Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges

By Francesca Cagnacci, L. Boitani, Roger A. Powell, M. Boyce. Philosophical Transactions of the Royal Society B: Biological Sciences, 2010

768 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Small Animals

View Paper: https://www.semanticscholar.org/paper/c542356e019dfe7d442b85894f83de0a00a9f167

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Citations in the corpus

Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses (2018, background): “Advances in technology have led to large collections of ﬁne-scale animal bioteleme-try data (Cagnacci et al. , 2010; Kays et al. , 2015), fueling the development of new quantitative methods for studying animal movement (Hooten et al. , 2017).”
Recursive movement patterns: review and synthesis across species (2015, background): “These advances allow researchers to accurately sample animals’ movement at a very high frequency and for long periods of time using GPS tags or collars (Cagnacci et al. 2010).”
Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology (2010, background): “Many of the other papers in this special issue of the Philosophical Transactions of the Royal Society address the advances in the field of ecology that are being wrought through the application of GPS-based location data (Cagnacci et al. 2010).”
Correlation and studies of habitat selection: problem, red herring or opportunity? (2010, background): “In particular, high-frequency telemetry data should facilitate more realistic models of animal movement (Cagnacci et al. 2010), including the ability to link movement rates (and directions) to fine-scale habitat features, memory and perception and individual behavioural states (see review by Patters”
Establishing the link between habitat selection and animal population dynamics (2015, background): “…models (SDMs) have thrived in the last 25 years because of the emergence of new data-collection technologies (Millspaugh and Marzluff 2001, Cagnacci et al. 2010) and data analysis techniques (Buckland and Elston 1993, Boyce and McDonald 1999, Guisan and Zimmermann 2000, Guisan et al.…”
Roles of Raptors in a Changing World: From Flagships to Providers of Key Ecosystem Services (2016, background): “As in many areas of science, important conceptual advances in animal ecology have been stimulated by technological innovations combined with a parallel increase of statistical and mathematical methods tools (Cagnacci et al., 2010; Börger, 2016).”
A flexible GPS tracking system for studying bird behaviour at multiple scales (2012, background): “…reviews that have recently been published (Cooke et al. 2004; Ropert-Coudert and Wilson 2005; Wikelski et al. 2007; Rutz and Hays 2009; Cagnacci et al. 2010; Robinson et al. 2010; Tomkiewicz et al. 2010; Bridge et al. 2011; Guilford et al. 2011; Sokolov 2011) show that the development…”
Using the movement patterns of reintroduced animals to improve reintroduction success (2014, background): “The rapid development of movement recording technologies, which enables managers to collect movement data on various spatial and temporal scales with increasing ease (Johnson et al., 2002; Cagnacci et al., 2010), has made the employment of tracking devices on released individuals a common practice (”
RangeShifter: a platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes (2014, background): “We now have much greater ability to obtain and analyse movement data and to model how organisms move in complex environments (Cagnacci et al. 2010; Morales et al. 2010).”