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Residual spatial autocorrelation in macroecological and biogeographical modeling: a review

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Authors
Gaspard, Guetchine; Kim, Daehyun; Chun, Yongwan
Issue Date
2019-05-14
Publisher
BioMed Central
Citation
Journal of Ecology and Environment. 43(1):19
Keywords
Spatial autocorrelationResidual spatial autocorrelationNon-stationarityMissing variablesSampling designScaleSpecies distribution models
Abstract
Macroecologists and biogeographers continue to predict the distribution of species across space based on the relationship between biotic processes and environmental variables. This approach uses data related to, for example, species abundance or presence/absence, climate, geomorphology, and soils. Researchers have acknowledged in their statistical analyses the importance of accounting for the effects of spatial autocorrelation (SAC), which indicates a degree of dependence between pairs of nearby observations. It has been agreed that residual spatial autocorrelation (rSAC) can have a substantial impact on modeling processes and inferences. However, more attention should be paid to the sources of rSAC and the degree to which rSAC becomes problematic. Here, we review previous studies to identify diverse factors that potentially induce the presence of rSAC in macroecological and biogeographical models. Furthermore, an emphasis is put on the quantification of rSAC by seeking to unveil the magnitude to which the presence of SAC in model residuals becomes detrimental to the modeling process. It turned out that five categories of factors can drive the presence of SAC in model residuals: ecological data and processes, scale and distance, missing variables, sampling design, and assumptions and methodological approaches. Additionally, we noted that more explicit and elaborated discussion of rSAC should be presented in species distribution modeling. Future investigations involving the quantification of rSAC are recommended in order to understand when rSAC can have an adverse effect on the modeling process.
ISSN
2288-1220
Language
English
URI
http://hdl.handle.net/10371/153938
DOI
https://doi.org/10.1186/s41610-019-0118-3
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College of Social Sciences (사회과학대학)Dept. of Geography (지리학과)Journal Papers (저널논문_지리학과)
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