2021
DOI: 10.1111/2041-210x.13713
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track2KBA: An R package for identifying important sites for biodiversity from tracking data

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 61 publications
(47 citation statements)
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“…Following methods developed by Birdlife International 58 , 59 , IBAs for the African penguin during their pre- and post-moult stages were identified using the R package track2KBA 120 . An IBA is defined as a site that is known to regularly hold significant numbers of globally threatened species or a site that supports > 1% of the global population of a congregatory bird 59 , 121 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Following methods developed by Birdlife International 58 , 59 , IBAs for the African penguin during their pre- and post-moult stages were identified using the R package track2KBA 120 . An IBA is defined as a site that is known to regularly hold significant numbers of globally threatened species or a site that supports > 1% of the global population of a congregatory bird 59 , 121 .…”
Section: Methodsmentioning
confidence: 99%
“…For each data group, areas where > 10% of individuals’ core areas overlapped were identified. These areas were then assessed to check if they were representative of the tracked population and thus adequately described the at-sea distribution of the data group by calculating the ‘representativeness’ of the data group (function: repAssess, R package track2KBA 120 ). They were deemed representative if their representativeness score was > 70%.…”
Section: Methodsmentioning
confidence: 99%
“…The approach applied was one developed by BirdLife International, which aims to identify important at‐sea areas – based on tracking data – used by a threshold number of individuals, meaning a representative percentage of the population studied. Sites identified in this way can then be assessed against the global IBA criteria (Lascelles et al, 2016; Beal et al, 2021). This approach is based on three steps: (1) the identification of core‐use areas for each individual based on kernel density estimation (KDE); (2) the assessment of population‐level representativeness of the tracked sample; and (3) extrapolation to the population level and delineation of areas meeting a threshold of importance (Lascelles et al, 2016; Beal et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…Sites identified in this way can then be assessed against the global IBA criteria (Lascelles et al, 2016; Beal et al, 2021). This approach is based on three steps: (1) the identification of core‐use areas for each individual based on kernel density estimation (KDE); (2) the assessment of population‐level representativeness of the tracked sample; and (3) extrapolation to the population level and delineation of areas meeting a threshold of importance (Lascelles et al, 2016; Beal et al, 2021). Utilization distributions (UDs; i.e.…”
Section: Methodsmentioning
confidence: 99%
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