Data

Code and data supporting: "Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets"

Flinders University
Andrew Bissett (Aggregated by) Andrew Grigg (Aggregated by) Craig Liddicoat (Aggregated by) Luisa C. Ducki (Aggregated by) Mark P. Dobrowolski (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25451/flinders.16920985.v1&rft.title=Code and data supporting: Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets&rft.identifier=10.25451/flinders.16920985.v1&rft.publisher=Flinders University&rft.description=R code and supporting data are provided here for the article: Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets (see article link below).Rehabilitation trajectory assessments have been developed for three case study minesites: i) Alcoa - Huntly (sampled in 2016; 2-29 yr old rehab sites)ii) Iluka - Eneabba (sampled in 2019; 7-38 yr old rehab sites)iii) South32 - Worsley (sampled in 2019; 2-28 yr old rehab sites).Please refer to the 'File descriptions' document for summary information on each file.R code is also available at: https://github.com/liddic/resto_traj&rft.creator=Andrew Bissett&rft.creator=Andrew Grigg&rft.creator=Craig Liddicoat&rft.creator=Luisa C. Ducki&rft.creator=Mark P. Dobrowolski&rft.creator=Mark Tibbett&rft.creator=Martin Breed&rft.creator=Paul Bullock&rft.creator=Ryan J. Borrett&rft.creator=Shawn Peddle&rft.creator=Siegfried L. Krauss&rft.date=2022&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Microbial ecology&rft_subject=Environmental rehabilitation and restoration&rft_subject=eDNA&rft_subject=mine closure assessment&rft_subject=restoration genomics&rft_subject=rehabilitation trajectory&rft_subject=soil microbiota&rft_subject=spatial autocorrelation&rft_subject=beta diversity&rft_subject=ecological distance&rft_subject=Microbial Ecology&rft_subject=Environmental Rehabilitation (excl. Bioremediation)&rft.type=dataset&rft.language=English Access the data
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Full description

R code and supporting data are provided here for the article: "Next generation restoration metrics: Using soil eDNA bacterial community data to measure trajectories towards rehabilitation targets" (see article link below).

Rehabilitation trajectory assessments have been developed for three case study minesites:
i) Alcoa - Huntly (sampled in 2016; 2-29 yr old rehab sites)
ii) Iluka - Eneabba (sampled in 2019; 7-38 yr old rehab sites)
iii) South32 - Worsley (sampled in 2019; 2-28 yr old rehab sites).

Please refer to the 'File descriptions' document for summary information on each file.

R code is also available at: https://github.com/liddic/resto_traj

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Subjects
Environmental Rehabilitation (excl. Bioremediation) | Environmental rehabilitation and restoration | Microbial Ecology | Microbial ecology | beta diversity | eDNA | ecological distance | mine closure assessment | rehabilitation trajectory | restoration genomics | soil microbiota | spatial autocorrelation |

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