2002
DOI: 10.1006/jema.2002.0546
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Habitat suitability modelling for calcareous grassland restoration on the South Downs, United Kingdom

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Cited by 34 publications
(40 citation statements)
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“…Approximately 25% of total floristic variability is explained by only three variables that one can easily obtain from field surveys in large areas such as the southern French Prealps. Other potential explanatory factors of the remaining unexplained variation include the influence of landscape structure on dispersal processes Pärtel et al, 1999;Burnside et al, 2002), and the history of the management practices (Chaneton and Facelli, 1991;Schläpfer et al, 1998;Dutoit et al, 1999Dutoit et al, , 2003.…”
Section: Resultsmentioning
confidence: 98%
“…Approximately 25% of total floristic variability is explained by only three variables that one can easily obtain from field surveys in large areas such as the southern French Prealps. Other potential explanatory factors of the remaining unexplained variation include the influence of landscape structure on dispersal processes Pärtel et al, 1999;Burnside et al, 2002), and the history of the management practices (Chaneton and Facelli, 1991;Schläpfer et al, 1998;Dutoit et al, 1999Dutoit et al, , 2003.…”
Section: Resultsmentioning
confidence: 98%
“…Burnside, Smith, and Waite (2002) suggested a connectivity threshold of 200 m in their work on assessing habitat suitability for calcareous grassland restoration as a maximum distance which allows colonisation to happen. As a result, a buffer zone of 200 m around each of the selected sites was applied for the calculation of the neighbourhood statistics.…”
Section: Data Usedmentioning
confidence: 99%
“…Land evaluation to evaluate suitability has been undertaken for urban land uses (Jiang and Eastman 2000;Joerin et al 2001), wildlife habitat (Boroski et al 1996;Mackinson 2000;Debeljak et al 2001;Bradshaw et al 2002), botanical habitat (Riitters et al 1997;Burnside et al 2002), water use/quality (Silvert 2000), and forestry land uses (Van Ranst et al 1996;Lexer et al 2000;Ruger et al 2005). The operational use of fuzzy logic methods for land evaluation in these areas remains low, a puzzling observation given its successful application in agriculture land assessment.…”
Section: Introductionmentioning
confidence: 99%