Evidence map›Paper›PMID 26831101›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Policy impacts of ecosystem services knowledge.

Stephen M Posner, Emily McKenzie, Taylor H Ricketts

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. How and why funders support engaged research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Interacting pest control and pollination services in coffee systems.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Nature Contact and Human Health: A Research Agenda.Environmental health perspectives · 2017
    Article
  15. Conservation of biodiversity as a strategy for improving human health and well-being.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  16. Article
  17. Article
  18. Crafting usable knowledge for sustainable development.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Review
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

3 authors.

Stephen M PosnerGund Institute for Ecological Economics, University of Vermont, Burlington, VT 05405; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT 05405; sposner@uvm.edu.
Emily McKenzieWWF-UK, Washington, DC 20037; The Natural Capital Project, Stanford University, Stanford, CA 94305; WWF-UK, The Living Planet Centre, Surrey GU21 4LL, United Kingdom.
Taylor H RickettsGund Institute for Ecological Economics, University of Vermont, Burlington, VT 05405; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT 05405;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research about ecosystem services (ES) often aims to generate knowledge that influences policies and institutions for conservation and human development. However, we have limited understanding of how decision-makers use ES knowledge or what factors facilitate use. Here we address this gap and report on, to our knowledge, the first quantitative analysis of the factors and conditions that explain the policy impact of ES knowledge. We analyze a global sample of cases where similar ES knowledge was generated and applied to decision-making. We first test whether attributes of ES knowledge themselves predict different measures of impact on decisions. We find that legitimacy of knowledge is more often associated with impact than either the credibility or salience of the knowledge. We also examine whether predictor variables related to the science-to-policy process and the contextual conditions of a case are significant in predicting impact. Our findings indicate that, although many factors are important, attributes of the knowledge and aspects of the science-to-policy process that enhance legitimacy best explain the impact of ES science on decision-making. Our results are consistent with both theory and previous qualitative assessments in suggesting that the attributes and perceptions of scientific knowledge and process within which knowledge is coproduced are important determinants of whether that knowledge leads to action.

Indexed as

Conservation of Natural ResourcesEcosystemboundary organizationsconservationecosystem servicesknowledge systemsscience policy interface

Identifiers

PMID26831101
PMCPMC4763745

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.