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A framework for optimising opportunistic collaborative syntheses to propel ecological conservation

2024-10Journal article Open access
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dc.contributor.authorSequeira, Ana M.M.
dc.contributor.authorBates, Amanda E.
dc.contributor.authorHays, Graeme
dc.contributor.authorSims, David W.
dc.contributor.authorAndrzejaczek, Samantha
dc.contributor.authorAudzijonyte, Asta
dc.contributor.authorBaum, Julia K.
dc.contributor.authorBeal, Martin
dc.contributor.authorBlock, Barbara
dc.contributor.authorCinner, Joshua
dc.contributor.authorCowley, Kaitlyn
dc.contributor.authorGilman, Eric
dc.contributor.authorGleason, Arthur
dc.contributor.authorHarrison, Autumn-Lynn
dc.contributor.authorHudson, Charlotte
dc.contributor.authorIshimura, Gakushi
dc.contributor.authorJabado, Rima W.
dc.contributor.authorLandrum, Jason P.
dc.contributor.authorMangubhai, Sangeeta
dc.contributor.authorMcClenachan, Loren
dc.contributor.authorMeagher, Laura
dc.contributor.authorRiginos, Cynthia
dc.contributor.authorSerrao, Ester A.
dc.contributor.authorSherley, Richard B.
dc.contributor.authorStuart-Smith, Rick D.
dc.contributor.authorWambiji, Nina
dc.contributor.authorMarley, Sarah A.
dc.date.accessioned2024-11-05T10:27:17Z
dc.date.available2024-11-05T10:27:17Z
dc.date.issued2024-10
dc.description.abstractEcological data are being opportunistically synthesised at unprecedented scales in response to the global biodiversity and climate crises. Such syntheses are often only possible through large-scale, international, multidisciplinary collaborations and provide important pathways for addressing urgent conservation questions. Although large collaborative data syntheses can lead to high-impact successes, they can also be plagued with difficulties. Challenges include the standardisation of data originally collected for different purposes, integration and interpretation of knowledge sourced across different disciplines and spatio-temporal scales, and management of differing perspectives from contributors with distinct academic and cultural backgrounds. Here, we use the collective expertise of a global team of conservation ecologists and practitioners to highlight common benefits and hurdles that arise with the development of opportunistic collaborative syntheses. We outline a framework of "best practice" for developing such collaborations, encompassing the design, implementation, and deliverable phases. Our framework addresses common challenges, highlighting key actions for successful collaboration and emphasizing the support requirements. We identify funding as a major constraint to sustaining the large, international, multidisciplinary teams required to advance collaborative syntheses in a just, equitable, diverse, and inclusive way. We further advocate for thinking strategically from the outset and highlight the need for reshaping funding agendas to prioritize the structures required to propel global scientific networks. Our framework will advance the science needed for ecological conservation and the sustainable use of global natural resources by supporting proto-groups initiating new syntheses, leaders and participants of ongoing projects, and funders who want to facilitate such collaborations in the future.eng
dc.description.sponsorshipDP DP210103091; FT190100599; ERC-AdG-883583
dc.identifier.doi10.1016/j.biocon.2024.110717
dc.identifier.issn0006-3207
dc.identifier.urihttp://hdl.handle.net/10400.1/26203
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.ispartofBiological Conservation
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBig data
dc.subjectConservation management
dc.subjectFunding sources
dc.subjectMarine science
dc.subjectScientific networks
dc.subjectGlobal projects
dc.titleA framework for optimising opportunistic collaborative syntheses to propel ecological conservationeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage110717
oaire.citation.titleBiological Conservation
oaire.citation.volume298
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSerrao
person.givenNameEster A.
person.identifierC-6686-2012
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.orcid0000-0003-1316-658X
person.identifier.scopus-author-id7004093604
relation.isAuthorOfPublication45ccfe90-155c-4d6f-9e86-8f0fd064005f
relation.isAuthorOfPublication.latestForDiscovery45ccfe90-155c-4d6f-9e86-8f0fd064005f

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