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Assessment studies of substrate and vegetation on five past-producing mine-sites in B.C. Binns, John Brailsford

Abstract

Mine reclamation is a long-term process but few long-term (> 15 years) assessment studies are carried out. Considerable effort has gone into test-plot experiments to design revegetation programs prior to termination of mine production but little is known from the results of this work of the long-term effect of competitive interactions between seeded species themselves and between seeded and immigrating native species during the progression to a natural vegetation for that site. The present study revisited and repeated benchmark scientific studies carried out at five mine-sites during the period 1973-1978. The mine-sites were Bull River mine, Coal Creek mine, Cumberland No. 4 mine, Pinchi Lake mine and Texada Iron mines. They were in different biogeoclimatic locations and at each mine, sample sites were located on different waste materials. On-site studies carried out during the 1993 field season included substrate observation and sampling, and visual observation of plant species and percent cover. Substrate samples were later analysed in the laboratory for soil nutrients. The graphical presentation of data honours the original data and is an effective way of assessing the development of substrate health and plant succession. Results show that if sufficient attention is paid to improving land-form then over a long period natural regenerative processes can accomplish remarkable results. Moisture deficiency will restrict growth to deep rooting, drought tolerant species and result in slow encroachment. This may require intensive management if erosion is likely. This type of study performed by staff with interdisciplinary training or experience can be used to make economical long-term assessments of site rehabilitation. They would not in any way replace the detailed quantitative monitoring conducted at critical phases early in the decommissioning process. However, as a complement, such studies could provide data for predicting long-term development on newer sites. In addition, they are an ecologically acceptable alternative to assessments of "productivity" on sites where rehabilitation is slow.

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