The strong influence of collection bias on biodiversity knowledge shortfalls of Brazilian terrestrial biodiversity

By Ubirajara Oliveira, A. Paglia, A. Brescovit, C. Carvalho, D. P. Silva, Daniella T. Rezende, F. Leite, J. Batista, João Paulo Peixoto Pena Barbosa, J. Stehmann and 7 more. 2016

337 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/31af72252393136dcbcf882c03cb816932c6e581

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. A. Castellanos
2. J. W. Huntley
3. A Michelle Lawing
4. G. Voelker

In Nature and Landscape Conservation

1. A. Castellanos
2. J. W. Huntley
3. A Michelle Lawing
4. G. Voelker

Citations in the corpus

• Environmental filtering improves ecological niche models across multiple scales (2019, background): “K E Y W O R D S ecological niche model, environmental filter, sampling bias, spatial filter et al., 2009), which is often violated by clustered collections of natural history occurrence data (Oliveira et al., 2016).”