Author
Listed:
- Aldo Compagnoni
(Martin Luther University Halle-Wittenberg
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig)
- Sam Levin
(Martin Luther University Halle-Wittenberg
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig)
- Dylan Z. Childs
(University of Sheffield)
- Stan Harpole
(Martin Luther University Halle-Wittenberg
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Department of Physiological Diversity, Helmholtz-Centre for Environmental Research—UFZ)
- Maria Paniw
(University of Zurich)
- Gesa Römer
(University of Southern Denmark
University of Southern Denmark)
- Jean H. Burns
(Case Western Reserve University)
- Judy Che-Castaldo
(Alexander Center for Applied Population Biology, Conservation & Science Department, Lincoln Park Zoo)
- Nadja Rüger
(German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Smithsonian Tropical Research Institute, Apartado
University of Leipzig)
- Georges Kunstler
(Univ. Grenoble Alpes, INRAE, UR LESSEM)
- Joanne M. Bennett
(Martin Luther University Halle-Wittenberg
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
The University of Canberra, Canberra, Australian Capital Territory)
- C. Ruth Archer
(University of Exeter
University of Ulm)
- Owen R. Jones
(University of Southern Denmark
University of Southern Denmark)
- Roberto Salguero-Gómez
(University of Oxford)
- Tiffany M. Knight
(Martin Luther University Halle-Wittenberg
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
Department of Community Ecology, Helmholtz Centre for Environmental Research–UFZ)
Abstract
There is an urgent need to synthesize the state of our knowledge on plant responses to climate. The availability of open-access data provide opportunities to examine quantitative generalizations regarding which biomes and species are most responsive to climate drivers. Here, we synthesize time series of structured population models from 162 populations of 62 plants, mostly herbaceous species from temperate biomes, to link plant population growth rates (λ) to precipitation and temperature drivers. We expect: (1) more pronounced demographic responses to precipitation than temperature, especially in arid biomes; and (2) a higher climate sensitivity in short-lived rather than long-lived species. We find that precipitation anomalies have a nearly three-fold larger effect on λ than temperature. Species with shorter generation time have much stronger absolute responses to climate anomalies. We conclude that key species-level traits can predict plant population responses to climate, and discuss the relevance of this generalization for conservation planning.
Suggested Citation
Aldo Compagnoni & Sam Levin & Dylan Z. Childs & Stan Harpole & Maria Paniw & Gesa Römer & Jean H. Burns & Judy Che-Castaldo & Nadja Rüger & Georges Kunstler & Joanne M. Bennett & C. Ruth Archer & Owen, 2021.
"Herbaceous perennial plants with short generation time have stronger responses to climate anomalies than those with longer generation time,"
Nature Communications, Nature, vol. 12(1), pages 1-8, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21977-9
DOI: 10.1038/s41467-021-21977-9
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