Simpler methods can outperform more sophisticated ones when assessing bird migration starting date

Cerritelli, Giulia; Vanni, Lorenzo; Baldaccini, Natale Emilio; Lenzoni, A.; Sorrenti, Michele; Falchi, Valentina; Luschi, Paolo; Giunchi, Dimitri

doi:10.1007/s10336-020-01770-z

Cited by 7 publications

(8 citation statements)

References 45 publications

(56 reference statements)

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“…Part of the tracks considered in this study were already published in Giunchi et al . (2015) and in Cerritelli et al . (2020).…”

Section: Methodsmentioning

confidence: 88%

“…Two types of GPS devices (GPS-UHF and GPS-GSM) were deployed in the period 2012-2019 (see Table S1 for details). Part of the tracks considered in this study were already published in Giunchi et al (2015) and in Cerritelli et al (2020). The GPS were fitted on birds using a Teflon ribbon leg-loop (Rappole and Tipton, 1991) or backpack harness (Viterbo population only).…”

Section: Tracking Datamentioning

confidence: 99%

“…In order to minimize possible bias inherent in subjective approaches (Cerritelli et al 2020), we objectively identified departure and arrival dates in both breeding and wintering areas and stopovers through the segmentation method implemented in the package 'segclust2d' 0.2.0 (Patin et al 2020) in R 4.0.2 (R Core Team 2020). This method allows to find similar segments in function of the speed and tortuosity (i.e.…”

Section: Tracking Datamentioning

confidence: 99%

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Eurasian Stone-curlews Burhinus oedicnemus breeding in Italy show a remarkable inter and intra-population variability of migratory behaviour

Falchi

Barbon²,

Catoni³

et al. 2022

Preprint

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Migratory behaviour in birds shows a remarkable variability at species, population and individual levels. Short-distance migrants, in particular, often adopt a partial migratory strategy and tend to have a rather flexible migration schedule which allows them to respond more effectively to extreme environmental variations, like those due to climate change. Weather seasonality and environmental heterogeneity at regional and local scales have been reported as significant factors in the diversification of migratory behaviour for some species of Mediterranean migrants. Relatively few studies, however, investigated the migration patterns of non-passerine birds migrating within this area. In this study we investigated the migratory strategy of the Eurasian Stone-curlew Burhinus oedicnemus using data collected on 40 individuals tagged with geolocators and GPS-GSM tags, belonging to two continental and two Mediterranean populations of the Italian peninsula. The proportion of migrants was significantly higher in continental populations, but we observed a significant variability also within Mediterranean populations. GPS-tagged migrants traveled less than 1000 km, spending the winter within the Mediterranean basin. Continental Stone-curlews i) departed earlier in spring and later in autumn and ii) covered longer distances than those from Mediterranean areas. The speed of migration did not change between seasons for continental birds, while Mediterranean individuals tended to migrate faster in spring. The likelihood of departure for autumn migration of GPS-tagged birds significantly increased when temperatures were near or below 0 °C suggesting that Stone-curlews tend to delay departure weather conditions worsen abruptly. Thus it can be speculated that the frequency of migratory birds in the considered populations may decrease in the near future due to the effect of global warming in the Mediterranean. This could have a significant effect on the distribution of species throughout the year and should be taken into account when targeting conservation measures.

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“…Part of the tracks considered in this study were already published in Giunchi et al . (2015) and in Cerritelli et al . (2020).…”

Section: Methodsmentioning

confidence: 88%

Section: Tracking Datamentioning

confidence: 99%

Section: Tracking Datamentioning

confidence: 99%

See 1 more Smart Citation

Eurasian Stone-curlews Burhinus oedicnemus breeding in Italy show a remarkable inter and intra-population variability of migratory behaviour

Falchi

Barbon²,

Catoni³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The geographical position of a site was summarized as the arithmetic mean of all location fixes between the arrival and departure time from the site. We assigned the first recorded fix at a site as the time of arrival and the last recorded fix at the site as the time of departure (Cerritelli et al, 2020; Kuang et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Differential population trends align with migratory connectivity in an endangered shorebird

Morrick

Lilleyman

Fuller

et al. 2021

Conservat Sci and Prac

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Migratory connectivity describes the extent to which migratory species' populations are connected throughout the annual cycle. While recognized as critical for understanding the population dynamics of migratory species and conserving them, empirical evidence of links between migratory connectivity and population dynamics are uncommon. We analyzed associations between spatiotemporal connectivity and differential population trends in a declining and endangered migratory shorebird, the far eastern curlew (Numenius madagascariensis), with multiyear tracking data from across the Australian nonbreeding grounds. We found evidence of temporal and spatial segregation during migration and breeding: curlew from southeast Australia initiated northward migration earlier, arrived at breeding sites earlier, and bred at lower latitudes than curlew from northwest Australia. Analysis of land modification intensity revealed that populations from southeast Australia face greater human impacts compared to those from northwest Australia at both the breeding and nonbreeding grounds, a pattern that aligns with steeper population declines in southeast Australia. This alignment between migratory † Clive D. T. Minton was deceased.

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“…Despite the importance of understanding migration phenology and common reporting of phenological information in movement-related wildlife analyses, a consistent methodology for determining departure and arrival dates has not yet emerged (Cerritelli et al, 2020; Soriano-Redondo et al, 2020). Often, there is no straightforward reproducible methodology, and authors provide vague descriptions of methods used to assign migration phenology to each individual (Shephard et al, 2015; Shimada et al, 2014).…”

Section: Example Applicationsmentioning

confidence: 99%

Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets

Wolfson

Fieberg

Andersen

2021

Preprint

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Technological advances in the field of animal tracking have greatly expanded the potential to remotely monitor animals, opening the door to exploring how animals shift their behavior over time or respond to external stimuli. A wide variety of animal-borne sensors can provide information on an animal’s location, movement characteristics, external environmental conditions, and internal physiological status. Here, we demonstrate how piecewise regression can be used to identify the presence and timing of potential shifts in a variety of biological responses using GPS telemetry and other biologging data streams. Different biological latent states can be inferred by partitioning a time-series into multiple segments based on changes in modeled responses (e.g., their mean, variance, trend, degree of autocorrelation) and specifying a unique model structure for each interval. We provide five example applications highlighting a variety of taxonomic species, data streams, timescales, and biological phenomena. These examples include a short-term behavioral response (flee and return) by a trumpeter swan (Cygnus buccinator) immediately following a GPS collar deployment; remote identification of parturition based on movements by a pregnant moose (Alces alces); a physiological response (spike in heart-rate) in a black bear (Ursus americanus) to a stressful stimulus (presence of a drone); a mortality event of a trumpeter swan signaled by changes in collar temperature and Overall Dynamic Body Acceleration; and an unsupervised method for identifying the onset, return, duration, and staging use of sandhill crane (Antigone canadensis) migration. We implement analyses using the mcp package in R, which provides functionality for specifying and fitting a wide variety of user-defined model structures in a Bayesian framework and methods for assessing and comparing models using information criterion and cross-validation measures. This approach uses simple modeling approaches that are accessible to a wide audience and is a straightforward means of assessing a variety of biologically relevant changes in animal behavior.

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Simpler methods can outperform more sophisticated ones when assessing bird migration starting date

Cited by 7 publications

References 45 publications

Eurasian Stone-curlews Burhinus oedicnemus breeding in Italy show a remarkable inter and intra-population variability of migratory behaviour

Eurasian Stone-curlews Burhinus oedicnemus breeding in Italy show a remarkable inter and intra-population variability of migratory behaviour

Differential population trends align with migratory connectivity in an endangered shorebird

Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets

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