Spatial Analysis: A Guide for Ecologists 1st edition

By Marie-Josée Fortin, M. Dale. 2005

830 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a74a434fea837c54f429236ca9f333388bb76132

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Citations in the corpus

Prey landscapes help identify potential foraging habitats for leatherback turtles in the NE Atlantic (2007, methodology): “This interpolation procedure weighted each identified CPR sample based on its distance from the search window origin; samples nearer the origin had greater influence on the interpolation result than those further from the origin (Fortin & Dale 2005).”
Landscape genetics: where are we now? (2010, methodology): “…comparisons (in the case of genetic and landscape distances) or in situations where there is substantial autocorrelation (i.e. spatial non-independence of regression residuals of genetic and landscape data), unless significance testing relies on data permutation approaches (Fortin & Dale 2005).”
Tree microhabitats as indicators of bird and bat communities in Mediterranean forests (2013, background): “, 2004) ather than on common species; and (3) few studies have been onducted at the community level (Fritz and Heilmann-Clausen, 010; Kroll et al., 2012; Parsons et al., 2003). Indeed, only Winter nd Möller (2008) have tested the relationship between a comlete set of tree microhabitat inventory vari”
Beyond description: the active and effective way to infer processes from spatial patterns. (2009, methodology): “To enhance many analyses, using marked analyses (Fortin and Dale 2005) (i.e., analysis of the spatial pattern of a variable of interest, not just its mere location in space) to assess continuous processes (e.g., competition) even when there are only discrete entities that experience it (i.e.,…”
Pollinator dispersal in an agricultural matrix: opposing responses of wild bees and hoverflies to landscape structure and distance from main habitat (2009, methodology): “Model residuals for bee species richness, bee abundance, hoverfly species richness, and hoverfly abundance were assessed for spatial autocorrelation using Moran’s I correlograms with a maximum distance lag of 1,000 m (Fortin and Dale 2005; Wagner and Fortin 2005).”
Spatial distribution patterns of the gorgonians Eunicella singularis, Paramuricea clavata, and Leptogorgia sarmentosa (Cape of Creus, Northwestern Mediterranean Sea) (2011, background): “…of species is a central question in ecology (Ives and Klopfer 1997; Currie 2007), and an understanding of the distribution patterns of species in space and time is of significant importance in the establishment of management and conservation plans (Ives and Klopfer 1997; Fortin and Dale 2005).”
Thirty years of spatial econometrics (2010, background): “Several generalist textbooks are available, such as Haining (2003); Banerjee et al. (2004); Waller and Gotway (2004); Fortin and Dale (2005); Schabenberger and Gotway (2005); Pfeiffer et al. (2008); Lawson (2009), as well as a number of specialist texts dealing with point pattern analysis and…”
Which factors influence the occurrence and density of tree microhabitats in Mediterranean oak forests (2013, unknown): “Thus, all models incorporated the equation x + y + x + y, where x and y were the coordinates of microhabitat-bearing trees or the coordinates of the centers of the plots for plot-scale data (following the approach of Devictor et al., 2008; Doxa et al., 2010; Fortin and Dale, 2005).”
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review (2007, background): “Variograms are more commonly employed in descriptive geostatistics, while correlograms are the prevalent graphical presentation in ecology (Fortin and Dale 2005).”