Evidence map›Paper›PMID 39271533›Full record

ArticleEnvironmental management2024

Panel-based assessment of ecosystem condition as a platform for adaptive and knowledge driven management.

Jane U Jepsen, Per Arneberg, Rolf A Ims, Anna Siwertsson, Nigel G Yoccoz, Per Fauchald, Åshild Ø Pedersen, Gro I van der Meeren, Cecilie H von Quillfeldt

Abstract read
In one paragraph

Article in Environmental management, 2024. 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

9 authors.

Jane U JepsenNorwegian Institute for Nature Research, Department of Arctic Ecology, Fram Centre, 9296, Tromsø, Norway. jane.jepsen@nina.no.ORCID 0000-0003-1517-1569
Per ArnebergInstitute of Marine Research, Department of Ecosystem Processes, Fram Centre, 9296, Tromsø, Norway.ORCID 0000-0003-4693-3124
Rolf A ImsUiT The Arctic University of Norway, Department of Arctic and Marine Biology, 9037, Tromsø, Norway.ORCID 0000-0002-3687-9753
Anna SiwertssonInstitute of Marine Research, Department of Ecosystem Processes, Fram Centre, 9296, Tromsø, Norway.ORCID 0009-0008-7805-8962
Nigel G YoccozUiT The Arctic University of Norway, Department of Arctic and Marine Biology, 9037, Tromsø, Norway.ORCID 0000-0003-2192-1039
Per FauchaldNorwegian Institute for Nature Research, Department of Arctic Ecology, Fram Centre, 9296, Tromsø, Norway.ORCID 0000-0003-3046-0967
Åshild Ø PedersenNorwegian Polar Institute, Fram Centre, 9296, Tromsø, Norway.ORCID 0000-0001-9388-7402
Gro I van der MeerenInstitute of Marine Research, Department of Ecosystem Processes, 5392, Storebø, Norway.ORCID 0000-0002-5829-5396
Cecilie H von QuillfeldtNorwegian Polar Institute, Fram Centre, 9296, Tromsø, Norway.ORCID 0000-0003-4160-8517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystems are subjected to increasing exposure to multiple anthropogenic drivers. This has led to the development of national and international accounting systems describing the condition of ecosystems, often based on few, highly aggregated indicators. Such accounting systems would benefit from a stronger theoretical and empirical underpinning of ecosystem dynamics. Operational tools for ecosystem management require understanding of natural ecosystem dynamics, consideration of uncertainty at all levels, means for quantifying driver-response relationships behind observed and anticipated future trajectories of change, and an efficient and transparent synthesis to inform knowledge-driven decision processes. There is hence a gap between highly aggregated indicator-based accounting tools and the need for explicit understanding and assessment of the links between multiple drivers and ecosystem condition as a foundation for informed and adaptive ecosystem management. We describe here an approach termed PAEC (Panel-based Assessment of Ecosystem Condition) for combining quantitative and qualitative elements of evidence and uncertainties into an integrated assessment of ecosystem condition at spatial scales relevant to management and monitoring. The PAEC protocol is founded on explicit predictions, termed phenomena, of how components of ecosystem structure and functions are changing as a result of acting drivers. The protocol tests these predictions with observations and combines these tests to assess the change in the condition of the ecosystem as a whole. PAEC includes explicit, quantitative or qualitative, assessments of uncertainty at different levels and integrates these in the final assessment. As proofs-of-concept we summarize the application of the PAEC protocol to a marine and a terrestrial ecosystem in Norway.

Indexed as

Conservation of Natural ResourcesEcosystemEnvironmental MonitoringUncertaintyAdaptive monitoring and managementEcosystem-based managementEcosystem characteristicsEcosystem stateTrajectoriesUncertainty

Identifiers

PMID39271533
PMCPMC11438735

What OpenQuestion holds

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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.