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Several candidate size metrics explain vital rates across multiple populations throughout a widespread species' range

  • Maude E.A. Baudraz
  • , Dylan Z. Childs
  • , Ruth Kelly
  • , Annabel L. Smith
  • , Jesus Villellas
  • , Martin Andrzejak
  • , Benedicte Bachelot
  • , Lajos K. Benedek
  • , Simone P. Blomberg
  • , Judit Bodis
  • , Francis Q. Brearley
  • , Anna Bucharova
  • , Christina M. Caruso
  • , Jane A. Catford
  • , Matthew Coghill
  • , Aldo Compagnoni
  • , Anna Mária P. Csergő
  • , Richard P. Duncan
  • , John Dwyer
  • , Johan Ehrlén
  • Bret D. Elderd, Alain Finn, Lauchlan Fraser, Maria B. García, Jennifer R. Gremer, Ronny Groenteman, Liv Norunn Hamre, Aveliina Helm, Maria Höhn, Lotte Korell, Lauri Laanisto, Anna Liisa Laine, Michele Lonati, Caroline M. McKeon, Aoife Molloy, Joslin L. Moore, Melanie Morales, Sergi Munne-Bosch, Zuzana Münzbergová, Siri L. Olsen, Adrian Oprea, Meelis Pärtel, Rachel M. Penczykowski, William K. Petry, Satu Ramula, Pil U. Rasmussen, Simone Ravetto Enri, Deborah A. Roach, Anna Roeder, Christiane Roscher, Marjo Saastamoinen, Cheryl Schultz, R. Drew Sieg, Olav Skarpaas, Ayco J.M. Tack, Joachim Töpper, Peter A. Vesk, Gregory Vose, Elizabeth M. Wandrag, Glenda M. Wardle, Astrid Wingler, Yvonne M. Buckley
  • Trinity College Dublin
  • University of Sheffield
  • Agri-Food and Biosciences Institute, Belfast
  • University of Queensland
  • University of Alcalá
  • Helmholtz Centre for Environmental Research
  • German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • Oklahoma State University
  • Hungarian University of Agriculture and Life Sciences
  • Manchester Metropolitan University
  • University of Tübingen
  • University of Marburg
  • University of Guelph
  • King's College London
  • Australian National University
  • Thompson Rivers University
  • Martin Luther University Halle-Wittenberg
  • University of Canberra
  • Stockholm University
  • Louisiana State University
  • Pyrenean Institute of Ecology (CSIC)
  • University of California at Davis
  • Manaaki Whenua - Landcare Research
  • Western Norway University of Applied Sciences
  • University of Tartu
  • Estonian University of Life Sciences
  • University of Helsinki
  • University of Turin
  • State Government of Victoria
  • Monash University
  • University of Barcelona
  • Charles University
  • Norwegian University of Life Sciences
  • Norwegian Institute for Nature Research
  • Alexandru Ioan Cuza University of Iaşi
  • Washington University St. Louis
  • North Carolina State University
  • University of Turku
  • National Research Centre for the Working Environment
  • University of Virginia
  • Washington State University Vancouver
  • Truman State University
  • University of Oslo
  • University of Melbourne
  • Merritt College
  • University of York
  • The University of Sydney

Research output: Contribution to journal › Article › peer-review

Abstract

Individual plant size often determines the vital rates of growth, survival and reproduction. However, size can be measured in several ways (e.g. height, biomass, leaf length). There is no consensus on the best size metric for modelling vital rates in plants. Demographic datasets are expanding in geographic extent, leading to choices about how to represent size for the same species in multiple ecological contexts. If the choice of size variable varies among locations, inter-population comparative demography increases in complexity. Here, we present a framework to perform size metric selection in large-scale demographic studies. We highlight potential pitfalls and suggest methods applicable to diverse study organisms. We assessed the performance of five different size metrics for the perennial herb Plantago lanceolata, across 55 populations on three continents within its native and non-native ranges, using the spatially replicated demographic dataset PlantPopNet. We compared the performance of each candidate size metric for four vital rates (growth, survival, flowering probability and reproductive output) using generalized linear mixed models. We ranked the candidate size metrics based on their overall performance (highest generalized R2) and homogeneity of performance across populations (lowest total magnitude of, and variance in, population-level error). While all size variables performed well for modelling vital rates, the number of leaves (modelled as a discrete variable, without transformation) was selected as the best size metric, followed by leaf length. We show how to interrogate potential trade-offs between overall explanatory power and homogeneity of predictions across populations in any organism. Synthesis. Size is an important determinant of vital rates. Using a dataset of unprecedented spatial extent, we find (a) consistent size-based models of growth, survival and reproduction across native and non-native populations of this cosmopolitan plant species and (b) that several tested size metrics perform similarly well. This is encouraging for large-scale demographic studies and for comparative projects using different size metrics, as they may be robust to this methodological difference.

Original languageEnglish
Pages (from-to)3159-3176
Number of pages18
JournalJournal of Ecology
Volume113
Issue number11
DOIs
Publication statusPublished - Nov 2025

Keywords

  • demography
  • landscape demography
  • large scale spatial demography
  • plant population ecology and macroecology
  • population models
  • size variable selection
  • state variable selection

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