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Journal ArticleDOI

Identifying and prioritizing ungulate migration routes for landscape-level conservation.

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TLDR
A general framework using the Brownian bridge movement model (BBMM) provides a probabilistic estimate of the migration routes of a sampled population, distinguishes between route segments that function as stopover sites vs. those used primarily as movement corridors, and prioritizes routes for conservation based upon the proportion of the sampled population that uses them.
Abstract
As habitat loss and fragmentation increase across ungulate ranges, identifying and prioritizing migration routes for conservation has taken on new urgency. Here we present a general framework using the Brownian bridge movement model (BBMM) that: (1) provides a probabilistic estimate of the migration routes of a sampled population, (2) distinguishes between route segments that function as stopover sites vs. those used primarily as movement corridors, and (3) prioritizes routes for conservation based upon the proportion of the sampled population that uses them. We applied this approach to a migratory mule deer (Odocoileus hemionus) population in a pristine area of southwest Wyoming, USA, where 2000 gas wells and 1609 km of pipelines and roads have been proposed for development. Our analysis clearly delineated where migration routes occurred relative to proposed development and provided guidance for on-the-ground conservation efforts. Mule deer migration routes were characterized by a series of stopover sites where deer spent most of their time, connected by movement corridors through which deer moved quickly. Our findings suggest management strategies that differentiate between stopover sites and movement corridors may be warranted. Because some migration routes were used by more mule deer than others, proportional level of use may provide a reasonable metric by which routes can be prioritized for conservation. The methods we outline should be applicable to a wide range of species that inhabit regions where migration routes are threatened or poorly understood.

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Journal ArticleDOI

Building the bridge between animal movement and population dynamics

TL;DR: The way animals move has important consequences for the degree of mixing that the authors expect to find both within a population and between individuals of different species, and as most animals revisit some places and avoid others based on their previous experiences, they foresee the incorporation of long-term memory and intention in movement models.
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A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement.

TL;DR: This novel extension of the Brownian bridge movement model, outperforms the current BBMM as indicated by simulations and examples of a territorial mammal and a migratory bird and provides a useful one-dimensional measure of behavioural change along animal tracks.
Journal ArticleDOI

Conserving mobile species

TL;DR: For example, this paper showed that even simple and predictable linkages among sites caused by to-and-fro migration can make migratory species especially vulnerable to habitat loss, and substantially affect the results of conservation prioritizations.
Journal ArticleDOI

A Migratory Northern Ungulate in the Pursuit of Spring: Jumping or Surfing the Green Wave?

TL;DR: It is concluded that whereas in some systems migration itself is a way to surf the green wave, in others it may simply be a means to reconnect with phenological spring at the summer range, in the light of ubiquitous anthropogenic environmental change.
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Foraging theory upscaled: the behavioural ecology of herbivore movement.

TL;DR: This work outlines how principles of optimal foraging developed for diet and food patch selection might be applied to movement behaviour expressed over larger spatial and temporal scales, and potentially enables large-scale movement responses to changing environmental conditions to be linked to population performance.
References
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Book

The Migration Ecology of Birds

Ian Newton
TL;DR: Newman as discussed by the authors presented an up-to-date, detailed and thorough review of the most fascinating ecological findings of bird migration, including the problems of navigation and vagrancy, the timing and physiological control of migration, the factors that limit their populations, and more.
Journal ArticleDOI

State-space models of individual animal movement.

TL;DR: The statistical robustness and predictive ability of state-space models make them the most promising avenue towards a new type of movement ecology that fuses insights from the study of animal behaviour, biogeography and spatial population dynamics.
Journal ArticleDOI

Analyzing animal movements using Brownian bridges.

TL;DR: A Brownian bridge movement model for estimating the expected movement path of an animal, using discrete location data obtained at relatively short time intervals is developed, based on the properties of a conditional random walk between successive pairs of locations.
Journal ArticleDOI

Extracting more out of relocation data: building movement models as mixtures of random walks

TL;DR: A framework for fitting multiple random walks to animal move- ment paths consisting of ordered sets of step lengths and turning angles, which allows for identification of different movement states using several properties of observed paths and lead naturally to the formulation of movement models.
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