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Data from: Fine-scale genetic structure in a wild bird population: the role of limited dispersal and environmentally-based selection as causal
- 负责人：
- DOI：
- doi:10.5061/dryad.4f46b
- 摘要：
- we found multiple axes of genetic structure. We built distance-based Moran's eigenvector maps to identify axes of pure spatial variation, which we used for spatial
Data from: Spatial modeling improves understanding patterns of invasive species defoliation by a biocontrol herbivore
- 负责人：
- DOI：
- doi:10.5061/dryad.2ts54jj
- 摘要：
- plied to understanding variation in biocontrol impact. In this study, we employ multi-scale analysis (Moran’s Eigenvector Maps) to better understand the variation
Data from: The influence of spatially structured soil properties on tree community assemblages at a landscape scale in the tropical forests
- 负责人：
- DOI：
- doi:10.5061/dryad.sp5dp
- 摘要：
- multiple regression and Moran's eigenvectors maps (MEM), have been proved successful in disentangling the influence of pure spatial processes rela
Data from: Metacommunity structure of stream insects across three hierarchical spatial scales
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.stqjq2c0g
- 摘要：
- nt for community composition at the within-stream scale. In contrast, spatial factors (i.e. eigenvectors from Moran’s eigenvector maps) relative to environmental factors wer
Data from: Geographic isolation and larval dispersal shape seascape genetic patterns differently according to spatial scale
- 负责人：
- DOI：
- doi:10.5061/dryad.31tk592
- 摘要：
- and temperature), geographic isolation, and larval dispersal on Single Nucleotide Polymorphisms (SNPs) allele frequencies. We used Moran’s Eigenvector Maps (db-MEMs
Data from: Multi-scale drivers of community diversity and composition across tidal heights: an example on temperate seaweed communities
- 负责人：
- DOI：
- doi:10.5061/dryad.3s96n
- 摘要：
- ng randomised community matrices and Moran’s eigenvector maps (MEMs), we compared i) the relative importance of deterministic and stochastic processes, ii
Data from: Testing and interpreting the shared space-environment fraction in variation partitioning analyses of ecological data
- 负责人：
- DOI：
- doi:10.5061/dryad.4qk2k11
- 摘要：
- Variation partitioning analyses combined with spatial predictors (Moran’s eigenvector maps, MEM) are commonly used in ecology to test the fract
Data from: Scale-dependent responses of pollination and seed dispersal mutualisms in a habitat transformation scenario
- 负责人：
- DOI：
- doi:10.5061/dryad.11385
- 摘要：
- and abiotic conditions. Despite this, transformed habitats are becoming more common and constitute a major biodiversity change driver, little is known about the scale
Data from: Canopy height explains species richness in the largest clade of Neotropical lianas
- 负责人：
- DOI：
- doi:10.5061/dryad.11q00n4
- 摘要：
- , respectively. We further performed multiple regression models with Moran’s eigenvector maps to account for spatial autocorrelation. Result
Data from: Grazing exclusion unleashes competitive plant responses in Iberian Atlantic mountain grasslands
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.232ss
- 摘要：
- ies were analysed using Redundancy analysis in conjunction with Moran's Eigenvector Maps, and soil variables were simultaneously included in the analyses
