Designing occupancy studies: general advice and allocating survey effort

By D. MacKenzie, J. Andrew Royle. 2005

1,406 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4ca430f3750bfee3638b57c37858a7b12b355aaa

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In Ecology

In Economics and Econometrics

In Nature and Landscape Conservation

Citations in the corpus

Best practice guidelines for surveys and monitoring of great ape populations (2008, methodology): “Instead, occupancy modelling provides probabilities of ape occurrence, even for sites at which no ape sign is detected (MacKenzie and Royle 2005).”
Do occupancy or detection rates from camera traps reflect deer density? (2017, background): “When the target species is common, however, the occupancy estimator will asymptote (Lewis et al. 2015), in which case any further information on increased relative abundance of that species will be lost unless intensive sampling is undertaken (Mackenzie and Royle 2005).”
Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches (2010, background): “In addition researchers are beginning to use a new class of models called occupancy models to calculate N̂C (MacKenzie and Royle 2005; MacKenzie et al. 2005) and understand how occupancy is influenced by covariates.”
Site‐occupancy modelling as a novel framework for assessing test sensitivity and estimating wildlife disease prevalence from imperfect diagnostic tests (2012, methodology): “…flexibility formodelling and for exploring potential sources of variation in detection probability (e.g. for assessing the influence of pathogen load on pathogen detection rate) and should thus be implemented only after preliminary investigations of diagnostic protocols (Mackenzie & Royle 2005).”
Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes (2017, methodology): “These models enable separation of the measurement and biological process models (MacKenzie and Royle, 2005; Latimer et al., 2006; Gelfand et al., 2005).”
Defining and observing stages of climate-mediated range shifts in marine systems (2014, methodology): “Accounting for detectability using approaches such as mark-recapture and occupancy models will improve the identification, modelling and prediction of both current and future range shifts (MacKenzie and Royle, 2005; Wintle et al., 2012; Garrard et al., 2013).”
Effectiveness of Scat Detection Dogs for Detecting Forest Carnivores (2007, background): “…both low detection rates and low probability of detection can lead to inaccurate and biased occupancy estimates and suggest that a minimum of 2–3 surveys be conducted at each site to accurately estimate detection probability and occupancy (Tyre et al. 2003, Wintle 2003, MacKenzie and Royle 2005).”
The uncertain nature of absences and their importance in species distribution modelling (2010, background): “Confirmed absences are very difficult to obtain, and require higher levels of sampling effort to ensure their reliability than those required for the presences (Mackenzie and Royle 2005).”
Influence of camera-trap sampling design on mammal species capture rates and community structures in southeastern Brazil (2013, methodology): “Alternatively, the camera-trap data from appropriate sampling designs could be used to estimate species occupancy, which may be used as a surrogate for abundance (MacKenzie et al. 2002, MacKenzie & Royle 2005), as applied by Ahumada et al. (2011).”
Distance sampling with camera traps (2017, background): “However, multiple research objectives can be addressed, and useful data for multiple species obtained, if CTs are deployed according to a randomised design (MacKenzie & Royle 2005; Wearn et al. 2013; Burton et al. 2015; D enes, Silveira & Beissinger 2015).”
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, methodology): “A site may be visited once and a series of detection/non-detection records collected by multiple independent observers, multiple independent detection methods or by spatial subsampling of the site (MacKenzie and Royle 2005).”