Fitting Dynamic Models to Animal Movement Data: The Importance of Probes for Model Selection, a Reply to Franz and Caillaud

2010 ◽  
Vol 175 (6) ◽  
pp. 762-764 ◽  
Author(s):  
Benjamin D. Dalziel ◽  
Juan M. Morales ◽  
John M. Fryxell
Keyword(s):  
Model Selection ◽  
Dynamic Models ◽  
Animal Movement ◽  
Movement Data

scholarly journals Movement syndromes of a Neotropical frugivorous bat inhabiting heterogeneous landscapes in Brazil

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Patricia Kerches-Rogeri ◽  
Danielle Leal Ramos ◽  
Jukka Siren ◽  
Beatriz de Oliveira Teles ◽  
Rafael Souza Cruz Alves ◽  
...  
Keyword(s):  
Site Fidelity ◽  
Animal Movement ◽  
Radio Telemetry ◽  
Food Resource ◽  
Movement Behavior ◽  
Movement Activity ◽  
Landscape Features ◽  
Heterogeneous Landscapes ◽  
Movement Data ◽  
High Site

Abstract Background There is growing evidence that individuals within populations can vary in both habitat use and movement behavior, but it is still not clear how these two relate to each other. The aim of this study was to test if and how individual bats in a Stunira lilium population differ in their movement activity and preferences for landscape features in a correlated manner. Methods We collected data on movements of 27 individuals using radio telemetry. We fitted a heterogeneous-space diffusion model to the movement data in order to evaluate signals of movement variation among individuals. Results S. lilium individuals generally preferred open habitat with Solanum fruits, regularly switched between forest and open areas, and showed high site fidelity. Movement variation among individuals could be summarized in four movement syndromes: (1) average individuals, (2) forest specialists, (3) explorers which prefer Piper, and (4) open area specialists which prefer Solanum and Cecropia. Conclusions Individual preferences for landscape features plus food resource and movement activity were correlated, resulting in different movement syndromes. Individual variation in preferences for landscape elements and food resources highlight the importance of incorporating explicitly the interaction between landscape structure and individual heterogeneity in descriptions of animal movement.

scholarly journals Running on empty: recharge dynamics from animal movement data

2018 ◽  
Author(s):  
Mevin B. Hooten ◽  
Henry R. Scharf ◽  
Juan M. Morales
Keyword(s):  
Animal Movement ◽  
Movement Data

scholarly journals Cattle trade between and within biomes in the state of Mato Grosso, Brazil

2018 ◽  
Vol 38 (11) ◽  
pp. 2023-2028
Author(s):  
Rísia L. Negreiros ◽  
José H.H. Grisi-Filho ◽  
Ricardo A. Dias ◽  
Fernando Ferreira ◽  
Valéria S.F. Homem ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Animal Movement ◽  
Control Strategies ◽  
The State ◽  
Disease Spread ◽  
Mato Grosso ◽  
Movement Data ◽  
Cattle Movements ◽  
Increased Risk ◽  
And Control

ABSTRACT: The analysis of animal movement patterns may help identify farm premises with a potentially high risk of infectious disease introduction. Farm herd sizes and bovine movement data from 2007 in the state of Mato Grosso, Brazil, were analyzed. There are three different biomes in Mato Grosso: the Amazon, Cerrado, and Pantanal. The analysis of the animal trade between and within biomes would enable characterization of the connections between the biomes and the intensity of the internal trade within each biome. We conducted the following analyses: 1) the concentration of cattle on farm premises in the state and in each biome, 2) the number and relative frequency of cattle moved between biomes, and 3) the most frequent purposes for cattle movements. Twenty percent (20%) of the farm premises had 81.15% of the herd population. Those premises may be important not only for the spread of infectious diseases, but also for the implementation of surveillance and control strategies. Most of the cattle movement was intrastate (97.1%), and internal movements within each biome were predominant (88.6%). A high percentage of movement from the Pantanal was to the Cerrado (48.6%), the biome that received the most cattle for slaughter, fattening and reproduction (62.4%, 56.8%, and 49.1% of all movements for slaughter, fattening, and reproduction, respectively). The primary purposes for cattle trade were fattening (43.5%), slaughter (31.5%), and reproduction (22.7%). Presumably, movements for slaughter has a low risk of disease spread. In contrast, movements for fattening and reproduction purposes (66.2% of all movements) may contribute to an increased risk of the spread of infectious diseases.

scholarly journals Generalizing the first-difference correlated random walk for marine animal movement data

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christoffer Moesgaard Albertsen
Keyword(s):  
Random Walk ◽  
Animal Movement ◽  
Marine Animal ◽  
Correlated Random Walk ◽  
Movement Data

scholarly journals Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification

2006 ◽  
Vol 135 (1-2) ◽  
pp. 125-154 ◽  
Author(s):  
Xiaohong Chen ◽  
Yanqin Fan
Keyword(s):  
Model Selection ◽  
Dynamic Models ◽  
Selection Of

scholarly journals Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology

2010 ◽  
Vol 365 (1550) ◽  
pp. 2303-2312 ◽  
Author(s):  
Mark Hebblewhite ◽  
Daniel T. Haydon
Keyword(s):  
Animal Ecology ◽  
Animal Movement ◽  
Gps Telemetry ◽  
Long Distance ◽  
Location Data ◽  
The Past ◽  
Movement Data ◽  
Migratory Songbirds ◽  
Spatio Temporal ◽  
Gps Devices

In the past decade, ecologists have witnessed vast improvements in our ability to collect animal movement data through animal-borne technology, such as through GPS or ARGOS systems. However, more data does not necessarily yield greater knowledge in understanding animal ecology and conservation. In this paper, we provide a review of the major benefits, problems and potential misuses of GPS/Argos technology to animal ecology and conservation. Benefits are obvious, and include the ability to collect fine-scale spatio-temporal location data on many previously impossible to study animals, such as ocean-going fish, migratory songbirds and long-distance migratory mammals. These benefits come with significant problems, however, imposed by frequent collar failures and high cost, which often results in weaker study design, reduced sample sizes and poorer statistical inference. In addition, we see the divorcing of biologists from a field-based understanding of animal ecology to be a growing problem. Despite these difficulties, GPS devices have provided significant benefits, particularly in the conservation and ecology of wide-ranging species. We conclude by offering suggestions for ecologists on which kinds of ecological questions would currently benefit the most from GPS/Argos technology, and where the technology has been potentially misused. Significant conceptual challenges remain, however, including the links between movement and behaviour, and movement and population dynamics.

Revisitation analysis uncovers spatio-temporal patterns in animal movement data

Ecography ◽  
2018 ◽  
Vol 41 (11) ◽  
pp. 1801-1811 ◽  
Author(s):  
Chloe Bracis ◽  
Keith L. Bildstein ◽  
Thomas Mueller
Keyword(s):  
Animal Movement ◽  
Temporal Patterns ◽  
Movement Data ◽  
Spatio Temporal

scholarly journals Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models

2019 ◽  
Vol 10 (9) ◽  
pp. 1536-1550 ◽  
Author(s):  
Timo Adam ◽  
Christopher A. Griffiths ◽  
Vianey Leos‐Barajas ◽  
Emily N. Meese ◽  
Christopher G. Lowe ◽  
...  
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Animal Movement ◽  
Hidden Markov ◽  
Joint Modelling ◽  
Multi Scale ◽  
Movement Data ◽  
Hierarchical Hidden Markov Models

scholarly journals Elucidating the significance of spatial memory on movement decisions by African savannah elephants using state–space models

2015 ◽  
Vol 282 (1805) ◽  
pp. 20143042 ◽  
Author(s):  
Leo Polansky ◽  
Werner Kilian ◽  
George Wittemyer
Keyword(s):  
Spatial Memory ◽  
State Space ◽  
Animal Movement ◽  
Behavioural Change ◽  
Social Contexts ◽  
Spatial Knowledge ◽  
State Space Models ◽  
Movement Behaviour ◽  
Movement Data ◽  
Directional Movement

Spatial memory facilitates resource acquisition where resources are patchy, but how it influences movement behaviour of wide-ranging species remains to be resolved. We examined African elephant spatial memory reflected in movement decisions regarding access to perennial waterholes. State–space models of movement data revealed a rapid, highly directional movement behaviour almost exclusively associated with visiting perennial water. Behavioural change point (BCP) analyses demonstrated that these goal-oriented movements were initiated on average 4.59 km, and up to 49.97 km, from the visited waterhole, with the closest waterhole accessed 90% of the time. Distances of decision points increased when switching to different waterholes, during the dry season, or for female groups relative to males, while selection of the closest waterhole decreased when switching. Overall, our analyses indicated detailed spatial knowledge over large scales, enabling elephants to minimize travel distance through highly directional movement when accessing water. We discuss the likely cognitive and socioecological mechanisms driving these spatially precise movements that are most consistent with our findings. By applying modern analytic techniques to high-resolution movement data, this study illustrates emerging approaches for studying how cognition structures animal movement behaviour in different ecological and social contexts.

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