2015
DOI: 10.1016/j.ecolmodel.2015.01.019
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Distribution models for mountain plant species: The value of elevation

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Cited by 91 publications
(55 citation statements)
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References 54 publications
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“…Auto features were used and other values were retained at default settings provided by Warren et al (2008). Shifts between climatic niches in native and invasive ranges on a global scale were also examined based on the niche overlap (Schoener's D (D)) and a measure derived from the Hellinger distance (I); this was evaluated using ENMTools 1.4.4 (Warren et al, 2008(Warren et al, , 2010Oke and Thompson, 2015). Furthermore, the niche overlaps between all models and native models or invasive models were quantified via D and I.…”
Section: Climatic Niche Shift Analysismentioning
confidence: 99%
“…Auto features were used and other values were retained at default settings provided by Warren et al (2008). Shifts between climatic niches in native and invasive ranges on a global scale were also examined based on the niche overlap (Schoener's D (D)) and a measure derived from the Hellinger distance (I); this was evaluated using ENMTools 1.4.4 (Warren et al, 2008(Warren et al, , 2010Oke and Thompson, 2015). Furthermore, the niche overlaps between all models and native models or invasive models were quantified via D and I.…”
Section: Climatic Niche Shift Analysismentioning
confidence: 99%
“…There is a need to monitor the patterns of responses of habitat suitability to environmental variation for these six PSESP. However, it is also important for protection efforts to consider non-climatic factors, such as soil, vegetation types, slope, aspect and elevation etc., so that protection areas can be chosen appropriately (Parmesan et al 2005, Schwartz et al 2006, Austin and Van Niel 2011, Oke and Thompson 2015. Altitude and soil variables, including bulk density, cation exchange capacity and fraction of sand as a component of soil texture, have a large contribution to distributions of PSESP (Table 2).…”
Section: Discussionmentioning
confidence: 99%
“…The variable jackknife was used to evaluate the percentage contribution (PC) of environmental variables to distribution modelling for each species (Merow et al 2013). The threshold PC of habitat suitability was set at 15%; environmental variables exceeding this level of PC were considered important for each species (Oke and Thompson 2015).…”
Section: Modelling the Distributions Of Psespmentioning
confidence: 99%
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“…Elevation is suggested to be the main driver of species persistence in mountains (Randin et al 2009). It is therefore recommended to be included together with climatic variables as predictors in SDM for mountain-plant species (Oke and Thompson 2015). Elevation is associated with environmental changes in atmospheric pressure, temperature, solar radiation and UV-B radiation, which might influence plant performance (Körner 2007).…”
Section: Discussionmentioning
confidence: 99%