Effects of Vegetation and Background Noise on the Detection Process in Auditory Avian Point-Count Surveys

By K. Pacifici, Theodore Simons, K. Pollock. 2008

145 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/acb893482a3b12b83dae5da366dd07d4e0a8e29e

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. Dan Stowell
2. C. D. Francis

In Ecology

1. A. Cruz
2. C. P. Ortega
3. Dan Stowell
4. C. D. Francis

In Ecology, Evolution, Behavior and Systematics

1. C. P. Ortega
2. Dan Stowell

Citations in the corpus

• Data-efficient weakly supervised learning for low-resource audio event detection using deep learning (2018, background): “Also, there is noise present in most habitats, and many bird communities contain multiple bird species that can potentially have overlapping vocalisations [25, 26, 27].”
• Noise pollution changes avian communities and species interactions. (2009, background): “We evaluated conservation concerns that noise limits bird distributions and reduces nesting success via a natural experiment to isolate the effects of noise from confounding stimuli and to control for the effect of noise on observer detection biases [5].”