Can a Soil Index Reveal Ecosystem Recovery? The Biodiversity Soil Resilience Index: A new index to assess resilience in environmentally stressed ecosystems

Ecological resilience remains a central yet challenging concept to operationalise. In this study, we present the Biological Soil Resilience Index (BSR-Index), a composite, field-deployable metric that integrates three complementary bioindicators: soil microarthropods, entomopathogenic nematodes and fungi (EPNs, EPF), and earthworms. Raw values are normalised to fixed theoretical maxima and combined using a weighted mean (40% microarthropods, 30% EPN/EPF, 30% earthworms), producing a unitless score on a 0–100 scale that is classified into four resilience levels. The index was applied across forest, agricultural and agroforestry systems arranged along a stress gradient. Results show that the BSR-Index effectively discriminates between soils of high and low biological integrity, capturing both structural composition and functional depth of soil communities. By integrating multiple biological compartments into a single metric, the BSR-Index advances beyond traditional single-taxon approaches, offering a robust and reproducible framework for resilience assessment. Standardised scoring facilitates cross-ecosystem comparisons and provides a practical decision-support tool for land management, conservation and environmental policy. The BSR-Index highlights the pivotal role of soil biodiversity in maintaining ecosystem services and offers a scalable framework for monitoring, restoration prioritisation and adaptive planning in the context of ecological resilience.

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Publication Details

Journal
International Journal of Zoology and Animal Biology
Published
2025-10-13
DOI
https://doi.org/10.23880/izab-16000663
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
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article

Can a Soil Index Reveal Ecosystem Recovery? The Biodiversity Soil Resilience Index: A new index to assess resilience in environmentally stressed ecosystems

Salustiano Mato, Eustachio Tarasco, Josefina Garrido, Vito Santarcangelo et al.
International Journal of Zoology and Animal Biology
Sustainable Agricultural Systems Analysis
article

Can a Soil Index Reveal Ecosystem Recovery? The Biodiversity Soil Resilience Index: A new index to assess resilience in environmentally stressed ecosystems

Salustiano Mato, Eustachio Tarasco, Josefina Garrido, Vito Santarcangelo, C. Tkaczuk, Giuseppe Bari, Altieri GM, A Moino
article en

Abstract

Ecological resilience remains a central yet challenging concept to operationalise. In this study, we present the Biological Soil Resilience Index (BSR-Index), a composite, field-deployable metric that integrates three complementary bioindicators: soil microarthropods, entomopathogenic nematodes and fungi (EPNs, EPF), and earthworms. Raw values are normalised to fixed theoretical maxima and combined using a weighted mean (40% microarthropods, 30% EPN/EPF, 30% earthworms), producing a unitless score on a 0–100 scale that is classified into four resilience levels. The index was applied across forest, agricultural and agroforestry systems arranged along a stress gradient. Results show that the BSR-Index effectively discriminates between soils of high and low biological integrity, capturing both structural composition and functional depth of soil communities. By integrating multiple biological compartments into a single metric, the BSR-Index advances beyond traditional single-taxon approaches, offering a robust and reproducible framework for resilience assessment. Standardised scoring facilitates cross-ecosystem comparisons and provides a practical decision-support tool for land management, conservation and environmental policy. The BSR-Index highlights the pivotal role of soil biodiversity in maintaining ecosystem services and offers a scalable framework for monitoring, restoration prioritisation and adaptive planning in the context of ecological resilience.

International Journal of Zoology and Animal BiologyVol. 2025(8)
Universidade Federal de Lavras (BR), University of Siedlce (PL), University of Bari Aldo Moro (IT), Universidade de Vigo (ES)
European Commission
Openalex Percentile: Top 76%
Sustainable Agricultural Systems Analysis
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