495 items found
Predator management
Wildlife management
Fact sheet
Media quick guide
Predator management
Wildlife management
Fact sheet
Media quick guide
Chronic wasting disease (CWD)
Conservation
Hunting
Chronic wasting disease (CWD)
Conservation
Hunting
Availability process
Avian point counts
Detection probability
Field tests
Perception process
Time-of-detection method
Availability process
Avian point counts
Detection probability
Field tests
Perception process
Time-of-detection method
Bayesian model
Canada lynx
Functional data analysis
Movement modelling
Splines
Telemetry
Bayesian model
Canada lynx
Functional data analysis
Movement modelling
Splines
Telemetry
Summary
- Advancements in wildlife telemetry techniques have made it possible to collect large data sets of highly accurate animal locations at a fine temporal resolution. These data sets have prompted the development of a number of statistical methodologies for modelling animal movement.
- Telemetry data sets are often collected for purposes other than fine-scale movement analysis. These data sets may differ substantially from those that are collected with technologies suitable for fine-scale movement modelling and may consist of locations that are irregular in time, are temporally coarse or have large measurement error. These data sets are time-consuming and costly to collect but may still provide valuable information about movement behaviour.
- We developed a Bayesian movement model that accounts for error from multiple data sources as well as movement behaviour at different temporal scales. The Bayesian framework allows us to calculate derived quantities that describe temporally varying movement behaviour, such as residence time, speed and persistence in direction. The model is flexible, easy to implement and computationally efficient.
- We apply this model to data from Colorado Canada lynx (Lynx canadensis) and use derived quantities to identify changes in movement behaviour.
Infectious disease
Metapopulation
Yellowstone
Infectious disease
Metapopulation
Yellowstone
Clustering
GPS telemetry
Intensity of use
Mixture model
Clustering
GPS telemetry
Intensity of use
Mixture model
Abstract
- The intensity of use of a location is one of the most studied properties of animal movement, yet movement analyses generally focus on the overall use of a location without much consideration of how patterns in intensity of use emerge. Extracting properties related to intensity of use, such as the number of visits, the average and variation in time spent and the average and variation in time between visits, could help provide a more mechanistic understanding of how animals use landscape. Combining and synthesizing these properties into a single spatial representation could inform the role that a location plays for an animal.
- We developed an R package named ‘UseScape’ that allows the extraction of these metrics and then clustered them using mixture modelling to create a spatial representation of the type of use an animal makes of the landscape. We illustrate applications of the approach using datasets of animal movement from four taxa and highlight species-specific and cross-species insights.
- Our framework highlights properties that functionally differ in how animals use them, contrasting, for example, heavily used locations that emerge because they are frequented for long durations, locations that are repeatedly and regularly visited for shorter durations of time or locations visited irregularly. We found that species generally had similar types of use, such as typical low, mid and high use, but there were also species-specific clusters that would have been ignored when only focusing on the overall intensity of use.
- Our multi-system comparison highlighted how the framework provided novel insights that would not have been directly obtainable by currently available approaches. By making the framework available as an R package, these analyses can be easily applicable to a myriad of systems where relocation data are available. Movement ecology as a field can strongly benefit from approaches that not just describe patterns in space use, but also highlight the behavioural mechanisms leading to these emerging patterns.
Baiting
Capture
Capture techniques
Collaring
Fawn
Handling
Mule deer
Noninvasive
<em>Odocoileus hemionus</em>
Baiting
Capture
Capture techniques
Collaring
Fawn
Handling
Mule deer
Noninvasive
<em>Odocoileus hemionus</em>
JWM
Wildlife management
JWM
Wildlife management
The Journal of Wildlife Management (JWM) Editor-in-Chief, P. R. Krausman, invited the lead author of this editorial to convene other senior and mid-career scientists to assess the good, bad, and ugly aspects of publication in JWM relative to similar journals. The 15 authors have considerable experience and are well published in JWM and other journals. The number of years of experience will go unreported here, but the number of papers published in JWM by each author ranges from 2 to 37, with a median of 13. We therefore bring a broad perspective to this editorial.
Because the authors brought unique perspectives to the effort, our editorial is not intended to be a consensus document. Although most authors agreed with most of the comments, we chose not to water down any opinions to gain total agreement. Hence, although most of us are primarily researchers, we hope our views capture those of many members of TWS, recognizing that TWS members will also hold a diversity of views.
[show more]Mammal populations
Wyoming
Aeronautics in wildlife management
Mammal populations
Wyoming
Aeronautics in wildlife management