The hidden half of ontogeny and seasonal dynamics in perennial herbs
Data files
Jan 21, 2025 version files 151.68 KB
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README.md
8.83 KB
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rhizome_ontogeny.csv
141.96 KB
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spec_traits.csv
888 B
Abstract
The life strategy of perennial herbs is dependent on coarse belowground organs, such as rhizomes, bulbs, tubers, and storage roots, necessary for repeated seasonal regrowth and often invaluable for vegetative reproduction. Yet, the development of these organs in early life and its links to the dynamics of aboveground parts is generally unknown.
To unravel the ontogeny and seasonal dynamics of belowground coarse organs in perennial plants, we conducted a three-year experimental study with twenty species differing by rhizome type.
We confirmed that the ontogeny of aboveground and belowground plant parts differ, that belowground ontogeny is partly driven by species phenological strategy, and that there are differences in ontogeny between belowground organ types. The costs of coarse belowground organ constructions along with morphological constraints occurring during ontogeny may govern species' reproductive and carbohydrate storage strategies.
Synthesis:
We show that to fully understand plant strategies, plants need to be studied as integrated bodies consisting of aboveground and belowground organs reciprocally influencing each other.
README: The hidden half of ontogeny and seasonal dynamics in perennial herbs
https://doi.org/10.5061/dryad.k0p2ngfjd
Description of the data and file structure
Data for a three-year experimental study with ten pairs of phylogenetically closely related plant species differing by rhizome type.
The study was performed in open unheated open-side greenhouse without artificial light at the Institute of Botany, Třeboň, Czech Republic (49.006 N, 14.772 E).
Seeds for the study were available from the commercial supplier Planta Naturalis (Markvartice u Sobotky, Czech Republic, 50.428 N, 15.198 E)
Contact Jana Martínková (mailto:jana.martinkova@ibot.cas.cz) with any questions. This manuscript has been accepted for publication in Journal of Ecology (12/17/2024):
Martínková, J., Klimeš, A., Marešová, I., and Klimešová, J. The hidden half of ontogeny and seasonal dynamics in perennial herbs. Journal of Ecology (accepted)
Data files include:
rhizome_ontogeny.csv
This file contains values of traits and chemical data on ten pairs of phylogenetically closely related plant species differing by rhizome type
All data were collected by the authors. NA cells represent not applicable data.
Variables | units | Description |
---|---|---|
Treatment | categorical | Treatment identification - time of experimental plants harvest - spring/autumn, 2019/2020/2021 |
Species | categorical | Species name |
Species_code | number | Numerical code for each species |
Rhizome type | categorical | Idetification if rhizome type - hypo: hypogeogenous rhizome, epi:epigeogenous rhizome |
Flowering | categorical 0/1 | 0- individual did not flower, 1 - individual flowered at the time of harvest |
Maximum_height | cm | Maximum plant height, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Ramet_number | number | Rament number, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Rhizome_DMC | number | Rhizome dry matter content, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Fine_root_DMC | number | Fine root dry matter content, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Rhizome_weight_dry | g | Weight of dry rhizome biomass, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Above_biomass_dry | g | Weight of dry aboveground biomass, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
N | % | Concentration of nitrogen in fine roots, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
C | % | Concentration of carbon in fine roots, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
P | % | Concentration of phosphorus in fine roots, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Transport_sugars_concentration | % | Concentration of transport sugars in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Starch_concentration | % | Concentration of starch in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Other_sugars_concentration | % | Concentration of other sugars in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Total_sugars_concentration | % | Total sugar concentration in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Transport_sugars_content | mg | Content of transport sugars in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Starch_content | mg | Content of starch in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Other_sugars_content | mg | Content of other sugars in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Total_sugars_content | mg | Total sugar content in rhizome, transformed using natural logarithm and standardized to have mean 0 and standard deviation 1 |
Survival | categorical | Dead/Alive at the time of harvest |
spec_traits.csv
This file contains data on species environmental preferencies (for moisture, disturbance frequency and disturance severity) and on species lateral spread and phenology.
Data on lateral spread were taken from the Clo-Pla database (https://clopla.butbn.cas.cz [accessed on NOV 3rd, 2022]; Klimešová et al., 2017b).
In the case of multiple inputs or a range of values, the mean for species was calculated.
Data on phenology were taken from a key to the Flora of the Czech Republic (Kaplan et al., 2019) as a month marking the midpoint of each species’ flowering season.
Data on Ellenberg indicator value for moisture and data on herb-layer disturbance frequency and severity indicator values were obtained from the PLADIAS database (www.pladias.cz [accessed on NOV 3rd, 2022]; Chytrý et al., 2021).
Klimešová, J., Danihelka, J., Chrtek, J., de Bello, F. & Herben, T. (2017b) CLO-PLA: a database of clonal and bud-bank traits of the Central European flora. Ecology, 98, 1179-1179. https://doi.org/10.1002/ecy.1745
Kaplan, Z., Danihelka, J., Chrtek, J.., Kirschner, J., Kubát, K., Štech, M. & Štěpánek J. (eds) (2019): Klíč ke květeně České republiky [Key to the flora of the Czech Republic]. Edition 2., Academia, Praha.
Chytrý, M., Danihelka, J., Kaplan, Z., Wild, J., Holubová, D., Novotný, P. et al. (2021) Pladias database of the Czech flora and vegetation. Preslia, 93, 1-87. https://doi.org/10.23855/preslia.2021.001
Variables | units | Description | |
---|---|---|---|
Species | categorical | Species name | |
Lateral_spread | m/year | Lateral spread - distance from mother to daughter attained per year | |
Phenology | month | A month marking the midpoint of each species’ flowering season | |
Ellenberg_Moisture | categorical | Ellenberg indicator value for moisture | |
Disturbance_frequency | number | Herb-layer disturbance frequency indicator | |
Disturbance_severity | number | Herb-layer disturbance severity indicator | |