A framework for delineating biogeographical regions based on species distributions

By H. Kreft, Walter Jetz. 2010

704 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/45ce6f95b315f277005ea653c9925eca9f4e37de

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Beyond trees: Biogeographical regionalization of tropical Africa (2018, background): “The existence of “geographically distinct assemblages of species and communities” (Vilhena & Antonelli, 2015), known as biogeographical regions, or bioregions, is a central concept in historical biogeography (Holt et al., 2013; Kreft & Jetz, 2010).”
What ' s on the horizon for macroecology? (2012, background): “Indeed, many fi nerscaled, hierarchical biogeographic classifi cations are available in the literature for many regions and taxonomic groups (de Klerk et al. 2002, Kreft and Jetz 2010, Rueda et al. 2010) that may provide useful geographic templates to investigate regional eff ects.”
Biogeographical transition zones: a search for conceptual synthesis (2014, methodology): “Classification and ordination analyses are the most typically used multivariate techniques, which allow us to recognize and differentiate groups of cells with similar biotic composition (see, for example, Kreft & Jetz, 2010).”
The spectre of biogeographical regionalization (2018, methodology): “Biogeographical units are recognized based on distinct sets of endemic taxa and communities (Vilhena & Antonelli, 2015), representing the geographical distribution of life on Earth, modelled by past or current physical and biological forces (Kreft & Jetz, 2010).”
Neotropical Plant Evolution: Assembling the Big Picture (2013, background): “Extensive georeferenced specimen datasets can now be subjected to cluster and classification analyses to establish common biogeographic regionalisations for diverse groups at a continental scale (e.g. Kreft & Jetz 2010; Linder et al., 2012).”
The biogeographic history of ruminant faunas determines the phylogenetic structure of their assemblages at different scales (2014, background): “The five biogeographic realms considered were: Nearctic, Neotropic, Palaearctic, Afrotropic and Indomalaysian (Kreft and Jetz 2010; Fig.”
The evolution of African plant diversity (2014, background): “Because it estimates the proportion of shared species between the two entities that are being compared, for the entity with the smaller number of species, it is also not distorted by a large difference in species richness among the entities (Kreft and Jetz, 2010).”
Outstanding plant endemism levels strongly support the recognition of campo rupestre provinces in mountaintops of eastern South America (2019, background): “New analytical frameworks, objective criteria and larger databases of different taxa are now required for a strongly supported bioregionalization (Kreft & Jetz, 2010; Mackey, Berry, & Brown, 2008; Morrone, 2018).”
Global biogeographical regions of freshwater fish species (2019, methodology): “We found that this region expanded beyond the limits of the Sahara up to the Mediterranean Sea, similarly to flightless terrestrial mam‐ mals (Kreft & Jetz, 2010).”
Biogeographical regionalisation of the world: a reappraisal (2015, methodology): “…1866; Kirby 1872; Wallace 1876; Sclater 1894; Bartholomew et al. 1911; deMelloLeitão 1937; Darlington 1957; Pielou 1979, 1992; Müller 1986; Morrone 2002; Procheş andRamdhani 2012), a subregion (Smith 1983) or a kingdom (Udvardy 1975; Morain 1984; Udvardy 1987; Cox 2001; Kreft and Jetz 2010).”
The partitioning of Africa: statistically defined biogeographical regions in sub‐Saharan Africa (2012, methodology): “Contrary to all previous treatments (e.g. Werger, 1978; White, 1983), but consistent with Kreft & Jetz (2010), we recognize a single Southern African Region.”
Separating the two components of abundance‐based dissimilarity: balanced changes in abundance vs. abundance gradients (2013, background): “As already argued in the context of incidencebased dissimilarities, biogeographic regionalizations have to be performed based on substitution patterns only, removing the effect of subset patterns (Kreft & Jetz 2010; Svenning, Fløjgaard & Baselga 2011).”
Using tree species inventories to map biomes and assess their climatic overlaps in lowland tropical South America (2018, neutral): “For 208 clustering, we used the Simpson floristic distance amongst sites, which is the complement of 209 the number of species shared between two sites divided by the maximum number of species 210 that could be shared between the two sites: 1 - speciesshared/total_speciesminimum (Baselga, 211 ヲヰヱヰぶく”