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Data from: Small and ugly? Phylogenetic analyses of the “selfing syndrome” reveal complex evolutionary fates of monomorphic primrose flowers
- 负责人：
- DOI：
- doi:10.5061/dryad.vq2m6
- 摘要：
- indeed decrease in a deterministic fashion after losses of self-incompatibility, as traditionally expected, using a phylogeny of 124 primrose species containing ni
in Primula farinosa L.
- 负责人：
- DOI：
- doi:10.5061/dryad.1fp80
- 摘要：
- e, we use the cold-adapted plant Primula farinosa to test two demographic models under each of the two alternative hypotheses and a fifth, null model. We fir
bird's-eye primrose (Primula farinosa L.)
- 负责人：
- DOI：
- doi:10.5061/dryad.62np6jd
- 摘要：
- with publicly available environmental data to identify cryptic diversity in the threatened bird’s eye primrose (Primula farinosa). We aim to char
Data from: Forecasting range shifts of a cold-adapted species under climate change: are genomic and ecological diversity within species crucial
- 负责人：
- DOI：
- doi:10.5061/dryad.tq221
- 摘要：
- the potential relationship between intraspecific genetic and ecological diversity and future resilience, using the cold-adapted plant Primula farinosa. We employ
Data from: Grazers affect selection on inflorescence height both directly and indirectly and effects change over time
- 负责人：
- 关键词：
- Primula farinosa
- DOI：
- doi:10.5061/dryad.nm08t34
- 摘要：
- y of the dimorphic herb Primula farinosa not only directly through differential grazing damage, but also indirectly by affecting vegetation height and ther
Data from: Disentangling the processes driving plant assemblages in mountain grasslands across spatial scales and environmental gradients
- 负责人：
- DOI：
- doi:10.5061/dryad.2dq836f
- 摘要：
- Habitat filtering and limiting similarity are well?documented ecological assembly processes that hierarchically filter species across spatial scales
Data from: Soil fungal communities of grasslands are environmentally structured at a regional scale in the Alps
- 负责人：
- DOI：
- doi:10.5061/dryad.88fm3
- 摘要：
- Studying patterns of species distributions along elevation gradients is frequently used to identify the primary factors that determine
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