Ecological metrics and methods for GPS movement data

Seidel, Dana Paige; Dougherty, Eric R.; Carlson, Colin J.; Getz, Wayne M.

doi:10.1080/13658816.2018.1498097

Cited by 69 publications

(93 citation statements)

References 127 publications

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“…For the inter-nesting home range area, residence time was defined as the number of days spent in ARM mode (Barraquand & Benhamou 2008, Seidel et al 2018. Inferred second nesting events were also evaluated following Maxwell et al (2011).…”

Section: Inter-nesting Residence Time and Inferred Inter-nesting Intementioning

confidence: 99%

Olive ridley inter-nesting and post-nesting movements along the Brazilian coast and Atlantic Ocean

Santos¹,

Silva²,

Sforza³

et al. 2019

Endang. Species. Res.

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The states of Sergipe and Bahia comprise the main nesting beaches for olive ridley sea turtles Lepidochelys olivacea in Brazil. Between February 2014 and March 2015, 40 L. olivacea were equipped with Argos platform transmitter terminal tags. A state-space model was applied to Argos location data to investigate the animals' spatial ecology and identify areas of restricted movements (ARMs) and directional movements. The inter-nesting ARMs included the continental shelf from the south of Alagoas state to the north of Bahia, totaling 7244 km 2 (kernel density estimation, 90% isopleth) and generally extended up to 22 km from the coast or to the 50 m isobath. The post-nesting directional movements were classified as either (1) neritic north/ northeastern (N/NE) Brazil to French Guiana (n = 4 turtles), (2) neritic south/southeastern (S/SE) Brazil (n = 16), or (3) oceanic (n = 19) from Brazil to West Africa. ARMs consistent with foraging areas were identified for 24 olive ridleys: 15 along the continental shelf of SE Brazil, 2 adjacent to Ceará and Maranhão states (between the 25 and 75 m isobaths), and 7 off the African countries of Cape Verde, Senegal, Gambia, Guinea-Bissau, and Sierra Leone. The results de monstrated the complexity of olive ridley movements from northern Brazil, raised questions about connectivity, and highlighted threats such as fisheries, ports, and hydrocarbon exploration fields overlapping with, or near to, high-use areas. These results can be used as a basis for spatial management measures to protect this endangered species.

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Section: Inter-nesting Residence Time and Inferred Inter-nesting Intementioning

confidence: 99%

Olive ridley inter-nesting and post-nesting movements along the Brazilian coast and Atlantic Ocean

Santos¹,

Silva²,

Sforza³

et al. 2019

Endang. Species. Res.

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“…This argument is particularly powerful if users are investigating a trajectory with a large fix rate (i.e., > 3 hrs), for which the default behavior will not provide especially informative results. Rolling statistics are often used as inputs to more advanced types of movement analyses [19,20]. These rolling window plots offer users insights into behavioral patterns that may relate to the identification of different modes of activity (e.g., using break-point analyses [21,22]).…”

Section: Visualizations and Distributionsmentioning

confidence: 99%

Exploratory movement analysis and report building with R package stmove

Seidel¹,

Dougherty²,

Getz

2019

Preprint

Self Cite

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Background As GPS tags and data loggers have become lighter, cheaper, and longer-lasting, there has been a growing influx of data on animal movement. Simultaneously, methods of analyses and software to apply such methods to movement data have expanded dramatically. Even so, for many interdisciplinary researchers and managers without familiarity with the field of movement ecology and the open-source tools that have been developed, the analysis of movement data has remained an overwhelming challenge.Description Here we present stmove, an R package designed to take individual relocation data and generate a visually rich report containing a set of preliminary results that ecologists and managers can use to guide further exploration of their data. Not only does this package make report building and exploratory data analysis (EDA) simple for users who may not be familiar with the extent of available analytical tools, but it sets forth a framework of best practice analyses, which offers a common starting point for the interpretation of terrestrial movement data. ResultsUsing data from African elephants (Loxodonta africana) collected in southern Africa, we demonstrate stmove's report building function through the main analyses included: path visualization, primary statistic calculation, summary in space and time, and space-use construction. ConclusionsThe stmove package provides consistency and increased accessibility to managers and researchers who are interested in movement analysis but who may be unfamiliar with the full scope of movement packages and analytical tools. If widely adopted, the package will promote comparability of results across movement ecology studies.

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“…Movement metrics are quantities that might be calculated directly from raw, uncorrected and unprocessed movement data. These metrics can be grouped into two large categories: trajectory analysis metrics and space-use analysis metrics [11]. For describing the path, the most basic ones are the step length (the Euclidean distance between consecutive relocations) and turning angle (the angle of one step relative to the step immediately prior), and the distance traveled by animals [12].…”

Section: Movement Ecologymentioning

confidence: 99%

Internet of Things for evaluating foraging and feeding behavior of cattle on grassland-based farming systems: concepts and review of sensor technologies

Álvarez¹,

Valdés²,

Perez-Teruel³

2019

Proceedings of ISP RAS

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In this paper, we give an overview of the movement, foraging and feeding ecology as well as sensors technologies that could be embedded into an IoT-based platform for Precision Livestock Farming (PLF). A total of 43 peer-reviewed journal papers indexed by Web of Science were surveyed. Firstly, sensors technologies (e.g., RFID, GPS, or Accelerometer) used by the authors of each paper were identified. Then, papers were classified according to their applicability to ecological studies in the fields of foraging and feeding behavior.

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Ecological metrics and methods for GPS movement data

Cited by 69 publications

References 127 publications

Olive ridley inter-nesting and post-nesting movements along the Brazilian coast and Atlantic Ocean

Olive ridley inter-nesting and post-nesting movements along the Brazilian coast and Atlantic Ocean

Exploratory movement analysis and report building with R package stmove

Internet of Things for evaluating foraging and feeding behavior of cattle on grassland-based farming systems: concepts and review of sensor technologies

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