Evidence map›Paper›PMID 41335313›Full record

ArticleAmbio2026

Distribution of coastal blue carbon habitats in Sweden and their exposure to anthropogenic pressure.

Sara Braun, Martin Dahl, Maria E Asplund, Karin Ebert, Mats Björk, Martin Gullström

Abstract read
In one paragraph

Article in Ambio, 2026. 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

6 authors.

Sara BraunSchool of Natural Science, Technology and Environmental Studies, Södertörn University, 141 86, Huddinge, Sweden. sara.braun@sh.se.ORCID http://orcid.org/0000-0002-4353-7073
Martin DahlSchool of Natural Science, Technology and Environmental Studies, Södertörn University, 141 86, Huddinge, Sweden.ORCID http://orcid.org/0000-0003-2016-4857
Maria E AsplundDepartment of Biological and Environmental Sciences, University of Gothenburg, Kristineberg, 451 78, Fiskebäckskil, Sweden.ORCID http://orcid.org/0000-0001-9406-0976
Karin EbertSchool of Natural Science, Technology and Environmental Studies, Södertörn University, 141 86, Huddinge, Sweden.
Mats BjörkDepartment of Ecology, Environment and Plant Sciences (DEEP), Stockholm University, 106 91, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0363-110X
Martin GullströmSchool of Natural Science, Technology and Environmental Studies, Södertörn University, 141 86, Huddinge, Sweden.ORCID http://orcid.org/0000-0002-7552-2431

Funding

Östersjöstiftelsen 21-GP-0005Svenska Forskningsrådet Formas 2021-01280
6 · The paper itself

Abstract

Understanding where blue carbon habitats occur and how they are affected by human activity contributes to effective management of natural carbon sinks. Here, we compiled geographical data for Sweden to map the distribution of coastal vegetated blue carbon (BC) habitats. The mapping effort focused on well-recognised (salt marshes and seagrass meadows) and emergent BC habitats (other rooted submerged macrophytes and forested wetlands). We also estimated the exposure to anthropogenic pressures on coastal BC habitats based on their proximity to land-based human activities, and subsequently, the portion of these BC habitats that were located within protected areas. The total area of BC habitats was estimated to around 1850 km

Indexed as

Anthropogenic EffectsCarbonCarbon SequestrationConservation of Natural ResourcesEcosystemEnvironmental MonitoringHumansSwedenWetlandsCarbonCoastal managementEmergent blue carbon ecosystemsHabitat mappingLandscape analysisVegetated coastal habitats

Identifiers

PMID41335313
PMCPMC12960885

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.