

While the main purpose of the majority of tagging programs is to collect locational data to understand movement and area use, both locational data and the information collected through additional sensors, e.g., accelerometers or heart‐rate and temperature loggers, may be used to infer behavior, maximizing the output from placing interventions onto individuals (Ropert‐Coudert & Wilson, 2005 Wilmers et al., 2015). Remote tracking and tagging of animals is becoming ever more widespread across zoological research programs (Casper, 2009), aided by the increasing miniaturization of many devices that has enabled their application to a greater range of target species (Portugal & White, 2018). We hope that the approach outlined may be developed to provide practitioners who have detailed knowledge of the behavior of their study species with a practical means of assessing the breeding status and outcomes of their study populations. The acquisition of improved knowledge on the behaviors of individuals at each stage of breeding enables more targeted conservation efforts and reduces the need for additional monitoring visits that may cause increased disturbance and risk of nest failure. The Eurasian Curlew is a species of high conservation concern across Europe, and our results concur with recent studies highlighting that population declines are likely to be driven by low levels of productivity. Based on our results, we estimate a low daily nest survival rate of 0.935 during incubation, that only a small proportion of individuals successfully raised young, and that there was a high proportion (26%) of non‐breeders in the population. Limited validation was provided by additional field observations. Using a training data set from an individual of known breeding status, we visually assessed the frequency of revisits to particular locations to identify prebreeding, incubation, chick guarding, and post‐breeding stages to an accuracy of a within at most half a day and thus breeding outcomes. This package identifies foci of activity (using K‐means clustering) based on revisitations. This study aimed to identify breeding status in Eurasian Curlew ( Numenius arquata) from GPS tag movement patterns using the “ recurse” package in R. Given the importance of breeding status when targeting conservation interventions novel methods are needed. Most, if not all, intensive bird monitoring comes with disturbance risks and many projects now rely on tagging of individuals to provide remote information on movements. (From what I can tell, it's pretty much the same as a copy paste of the web address.Identifying the breeding status of cryptic bird species has proved problematic without intense or inherently expensive monitoring. On your phone, this is saved under the “Saved > Hikes” icon along the bottom of your screen.Īlso helpful: along the bottom are icons for “Copy Link” and “Share”, which lets you send that webpage easily to your other hiking buddies. This saves pretty much that entire webpage on your phone, with distance, elevation gain, recent trip reports, and of course a base map with the GPX file. The easiest way to save both the track and a lot of info about that hike is to click the big green “Save Hike” button at the top right corner. Once you find the hike you want, give it a click. (The search function can be a little hit or miss it can help to type in the state you're looking for so you don't get results from all over the world.) Search for the name of the hike you want, or use the map finder to zoom into your area of interest.
#John day gps tracks how to#
(The app has some pretty good built-in hike finders as well, but we're not covering that today.) Here's how to do it. Note: You need to have an account at for this to work, and the below examples are shown on the desktop website, not on the app. Plus, if you already use their app, a big timesaver is that you can save a hike description or hiking track directly onto your phone with one click. In addition, the website has steadily improved and it’s now is a solid place to locate hike track files, provided you know where to look. Gaia GPS is my favorite backcountry navigation phone app.
