Contrasting effects of deadwood and gaps on the trophic structure of forest soil microarthropods
Data files
Oct 27, 2025 version files 418.66 KB
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1.data_for_r_script_isotope_Collembola.csv
120.62 KB
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2.data_for_r_script_species_traits.csv
159.22 KB
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3.data_for_r_script_community_Collembola.csv
82.57 KB
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4.data_for_r_script_environmental_factors.csv
9.30 KB
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r_script.R
43.19 KB
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README.md
3.76 KB
Abstract
Understanding the mechanisms driving forest biodiversity is challenging, especially in soil. Trophic niche is the most important perspective to understand how biodiversity changes with disturbances. Deadwood input and gap formation are major disturbances resulting from tree mortality. Both alter the ecological niches of forest organisms, yet their individual and interactive effects on soil animals remain unclear. Trophic diversity, i.e., the area of trophic niches occupied by organisms, links to the resource processing within food webs and, consequently, to ecosystem functions. Changes in the trophic diversity of Collembola communities may result from both changes in species composition and from trophic shifts of individual species. To investigate how the trophic structure of soil fauna responds to forest disturbances, we examined trophic niches of Collembola across three regions in Germany, as influenced by deadwood addition and gap formation using stable isotope analysis (13C, 15N). Changes in the trophic structure of Collembola associated with deadwood addition and gap formation were distinct and independent. The deadwood addition resulted in higher trophic level (Δ15N) and greater trophic diversity of Collembola communities. These shifts were likely driven by increased habitat heterogeneity, resulting in higher trophic differentiation (rather than higher species richness) of Collembola communities. The results highlight the importance of habitat structure in driving soil animal functional diversity. By contrast, gap formation promoted the growth of understory plants, leading to increased use of plant-derived resources (lower Δ13C) by Collembola. Further, gap formation reduced the trophic diversity of euedaphic (soil-dwelling) Collembola, pointing to trophic homogenisation, likely driven by increased use of root-derived resources from understory plants, and this was also accompanied by higher biomass of euedaphic Collembola in forest gaps. Overall, our findings highlight that deadwood addition and gap formation affect the trophic structure of detritivore communities in an independent way, with deadwood enhancing habitat heterogeneity and trophic differentiation, while gap formation results in trophic homogenisation and increased resource supply to euedaphic Collembola. Thereby, deadwood addition and gap formation complement each other in affecting the trophic structure of detritivore soil animals and thereby their functioning.
Dataset DOI: 10.5061/dryad.pvmcvdp0d
General information
Authors:Yan Zhang, André Junggebauer, Melanie M. Pollierer, Stefan Scheu, Zheng Zhou
Contact information:
Date created by: Yan Zhang
Affiliations: Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Goettingen
Date created at: 2025/01/07
Dates of data collection: April-October 2024
Email: yzhangd@uni-goettingen.de
location: Germany
Methodology used
Trophic niches are indicated by 13C and 15N, and trophic diversity is indicated by the area of 13C and 15N, using bulk stable isotopes.
Description of the data and file structure
Files and variables
1.data_for_r_script_isotope_Collembola.csv: stable isotope data of Collembola in each site, each treatment. The data has been cleaned by filtering the N amount < 0.18, since a smaller N amount of organisms caused unstable 15N values due to technical limitations.
2.data_for_r_script_species_traits.csv: The information of Collembola in taxonomic and traits (life forms and reproduction)
3.data_for_r_script_community_Collembola.csv: complements information of the Collembola community collected during identification.
4.data_for_r_script_environmental_factors.csv: the moisture and microbial biomass C were used for piecewise structural equation models.
File: 1.data_for_r_script_isotope_Collembola.csv
Description:
Variables
- test_ID: a number in the isotope measurement
- Sample: sample ID
- Region: Region name (AEW/HEW/SEW)
- Layer: sample layer (litter/0-5 soil)
- Plot: Plot ID (with a total of 29 plots)
- Forest.type: Name of forest type in each plot
- Treatment: Experiment treatment (Control, gap, deadwood, gap+deadwood)
- Species: Species name
- Abundance: number of individuals
- weight: weight of Collembola species (mg)
- N.amount: nitrogen amount (ug)
- C.amount: carbon amount (ug)
- ratioC.N: C/N ratio
- ratioC.N.Cblank.corrected: standard sample correction
- litter_15N: litter 15N
- litter_13C: litter 13C
- D15N: calibrated 15N of Collembola (by litter)
- D13C: calibrated 13C of Collembola (by litter)
File: 2.data_for_r_script_species_traits.csv
Description: Collembola traits, i.e., life forms and reproduction mode for each species
Variables
- verbatimScientificName: ScientificName
- Reproduction: trait (sexual/parthenogenetic)
- life_forms: trait (epedaphic/hemiedaphic/euedaphic)
- scientificName: scientific name
- order: order name
- family: family name
- genus: genus
- species: species name
- canonicalName: canonicalName
File: 4.data_for_r_script_environmental_factors.csv
Description: environmental factors
Variables
- PlotID: plotID
- Region: three regions in total
- Treatment: experimental treatment
- Layer: soil(0-5cm)/litter
- Cmic: microbial biomass C (mg kg -1 soil)
- water_content: soil moisture (%)
File: 3.data_for_r_script_community_Collembola.csv
Description: community abundance and richness of Collembola in FOX
Variables
- Sample: Sample ID
- Region: Region(AEW/HEW/SEW)
- Layer: litter/soil (0-5cm)
- Plot: PlotID (with a total of 29 plots)
- Forest type: The type of Forest
- Treatment: The treatments of the experiment (Control, Gap, Deadwood, and Gap+Deadwood)
- Species: full species name
- Abundance: Abundance (number of individuals)
- species: species name
Code/software
File: r_script.R
Description: The R script for the analysis of the current study
Software: R version 4.4.0
Access information
This dataset was not derived from other sources.
