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Document type:
Forschungsdaten
Publication date:
12.08.2021
Responsible:
Rojas-Botero, Sandra Liliana
Authors:
Rojas-Botero, Sandra Liliana ; Kollmann, Johannes ; Teixeira, Leonardo H.
Author affiliation:
TUM
Publisher:
TUM
Title:
Biomass production of native plant communities and invasive plant species under varying experimental environmental conditions
Files:
(i) Duernast_experiment_biomass
(ii) TUMmesa2017_experiment_biomass
(iii) TUMmesa2018_experiment_biomass
Identifier:
doi:10.14459/2021mp1618667
End date of data production:
31.12.2020
Subject area:
UMW Umweltwissenschaften
Other subject areas:
Ecology ; Invasion Biology
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Tabellen / tables
Description:
Collected data from three experiments conducted in greenhouse and climate chambers to evaluate the biomass production of native plant communities and an invasive species submitted to particular environmental fluctuations (fertilization, heat and flood). Data corresponds to dry biomass of the plant material harvested at the end of the experiments. For details regarding each dataset, please refer to the readme file.
Method of data assessment:
Once the experiments reached the harvest point, biomass was clipped above 1-cm of soil level, samples were divided into native and invasive species and packed in paper bags for drying in the oven for 48 to 96 h at 65°C. The resulting dry biomass was weighed in precision scales, and the values noted in tables according to experimental conditions
Links:
This dataset relates to the publication: https://doi.org/10.1007/s10530-021-02630-4
Key words:
Biotic Resistance; Competition; Ecological restoration; Environmental fluctuation; Grassland; Invasibility; Priority effects; Propagule pressure; Solidago gigantea
Technical remarks:
View and download (14,7 KB total, 5 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1618667):
rsync rsync://m1618667@dataserv.ub.tum.de/m1618667/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst (F.7-F5121.14.2.3/14/9) Deutsche Forschungsgemeinschaft (INST 95/1184- FUGG)
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