Benutzer: Gast  Login
Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
12.08.2021
Verantwortlich:
Rojas-Botero, Sandra Liliana
Autorinnen / Autoren:
Rojas-Botero, Sandra Liliana ; Kollmann, Johannes ; Teixeira, Leonardo H.
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
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
Identifikator:
doi:10.14459/2021mp1618667
Enddatum der Datenerzeugung:
31.12.2020
Fachgebiet:
UMW Umweltwissenschaften
zusätzliche Fachgebiete:
Ecology ; Invasion Biology
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Tabellen / tables
Methode der Datenerhebung:
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
Beschreibung:
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.
Links:
This dataset relates to the publication: https://doi.org/10.1007/s10530-021-02630-4
Schlagworte:
Biotic Resistance; Competition; Ecological restoration; Environmental fluctuation; Grassland; Invasibility; Priority effects; Propagule pressure; Solidago gigantea
Technische Hinweise:
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/
Sprache:
en
Rechte:
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)
 BibTeX