The compadrePlant Matrix Database: an open online repository for plant demography

Journal of Ecology - Tập 103 Số 1 - Trang 202-218 - 2015
Roberto Salguero‐Gómez1,2,3, Owen Jones4,5, C. Ruth Archer6, Yvonne M. Buckley1,3, Judy Che‐Castaldo7, Hal Caswell8,9, David J. Hodgson10, Alexander Scheuerlein2, Dalia A. Conde4,5,11, Erik Brinks2, H. Buhr2, Claudia Farack2, Fränce Gottschalk2, Alexander Hartmann2, Anne Hennig2, Gabriel Hoppe2, Gesa Römer2, Jens Runge2, Tara Ruoff12, Julia Wille2, Stefan Zeh2, Raziel Davison6, Dirk Vieregg2, Annette Baudisch6, Res Altwegg13, Fernando Colchero14,5, Ming Dong15, Hans de Kroon16, Jean‐Dominique Lebreton17, C. Jessica E. Metcalf18,19, Maile M. Neel12, Ingrid M. Parker20, Tappei Takada21, Teresa Valverde22, Luis A. Vélez‐Espino23, Glenda M. Wardle24, Miguel Franco25, James W. Vaupel2,26,27
1ARC Centre of Excellence for Environmental Decisions, School of Biological Sciences, The University of Queensland, St Lucia, QLD 4072, Australia
2Evolutionary Biodemography Laboratory Max Planck Institute for Demographic Research Konrad‐Zuse‐Straße 1 Rostock DE‐18057 Germany
3School of Natural Sciences Zoology Trinity Centre for Biodiversity Research Trinity College Dublin Dublin 2 Ireland
4Department of Biology, University of Southern Denmark, 5230 Odense M, Denmark
5Max-Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, 5230 Odense M., Denmark
6Max Planck Research Group on Modelling the Evolution of Ageing, Max Planck Institute for Demographic Research, Rostock, DE-18057 Germany
7National Socio-Environmental Synthesis Center, 1 Park Place, Annapolis, MD, 21401 USA
8Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands
9Woods Hole Oceanographic Institution, Woods Hole, MA, 02543-1050 USA
10Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Cornwall, TR10 9FE UK
11Royal Zoological Society of Antwerp - Centre for Research and Conservation, Koningin Astridplein 20-26, 2018 Antwerpen, Belgium
12Department of Plant Science and Landscape Architecture and Department of Entomology, University of Maryland, College Park, MD, 20742, USA
13Statistics in Ecology, Environment and Conservation, Department of Statistical Sciences and African Climate and Development Initiative, University of Cape Town, Rondebosch, 7701 South Africa
14Department of Mathematics and Computer Science, University of Southern Denmark, 5230, Odense M, Denmark
15Key Laboratory of Hangzhou City for Ecosystem Protection and Restoration, Hangzhou Normal University, Hangzhou, 310036, China
16Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, 6500 GL The Netherlands
17Centre d'Ecologie Fonctionnelle & Evolutive CNRS 34293 Montpellier France
18Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540, USA
19Woodrow Wilson School, Princeton University, Princeton, NJ, 08540 USA
20Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
21Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan
22Departamento de Ecología y Recursos Naturales Facultad de Ciencias Universidad Nacional Autónoma de México México D.F 04510 México
23Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, V9T 4X7 Canada
24School of Biological Sciences, The University of Sydney, Sydney, NSW, Australia
25School of Biological Sciences, Plymouth University, Plymouth, Devon, PL4 8AA UK
26Population Research Institute Social Science Research Institute Duke University Durham NC 27708‐0309 USA
27Population Research Institute, Social Science Research Institute, Duke University, Durham, NC, 27708-0309 USA

Tóm tắt

Summary Schedules of survival, growth and reproduction are key life‐history traits. Data on how these traits vary among species and populations are fundamental to our understanding of the ecological conditions that have shaped plant evolution. Because these demographic schedules determine population growth or decline, such data help us understand how different biomes shape plant ecology, how plant populations and communities respond to global change and how to develop successful management tools for endangered or invasive species. Matrix population models summarize the life cycle components of survival, growth and reproduction, while explicitly acknowledging heterogeneity among classes of individuals in the population. Matrix models have comparable structures, and their emergent measures of population dynamics, such as population growth rate or mean life expectancy, have direct biological interpretations, facilitating comparisons among populations and species. Thousands of plant matrix population models have been parameterized from empirical data, but they are largely dispersed through peer‐reviewed and grey literature, and thus remain inaccessible for synthetic analysis. Here, we introduce the compadre Plant Matrix Database version 3.0, an open‐source online repository containing 468 studies from 598 species world‐wide (672 species hits, when accounting for species studied in more than one source), with a total of 5621 matrices. compadre also contains relevant ancillary information (e.g. ecoregion, growth form, taxonomy, phylogeny) that facilitates interpretation of the numerous demographic metrics that can be derived from the matrices. Synthesis. Large collections of data allow broad questions to be addressed at the global scale, for example, in genetics (genbank), functional plant ecology (try, bien, d3) and grassland community ecology (nutnet). Here, we present compadre, a similarly data‐rich and ecologically relevant resource for plant demography. Open access to this information, its frequent updates and its integration with other online resources will allow researchers to address timely and important ecological and evolutionary questions.

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Journal of Ecology

Tập 103 Số 1

202-218

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