Evidence map›Paper›PMID 35945415›Full record

ArticleAmbio2023

Social-ecological system analysis of an invertebrate gleaning fishery on the island of Unguja, Zanzibar.

Johann Stiepani, Narriman Jiddawi, Lina Mtwana Nordlund

Open access · hybridAbstract read
In one paragraph

Article in Ambio, 2023. 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
3.2field-weighted citation impact, top 8% of its field
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, 20 citations in OpenAlex.

  1. 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 at 2 institutions in 2 countries.

Johann StiepaniNatural Resources and Sustainable Development, NRHU Department of Earth Sciences, Uppsala University, Campus Gotland, Visby, Sweden. johann.stiepani@geo.uu.se.ORCID http://orcid.org/0000-0002-7739-3231
Narriman JiddawiInstitute of Marine Sciences, University of Dar Es Salaam, Dar Es Salaam, Tanzania.
Lina Mtwana NordlundNatural Resources and Sustainable Development, NRHU Department of Earth Sciences, Uppsala University, Campus Gotland, Visby, Sweden.
Uppsala University · SEUniversity of Dar es Salaam · TZ

Funding

Svenska Forskningsrådet Formas 2017-05411Svenska Forskningsrådet Formas 2017-05535
6 · The paper itself

Abstract

Invertebrate gleaning is a small-scale fishery that commonly occurs in the intertidal zone across the tropical Indo-Pacific. In this study, we investigated and analyzed several components of this fishery on the island of Unguja, Zanzibar by employing the social-ecological systems framework from Ostrom 2009. In doing so, we conducted ecological surveys, catch assessments, interviews with gleaners, household surveys, focus group interviews and analyzed the governance structure. This social-ecological systems analysis showed that gleaning is important for food security, local culture and livelihood. Yet, the multiple approaches in our study revealed that the local intertidal zone is degrading and that the gleaned catch is changing. Local narratives indicate that economically important bivalves (Modiolus spp.) and gastropods (Strombus spp.) are in decline, which was paralleled with low abundances of both genera within the ecological survey of the intertidal and catch landing assessment. We recommend that invertebrate gleaning, a fishery mainly comprised of women should be included in fisheries management.

Indexed as

FisheriesInvertebratesAnimalsConservation of Natural ResourcesEcosystemFemaleHumansTanzaniaInvertebrate gleaningSmall-scale fisheriesSocial-ecological systemsWestern Indian Ocean

Identifiers

PMID35945415
PMCPMC9666602
OpenAlexW4290786625

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.