Estimating the distribution and relative density of satellite-tagged loggerhead sea turtles using geostatistical mixed effects models

@article{Winton2018EstimatingTD,
  title={Estimating the distribution and relative density of satellite-tagged loggerhead sea turtles using geostatistical mixed effects models},
  author={Megan V. Winton and Gavin Fay and Heather L. Haas and Michael D Arendt and Susan G. Barco and Michael C. James and Christopher R. Sasso and Ronald Joel Smolowitz},
  journal={Marine Ecology Progress Series},
  year={2018},
  volume={586},
  pages={217-232}
}
Movement and location data collected via satellite-linked telemetry tags are often used to inform spatial conservation measures for threatened marine populations. [...] Key Method We use simulation testing to compare the performance of the proposed models with several conventional space use estimators. Our results suggest that geostatistical mixed effects models outperform conventional estimators when the number of tag transmissions changes over time, a common source of bias in satellite telemetry studies that…Expand

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References

SHOWING 1-10 OF 71 REFERENCES
Enhancing the Use of Argos Satellite Data for Home Range and Long Distance Migration Studies of Marine Animals
TLDR
Post-processing SSM locations nonetheless constitutes the best analytical technique for remotely sensed Argos tracking data and it is recommended to use this approach to rework historical Argos datasets for better estimation of animal spatial utilisation for research and evidence-based conservation purposes. Expand
Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator.
TLDR
This work derives an autocorrelated KDE (AKDE) from first principles to use autcorrelated data, making it perfectly suited for movement data sets, and illustrates the vastly improved performance of AKDE using analytical arguments, relocation data from Mongolian gazelles, and simulations based upon the gazelle's observed movement process. Expand
Modelling animal movement using the Argos satellite telemetry location error ellipse
TLDR
An observation model utilizing the Argos error ellipse is presented and it is demonstrated how this observation model can be combined with a simple three-dimensional movement model in a state-space formulation to infer activity budgets and movement characteristics from location and dive data of two species of seal. Expand
Inferring Animal Densities from Tracking Data Using Markov Chains
TLDR
A simple Markov-chain method is introduced that produces unbiased measures of relative density from tracking data and will be important in giving unbiased estimates of density from the growing corpus of animal tracking data. Expand
Comparative interpretation of count, presence-absence and point methods for species distribution models
TLDR
This study recapitulates some recent statistical results and illustrates that under certain assumptions, each method can be motivated by the same underlying spatial inhomogeneous Poisson point process (IPP) model in which the intensity function is modelled as a log-linear function of covariates. Expand
Estimating animal behavior and residency from movement data
TLDR
The behavioral state of the animal can be associated to regions in space, thus revealing migration corridors and residence areas, and the process-based approach to estimate residency and behavior from uncertain and temporally correlated movement data collected with electronic tags is presented. Expand
Estimating animal resource selection from telemetry data using point process models.
TLDR
This study takes a conceptually different approach to modelling animal telemetry data for making RSF inference, and proposes point process models that are a generalization of the weighted distribution telemetry models. Expand
Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity
Summary Changing climate is already impacting the spatial distribution of many taxa, including bees, plants, birds, butterflies and fishes. A common goal is to detect range shifts in response toExpand
Spatial and temporal statistical analysis of bycatch data: patterns of sea turtle bycatch in the North Atlantic
Loggerhead (Caretta caretta) and leatherback (Dermochelys coriacea) sea turtle distributions and movements in offshore waters of the western North Atlantic are not well understood despite continuedExpand
Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model
TLDR
A switching state-space model (SSSM) for discerning different movement behaviours hidden within error-prone satellite telemetry data is presented and it is shown that while transiting, leatherbacks make longer, deeper dives; and while foraging, they encounter cooler waters that range from 13 to 22°C. Expand
...
1
2
3
4
5
...