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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Perspectives in Plan...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Perspectives in Plant Ecology Evolution and Systematics
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Resistance of Drakensberg grasslands to compositional change depends on the influence of fire-return interval and grassland structure on richness and spatial turnover

Authors: Paul J. Gordijn; Terry M. Everson; Timothy G. O’Connor;

Resistance of Drakensberg grasslands to compositional change depends on the influence of fire-return interval and grassland structure on richness and spatial turnover

Abstract

Abstract Frequent fire is necessary for maintaining sub-tropical and tropical grassland ecosystems, without which they may transform to forest. In the biodiversity-rich Drakensberg mountains of southern Africa, a challenge for conservation is to emulate the natural fire regime driven mainly by lightning ignition which existed before human influence commenced 25,000 BP. Here, a naturally variable fire regime was replaced with a rigid, frequent fire regime about a century ago in order to maintain a vigorous grass sward for sustained water delivery. However, its impact on plant diversity is not known. We tested impacts of frequent and infrequent fire regimes established by 1957 on grassland composition and diversity at the long-term Cathedral Peak research catchments. Historic sampling of grass composition in 1980 and 1986 was repeated in 2014, at which time forbs were sampled in order to examine a potential influence of fire on diversity. Grass composition was remarkably resistant to different fire regimes over the study period, with changes in the relative abundance of individual species limited to ≤6%. Only two decades after implementing return intervals of one to eight years was a proportion of composition variance explained by the fire regime. Forbs contributed 78% of total species richness and were influenced by the effects of the fire regime on grassland structure (e.g. making space available for recruitment). Forb richness corroborated with the Intermediate Disturbance Hypothesis and was greater in areas with intermediate fire regimes. However, forb turnover was explained in part by both frequent and infrequent fire regimes. Therefore, although richness may be greater under intermediate fire regimes, to maintain unique forb assemblages or turnover, a variable fire regime, believed to reflect the historic lightning-driven fire regime, is demonstrated to be important for maintaining grassland diversity.

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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!
22
Top 10%
Average
Top 10%
Related to Research communities
Italian National Biodiversity Future Center
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