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Data from: Climate vs. topography – spatial patterns of plant species diversity and endemism on a high-elevation island
- 负责人:
- DOI:
- doi:10.5061/dryad.7sk2g
- 摘要:
- inference, spatial autoregressive models, variance partitioning and linear regression kriging as statistical methods. 3. Species richness is best explained by both climatic and topogr
Data from: Colour lightness of dragonfly assemblages across North America and Europe
- 负责人:
- DOI:
- doi:10.5061/dryad.72tp3
- 摘要:
- this prediction. We also accounted for spatial autocorrelation with autoregressive error models. All statistical approaches showed that dragonfly assemblages from
Data from: Consequences of swamp forest fragmentation on assemblages of vascular epiphytes and climbing plants: evaluati
- 负责人:
- DOI:
- doi:10.5061/dryad.p546pb2
- 摘要:
- mple linear regression model (SLR) and two models that consider the spatial autocorrelation of species richness among fragments, generalized least squares (GLS) and si
Data from: Human-induced biotic invasions and changes in plankton interaction networks
- 负责人:
- DOI:
- doi:10.5061/dryad.js023
- 摘要:
- ons of non-native species in the context of other environmental pressures is needed for effective management. 2.We used multivariate autoregressive models with detailed