Disentangling drivers of spatial autocorrelation in species distribution models
نویسندگان
چکیده
منابع مشابه
Spatial Autocorrelation in Species Distribution Models: Simultaneous Incorporation of Multiple Scales of Influence Using a Bayesian Framework
Spatial autocorrelation (SAC), defined as the positive association between sample similarity and spatial proximity, is pervasive in ecological data. Several methods exist for the incorporation of SAC into statistical models, but not until recently have these methods been applied to species distribution data. When incorporated into species distribution models, SAC has been found to significantly...
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Recognition and analysis of spatial autocorrelation has defined a new paradigm in ecology. Attention to spatial pattern can lead to insights that would have been otherwise overlooked, while ignoring space may lead to false conclusions about ecological relationships. We used Gaussian spatial autoregressive models, fit with widely available software, to examine breeding habitat relationships for ...
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One of the important goals of natural resource management is to conserve plant diversity in the ecosystem so that sites are more productive and more ecologically stable at the various situations. Different diversity indices have been presented to study the species status of natural ecosystems. One of these indicators is the use of empirical distribution models that each of these models ind...
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Glossary AutoA prefix literally meaning self; spatial autocorrelation means self-correlation, or values within a given variable are correlated, resulting in the variable being correlated with itself. Correlation A description of the nature and degree of a relationship between a pair of quantitative variables. Geary Ratio An index of spatial autocorrelation, involving the computation of squared ...
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ژورنال
عنوان ژورنال: Ecography
سال: 2020
ISSN: 0906-7590,1600-0587
DOI: 10.1111/ecog.05134