A standard protocol to report discrete stage‐structured demographic information

Author:

Gascoigne Samuel J. L.1ORCID,Rolph Simon2ORCID,Sankey Daisy1,Nidadavolu Nagalakshmi1,Stell Pičman Adrian S.13,Hernández Christina M.4ORCID,Philpott Matthew E. R.1,Salam Aiyla1,Bernard Connor1ORCID,Fenollosa Erola1ORCID,Lee Young Jun1,McLean Jessica1,Hetti Achchige Perera Shathuki1,Spacey Oliver G.1ORCID,Kajin Maja13ORCID,Vinton Anna C.1ORCID,Archer C. Ruth5ORCID,Burns Jean H.6ORCID,Buss Danielle L.78ORCID,Caswell Hal9ORCID,Che‐Castaldo Judy P.10ORCID,Childs Dylan Z.2ORCID,Capdevila Pol11ORCID,Compagnoni Aldo11213ORCID,Crone Elizabeth14ORCID,Ezard Thomas H. G.15ORCID,Hodgson Dave8ORCID,Knight Tiffany M.121316ORCID,Jones Owen R.17ORCID,Jongejans Eelke1819ORCID,McDonald Jenni2021ORCID,Tenhumberg Brigitte22ORCID,Thomas Chelsea C.23,Tyre Andrew J.2425ORCID,Ramula Satu26ORCID,Stott Iain27ORCID,Tremblay Raymond L.282930ORCID,Wilson Phil8,Vaupel James W.31ORCID,Salguero‐Gómez Roberto13233ORCID

Affiliation:

1. Department of Biology University of Oxford Oxford UK

2. Department of Animal & Plant Sciences University of Sheffield Sheffield UK

3. Department of Biology University of Ljubljana Ljubljana Slovenia

4. Department of Ecology and Evolutionary Biology Cornell University Ithaca New York USA

5. Institute of Evolutionary Ecology and Conservation Genomics University of Ulm Ulm Germany

6. Department of Biology Case Western Reserve University Cleveland Ohio USA

7. Department of Archaeology University of Cambridge Cambridge UK

8. College of Life and Environmental Sciences University of Exeter Penryn UK

9. Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The Netherlands

10. Branch of Species Status Assessment Science Support U.S. Fish and Wildlife Service Washington DC USA

11. School of Biological Sciences University of Bristol Bristol UK

12. Institute of Biology, Martin Luther University Halle‐Wittenburg Halle (Saale) Germany

13. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

14. Department of Biology Tufts University Medford Massachusetts USA

15. School of Ocean and Earth Science University of Southampton Southampton UK

16. Department of Community Ecology Helmholtz Centre for Environmental Research‐UFZ Halle (Saale) Germany

17. Department of Biology University of Southern Denmark Odense Denmark

18. Animal Ecology and Physiology Radboud University Nijmegen The Netherlands

19. NIOO‐KNAW, Animal Ecology Wageningen The Netherlands

20. Veterinary Department, Cats Protection National Cat Centre Haywards Heath UK

21. Bristol Veterinary School University of Bristol Bristol UK

22. School of Biological Sciences and Department of Mathematics University of Nebraska Lincoln Nebraska USA

23. Alexander Center for Applied Population Biology, Conservation & Science Department Chicago Illinois USA

24. School of Natural Resources University of Nebraska‐Lincoln Lincoln Nebraska USA

25. Global Resistance Management Team Bayer U.S. – Crop Science Chesterfield Missouri USA

26. Department of Biology University of Turku Turku Finland

27. School of Life Sciences University of Lincoln Lincoln UK

28. Department of Biology University of Puerto Rico San Juan Puerto Rico USA

29. Center for Applied Tropical Ecology and Conservation University of Puerto Rico San Juan Puerto Rico USA

30. Department of Biology University of Puerto Rico‐Humacao Puerto Rico USA

31. Interdisciplinary Centre on Population Dynamics University of Southern Denmark Odense Denmark

32. Centre for Biodiversity and Conservation Science University of Queensland St Lucia Queensland Australia

33. Evolutionary Demography Laboratory Max Planck Institute for Demographic Research Rostock Germany

Abstract

Abstract Stage‐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 3000 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 standardised protocol to present MPMs in publications. This standard is linked to www.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.

Funder

Natural Environment Research Council

National Science Foundation

European Research Council

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

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