Integrating the statistical analysis of spatial data in ecology

By Andrew M. Liebhold, J. Gurevitch. 2002

188 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f5fbac3ccb75e0c4470679bfa4ade699e3f5c78a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Carsten F. Dormann
2. Walter Jetz
3. Werner Kissling
4. Miguel B. Araújo
5. Wilfried Thuiller
6. Antoine Guisan
7. I. Kühn
8. Jorge M. Lobo

In Global and Planetary Change

1. Carsten F. Dormann
2. Mathieu Denoël
3. G. Carl
4. Werner Kissling
5. T. Wiegand
6. Miguel B. Araújo
7. I. Kühn
8. Walter Jetz

In Nature and Landscape Conservation

1. Carsten F. Dormann
2. Antoine Guisan
3. Werner Kissling
4. Miguel B. Araújo
5. Wilfried Thuiller
6. I. Kühn
7. Walter Jetz
8. Jorge M. Lobo

Citations in the corpus

• Methods to account for spatial autocorrelation in the analysis of species distributional data : a review (2007, methodology): “These include Dutilleul’s modified t-test (Dutilleul 1993) or the CRH-correction for correlations (Clifford et al. 1989), randomisation tests such as partial Mantel tests (Legendre and Legendre 1998), or strategies employed by Lennon (2000), Liebhold and Gurevitch (2002) and Segurado et al. (2006)”
• The role of the spatial dimension within the framework of sustainable landscapes and natural capital (2006, background): “The terms ‘autocorrelated’, ‘structured’ and ‘spatial dependence’ indicate the tendency of nearby samples to have attribute values more similar than those farther apart (Liebhold and Gurevitch, 2002; Perry et al., 2002).”
• Multi-scale effect of landscape processes and habitat quality on newt abundance: Implications for conservation (2006, background): “As stated by Liebhold and Gurevitch (2002), modern ecology tends to include spatial autocorrelation into models instead of ignoring or avoiding it.”
• Rings, circles, and null-models for point pattern analysis in ecology (2004, background): “Over the last decade, there has been an increasing interest in the study of spatial patterns in ecology (Turner 1989, Levin 1992, Grimm et al. 1996, Gustafson 1998, Dale 1999, Liebhold and Gurevitch 2002).”
• Beyond description: the active and effective way to infer processes from spatial patterns. (2009, background): “A major objective of ecological research has been quantifying and determining the underlying processes responsible for spatial patterns of ecological phenomena (Tilman and Kareiva 1997, Liebhold and Gurevitch 2002, Tuda 2007).”