Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot

@inproceedings{Engemann2015LimitedSH,
  title={Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot},
  author={Kristine Engemann and Brian J. Enquist and Brody Sandel and Brad Boyle and Peter M\oller J\orgensen and Naia Morueta-Holme and Robert K. Peet and Cyrille Violle and Jens-Christian Svenning},
  booktitle={Ecology and evolution},
  year={2015}
}
Macro-scale species richness studies often use museum specimens as their main source of information. However, such datasets are often strongly biased due to variation in sampling effort in space and time. These biases may strongly affect diversity estimates and may, thereby, obstruct solid inference on the underlying diversity drivers, as well as mislead conservation prioritization. In recent years, this has resulted in an increased focus on developing methods to correct for sampling bias. In… CONTINUE READING
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Distribution patterns of Ecuadorean plant species

H. Balslev
Taxon 37:567–577. • 1988
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