Evidence map›Paper›PMID 40261512›Full record

ArticleAmbio2025

Novelty, variability, and resilience: Exploring adaptive cycles in a marine ecosystem under pressure.

Yosr Ammar, Riikka Puntila-Dodd, Maciej T Tomczak, Magnus Nyström, Thorsten Blenckner

Abstract read
In one paragraph

Article in Ambio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yosr AmmarDepartment of Environmental Research and Monitoring, Swedish Museum of Natural History, P.O. Box 50007, 104 05, Stockholm, Sweden. yosr.ammar@nrm.se.ORCID http://orcid.org/0000-0002-3968-2008
Riikka Puntila-DoddMarine and Freshwater Solutions, Finnish Environment Institute, Helsinki, Finland.
Maciej T TomczakDepartment of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences, P.O. Box 7018, 750 07, Uppsala, Sweden.
Magnus NyströmStockholm Resilience Centre, Stockholm University, 106 91, Stockholm, Sweden.
Thorsten BlencknerStockholm Resilience Centre, Stockholm University, 106 91, Stockholm, Sweden.

Funding

Bonus BONUS (Art 185)Svenska Forskningsrådet Formas 2021-00942
6 · The paper itself

Abstract

Marine ecosystems are increasingly reshaped by climate change and human activities, resulting in novelty in species assemblages that have shifted beyond historical baselines. One unresolved question is how novelty influences resilience. Here, we examine how novelty arises in ecosystems when they transition through phases and affects resilience using the adaptive cycle framework. We use results from an ecosystem model of the Finnish Archipelago Sea (Baltic Sea) under contrasting climate, nutrient load and fishing scenarios. We quantify novelty in species composition and biomass and use ecological network analysis indices to identify adaptive cycle phases and resilience. Results suggest resilience decreases with higher novelty under warmer climate scenarios. Low nutrient load scenarios facilitate faster adaptive cycles and greater resilience than high nutrient load scenarios under the same climate conditions. Connecting network indices to the adaptive cycle helps to understand how the growing human-induced novelty influences resilience, supporting core resilience theory.

Indexed as

Aquatic OrganismsClimate ChangeEcosystemAnimalsBiomassFinlandOceans and SeasAdaptive cycleEcological network analysisEcosystem model and scenariosNoveltyReorganizationResilience

Identifiers

PMID40261512
PMCPMC12480343

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.