EVALUATION OF A MULTIPLE‐SPECIES APPROACH TO MONITORING SPECIES AT THE ECOREGIONAL SCALE

By P. Manley, W. Zielinski, M. D. Schlesinger, S. Mori. 2004

148 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/6865259dc20f2210780f854bdbba245bbc88f69f

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. James D. Nichols
2. A. F. O'connell
3. L. Bailey
4. A. Gilbert
5. Neil W. Talancy
6. J. Hines
7. A. Treves
8. D. MacKenzie

In Ecology

1. James D. Nichols
2. L. Bailey
3. A. F. O'connell
4. J. Hines
5. A. Gilbert
6. Neil W. Talancy
7. Andrew J. Plumptre
8. A. Treves

Citations in the corpus

• Camera-trapping forest–woodland wildlife of western Uganda reveals how gregariousness biases estimates of relative abundance and distribution (2010, background): “Monitoring multiple wildlife species across a wide area can be prohibitively costly in time, personnel, and resources (Field et al., 2005; Gompper et al., 2006; Long et al., 2007; Manley et al., 2004).”
• Multi-scale occupancy estimation and modelling using multiple detection methods (2008, background): “…where multiple detection methods are deployed within a sample unit to detect multiple species of a given taxon (Sorensen, Coddington & Scharff 2002; Manley et al. 2004, 2005; O’Connell et al. 2006), or individuals of various sizes or life-history phases for a given species (Smith et al. 2006;…”