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Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites
INTRODUCTION: There has been limited research conducted on the identifications/methodological approaches of using plant species as indicators of the presence of economically, important mineral resources. OBJECTIVES: This study set out to answer the following questions (1) Do specific plant species a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263987/ https://www.ncbi.nlm.nih.gov/pubmed/35777902 http://dx.doi.org/10.1016/j.jare.2021.10.005 |
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author | Ahmad, Zeeshan Mulk Khan, Shujaul Page, Sue Alamri, Saad Hashem, Mohamed |
author_facet | Ahmad, Zeeshan Mulk Khan, Shujaul Page, Sue Alamri, Saad Hashem, Mohamed |
author_sort | Ahmad, Zeeshan |
collection | PubMed |
description | INTRODUCTION: There has been limited research conducted on the identifications/methodological approaches of using plant species as indicators of the presence of economically, important mineral resources. OBJECTIVES: This study set out to answer the following questions (1) Do specific plant species and species assemblages indicate the presence of mineral deposits? and (2) if yes, then what sort of ecological, experimental, and statistical procedures could be employed to identify such indicators? METHODS: Keeping in mind these questions, the vegetation of subtropical mineral mines sites in northern Pakistan were evaluated using Indicator Species Analysis (ISA), Canonical Correspondence Analysis (CCA) and Structural Equation Modeling (SEM). RESULTS: A total of 105 plant species belonging to 95 genera and 43 families were recorded from the three mining regions. CA and TWCA classified all the stations and plants into three major mining zones, corresponding to the presence of marble, coal, and chromite, based on Jaccard distance and Ward’s linkage methods. This comprehended the following indicator species: Ficus carica, Isodon rugosus and Ajuga parviflora (marble indicators); Olea ferruginea, Gymnosporia royleana and Dicliptera bupleuroides (coal indicators); and Acacia nilotica, Rhazya stricta and Aristida adscensionis (chromite indicators) based on calculated Indicator Values (IV). These indicators were reconfirmed by CCA and SEM analysis. CONCLUSION: It was concluded that ISA is one of the best techniques for the identification/selection of plant indicator species, followed by reconfirmation via CCA and SEM analysis. In addition to establishing a robust approach to identifying plant indicator species, our results could have application in mineral prospecting and detection. |
format | Online Article Text |
id | pubmed-9263987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92639872022-07-09 Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites Ahmad, Zeeshan Mulk Khan, Shujaul Page, Sue Alamri, Saad Hashem, Mohamed J Adv Res Basic and Biological Science INTRODUCTION: There has been limited research conducted on the identifications/methodological approaches of using plant species as indicators of the presence of economically, important mineral resources. OBJECTIVES: This study set out to answer the following questions (1) Do specific plant species and species assemblages indicate the presence of mineral deposits? and (2) if yes, then what sort of ecological, experimental, and statistical procedures could be employed to identify such indicators? METHODS: Keeping in mind these questions, the vegetation of subtropical mineral mines sites in northern Pakistan were evaluated using Indicator Species Analysis (ISA), Canonical Correspondence Analysis (CCA) and Structural Equation Modeling (SEM). RESULTS: A total of 105 plant species belonging to 95 genera and 43 families were recorded from the three mining regions. CA and TWCA classified all the stations and plants into three major mining zones, corresponding to the presence of marble, coal, and chromite, based on Jaccard distance and Ward’s linkage methods. This comprehended the following indicator species: Ficus carica, Isodon rugosus and Ajuga parviflora (marble indicators); Olea ferruginea, Gymnosporia royleana and Dicliptera bupleuroides (coal indicators); and Acacia nilotica, Rhazya stricta and Aristida adscensionis (chromite indicators) based on calculated Indicator Values (IV). These indicators were reconfirmed by CCA and SEM analysis. CONCLUSION: It was concluded that ISA is one of the best techniques for the identification/selection of plant indicator species, followed by reconfirmation via CCA and SEM analysis. In addition to establishing a robust approach to identifying plant indicator species, our results could have application in mineral prospecting and detection. Elsevier 2021-10-18 /pmc/articles/PMC9263987/ /pubmed/35777902 http://dx.doi.org/10.1016/j.jare.2021.10.005 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of Cairo University. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Basic and Biological Science Ahmad, Zeeshan Mulk Khan, Shujaul Page, Sue Alamri, Saad Hashem, Mohamed Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title | Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title_full | Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title_fullStr | Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title_full_unstemmed | Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title_short | Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites |
title_sort | plants predict the mineral mines – a methodological approach to use indicator plant species for the discovery of mining sites |
topic | Basic and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263987/ https://www.ncbi.nlm.nih.gov/pubmed/35777902 http://dx.doi.org/10.1016/j.jare.2021.10.005 |
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