A standard protocol to report discrete stage-structured demographic information
Author:
Gascoigne Samuel J. L.ORCID, Rolph SimonORCID, Sankey Daisy, Nidadavolu Nagalakshmi, Pičman Adrian S. Stell, Hernández Christina M., Philpott Matthew E. R., Salam Aiyla, Bernard Connor, Fenollosa ErolaORCID, Lee Young Jun, McLean Jessie, Perera Shathuki Hetti Achchige, Spacey Oliver G., Kajin Maja, Vinton Anna C.ORCID, Archer C. RuthORCID, Burns Jean H.ORCID, Buss Danielle L.ORCID, Caswell HalORCID, Che-Castaldo Judy P.ORCID, Childs Dylan Z.ORCID, Capdevila PolORCID, Compagnoni AldoORCID, Crone Elizabeth, Ezard Thomas H. G.ORCID, Hodgson Dave, Knight Tiffany M.ORCID, Jones Owen R.ORCID, Jongejans EelkeORCID, McDonald Jenni, Tenhumberg BrigitteORCID, Thomas Chelsea C., Tyre Andrew J.ORCID, Ramula Satu, Stott IainORCID, Tremblay Raymond L.ORCID, Wilson Phil, Vaupel James W.ORCID, Salguero-Gómez Roberto
Abstract
AbstractStage-based demographic methods, such as matrix population models (MPMs), are powerful tools used to address a broad range of fundamental questions in ecology, evolutionary biology, and conservation science. Accordingly, MPMs now exist for over 3,000 species worldwide. These data are being digitised as an ongoing process and periodically released into two large open-access online repositories: the COMPADRE Plant Matrix Database and the COMADRE Animal Matrix Database. During the last decade, data archiving and curation of COMPADRE and COMADRE, and subsequent comparative research, have revealed pronounced variation in how MPMs are parameterized and reported.Here, we summarise current issues related to the parameterisation and reporting of MPMs that arise most frequently and outline how they affect MPM construction, analysis, and interpretation. To quantify variation in how MPMs are reported, we present results from a survey identifying key aspects of MPMs that are frequently unreported in manuscripts. We then screen COMPADRE and COMADRE to quantify how often key pieces of information are omitted from manuscripts using MPMs.Over 80% of surveyed researchers (n=60) state a clear benefit to adopting more standardised methodologies for reporting MPMs. Furthermore, over 85% of the 300 MPMs assessed from COMPADRE and COMADRE omitted one or more elements that are key to their accurate interpretation. Based on these insights, we identify fundamental issues that can arise from MPM construction and communication and provide suggestions to improve clarity, reproducibility, and future research utilising MPMs and their required metadata. To fortify reproducibility and empower researchers to take full advantage of their demographic data, we introduce a standardized protocol to present MPMs in publications. This standard is linked towww.compadre-db.org, so that authors wishing to archive their MPMs can do so prior to submission of publications, following examples from other open-access repositories such as DRYAD, Figshare, and Zenodo.Combining and standardising MPMs parameterized from populations around the globe and across the tree of life opens up powerful research opportunities in evolutionary biology, ecology, and conservation research. However, this potential can only be fully realised by adopting standardised methods to ensure reproducibility.
Publisher
Cold Spring Harbor Laboratory
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