Evidence map›Paper›PMID 39680544›Full record

ArticlePloS one2024

Why partner? Harnessing value from collaborative sustainable business models to restore coral reefs at scale.

Taryn M Kong, Bruce Taylor, Victoria Graham

Abstract read
In one paragraph

Article in PloS one, 2024. 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

3 authors.

Taryn M KongCommonwealth Scientific and Industrial Research Organisation (CSIRO), Environment, Brisbane, QLD, Australia.ORCID 0000-0003-0215-0021
Bruce TaylorCommonwealth Scientific and Industrial Research Organisation (CSIRO), Environment, Brisbane, QLD, Australia.
Victoria GrahamSchool of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, TAS, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical coral reefs provide a wide range of ecosystem services that benefit millions worldwide. However, the current scale of coral reef restoration is a long way from matching the extent needed to protect coral reefs globally, and this implementation gap presents a complex challenge to overcome. Cross-sectoral collaborative sustainable business models (CSBMs) present an interesting opportunity to scale up coral restoration, though this area is yet to be explored in the literature. In this paper, we use the Reef Restoration and Adaptation Program in the Great Barrier Reef as a case study to examine potential collaborators, their roles, and what benefits motivate them to partner for scaling coral restoration. We identified a diverse range of potential collaborators from 10 sectors offering different combinations of physical, human and organisational capitals. Participants described nine roles they could play in such a partnership, and many of these roles relate to ecosystem growth scaling strategies. Benefits that motivate collaboration fall into seven categories: environmental benefit, business opportunity and value, employment opportunity, knowledge and technology, innovation, hope, and reputation. Our findings contribute to designing CSBMs for coral restoration by enriching our understanding of collaborators, value creation and their potential roles in alternative pathways to scale up coral restoration beyond reducing unit cost and increasing funding.

Indexed as

Conservation of Natural ResourcesCoral ReefsAnimalsAnthozoaCooperative BehaviorEcosystemEnvironmental Restoration and RemediationHumans

Identifiers

PMID39680544
PMCPMC11649128

What OpenQuestion holds

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LicenceCC BY
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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.