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Plant and Soil
Article . 1982 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://dx.doi.org/10.1007/bf0...
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Colonisation of modified metalliferous environments in Zaïre by the copper flowerHaumaniastrum katangense

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 1982 English Publisher:Springer Science and Business Media LLCJournal:Plant and Soil, volume 64, pages 289-293 (issn: 0032-079X, eissn: 1573-5036, Copyright policy )
Authors: F. Malaisse; R. R. Brooks;

doi: 10.1007/bf02184264

Colonisation of modified metalliferous environments in Zaïre by the copper flowerHaumaniastrum katangense

Abstract

The distribution and dynamics ofHaumaniastrum katangense (S. Moore) duvign. et Plancke (‘copper flower’) in southern Shaba Province, Zaire have been studied. In the course of 20 years, this species has spread well beyond its original distribution. It is a successful coloniser of manmade environments containing mineralized substrates: i.e. disturbed or non-disturbed copper/cobalt deposits; copper/cobalt mining sites; sites of precolonial smelters; verges of dirt roads dressed with mine waste; along railways carrying ore wagons.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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