Dataset on soil nematode abundance and composition from invaded and non-invaded grassland and forest ecosystems in Europe
The dataset presents comprehensive information on soil nematode genera distribution in ecosystems across Slovakia, Poland, Lithuania, and Russia. Data were collected from invaded plots by invasive plants and non-invaded plots from grasslands, deciduous forests, and coniferous forest ecosystems in di...
Gespeichert in:
Veröffentlicht in: | Data in brief 2024-12, Vol.57, p.111098, Article 111098 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The dataset presents comprehensive information on soil nematode genera distribution in ecosystems across Slovakia, Poland, Lithuania, and Russia. Data were collected from invaded plots by invasive plants and non-invaded plots from grasslands, deciduous forests, and coniferous forest ecosystems in diverse geographical regions. Invasive plant species included in this dataset are Asclepias syriaca, Fallopia japonica, Heracleum mantegazzianum, H. sosnowskyi, Impatiens parviflora and Solidago gigantea. The soil properties such as pH, moisture content, carbon, and nitrogen levels were recorded, providing comprehensive information on soil conditions. The data collection process involved standardized soil sampling techniques across all sites, ensuring consistency and comparability. The dataset offers valuable insights into soil nematode biodiversity dynamics in response to plant species invasions in European ecosystems. Nematode genera were classified according to feeding types and colonizer-persister class. Researchers interested in soil ecology, biodiversity conservation, and invasive species management can use this dataset for various purposes. Potential reuses include comparative analyses of nematode community composition, ecological modelling to predict invasive species impacts and assessments of ecosystem health and resilience. |
---|---|
ISSN: | 2352-3409 2352-3409 |
DOI: | 10.1016/j.dib.2024.111098 |