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Steven I. Higgins

Researcher at University of Bayreuth

Publications -  126
Citations -  15473

Steven I. Higgins is an academic researcher from University of Bayreuth. The author has contributed to research in topics: Vegetation & Biome. The author has an hindex of 55, co-authored 121 publications receiving 13944 citations. Previous affiliations of Steven I. Higgins include University of the Witwatersrand & Helmholtz Centre for Environmental Research - UFZ.

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Recruitment filters in a perennial grassland: the interactive roles of fire, competitors, moisture and seed availability

TL;DR: This study concludes that recruitment is not limited to above average rainfall years but triggered by events that open up the grass canopy and reduce the abundance of competitors, and shows that fire can play an important positive role in individual turnover of semi-arid perennial grass populations.
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Climate change and long-term fire management impacts on Australian savannas

TL;DR: A dynamic vegetation model is used, the adaptive dynamic global vegetation model (aDGVM), to project how climate change and fire management might influence future vegetation in northern Australian savannas and identifies how fire management strategies may influence grazing yield, carbon sequestration and greenhouse gas emissions.
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Understanding global change impacts on South African biomes using Dynamic Vegetation Models

TL;DR: In this article, the authors outline the limitations of existing DVMs and improvements required before reliable projections of global change impacts on South African biomes can be produced, including the plant types and key processes of many South African Biomes.
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Costs of persistence and the spread of competing seeders and sprouters

TL;DR: Existing theories of colonization ‐ persistence trade-offs do not completely describe interactions between persistent and non-persistent strategies, and the investigation of seeder and sprouter interactions suggests that sprouters will be more threatened by periods of rapid climate change because of their limited colonization ability.
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Defining functional biomes and monitoring their change globally

TL;DR: A new biome map and classification scheme that uses information on an index of vegetation productivity, whether the minimum of vegetation activity is in the driest or coldest part of the year, and vegetation height is proposed to provide an alternative classification scheme for comparing the biogeochemical rates of terrestrial ecosystems.