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

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Created 20/10/2024

Updated 21/01/2025

  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.

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Title Meta-analysis – Global Dataset of Soil Condition and Invertebrate Assemblages After Ecological Restoration in Agricultural Landscapes
Language eng
Licence Not Specified
Landing Page https://devweb.dga.links.com.au/data/dataset/8a215212-c294-44a5-b780-a2650032b23d
Contact Point
Environment Protection Authority (EPA) Victoria
tina.parkhurst@murdoch.edu.au
Reference Period 30/01/2019 - 31/01/2019
Geospatial Coverage
Map data © OpenStreetMap contributors
Data Portal Data.gov.au