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Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites
Journal article   Open access  Peer reviewed

Plants predict the mineral mines – A methodological approach to use indicator plant species for the discovery of mining sites

Zeeshan Ahmad, Shujaul Mulk Khan, Sue Page, Saad Alamri and Mohamed Hashem
Journal of advanced research, Vol.39, pp.119-133
01/07/2022
DOI: https://doi.org/10.1016/j.jare.2021.10.005
PMID: 35777902

Abstract

Basic and Biological Science Ca, Calcium CA, Cluster Analysis Canonical correspondence analysis CCA, Canonical Correspondence Analysis Cd, Cadmium Co, Cobalt Cr, Chromium Cu, Copper EC, electrical conductivity Fe, Iron Indicator species analysis ISA, Indicator Species Analysis K, potassium KPK, Khyber Pakhtunkhwa Mg, Magnesium Microhabitat Mine zones Mines’ indicators Mn, Manganese Na, Sodium Ni, Nickle P, phosphorus SEM, Structural Equation Model Structural equation model TDS, total dissolved solids TWCA, Two-way Cluster Analysis
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https://doi.org/10.1016/j.jare.2021.10.005View
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