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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
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State Space Representation

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Marking site boundaries using a compass is a precise surveying technique that ensures the accuracy of boundary delineation. The process begins by using provided site details, including the bearings and lengths of each boundary line. The initial step involves calculating latitudes and departures for all sides of the site. This computation verifies that the traverse is free of errors, ensuring a closed and accurate boundary.The process starts at a known point, such as Point A, which is often...
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Movement Retraining using Real-time Feedback of Performance
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Published on: January 17, 2013

A spatial mark--resight model augmented with telemetry data.

Rahel Sollmann1, Beth Gardner, Arielle W Parsons

  • 1North Carolina State University, Department of Forestry and Environmental Resources, Fisheries and Wildlife Program, 110 Brooks Avenue, Raleigh, North Carolina 27607, USA. rsollma@ncsu.edu

Ecology
|May 22, 2013
PubMed
Summary
This summary is machine-generated.

Estimating wildlife population density is challenging for rare species. This study introduces a spatial mark-resight model combining resighting and telemetry data for more accurate density estimates.

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Using Pharmacological Manipulation and High-precision Radio Telemetry to Study the Spatial Cognition in Free-ranging Animals

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Area of Science:

  • Ecology
  • Conservation Biology
  • Wildlife Management

Background:

  • Estimating population abundance and density is crucial for ecology and conservation.
  • Mark-resight models offer a less invasive alternative to mark-recapture for abundance estimation.
  • Traditional mark-resight methods struggle with accurate density estimation due to undefined sampling areas.

Purpose of the Study:

  • To develop a spatial mark-resight model for improved population density estimation.
  • To integrate spatial resighting and telemetry data for enhanced model accuracy.
  • To accommodate models where individual identification of marked animals is not always possible.

Main Methods:

  • Developed a novel spatial mark-resight model.
  • Incorporated telemetry data to inform movement and location parameters.
  • Utilized a Bayesian framework with a custom Metropolis-within-Gibbs Markov chain Monte Carlo algorithm.
  • Applied the model to a raccoon (Procyon lotor) population study.

Main Results:

  • Estimated raccoon population density on South Core Banks, North Carolina.
  • Achieved a population estimate of 186.71 +/- 14.81 individuals.
  • Calculated a density of 8.29 +/- 0.66 individuals/km2.
  • Demonstrated the model's capability with partially identifiable individuals.

Conclusions:

  • The developed spatial mark-resight model provides a robust method for estimating population density.
  • The integration of telemetry data significantly improves density estimation accuracy.
  • This model has broad applicability for elusive species and in conservation efforts.