Journal article
Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets
Journal of Environmental Management, Vol.310, Article 114748
2022
Abstract
In post-mining rehabilitation, successful mine closure planning requires specific, measurable, achievable, relevant and time-bound (SMART) completion criteria, such as returning ecological communities to match a target level of similarity to reference sites. Soil microbiota are fundamentally linked to the restoration of degraded ecosystems, helping to underpin ecological functions and plant communities. High-throughput sequencing of soil eDNA to characterise these communities offers promise to help monitor and predict ecological progress towards reference states. Here we demonstrate a novel methodology for monitoring and evaluating ecological restoration using three long-term (>25 year) case study post-mining rehabilitation soil eDNA-based bacterial community datasets. Specifically, we developed rehabilitation trajectory assessments based on similarity to reference data from restoration chronosequence datasets. Recognising that numerous alternative options for microbiota data processing have potential to influence these assessments, we comprehensively examined the influence of standard versus compositional data analyses, different ecological distance measures, sequence grouping approaches, eliminating rare taxa, and the potential for excessive spatial autocorrelation to impact on results. Our approach reduces the complexity of information that often overwhelms ecologically-relevant patterns in microbiota studies, and enables prediction of recovery time, with explicit inclusion of uncertainty in assessments. We offer a step change in the development of quantitative microbiota-based SMART metrics for measuring rehabilitation success. Our approach may also have wider applications where restorative processes facilitate the shift of microbiota towards reference states.
Details
- Title
- Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets
- Authors/Creators
- C. Liddicoat (Author/Creator) - Flinders UniversityS.L. Krauss (Author/Creator) - Department of Biodiversity, Conservation and AttractionsA. Bissett (Author/Creator) - CSIRO Oceans and AtmosphereR.J. Borrett (Author/Creator) - Murdoch UniversityL.C. Ducki (Author/Creator) - Flinders UniversityS.D. Peddle (Author/Creator) - Flinders UniversityP. Bullock (Author/Creator) - South32 Worsley Alumina, Perth, Australia.M.P. Dobrowolski (Author/Creator) - Murdoch UniversityA. Grigg (Author/Creator) - Alcoa (Australia)M. Tibbett (Author/Creator) - The University of Western AustraliaM.F. Breed (Author/Creator) - Flinders University
- Publication Details
- Journal of Environmental Management, Vol.310, Article 114748
- Publisher
- Elsevier
- Identifiers
- 991005540288407891
- Copyright
- © 2022 Elsevier Ltd
- Murdoch Affiliation
- College of Science, Health, Engineering and Education
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
41 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.45 Soil Science
- 3.45.112 Soil Carbon Dynamics
- Web Of Science research areas
- Environmental Sciences
- ESI research areas
- Environment/Ecology