TY - JOUR
T1 - The compadre Plant Matrix Database
T2 - An open online repository for plant demography
AU - Salguero-Gómez, Roberto
AU - Jones, Owen R.
AU - Archer, C. Ruth
AU - Buckley, Yvonne M.
AU - Che-Castaldo, Judy
AU - Caswell, Hal
AU - Hodgson, David
AU - Scheuerlein, Alexander
AU - Conde, Dalia A.
AU - Brinks, Erik
AU - de Buhr, Hendrik
AU - Farack, Claudia
AU - Gottschalk, Fränce
AU - Hartmann, Alexander
AU - Henning, Anne
AU - Hoppe, Gabriel
AU - Römer, Gesa
AU - Runge, Jens
AU - Ruoff, Tara
AU - Wille, Julia
AU - Zeh, Stefan
AU - Davison, Raziel
AU - Vieregg, Dirk
AU - Baudisch, Annette
AU - Altwegg, Res
AU - Colchero, Fernando
AU - Dong, Ming
AU - de Kroon, Hans
AU - Lebreton, Jean Dominique
AU - Metcalf, Charlotte J.E.
AU - Neel, Maile M.
AU - Parker, Ingrid M.
AU - Takada, Takenori
AU - Valverde, Teresa
AU - Vélez-Espino, Luis A.
AU - Wardle, Glenda M.
AU - Franco, Miguel
AU - Vaupel, James W.
N1 - Publisher Copyright:
© 2014 The Authors. Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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. Synthesis: Large collections of data sets 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.
AB - 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. Synthesis: Large collections of data sets 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.
KW - Big data
KW - Comparative approach
KW - Elasticity
KW - Matrix population model
KW - Open access
KW - Plant population and community dynamics
KW - Population growth rate
KW - Sensitivity
KW - Transient dynamics
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U2 - 10.1111/1365-2745.12334
DO - 10.1111/1365-2745.12334
M3 - Article
AN - SCOPUS:84920956297
SN - 0022-0477
VL - 103
SP - 202
EP - 218
JO - Journal of Ecology
JF - Journal of Ecology
IS - 1
ER -