Trajectory assessment of the vulnerable marsupial Dromiciops gliroides in the Patagonian temperate forest

Kazimierski, Laila D.; Catalano, Nicolás; Laneri, Karina; Oliver, Agustina Balazote; Calzolari, Gabriela; Amico, Guillermo C.; Abramson, Guillermo

doi:10.1007/s42991-021-00106-5

Cited by 5 publications

(5 citation statements)

References 47 publications

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“…When large temporal scales are considered, studies are more interested in describing dispersion properties, and, for illustrating long-distance migration and dispersal, other methodologies, like biotelemetry techniques and satellite tagging, are typically used. In contrast, analyses which focus on a single species and describe movements at all relevant scales, relating the small to the large ones, are few [ 22 – 24 ]. These studies are very important for the development of the movement ecology paradigm [ 39 ], which presents the goal of unifying organismal movement research also from the perspective of temporal scales: from a single step toward the entire lifetime track, eventually characterizing the presence of different movement phases.…”

Section: Discussionmentioning

confidence: 99%

“…The same organism could present a Lévy regime at fine-scale movements that could change to Gaussian as the interval between locations increases. This interesting question remains still open, as empirical studies which describe the movements of the same species at pronounced different scales are sparse [ 22 – 24 ]. Fryxell et al [ 22 ] studied elks over different orders of magnitude in time (minutes to years) and space (meters to 100 km).…”

Section: Introductionmentioning

confidence: 99%

“…At the finest scales, elk used area-restricted search while browsing, and less sinuous paths when not browsing. The study by Kazimierski et al [ 24 ] studied the movements of a small american marsupial qualitatively characterizing the shape of the small scales trajectories and estimating the speed of movement, the daily home range (less than 100 m 2 ) and its exploration by using the large-scale dataset.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the interplay between small and large scales movements in a neotropical small mammal

Brigatti,

Ríos-Uzeda,

Vieira

2024

Mov Ecol

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We record and analyze the movement patterns of the marsupial Didelphis aurita at different temporal scales. Animals trajectories are collected at a daily scale by using spool-and-line techniques and, with the help of radio-tracking devices, animals traveled distances are estimated at intervals of weeks. Small-scale movements are well described by truncated Lévy flight, while large-scale movements produce a distribution of distances which is compatible with a Brownian motion. A model of the movement behavior of these animals, based on a truncated Lévy flight calibrated on the small scale data, converges towards a Brownian behavior after a short time interval of the order of 1 week. These results show that whether Lévy flight or Brownian motion behaviors apply, will depend on the scale of aggregation of the animals paths. In this specific case, as the effect of the rude truncation present in the daily data generates a fast convergence towards Brownian behaviors, Lévy flights become of scarce interest for describing the local dispersion properties of these animals, which result well approximated by a normal diffusion process and not a fast, anomalous one. Interestingly, we are able to describe two movement phases as the consequence of a statistical effect generated by aggregation, without the necessity of introducing ecological constraints or mechanisms operating at different spatio-temporal scales. This result is of general interest, as it can be a key element for describing movement phenomenology at distinct spatio-temporal scales across different taxa and in a variety of systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the interplay between small and large scales movements in a neotropical small mammal

Brigatti,

Ríos-Uzeda,

Vieira

2024

Mov Ecol

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“…For instance, its low cost, appropriate weight and size, as well as good precision and autonomy are among those requirements. These characteristics outperform a previous Arduino prototype used by the research team in the field to gather movement information that allowed us to assess some basic quantities such as daily area visited by tortoises and trajectory characteristics [ 25 ]. With this new family of devices, we can monitor tortoises for several days with better accuracy.…”

Section: Discussionmentioning

confidence: 99%

Design and Development of a Family of Integrated Devices to Monitor Animal Movement in the Wild

Kazimierski

Trevisan

Kubisch

et al. 2023

Sensors

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Monitoring the tortoise Chelonoidis chilensis in the wild, currently in a vulnerable state of conservation in southern Argentina, is essential to gather movement information to elaborate guidelines for the species preservation. We present here the electronic circuit design as well as the associated firmware for animal monitoring that was entirely designed by our interdisciplinary research team to allow the extension of device features in the future. Our development stands out for being a family of low-cost and low-power devices, that could be easily adaptable to other species and contexts. Each device is composed of a sub 1 GHz radiofrequency IoT-compatible transceiver, a global navigation satellite system (GNSS) receiver, a magnetometer, and temperature and inertial sensors. The device does not exceed 5% of the animal’s weight to avoid disturbance in their behavior. The board was designed to work as a monitoring device as well as a collecting data station and a tracker, by adding only small pieces of hardware. We performed field measurements to assess the autonomy and range of the radiofrequency link, as well as the power consumption and the associated positioning error. We report those values and discuss the device’s limitations and advantages. The weight of the PCB including battery and GNSS receiver is 44.9 g, its dimensions are 48.7 mm × 63.7 mm, and it has an autonomy that can vary between a week and a month, depending on the sampling rates of the sensors and the rate of the RF signal and that of the GNSS receiver. The characterization of the device parameters will favor the open use of this development by other research groups working on similar projects.

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“…Empirically, the movement track of an individual over a landscape is generally represented by a sequence of locations that is recorded using GPS technology [38], ATLAS reverse GPS technology [39], acoustic receivers or other technologies [40]. From such sets of relocation points, also referred to as a "walk," step-length (SL; also velocities when the sampling frequency is fixed) and turning-angle (TA) time series can be extracted [30] (Appendix A.2).…”

Section: Introductionmentioning

confidence: 99%

The Statistical Building Blocks of Animal Movement Simulations

Getz,

Salter,

Sethi

et al. 2023

Preprint

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Animal movement plays a key role in many ecological processes and has a direct influence on the individual’s fitness. Movement tracks can be studied at various spatio-temporal scales, but the movement usually emerges from sequences of fundamental movement elements (FuMEs: e.g., a step or wing flap). The importance of movement in all aspects of the life history of mobile animals highlights the need to develop tools for generating realistic tracks. These individual movement elements are typically not extractable from relocation tracking data: a time series of sequential locations (e.g., GPS fixes) from which we can extract step-size or length (SL, aka velocity when sampling frequency is fixed) and turning-angle (TA) time series. The statistics of these extracted quantities (means, standard deviations, correlations), computed for fixed short segments of track (e.g., 10-30 point sequences), can then be used to categorize such segments into statistical movement elements (StaMEs; e.g. directed fast movement versus random slow movement elements). StaMEs from the same category can be used as a basis for constructing step-selection kernels of a particular movement type, referred to as a canonical activity mode (CAM; e.g. foraging, or commuting). Such CAM kernels can be used to simulate tracks from pure or characteristic mixtures of two or more CAMs, where such mixtures are recognized as a particular type of activity: e.g., foraging or directed walking with interruptions for vigilance or navigation bouts. These activity types in turn (e.g., interspersed sequences of resting, foraging, and directed movements) can then be organized into temporally fixed (24-hour) diel activity routines (DARs; e.g., a day of migration vs a day of local movement). We suggest that a simulator accounting specifically for the hierarchical nature of movement able to generate segments of tracks that may fit CAM length sections of real movement data. Hence, here we present a two-mode, step-selection kernel simulator (Numerus ANIMOVER_1), built using Numerus RAMP technology. We discuss methods for selecting kernel parameters that generate StaMEs comparable to those observed in empirical data, thereby providing a general tool for simulating animal movement in diverse contexts such as evaluation on animal response to landscape changes. We illustrate our methods for extracting StaMEs from both simulated and real data—in our case the latter is movement data of two barn owls (Tyto alba) in the Harod Valley, Israel. The methods described here may provide a way to fit fine scale simulations to empirical data to in ways that may allow us to identify stressed or diseased individuals.

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Trajectory assessment of the vulnerable marsupial Dromiciops gliroides in the Patagonian temperate forest

Cited by 5 publications

References 47 publications

Exploring the interplay between small and large scales movements in a neotropical small mammal

Exploring the interplay between small and large scales movements in a neotropical small mammal

Design and Development of a Family of Integrated Devices to Monitor Animal Movement in the Wild

The Statistical Building Blocks of Animal Movement Simulations

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