IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY

By D. MacKenzie, James D. Nichols, N. Sutton, K. Kawanishi, L. Bailey. 2005

499 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9c3809301188f8e46beb354dae8b1de66cf726a9

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

In Ecology

1. E. Kalko
2. Kirsten Jung
3. Christoph F. J. Meyer
4. Tigga Kingston
5. P. Racey
6. Thomas H. Kunz
7. D. Faria
8. N. Furey

In Nature and Landscape Conservation

1. J. Szabo
2. D. MacKenzie
3. D. Faria
4. A. Tulloch
5. Christoph F. J. Meyer
6. E. Kalko
7. J. Fahr
8. Tigga Kingston

Citations in the corpus

• Differential responses of large mammals to logging and edge effects (2015, background): “Secnd, the probability of detecting a species in a given area, even f it is there, can vary across habitats, making it critical to account or differential “detectability” when directly comparing abundance stimates or habitat use among sites (MacKenzie et al., 2005).”
• WHAT ARE THE ISSUES WITH PRESENCE–ABSENCE DATA FOR WILDLIFE MANAGERS? (2005, methodology): “It is of particular importance to consider whether a proposed study design is likely to introduce detection heterogeneity between units due, for example, to observer effects or surveying different units at different times of the season (MacKenzie et al. 2004b, 2005b; MacKenzie and Royle 2005).”
• A behavioural ecology approach to understand volunteer surveying for citizen science datasets (2012, methodology): “…areas with inadequate data from analyses or selecting surrogates (Gregory and van Strien 2010), using new approaches corrected for detection (e.g. MacKenzie et al. 2005; Szabo et al. 2010) or encouraging spatial spread of additional data by setting new survey thresholds or targets for the…”
• Long-term monitoring of tropical bats for anthropogenic impact assessment: Gauging the statistical power to detect population change (2010, background): “Estimation approaches developed for occupancy surveys incorporate detection probability directly into the estimation process (MacKenzie and Kendall, 2002; MacKenzie et al., 2005; Nichols et al., 2008; Royle and Nichols, 2003) and thus deal appropriately with this fundamental component of estimating ”