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Biomass partitioning in grassland plants along independent gradients in temperature and precipitation
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences. University of Bergen, Norway.
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Number of Authors: 6
2016 (English)In: Perspectives in plant ecology, evolution and systematics, ISSN 1433-8319, E-ISSN 1618-0437, Vol. 19, 1-11 p.Article in journal (Refereed) Published
Abstract [en]

How plants allocate biomass to different parts strongly affects vegetation dynamics and ecosystem processes and services such as productivity and carbon storage. We tested the hypothesis that plant size explains the majority of variation in the size of plant parts (as predicted by allometric partitioning theory, APT) and that additional variation is explained by optimal responses for a given individual reproductive state and environment (as predicted by optimal partitioning theory, OPT) for alpine-lowland species pairs from three genera of grassland plants (Veronica, Viola and Carex) sampled along orthogonal gradients in temperature and precipitation. We found general patterns of allometric scaling (allometric exponents) of roots, stems, leaves and flowers, more or less as predicted by APT, and these patterns remained fairly constant across temperature and precipitation gradients. In contrast, basic allocation (allometric coefficients) was clearly related to climate, such as less allocation to leaves but more to roots, stems and flowers with increasing temperatures, in accordance with OPT. Furthermore, our results show that basic allocation is related to habitat affinity (alpine, lowland) and individual life-history states (reproductive or not) and that there is greater variability in small plants, which suggests that biomass partitioning theory should consider both the life-history and ecology of small plants to accurately predict climate-related grassland plant allocation and its implications.

Place, publisher, year, edition, pages
2016. Vol. 19, 1-11 p.
Keyword [en]
Allocation, Allometric partitioning theory, Optimal partitioning theory, Climate change, Temperature, Precipitation, Alpine plants
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-135075DOI: 10.1016/j.ppees.2016.01.006ISI: 000384272800001OAI: oai:DiVA.org:su-135075DiVA: diva2:1049570
Available from: 2016-11-25 Created: 2016-10-31 Last updated: 2016-11-25Bibliographically approved

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