Abstract
1. Passive acoustic telemetry is widely used to study the movements of aquatic animals. However, a holistic, mechanistic modelling framework that permits the reconstruction of fine-scale movements and emergent patterns of space use from detections at receivers remains lacking.
2. Here, we introduce an integrative modelling framework that recapitulates the movement and detection processes that generate detections to reconstruct finescale movements and patterns of space use. This framework is supported by a new family of algorithms designed for detection and depth observations and can be flexibly extended to incorporate other data types. Using simulation, we illustrate applications of our framework and evaluate algorithm utility and sensitivity in different settings. As a case study, we analyse movement data collected from the Critically Endangered flapper skate (Dipturus intermedius) in Scotland.
3. We show that our methods can be used to reconstruct fine-scale movement paths, patterns of space use and support habitat preference analyses. For reconstructing patterns of space use, simulations show that the methods are consistently more instructive than the most widely used alternative approach (the mean-position algorithm), particularly in clustered receiver arrays. For flapper skate, the reconstruction of movements reveals responses to disturbance, finescale spatial partitioning and patterns of space use with significant implications for marine management.
4. We conclude that this framework represents a widely applicable methodological advance with applications to studies of pelagic, demersal and benthic species across multiple spatiotemporal scales
2. Here, we introduce an integrative modelling framework that recapitulates the movement and detection processes that generate detections to reconstruct finescale movements and patterns of space use. This framework is supported by a new family of algorithms designed for detection and depth observations and can be flexibly extended to incorporate other data types. Using simulation, we illustrate applications of our framework and evaluate algorithm utility and sensitivity in different settings. As a case study, we analyse movement data collected from the Critically Endangered flapper skate (Dipturus intermedius) in Scotland.
3. We show that our methods can be used to reconstruct fine-scale movement paths, patterns of space use and support habitat preference analyses. For reconstructing patterns of space use, simulations show that the methods are consistently more instructive than the most widely used alternative approach (the mean-position algorithm), particularly in clustered receiver arrays. For flapper skate, the reconstruction of movements reveals responses to disturbance, finescale spatial partitioning and patterns of space use with significant implications for marine management.
4. We conclude that this framework represents a widely applicable methodological advance with applications to studies of pelagic, demersal and benthic species across multiple spatiotemporal scales
| Original language | English |
|---|---|
| Article number | 10 |
| Pages (from-to) | 2626-2638 |
| Number of pages | 13 |
| Journal | Methods in Ecology and Evolution |
| Volume | 14 |
| Issue number | 10 |
| Early online date | 10 Aug 2023 |
| DOIs | |
| Publication status | Published - 3 Oct 2023 |
Bibliographical note
Funding Information:We appreciated discussions with Jason Matthiopoulos, Richard Glennie, Carl Donovan, Andrew Seaton, David Miller, Helen Moor and Andreas Scheidegger. The work was supported by a PhD Studentship at the University of St Andrews funded by NatureScot, via the Marine Alliance for Science and Technology for Scotland (MASTS), and the Centre for Research into Ecological and Environmental Modelling. Data were made available through the Movement Ecology of Flapper Skate project funded by NatureScot (project 015960) and Marine Scotland (projects SP004 and SP02B0). Jane Dodd, Ronnie Campbell, Roger Eaton, Francis Neat and Dmitry Aleynik supported this project. MASTS and Shark Guardian provided additional funding. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.
Funding Information:
We appreciated discussions with Jason Matthiopoulos, Richard Glennie, Carl Donovan, Andrew Seaton, David Miller, Helen Moor and Andreas Scheidegger. The work was supported by a PhD Studentship at the University of St Andrews funded by NatureScot, via the Marine Alliance for Science and Technology for Scotland (MASTS), and the Centre for Research into Ecological and Environmental Modelling. Data were made available through the Movement Ecology of Flapper Skate project funded by NatureScot (project 015960) and Marine Scotland (projects SP004 and SP02B0). Jane Dodd, Ronnie Campbell, Roger Eaton, Francis Neat and Dmitry Aleynik supported this project. MASTS and Shark Guardian provided additional funding. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.
Publisher Copyright:
© 2023 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.
Keywords
- biologging
- biotelemetry
- centre of activity
- particle filtering
- utilisation distribution