Investigating species co-occurrence patterns when species are detected imperfectly

By D. MacKenzie, L. Bailey, James D. Nichols. 2004

452 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/17982184962f422ee2401f55395eeb7ae46d5dd4

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Niche partitioning and species coexistence in a Neotropical felid assemblage. (2010, background): “MacKenzie et al. (2004, 2005) developed occupancy models to assess patterns of species co-occurrence and species interactions.”
Spatial and Temporal Structure of a Mesocarnivore Guild in Midwestern North America (2015, methodology): “Imperfect detection could lead to misleading inferences about species co-occurrence patterns; therefore, we accounted for species-specific detection probabilities while modeling multispecies camera-point and camera-cluster occupancy (MacKenzie et al. 2004, 2006).”
Mesopredator spatial and temporal responses to large predators and human development in the Santa Cruz Mountains of California (2015, methodology): “Habitat and survey covariates can also be incorporated when estimating both occupancy and detection through a logit link (MacKenzie et al., 2004, 2002).”
A probabilistic model for analysing species co-occurrence (2013, background): “However, a recent extension of occupancy modelling allows for the estimation of species detection probabilities as they might be influenced by a variety of factors including the presence of other species (MacKenzie et al., 2004; Richmond et al., 2010).”
Animal movement affects interpretation of occupancy models from camera‐trap surveys of unmarked animals (2018, background): “The occupancy status of sites is therefore not closed over the duration of repeated sampling, and in practice, researchers relax the assumption of site closure (Mackenzie et al. 2004).”
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).”
The effects of habitat, climate, and Barred Owls on long-term demography of Northern Spotted Owls (2016, methodology): “For initial occupancy, we used the parameterization of Richmond et al. (2010) because it is more stable than the parameterization of the original 2-species models developed by MacKenzie et al. (2004, 2006), which can fail to converge when covariates are included.”
Modeling co-occurrence of northern spotted and barred owls: Accounting for detection probability differences (2009, methodology): “…u is the ratio of how likely the species are to co-occur at a territory compared to what would be expected under a hypothesis of independence (MacKenzie et al., 2004 termed this quantity a species interaction factor), and d is a similar interaction factor for detection probabilities given…”
A new statistical approach for assessing similarity of species composition with incidence and abundance data (2004, background): “Grassle & Smith 1976; MacKenzie et al. 2004 ), nearly all existing approaches to measuring similarity make this assumption.] In general, as we will show with simulations, these measures are likely to severely underestimate true similarity between two (genuinely similar) assemblages that contain num”
WAS IT THERE? DEALING WITH IMPERFECT DETECTION FOR SPECIES PRESENCE/ABSENCE DATA † (2005, methodology): “There have been a number of different approaches to the problem of estimating the fraction of sites occupied by a species that is imperfectly detected (Giessler & Fuller, 1987; Azuma, Baldwin & Noon, 1990; MacKenzie et al., 2002; Tyre et al., 2003), although here the method of MacKenzie et al. (2002”
Estimating Site Occupancy and Detection Probability Parameters for Meso- And Large Mammals in a Coastal Ecosystem (2006, methodology): “Occupancy models provide a convenient framework for such extended analyses, with the qualification that there is some danger in making strong inferences about processes from occupancy patterns alone (MacKenzie et al. 2004)”
IMPROVING INFERENCES IN POPULATION STUDIES OF RARE SPECIES THAT ARE DETECTED IMPERFECTLY (2005, background): “…work on singleseason occupancy modeling includes development of a goodness-of-fit test for the above model (MacKenzie and Bailey 2004) and an approach for modeling and estimating possible dependencies in occupancy patterns (and detection probabilities) of multiple species (MacKenzie et al. 2004).”