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An operational definition of the biome for global change research.
Conradi, Timo; Slingsby, Jasper A; Midgley, Guy F; Nottebrock, Henning; Schweiger, Andreas H; Higgins, Steven I.
Afiliação
  • Conradi T; Plant Ecology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany.
  • Slingsby JA; Fynbos Node, South African Environmental Observation Network (SAEON), Centre for Biodiversity Conservation, 7735, Cape Town, South Africa.
  • Midgley GF; Department of Biological Sciences, Centre for Statistics in Ecology, Environment and Conservation (SEEC), University of Cape Town, 7701, Rondebosch, South Africa.
  • Nottebrock H; Global Change Biology Group, Department of Botany and Zoology, Stellenbosch University, 7602, Stellenbosch, South Africa.
  • Schweiger AH; Plant Ecology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany.
  • Higgins SI; Plant Ecology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany.
New Phytol ; 227(5): 1294-1306, 2020 09.
Article em En | MEDLINE | ID: mdl-32255502
ABSTRACT
Biomes are constructs for organising knowledge on the structure and functioning of the world's ecosystems, and serve as useful units for monitoring how the biosphere responds to anthropogenic drivers, including climate change. The current practice of delimiting biomes relies on expert knowledge. Recent studies have questioned the value of such biome maps for comparative ecology and global-change research, partly due to their subjective origin. Here we propose a flexible method for developing biome maps objectively. The method uses range modelling of several thousands of plant species to reveal spatial attractors for different growth-form assemblages that define biomes. The workflow is illustrated using distribution data from 23 500 African plant species. In an example application, we create a biome map for Africa and use the fitted species models to project biome shifts. In a second example, we map gradients of growth-form suitability that can be used to identify sites for comparative ecology. This method provides a flexible framework that (1) allows a range of biome types to be defined according to user needs and (2) enables projections of biome changes that emerge purely from the individualistic responses of plant species to environmental changes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Ecologia País/Região como assunto: Africa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Ecologia País/Região como assunto: Africa Idioma: En Ano de publicação: 2020 Tipo de documento: Article