A Successful Predictive Model of Species Richness Based on Indicator Species
By R. Mac Nally, E. Fleishman. 2004
117 citations recorded by the source corpus.
Subfields: Ecological Modeling, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/ddab04fe45dcab2b7231379b9f68c67a2ad5bc62
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In Ecological Modeling
In Nature and Landscape Conservation
Citations in the corpus
- Bryophytes as potential indicators of forest integrity (2007, methodology): “Examples of such a process of calibration and validation have been described by MacNally and Fleishman (2004) , Lundquist and Beatty (1999), Dufreˆne and Legendre (1997), and Stork et al. (1997).”
- Novel methods improve prediction of species' distributions from occurrence data (2006, unknown): “For example, they have been used to study relationships between environmental parameters and species richness (Mac Nally and Fleishman 2004), characteristics and spatial configuration of habitats that allow persistence of species in landscapes (Araújo and Williams 2000, Ferrier et al. 2002a,…”
- Recommendations for Assessing the Effectiveness of Surrogate Species Approaches (2006, methodology): “Acceptable number or portion of target species represented by surrogate 2 3 29 12 46 Noss et al. 2002; Carroll et al. 2003; Rubino and Kremen 1992; Ryti 1992; Oliver and Beattie 1996; Niemi et al. 1997; Jansson 1998; Swengel and Swengel Hughes et al. 2000; Kerr et al. 2001; Moritz et al. 2001; Sahle”
- Improving indicator species analysis by combining groups of sites (2010, methodology): “Although the methods are very distinct from the ones used here, it is worth noting that diversity indicator species can be determined, for instance by selecting predictors of species richness in regression models (Mac Nally and Fleishman 2004).”
- Biodiversity: Function and Assessment in Agricultural Areas: A Review (2005, background): “Instead of measure all the biodiversity, many scientists hold the view that the dynamics of taxa gives a picture of the dynamics of biodiversity [34, 36, 37, 64, 65, 68, 80, 107, 108].”