Evidence map›Paper›PMID 31467273›Full record

ArticleNature communications2019

The value of understanding feedbacks from ecosystem functions to species for managing ecosystems.

Hui Xiao, Eve McDonald-Madden, Régis Sabbadin, Nathalie Peyrard, Laura E Dee, Iadine Chadès

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biodiversity as insurance: from concept to measurement and application.Biological reviews of the Cambridge Philosophical Society · 2021
    Review
  6. Article
  7. Marine conservation: towards a multi-layered network approach.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  8. 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

6 authors.

Hui XiaoCentre for Biodiversity and Conservation Science, School of Earth and Environmental Science, University of Queensland, St Lucia, 4072, Australia. h.xiao@uq.edu.au.ORCID http://orcid.org/0000-0003-4049-9988
Eve McDonald-MaddenCentre for Biodiversity and Conservation Science, School of Earth and Environmental Science, University of Queensland, St Lucia, 4072, Australia.
Régis SabbadinMIAT, UR 875, Université de Toulouse, INRA, Castanet-Tolosan, F-31320, France.ORCID http://orcid.org/0000-0002-6286-1821
Nathalie PeyrardMIAT, UR 875, Université de Toulouse, INRA, Castanet-Tolosan, F-31320, France.
Laura E DeeDepartment of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, Twin Cities, St. Paul, MN, 55108, USA.ORCID http://orcid.org/0000-0003-0471-1371
Iadine ChadèsCSIRO, EcoSciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia.ORCID http://orcid.org/0000-0002-7442-2850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological systems are made up of complex and often unknown interactions and feedbacks. Uncovering these interactions and feedbacks among species, ecosystem functions, and ecosystem services is challenging, costly, and time-consuming. Here, we ask: for which ecosystem features does resolving the uncertainty about the feedbacks from ecosystem function to species improve management outcomes? We develop a dynamic value of information analysis for risk-neutral and risk-prone managers on motif ecosystems and explore the influence of five ecological features. We find that learning the feedbacks from ecosystem function to species does not improve management outcomes for maximising biodiversity, yet learning which species benefit from an ecosystem function improves management outcomes for ecosystem services by up to 25% for risk-neutral managers and 231% for risk-prone managers. Our general approach provides useful guidance for managers and researchers on when learning feedbacks from ecosystem function to species can improve management outcomes for multiple conservation objectives.

Indexed as

EcologyEcosystemFeedbackModels, TheoreticalBiodiversityConservation of Natural ResourcesEnvironmentUncertainty

Identifiers

PMID31467273
PMCPMC6715698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.