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Context. Continued demand for long-distance remote wildlife tracking has resulted in the development of a variety of satellite tracking technologies. Choosing an appropriate satellite tracking system for a project involves financial, technical and operational tradeoffs associated with different systems.Aim. The aim of the present research was to assess the technology options and associated costs to help wildlife researchers select the best tracking solution for their needs.Methods. A technology-choice decision guide was developed to assist wildlife scientists select an optimal tracking technology. We undertook four satellite tracking case studies involving avian, aquatic and terrestrial species living in diverse environments around the world and use these case studies to validate and test the technology-choice decision guide and to calculate the cost effectiveness of alternative tracking methods. Technologies used in marine tracking were out of the scope of the present paper.Key results. Choosing the tracking method best suited for a project requires (1) clearly specifying the data required to meet project objectives, (2) understanding the constraints imposed by the study species and its environment, and (3) calculating the net cost per datum of the various tracking methods available.Key conclusions. We suggest that, in most circumstances, global positioning system (GPS) tracking is preferable to other options. However, where weight and environmental limitations prevent the use of GPS, alternatives such as Argos satellite Doppler-based positions (Argos) or very high frequency (VHF) can function adequately.Implications. The present paper provides simplified criteria for selecting the best wildlife satellite tracking technology for different situations.

Facial expressions are routinely used to assess pain in humans, particularly those who are non-verbal. Recently, there has been an interest in developing coding systems for facial grimacing in non-human animals, such as rodents, rabbits, horses and sheep. The aims of this preliminary study were to: 1. Qualitatively identify facial feature changes in lambs experiencing pain as a result of tail-docking and compile these changes to create a Lamb Grimace Scale (LGS); 2. Determine whether human observers can use the LGS to differentiate tail-docked lambs from control lambs and differentiate lambs before and after docking; 3. Determine whether changes in facial action units of the LGS can be objectively quantified in lambs before and after docking; 4. Evaluate effects of restraint of lambs on observers' perceptions of pain using the LGS and on quantitative measures of facial action units. By comparing images of lambs before (no pain) and after (pain) tail-docking, the LGS was devised in consultation with scientists experienced in assessing facial expression in other species. The LGS consists of five facial action units: Orbital Tightening, Mouth Features, Nose Features, Cheek Flattening and Ear Posture. The aims of the study were addressed in two experiments. In Experiment I, still images of the faces of restrained lambs were taken from video footage before and after tail-docking (n=4) or sham tail-docking (n=3). These images were scored by a group of five naïve human observers using the LGS. Because lambs were restrained for the duration of the experiment, Ear Posture was not scored. The scores for the images were averaged to provide one value per feature per period and then scores for the four LGS action units were averaged to give one LGS score per lamb per period. In Experiment II, still images of the faces nine lambs were taken before and after tail-docking. Stills were taken when lambs were restrained and unrestrained in each period. A different group of five human observers scored the images from Experiment II. Changes in facial action units were also quantified objectively by a researcher using image measurement software. In both experiments LGS scores were analyzed using a linear MIXED model to evaluate the effects of tail docking on observers' perception of facial expression changes. Kendall's Index of Concordance was used to measure reliability among observers. In Experiment I, human observers were able to use the LGS to differentiate docked lambs from control lambs. LGS scores significantly increased from before to after treatment in docked lambs but not control lambs. In Experiment II there was a significant increase in LGS scores after docking. This was coupled with changes in other validated indicators of pain after docking in the form of pain-related behaviour. Only two components, Mouth Features and Orbital Tightening, showed significant quantitative changes after docking. The direction of these changes agree with the description of these facial action units in the LGS. Restraint affected people's perc...

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