Ecological niche modeling and principal component analysis of Krameria Loefl. (Krameriaceae)

@article{Giannini2011EcologicalNM,
  title={Ecological niche modeling and principal component analysis of Krameria Loefl. (Krameriaceae)},
  author={Tereza Cristina Giannini and Adriana Takahasi and Maria Cl{\'a}udia Melo Pacheco de Medeiros and Antonio Mauro Saraiva and Isabel Alves-dos-Santos},
  journal={Journal of Arid Environments},
  year={2011},
  volume={75},
  pages={870-872}
}
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References

SHOWING 1-6 OF 6 REFERENCES
Infrageneric phylogeny of Schoenocaulon (Liliales: Melanthiaceae) with clarification of cryptic species based on ITS sequence data and geographical distribution.
TLDR
Analysis of ITS sequence data for all 27 species and infraspecific taxa support recognition of two new species and recircumscription and placement of elements of the polyphyletic S. ghiesbreghtii and S. mortonii complexes.
Species Relationships in Krameria (Krameriaceae) Based on ITS Sequences and Morphology: Implications for Character Utility and Biogeography
TLDR
The phylogeny does not provide an unequivocal resolution as to the hemisphere in which Krameria arose, but it does indicate an initial split leading to the ancestors of the two clades, each of which subsequently produced radiations in North and South America.
Global warming and the disruption of plant-pollinator interactions.
TLDR
This work used a highly resolved empirical network of interactions between 1420 pollinator and 429 plant species to simulate consequences of the phenological shifts that can be expected with a doubling of atmospheric CO(2), causing as much as half of the ancestral activity period of the animals to fall at times when no food plants were available.
Terrestrial Ecoregions of the World: A New Map of Life on Earth
TLDR
This article has developed a detailed map of the terrestrial ecoregions of the world that is better suited to identify areas of outstanding biodiversity and representative communities and addresses the disparity in resolution between maps currently available for global conservation planning and the reality of the Earth’s intricate patterns of life.
The GARP modelling system: problems and solutions to automated spatial prediction
TLDR
The essence of the GMS is an underlying generic spatial modelling method which filters out potential sources of errors and is generally applicable however, as the statistical problems arising in arbitrary spatial data analysis potentially apply to any domain.