBiodiversity, Ecology, and Conservation Research Group, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.ORCID 0000-0001-6823-2826
Aafke M SchipperPBL Netherlands Environmental Assessment Agency, Global Sustainability, The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opportunity costs of conservation represent the foregone economic benefits from using land for nature conservation rather than alternative activities. Considering opportunity costs therefore helps in identifying cost-effective solutions in conservation prioritisation analyses. Since comprehensive, high-resolution, pan-European opportunity cost data are currently lacking, we created a 1 km European layer of opportunity costs (€/ha/yr) for arable, pastoral, forestry and urban lands. To create this layer, we estimated the opportunity costs of productive lands (agriculture and forestry) based on (sub)national land and resource rent data, which we allocated to the grid level integrating agricultural and forestry yield data with country-specific commodity prices. We estimated opportunity costs of urban land based on area-standardised residential rents and urban population density using empirical data from 42 European residential areas. Across land types, urban land comes with the highest opportunity costs, followed by arable, pastoral, and forestry land. We envisage this new opportunity cost layer to be particular useful for broad-scale European conservation prioritisation analyses.

Indexed as

Conservation of Natural ResourcesAgricultureEuropeForestry

Identifiers

PMID41022874
PMCPMC12480582

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.