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Data

Meta-analysis – Global Dataset of Soil Condition and Invertebrate Assemblages After Ecological Restoration in Agricultural Landscapes 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2020-05-22
Dataset Last Modified: 2026-08-18
Metadata viewed 213 times
Dataset accessed 33 times
Metadata Created: 2020-02-05
Metadata Last Modified: 2026-08-19
How to cite this collection:
Parkhurst, T. (2020). Meta-analysis – Global Dataset of Soil Condition and Invertebrate Assemblages After Ecological Restoration in Agricultural Landscapes. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/5ec780530b43f 
Data can be accessed from the following links:
HTTPDictionaryParkhurst_etal_2020_C2yqIeI.csv
HTTPParkhurst_etal_2020_metaanalysis_data.zip
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
  • 1. Restoration of degraded landscapes has become increasingly important for conservation of species and their habitats owing to habitat destruction and rapid environmental change. An increasing focus for restoration activity are old-fields as agricultural land abandonment has expanded in the developed world. Studies examining outcomes of ecological restoration predominantly focus on vegetation structure and plant diversity, and sometimes vertebrate fauna. Fewer studies have systematically investigated effects of restoration efforts on soil chemical and biophysical condition or ground-dwelling invertebrates and there is limited synthesis of these data.
  • 2. This dataset comprised data for a global meta-analysis of published studies to assess the effects on soil properties and invertebrates of restoring land that was previously used for agriculture. Studies were included if the site had been either cropped or grazed, restoration was either active (planting) or passive (abandonment, fencing) and if adequate data on soil chemical or physical properties or invertebrate assemblages were reported for restored, control (cropped/grazed) or reference sites.
  • 3. The dataset includes 42 studies, published between 1994 and 2019 that met the inclusion criteria, covering 16 countries across all continents. More studies assessed passive restoration approaches than active planting, and native species were more commonly planted than exotic species.
 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 
Purpose
To assess the effects on soil properties and invertebrates of restoring land that was previously used for agriculture, based on review of published studies. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Dataset based on global literature. 
Temporal Coverage
From 2019-01-30 to 2019-01-31 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Forest biodiversity
Invertebrate biology
Pedology and pedometrics
Data Stream
Synthesis Product
GCMD Sciences
ANIMALS/INVERTEBRATES
PHOSPHORUS
RECLAMATION/REVEGETATION/RESTORATION
SOIL BULK DENSITY
SOILS
SOILS - NITROGEN
Horizontal Resolution
> 1000 km or > 10 degrees
Parameters
animal presence
Project
Others
Temporal Resolution
Seasonal
Topic
biota
environment
User Defined
active restoration
ground-dwelling invertebrates
land abandonment
old-field restoration
passive restoration
soil condition
Author
Parkhurst, Tina
Contact Point
Parkhurst, Tina
Publisher
Terrestrial Ecosystem Research Network
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/ 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting