2006
DOI: 10.1016/j.biocon.2005.10.003
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Comparing the potential effectiveness of conservation planning approaches in central North Carolina, USA

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Cited by 20 publications
(14 citation statements)
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“…Such data have proved useful in several studies addressing the occurrence of rare species from inconspicuous taxa at the scale of landscapes over large regions (e.g., Lund and Rahbek 2002;Rubino and Hess 2003;Hess et al 2006). However, they also present limitations (Favreau et al 2006).…”
Section: Limitations Of the Datamentioning
confidence: 96%
“…Such data have proved useful in several studies addressing the occurrence of rare species from inconspicuous taxa at the scale of landscapes over large regions (e.g., Lund and Rahbek 2002;Rubino and Hess 2003;Hess et al 2006). However, they also present limitations (Favreau et al 2006).…”
Section: Limitations Of the Datamentioning
confidence: 96%
“…Results from testing hypotheses would allow conservationists to choose surrogates with greater confidence and result in a higher probability of success. Evidence for guidelines such as ''surrogates should not be extremely rare or ubiquitous'' , ''simple conservation strategies are not as effective as surrogates'' (Hess et al 2004), ''specialists are more effective than generalists as surrogates'', ''regions with higher natural biodiversity require the selection of more surrogates than regions with low biodiversity'', or ''surrogates are equally reliable if based on guilds as on genera'' would facilitate the development of successful conservation plans. General patterns observed in large datasets and across multi-scaled case studies would provide a foundation for future hypothesis-driven research.…”
Section: Towards Generalized Rulesmentioning
confidence: 99%
“…This strategy has been proposed before to reduce uncertainties related to individual species distributions and to take advantage of coarse filter data (e.g., vegetation maps) at the same time (Lombard et al 2003;Hess et al 2006;Fjeldsa 2007a). However, this combination can only be achieved if enough coarse and fine filter elements are available to carry out the analysis.…”
Section: Discussionmentioning
confidence: 96%
“…The variables included as predictors were the three PCA axes from climate data, percent of each grid cell covered by forest, percent covered by forests of \20 m canopy height, and percent covered by young and intermediate forest. Residuals of all regressions were checked for spatial autocorrelation using a Moran's I test (Haining 2003). Latitude and longitude were included in the model if spatial autocorrelation in the residuals was significant.…”
Section: Distribution Modelsmentioning
confidence: 99%
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