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Found 27 results

  1. Beginner Bird Banding Course April 22 – 28, 2019 The Harris Center for Conservation Education and New Hampshire Audubon will host a Spring Beginner Bird Banding course in Hancock, NH from April 22 – 28, 2019. The beginner course is intended for birders and wildlife biologists to obtain bird handling skills and will be taught by Dr. Patricia Wohner. Patricia has been banding birds on research projects and MAPS stations for over 19 years and will teach necessary skills for monitoring and research programs involving bird banding. The specific skills taught will include: safe operation of mist nets, methods of extraction of birds from mist nets, bird-handling skills, a primer on in-hand ageing and sexing techniques, and data scoring and recording using MAPS protocol and forms. Target netting skills may also be taught depending on interest. The course will be taught at the beginning of spring migration in young and mature forest at the beautiful Harris Center for Conservation Education in Hancock, NH. Each student will handle many different passerines and near-passerines including Warblers, Sparrows, Woodpeckers, Thrushes, and others. Each day will consist of a morning practical mist netting and banding birds, and an afternoon class session at the Harris Center. Cost of the course including lunch is $975/ person. A $150 non-refundable down payment is required to hold a spot in the class. Classes fill quickly, so be sure to register early! The Beginner Bird Banding Course is limited to 7 participants! To register or questions email pjwohner@gmail.com or call 423-999-9019. In the registration email, please include your name, address, and phone number where you can be reached. Payment by check can be made payable to Patricia Wohner. Send checks to Carol Foss, Audubon Society of New Hampshire, 84 Silk Farm Road, Concord, NH 03301
  2. degrootel

    Motus WTS Workshop

    The Motus Wildlife Tracking System has revolutionized how we record animal movements in nature. Powdermill Avian Research Center (www.powdermillarc.org) and Willistown Conservation Trust are pleased to announce that they will be providing Motus technology workshops at Powdermill Nature Reserve April 5th -7th and at the American Ornithological Meeting June 25th, 2019. The workshop at Powdermill Nature Reserve will be held from 5pm Friday April 5h to noon Sunday April 7th. Powdermill Nature Reserve, the field station of the Carnegie Museum of Natural History, is located in the beautiful mountains of Western Pennsylvania near Rector. The workshop is aimed towards those with little or no experience utilizing nanotags and the Motus Wildlife Tracking Network. Participants will gain hands on experience building a sensorgnome, setting up a Motus station, and attaching nanotags to live birds (for participants sub-permitted to band birds). Presentations will focus on project planning, examples of how the network has been used for research, and limitations of the technology. Workshop registration is $275 and includes meals Friday evening through Sunday morning, and shared housing in modest cabins on property free of charge (bring your own linens). Participants can build and take home their own Raspberry Pi sensorgnome (Funcube Dongles not included) for an additional $225. If you wish to stay elsewhere, standard accommodations are available at several nearby hotels for approximately $100 per night. Participants will be responsible for their own transportation. For more information and to register visit: https://powdermillarc.org/news/motus-workshop/ The workshop at the American Ornithology Meeting will consist of a two 4-hour sessions Tuesday June 25th in Anchorage Alaska. The morning session will cover project planning, equipment, and data management while afternoon session will focus on constructing a sensorgnome. The morning presentations will include development of local or regional networks, station equipment, transmitter selection and attachment, metadata, and data retrieval and processing using Program R. Participants in the afternoon session will get hands-on experience building and testing a fully functional, weatherproof sensorgnome using the Raspberry Pi microcomputer. There is an optional add-on fee to cover the cost of the sensorgnome if you would like to take yours home ($225, Funcube Dongles not included). For more information and to register visit: https://amornithmeeting.org/workshops-roundtables/. Additional questions can be sent to Jon Rice, ricej@carnegiemnh.org, or Luke DeGroote, degrootel@carnegiemnh.org.
  3. I am pleased to announce that Powdermill Avian Research Center will be holding an “Extraction/Banding” workshop in May 2019. Spring “Extraction/Banding” Workshop: Wednesday, May 15 through Sunday, May 19. The workshop will begin before dawn on Wednesday (5/15) and end Sunday (5/19) at noon. Participants will want to arrive Tuesday evening (5/14) prior to the workshop. The majority of time will be spent in the field with live birds, and these sessions will be complemented with afternoon presentations and discussions. This workshop is an excellent primer for NABC (North American Banding Council) Bander Certification as we will cover banding ethics, banding methodology, molt terminology, and use of the Pyle Guide. The focus of this workshop is on training participants to handle and extract birds from mist nets, and to band birds, but we’ll have discussions and practice ageing and sexing birds via plumage and molt limits, and will include discussions on molt terminology and how to decode the “Pyle Guide”. The cost is $750 per person and includes on site lodging (with kitchen) and breakfast. This workshop will be NABC-approved. To sign up please fill out the following Google Form: http://goo.gl/forms/kaQiLhs1aZ
  4. The Western Section of The Wildlife Society will host “How to work with local governments: a workshop for biologists” Nov. 30-Dec. 2 in Davis, California. This three-day workshop will go into the steps it takes to coordinate with municipal, county, special district, and joint powers authorities as a consultant, conservationist, agency biologist or researcher. Instructors will bring decades of experience to the topic, covering everything from ethics to CEQA implications and more. The workshop will incorporate examples from personal experience, as well as have guest speakers from different entities and agencies. Early registration lasts until Oct. 30 and is: $335 for Section members $380 for non-members (Student registration spots are already filled) To register please visit www.wildlifeprofessional.org/western/gov2018_reg.php. More information is also available here. Contact Ivan Parr at workshops@tws-west.org with any questions. View the full article
  5. Workshop: Using environmental DNA for surveys and monitoring Dates: November 5-9, 2018 Location: The Wilds Conservation Science Training Center, Cumberland OH Instructor: Dr. Stephen Spear, Director of Wildlife Ecology at The Wilds Environmental DNA is increasingly used as a monitoring tool for aquatic and even some terrestrial species. This week-long workshop will provide a detailed introduction to eDNA methodology and how to apply the method into a monitoring framework. The workshop will have lecture components, but will primarily focus on hands-on lab exercises. The workshop is geared toward focal species eDNA monitoring, although metabarcoding approaches will be discussed. The following topics will be included: • Overview of eDNA case studies using both water and soil sampling • Collection and filtering of water and soil samples in the field • Designing primers for species-specific amplification • Laboratory extraction and amplification of eDNA samples using qPCR • Interpreting results and analytical tools for using eDNA in monitoring programs. At the end of the week, each participant will have collected, extracted, and analyzed their own eDNA samples. Participants will also work in groups to design and implement a small eDNA research study during the course of the week. This workshop is targeted toward both professionals and graduate students with limited first-hand experience with eDNA that are looking to learn more about the method or develop their own eDNA projects. No previous experience is required, although some prior experience in either genetic techniques or monitoring methods would be helpful. The course will be located at The Wilds (https://thewilds.columbuszoo.org), a 10,000 acre AZA conservation center located approximately 90 miles east of Columbus. Our facilities include a low-copy DNA lab, a general lab, classroom, Eastern hellbender conservation center, and many lakes and streams. Housing is available at the new Wilds cabins at Straker Lake (https://thewilds.columbuszoo.org/home/visit/stay-overnight/the-wilds- cabins-at-straker-lake). The cabins at Straker lake have 3 rooms/ 2 bathrooms per cabin. Each room has two beds. A limited number of spaces at our Conservation Science Training Center cabins will be available for students on a first-come, first-serve basis. Food service will not be available at The Wilds during the workshop, although each cabin comes with a kitchen that will allow participants to prepare their own meals. Workshop fees and costs: The fee for the workshop is $700 for professionals and $500 for students. Housing at the cabins at Straker lake is an additional $50/person/night for each room if there are two people per room, or $100/person/night if an individual room is desired. Limited student housing at the CSTC cabins is available for $62.50 for the entire week. To register for the workshop or to ask any questions, please contact Stephen Spear at sspear@thewilds.org.
  6. Powdermill Avian Research Center (www.powdermillarc.org) is pleased to announce that it will be hosting its second workshop on Motus technology beginning 5pm Friday October 5th, and ending 2pm Sunday October 7th 2018. The workshop will be held at Powdermill Nature Reserve, the field station of the Carnegie Museum of Natural History (Pittsburgh) located in the beautiful mountains of Western Pennsylvania near Rector. The workshop is aimed towards those with little or no experience utilizing nanotags and the Motus Wildlife Network. Participants will gain hands on experience setting up a Motus station and attaching nanotags to live birds (for participants sub-permitted to band birds). Presentations will focus on project planning, examples of how the network has been used for research, and limitations of the technology. Workshop registration is $275 and includes meals Friday evening through Sunday morning, and shared housing in modest cabins on property free of charge (bring your own linens). We are also offering a “build your own sensorgnome” option for an additional $225, you can learn to build you own sensorgnome and then take it home with you at the end of the workshop. If you wish to stay elsewhere, standard accommodations are available at several nearby hotels for approximately $100 per night. Participants will be responsible for their own transportation. If you are interested in attending, please visit the following link and fill out a registration form: https://powdermillarc.org/news/motus-workshop/
  7. The Vancouver Avian Research Centre is pleased to announce spring 2017 dates for Bird Monitoring and Banding Workshops. Bird Monitoring and Banding Workshop: • May 5 – 7 • June 3 - 5 The Bird Monitoring and Banding Workshop is designed for people with little or no bird banding or bird in the hand experience and provides a fantastic opportunity to see birds up close and personal, to learn about their plumage, molt sequences and life habits. Most of all, these workshops are designed to be a fun and interesting experience and a way to take your interest in birds and the environment to the next level. See what people who have attended the workshops have to say and why the average rating from course participants is 9.5 out of 10!! http://www.birdvancouver.com/testimonials.html Full details of course schedules and content and registration information can be found online at: http://www.birdvancouver.com/workshop_banding_intro.html
  8. Bayesian Workshop for Ecologists and Wildlife Biologists Texas State University, San Marcos, Texas JUNE 1-3, 2016 Instructors Dr. William A. Link USGS Patuxent Wildlife Research Center, USA Dr. Richard J. Barker University of Otago, New Zealand Cost: Students - $299.00, Non-students - $499.00 Dorms available: $45/night, Linen charge $70 (optional) Registration web page and link to tentative outline of topics http://www.txstate.edu/continuinged/Events/Bayesian-Workshop.html Questions: Dr. Butch Weckerly fw11@txstate.edu or Dr. Jeff Hatfield jhatfield@usgs.gov William Link received his Ph.D from the University of Massachusetts, Amherst in 1986. After a year on the faculty of Towson University, Link was hired as Mathematical Statistician at the Patuxent Wildlife Research Center (PWRC) in Laurel, Maryland, where he has collaborated on analyses of count surveys, demographic analyses, mark-recapture, contaminant studies and many other aspects of wildlife statistics. In the mid-1990s, he dabbled with Bayesian methods, and became hooked. After early experience as a fish and game officer in New Zealand, Richard Barker spent a year at PWRC. Link and Barker’s early acquaintance led to a collaboration that is in its third decade, with important contributions as early advocates of Bayesian methods for wildlife statistics. Their recent work has focused on Bayesian multimodel inference, and lead to a book “Bayesian inference, with ecological applications” published in 2010. After Barker’s stint at PWRC, he returned to New Zealand, earning his Ph.D at Massey University. Barker is now Professor and Chair of Statistics at the University of Otago in Dunedin, New Zealand. Workshop participants will receive a free copy of Link and Barker’s book.
  9. Analyzing Ecological Data with Hierarchical Models Five-day Workshop: 15-18 Mar 2016 Time: 9 am – 5 pm Location: Rosenstiel School of Marine & Atmospheric Science – University of Miami, Miami, Florida Instructor: Dr. Robert M. Dorazio Wetland and Aquatic Research Center U.S. Geological Survey Gainesville, Florida 32653 Email: bdorazio@usgs.gov Course Description: This workshop is designed to provide wildlife scientists with the training needed to formulate and fit hierarchical models of animal abundance and occurrence to actual data sets. Most of these models can be fitted using either frequentist or Bayesian methods of analysis. However, Bayesian methods will be emphasized in the workshop because scientific interest is often focused on a model’s latent state variables or predictions (such as the abundance or occurrence of animals at sampled or unsampled locations) and computing inferences for these quantities is often difficult with frequentist methods. The workshop begins with a description of hierarchical modeling and its use in the analysis of ecological data. This is followed by a conceptual review of the frequentist system of inference and by an introduction to Bayesian methods of analysis. Next is a description of a generic set of algorithms (Markov chain Monte Carlo) that can be used to fit all of the hierarchical models described in the workshop – and many more! Armed with these tools, participants of the workshop will learn to derive and implement simulation-based algorithms for fitting hierarchical models to different types of data (as opposed to relying on software such as BUGS or JAGS). The workshop is intended to provide substantial hands-on training. Considerable time will be devoted to the technical details of fitting hierarchical models to data and to summarizing and interpreting the results of each analysis. As time permits, data brought to the workshop by participants will be presented and analyzed as class exercises. Prerequisites: (1) working knowledge of the R software program (R Core Team, 2015), (2) laptop computer with R installed, (3) familiarity with the frequentist system of statistical inference (including maximum likelihood estimation), and (4) familiarity with the analytical evaluation of joint, marginal, and conditional probability density functions, particularly as they are used in specifying mixtures of distributions. RSMASworkshopOutline2016.pdf
  10. Two spatial capture-recapture (SCR) training workshops. The workshops have overlapping content, but different duration (hence intensity). Instructors for both workshops are David Borchers, Ben Stevenson and Eric Rexstad of the Univ of St Andrews. Each workshop is limited to 30 participants. The workshops will cover the key concepts underlying SCR methods, and provide training in use of the methods. They will cover binary, count and time-to-detection data types, and all kinds of detectors, including camera traps, hair snares, acoustic detectors, mist nets and single-catch traps, and transect and area searches. Participants will get hands-on training in estimating density, abundance and related parameters. Issues of measures of precision and model selection will be discussed. Use of SCR with spatially-referenced variables for generating predictions of animal density and habitat use across landscapes will be covered. Training workshop in Seattle 26 June 2016. One day workshop held immediately prior to the International Statistical Ecology Conference on the campus of the University of Washington. Workshop will introduce participants to SCR methods ranging from the most basic to the most recently developed. Some example analyses (using R) will be conducted during the workshop. Further information and registration details for Seattle workshop can be found at http://depts.washington.edu/uwconf/wordpress/isec2016/workshops/ Training workshop in St Andrews 29-31 August 2016. Target audience is biologists/ecologists who intend to, or are currently using spatial capture-recapture methods for the estimation of abundance/density/distribution. The workshop will be hands-on, primarily using the R package 'secr', although mention will be made of other software. Participants are encouraged to bring their own data formatted for use by 'secr' or 'admbsecr' (primarily for acoustic data). Familiarity with the R language is assumed and will be aided with pre-workshop online tutorials. Further information and registration details for St Andrews workshop can be found at http://creem2.st-andrews.ac.uk/spatial-capture-recapture-workshop-29-31-august-2016/
  11. Instructors: Marc Kéry & Andy Royle, Swiss Ornithological Institute & USGS Patuxent Wildlife Research Center Date: 9–13 November 2015 Venue: Patuxent Wildlife Research Center, Laurel/MD Course fee: USD$550 (normal rate), USD$350 (student rate) The analysis of abundance and of the dynamic rates governing their change lies at the core of ecology and its applications such as conservation and wildlife management. Meta-population designs, where repeated measurements of some quantity such as counts or distance measurements are made at a collection of sites, underlie a vast number of studies in ecology and management. Inference about such data is conveniently based on hierarchical models, where one submodel describes the underlying true state of the process (e.g., abundance at a site) and another submodel describes the observation process that connects the true state to the observations. In recent years, much progress has been made in the development of methods and computer algorithms to fit hierarchical models. In particular, Bayesian statistical analysis and the general-purpose Bayesian software packages BUGS and JAGS have revolutionized the ways in which ecologists can conduct complex population analyses. On the other hand, the R package unmarked contains a wealth of functions for a frequentist analysis of hierarchical models of abundance. This course introduces key hierarchical models used in the analysis of abundance and survival and their spatial and temporal patterns, and provides both Bayesian and frequentist methods for their analysis. We use packages unmarked and wiqid and especially WinBUGS, OpenBUGS and JAGS to fit and understand some of the most widely used models for the analysis of animal and plant populations. These include: Binomial (Royle 2004) and multinomial N-mixture models (Dorazio et al. 2005, Royle et al. 2007) Conventional distance sampling and Hierarchical distance sampling (e.g., Royle et al. 2004, Sillett et al. 2012) Dynamic models of abundance for replicated counts (Dail & Madsen 2011) or distance sampling data (Sollmann et al. 2015) Cormack-Jolly-Seber (CJS) models, especially hierarchical CJS models for variation in survival over space (Saracco et al. 2010) or in a community of species This is an intermediate-level workshop with about 80% spent lecturing and 20% on solving exercises. A working knowledge of modern regression methods (GLMs, mixed models) and of program R is required. Previous experience with the BUGS language is beneficial. Please bring your own laptops and install a recent version of R, with the latest version of package unmarked, plus JAGS and/or WinBUGS 1.4. OpenBUGS works for most of what we do. Please apply here by 1 October 2015: https://docs.google.com/forms/d/1qqjfnIqk7TX8MTaYX2UzPl9OtdCtjodKQ206Qd8zSKY/viewform?usp=send_form
  12. “Master” R in Washington DC this September! Join RStudio Chief Data Scientist Hadley Wickham at the AMA – Executive Conference Center in Arlington, VA on September 14 and 15, 2015 for this rare opportunity to learn from one of the R community’s most popular and innovative authors and package developers. It will be at least another year before Hadley returns to teach his class on the East Coast, so don't miss this opportunity to learn from him in person. The venue is conveniently located next to Ronald Reagan Washington National Airport and a short distance from the Metro. Attendance is limited. Past events have sold out. Register today! Cross-posted from the RStudio Blog, http://blog.rstudio.org/2015/06/12/hadley-wickhams-master-r-developer-workshop-washington-dc-registration-is-open/
  13. Join RStudio Chief Data Scientist Hadley Wickham at the University of Illinois at Chicago, on Wednesday May 27th & 28th for this rare opportunity to learn from one of the R community’s most popular and innovative authors and package developers. As of this post, the workshop is two-thirds sold out. If you’re in or near Chicago and want to boost your R programming skills, this is Hadley’s only Central US public workshop planned for 2015. Register here: https://rstudio-chicago.eventbrite.com
  14. Michael Wink and his team at Heidelberg University offer a hand-on workshop on DNA analytics in ornithology February 13-15, 2015. The lectures will cover a wide range of topics from phylogenetics, phylogeography and paternity studies to SNP analyses and handling of “big data” in the context of Next Generation Sequencing. Practical exercises will include phylogenetic reconstructions and microsatellite analyses. Please register with Petra Fellhauer (fellhauer@uni-heidelberg.de) by January 20 (participation fee: 130 € including snacks, excluding accommodation, travelling and full meals).
  15. Assessing the Probability of Species Occurrence and Detection with Occupancy Models Tuesday, Feb. 24, 2015; 8AM-5PM Cost: $60 USD Maximum Enrollment: 25 Presented by the Society for Northwestern Vertebrate Biology http://thesnvb.org/annual-meeting-2015/ Instructors: Mike Adams and Tara Chestnut, USGS Amphibian Research and Monitoring Initiative (ARMI Program) In ecological research, it is often of interest to ask questions about the probability of species occurrence when detection is imperfect. For example, how does the probability that a pond is occupied by red-legged frogs relate to the occurrence of non-native fish?; or the occurrence of a pathogen relate to water chemistry? Such analyses rely on survey data that result from efforts to detect the species of interest and measure site characteristics. These analyses are hampered by false negatives: the failure to detect a species at a site where it is present. Occupancy models can be used to estimate the probability that a site is occupied (and other parameters related to changes in occupancy) despite false negatives. They use repeated observations to estimate and account for the probability that a single observation will detect a species that is present. Since their initial development in 2002, there have been several important expansions of the occupancy modeling framework including multi-season models that estimate local extinction and colonization rates, two-species models that deal with false negatives in two species simultaneously, multi-state models that allow response categories beyond just presence and absence, and integrated habitat models that deal with sites that may or may not exist in a given year (e.g., ephemeral ponds). We have also come to better understand some of the pitfalls of occupancy models. The main goals of this workshop are to: 1) Offer a primer to the basic occupancy model and introduction to the free software program PRESENCE; 2) Overview of the range of occupancy models currently available; 3) Offer hands on experience to help get you started with occupancy studies and one-on-one consultations to address questions regarding your specific project. The target audience: Participants are beginners to occupancy analyses but have a basic understanding of regression analysis. To register: http://thesnvb.org/event/2015-meeting-registration/ Please bring your own PC laptop with the latest version of PRESENCE installed (http://www.mbr-pwrc.usgs.gov/software). Otherwise you should be able to pair with someone with a laptop. Contact Michael_Adams@usgs.gov with any questions.
  16. Instructors: Marc Kéry & Jérôme Guélat, Swiss Ornithological Institute Date: 9–11 February 2015 Venue: Universidade Federal de Viçosa, Minas Gerais, Brazil Computers: Bring your own laptop with latest R, JAGS and WinBUGS or OpenBUGS Costs: 1000 Reais (400 US$) This course gives an introduction to Bayesian statistical modeling using BUGS software and then introduces a key class of models for the analysis of species distribution, habitat selection, occurrence and abundance: site‐occupancy models (MacKenzie et al. 2002, 2003; Tyre et al. 2003). Model fitting is shown using the Bayesian BUGS software and the R package unmarked. The course follows the book “Bayesian population analysis using WinBUGS” (Academic Press, 2012) by Kéry & Schaub and the upcoming book “Applied hierarchical models in ecology” (Academic Press, 2015) by Marc Kéry & Andy Royle. See the attached flier for more details. Occupancy Workshop Announcement, Vicosa, 9-11 Feb 2015.pdf
  17. Melanie Colón

    Program R Workshop

    Program R Workshop 9-13 March 2015 The Great Plains Natural Science Society and the Department of Natural Resource Management at South Dakota State University will host a Program R Workshop in Brookings, SD. The 4.5-day workshop will be presented by Dr. Darryl MacKenzie at the Swiftel Center. The workshop will cover many beginning and intermediate level topics and participants will be introduced to various statistical procedures through worked examples. Topics to be covered include: Basic Operators Plotting Functions Arrays and Matrices Descriptive Analysis Basic Statistical Tests Linear Models Generalized Linear Models Simulation Complex plots Registration fee is $650. Please contact Dr. Troy Grovenburg (troy.grovenburg@sdstate.edu) or visit http://www.sdstate.edu/nrm/organizations/gpnss for additional information and registration details.
  18. Modeling Patterns and Dynamics of Species Occurrence The Modeling Patterns and Dynamics of Species Occurrence Workshop will be held at the Swiftel Center in Brookings, SD, 16-20 March 2015. NOTE: The workshop is strictly limited to a set number of registrants. OVERVIEW The presence or absence of a species across a set of landscape units is a fundamental concept widely used in ecology (e.g., species range or distribution, epidemiology, habitat modeling, resource selection probability functions, as a monitoring metric, metapopulation studies, biodiversity, and species co-occurrence). An important sampling issue, however, is that a species may not always be detected when present at a landscape unit. This will result in "false absences" causing parameter estimates to be biased if unaccounted for, possibly leading to misleading results and conclusions, even with moderate levels of imperfect detection. This workshop will cover many of the latest methods for modeling patterns of dynamics of species occurrence in a landscape while accounting for the imperfect detection of the species. Participants will be introduced to available software through worked examples, and there will be special emphasis on aspects of study design. While primarily aimed at the beginner and intermediate level, more experienced researchers will also benefit from attending. Topics to be covered include: single season occupancy models for patterns in species occurrence building predictive models for species occurrence creating maps of species occurrence probabilities, e.g., species distribution maps multiple-season occupancy models for dynamics of species occurrence and changes in distribution important study design considerations sample size determination FORMAT Format for the workshop will be a combination of lectures and exercises. The workshop will start on Monday morning, 8:30 AM, and at 8:00 AM Tuesday-Friday. The workshop will end at noon on Friday. South Dakota State University graduate students wishing to receive credit for the workshop also will need to register for WL792 Tp-Occupancy Modeling (3 credits) for the spring 2015 term. This is a written consent course, so students will need to obtain a signed Registration Authorization form from Dr. Grovenburg. INSTRUCTOR Dr. Darryl MacKenzie, Proteus Consulting Ltd. Darryl is an internationally renowned biometrician, particularly for his work on the development and application of species occurrence models. He has over 15 years experience in applying statistical techniques to ecological and environmental situations, starting at the University of Otago, then progressing to North Carolina State University (based at USGS Patuxent Wildlife Research Center) in 2000, before commencing full-time with Proteus in 2001. Darryl has provided advice on studies for a wide-range of species and enjoys the challenge of combining the statistical theory with the practical realties to develop a pragmatic solution. AGENDA A tentative agenda can be found in the Quick Links box above. Please note that this is a tentative schedule only. COST Registration cost for the 5-day workshop is $850. This fee includes course materials, facilities for the workshop, and morning and afternoon refreshments. All other costs (i.e., travel, lodging, meals, etc.) will be the responsibility of the workshop participant. REGISTRATION Please complete the registration form (available in the Quick Links box above) and forward with payment to: Dr. Troy Grovenburg Department of Natural Resource Management South Dakota State University Box 2140B, NPS 138 Brookings, SD 57007 Completed registration forms paying with credit card can be emailed to Dr. Troy Grovenburg. HOTEL ACCOMMODATIONS We have arranged for a block of rooms at state rates at the Fairfield Inn &Suites under SDSU Dept. of Natural Resources. http://www.sdstate.edu/nrm/organizations/gpnss Fairfield Inn &Suites 3000 LeFevre Drive Brookings, SD 57006 605-692-3500
  19. APPLIED BAYESIAN DATA ANALYSIS USING STAN OCTOBER 24 – 25, 2014 Daniel Lee, Department of Statistics, Columbia University, New York Michael Betancourt, Department of Statistical Sciences, University College London Location: Swiss Ornithological Institute, Sempach, Switzerland Workshop leaders Daniel Lee and Michael Betancourt are members of the core development team of STAN. Both are excellent software engineers. They work with Prof. Andrew Gelman on applied Bayesian statistics, modelling and software development. Daniel is doing research on Monte Carlo Markov chains (MCMC) and Bayesian analyses (http://linkd.in/12xLZYK). Michael studies the mathematical foundations of Bayesian methods in order to motivate efficient practical techniques (http://www.homepages.ucl.ac.uk/~ucakmjb/). Outline Stan is an open-source, general Bayesian inference tool with interfaces in R, Python, Matlab, and the command line. Stan was developed to address the speed and scalability issues of existing Bayesian inference tools, BUGS and JAGS, while maintaining the ability to write models easily through a statistical language. The default algorithm is an auto-tuned variant of Hamiltonian Monte Carlo, which is a more efficient MCMC algorithm for general problems than Gibbs sampling or random-walk Metropolis Hastings. This exciting new tool is now open to everybody and has the potential to be very useful in the daily life of a data analyst that use comparably complex models in a Bayesian framework. The course will start with a short introduction to Bayesian inference and how Stan works. However, the main goal of the course is the practical application of Stan to different models starting with ordinary linear regression and ending with more complex models such as generalized linear mixed and hierarchical models. Download the attached course announcement for full details and information on how to registration. course_announcement_STAN 2014.pdf
  20. Intermediate-level workshop Bayesian population analysis using BUGS and JAGS Instructors: Marc Kéry & Michael Schaub, Swiss Ornithological Institute Date: 22–26 September 2014 Venue: College of Forestry and Conservation, University of Montana, Missoula Computers: Bring your own laptop with latest R and WinBUGS, JAGS or OpenBUGS Costs: 603 USD This course introduces many key models used in the analysis of distribution, abundance and survival, as well as their spatial and temporal patterns, in a Bayesian analysis framework. It closely follows our book “Bayesian population analysis using WinBUGS” (Academic Press, 2012). We use programs R and WinBUGS and JAGS to fit and understand some of the most widely used models for the analysis of animal and plant populations. These include: Poisson generalized linear mixed model (e.g., Link and Sauer 2002) Closed-population models for population size Cormack-Jolly-Seber models for estimating survival probabilities Multistate capture-recapture models for estimating survival and transition rates Integrated population models (Besbeas et al. 2002; Schaub et al. 2007) Site-occupancy models (MacKenzie et al. 2002, 2003) for the analysis of species distributions Binomial mixture models (Royle 2004) for the analysis of distribution and abundance with full accounting for observation error In this intermediate-level workshop 3/4 of the time are spent on lecturing and 1/4 on solving exercises. No previous experience with program WinBUGS, or Bayesian statistics, is assumed. However, a good working knowledge of modern regression methods (ANOVA, ANCOVA, generalised linear models) and of program R is required. Please bring your own laptops and install a recent version of R plus WinBUGS 1.4., with the upgrade patch and the immortality key decoded (in this order). Alternatively, JAGS and OpenBUGS work fine for 99% of what we do. Please apply here (www.umt.edu/sell/extended/courses/populationanalysis), describing your background and knowledge in statistical modeling, R and WinBUGS/OpenBUGS/JAGS, by 8 August 2014 at the latest. Workshop invitations will be sent out before 31 August 2014.
  21. Several workshops will be held at the 21st annual conference of The Wildlife Society to be held October 25-30, 2014 in Pittsburgh, Pennsylvania, USA. Many of these may be of interest to people working with birds. This is a preliminary list. They will be adding more sessions through July as each one is confirmed. All workshops will be full day sessions held on Saturday, Oct. 25, unless noted otherwise. Human-Carnivore Interactions and Management in the Eastern USA Estimating Resource Selection Using R Feedback for Student Reviewers of TWS Journals (Workshop scheduled for Tuesday, Oct. 28, half day session) Conservation Affairs and Subunit Leadership Workshop Animal Trapping Techniques for Researchers and Managers Flipped Learning in Natural Resources: How to Get Started (Half Day Workshop) Wildlife Data Management Fundamentals Urban Conservation in a Revitalized ‘Steel City’ Analyses of Wildlife Spatial Behaviors with T-LoCoH (Half Day Workshop) Model-based Inference for Rare, Clustered Populations: Dealing with Excess Zeroes Behind the Scenes of Scientific Publication and Critical Review 3.0 Research and Management of Novel Infectious Diseases in Reptiles and Amphibians The current list of workshops can be found here: http://wildlifesociety.org/workshops/ The meeting website is here: http://wildlifesociety.org/
  22. Instructors: Marc Kéry & Andy Royle, Swiss Ornithological Institute & USGS Patuxent Wildlife Research Center Date: 13–15 August 2014 Venue: Cornell University, Ithaca New York Computers: Bring your own laptop with latest R/unmarked and WinBUGS/OpenBUGS/JAGS Course fee: USD$550 (normal rate), USD$350 (student rate). The analysis of abundance and of the dynamic rates governing their change lies at the core of ecology and its applications such as conservation and wildlife management. Metapopulation designs, where repeated measurements of some quantity such as counts or distance measurements are made at a collection of sites, underlie a vast number of studies in ecology and management. Inference about such data is conveniently based on hierarchical models, where one submodel describes the underlying true state of the process (e.g., abundance at a site) and another submodel describes the observation process that connects the true state to the observations. In recent years, much progress has been made in the development of methods and computer algorithms to fit hierarchical models. In particular, Bayesian statistical analysis and the general-purpose Bayesian software package WinBUGS have opened up entirely new possibilities for ecologists to conduct complex population analyses. On the other hand, the R package unmarked contains a wealth of functions to analyse hierarchical models of abundance in a frequentist mode of inference. This course introduces key hierarchical models used in the analysis of abundance and its spatial and temporal patterns, and provides both Bayesian and the frequentist methods for their analysis. We use package unmarked in R as well as WinBUGS and JAGS to fit and understand some of the most widely used models for the analysis of animal and plant populations. These include: binomial (Royle 2004) and multinomial N-mixture models (e.g., removal, double-observer) for the analysis of distribution and abundance, CAR modeling of spatial autocorrelation in abundance hierarchical distance sampling models (e.g., Royle et al. 2004, Conn et al. 2012), dynamic models of abundance (Royle & Dorazio 2008; Dail & Madsen 2011) This is an intermediate-level workshop with about 80% spent lecturing and 20% on solving exercises. A working knowledge of modern regression methods (GLMs, mixed models) and preferentially of program R or another programming language is required. No previous experience with program WinBUGS is assumed (but, of course, it is beneficial). Please bring your own laptops and install a recent version of R, with the latest version of package unmarked, plus JAGS and/or WinBUGS 1.4., with the upgrade patch and the immortality key decoded (in this order, only for the latter). OpenBUGS should work for most of what we do. Please apply here by 1 July 2014: https://docs.google.com/forms/d/1rabj8gKVm37TVnFyKqsi4lR0CMfxL9DDMh3o--GRpKA/viewform
  23. Applied hierarchical modeling in ecology using BUGS and R: site-structured models for abundance (Workshop) Instructors: Marc Kéry & Andy Royle, Swiss Ornithological Institute & USGS Patuxent Wildlife Research Center Date: 16–18 June 2014 Venue: USGS Patuxent Wildlife Research Center, Laurel, Maryland Computers: Bring your own laptop with latest R/unmarked and WinBUGS/OpenBUGS/JAGS Course fee: USD$450 (normal rate), USD$300 (student rate), 2 wild cards available. The analysis of abundance and of the dynamic rates governing their change lies at the core of ecology and its applications such as conservation and wildlife management. Metapopulation designs, where repeated measurements of some quantity such as counts or distance measurements are made at a collection of sites, underlie a vast number of studies in ecology and management. Inference about such data is conveniently based on hierarchical models, where one submodel describes the underlying true state of the process (e.g., abundance at a site) and another submodel describes the observation process that connects the true state to the observations. In recent years, much progress has been made in the development of methods and computer algorithms to fit hierarchical models. In particular, Bayesian statistical analysis and the general-purpose Bayesian software package WinBUGS have opened up entirely new possibilities for ecologists to conduct complex population analyses. On the other hand, the R package unmarked contains a wealth of functions to analyse hierarchical models of abundance in a frequentist mode of inference. This course introduces key hierarchical models used in the analysis of abundance and its spatial and temporal patterns, and provides both Bayesian and the frequentist methods for their analysis. We use package unmarked in R as well as WinBUGS and JAGS to fit and understand some of the most widely used models for the analysis of animal and plant populations. These include: binomial (Royle 2004) and multinomial N-mixture models (e.g., removal, double-observer) for the analysis of distribution and abundance, CAR modeling of spatial autocorrelation in abundance hierarchical distance sampling models (e.g., Royle et al. 2004, Conn et al. 2012), dynamic models of abundance (Royle & Dorazio 2008; Dail & Madsen 2011) This is an intermediate-level workshop with about 80% spent lecturing and 20% on solving exercises. A working knowledge of modern regression methods (GLMs, mixed models) and preferentially of program R or another programming language is required. No previous experience with program WinBUGS is assumed (but, of course, it is beneficial). Please bring your own laptops and install a recent version of R, with the latest version of package unmarked, plus JAGS and/or WinBUGS 1.4., with the upgrade patch and the immortality key decoded (in this order, only for the latter). OpenBUGS should work for most of what we do. Please apply here by 1 May 2014: https://docs.google.com/forms/d/1Rn9kHWNTa_SwxW_0nGP2qzA6id4aQSo5Cl7AupnfnmY/viewform
  24. 1st Annual Graduate Workshop on Environmental Data Analytics July 28 – August 1, 2014 National Center for Atmospheric Research, Boulder CO. Applications due *March 17, 2014*. Travel and lodging fellowships are available. Workshop website: www2.image.ucar.edu/event/env-analytics This workshop series is designed to help prepare the next generation of researchers and practitioners to work within, and contribute to, the data-rich era. Each workshop will bring together graduate students and senior scientists in environmental statistics and related fields to explore contemporary topics in applied environmental data modeling. The workshop will consist of computing and modeling tutorials, presentations from graduate student participants, and several invited talks from established leaders in environmental data modeling. Tutorials and invited talks will address useful ideas and tools directly applicable to student participants' current and future research. To facilitate the exchange of information and shared learning, student talks should focus on modeling or computing challenges faced in their research. Workshop participants will: Develop new modeling and computing skills through hands-on analyses and lectures lead by quantitative scientists Share research findings and explore open questions within and at the interface of environmental, ecological, climatic, and statistical sciences Learn about the National Center for Atmospheric Research (NCAR) and National Ecological Observatory Network (NEON) data resources that can facilitate scientific discovery Workshop tutorials: Climate data analytics -- Doug Nychka, Institute for Mathematics Applied to Geosciences, NCAR. Bayesian statistics and Monte Carlo integration strategies -- Jennifer Hoeting, Department of Statistics, Colorado State University. Hierarchical models for massive spatio-temporal data analysis -- Sudipto Banerjee, Division of Biostatistics, University of Minnesota. Andrew Finley, Department of Forestry, Michigan State University. Please visit the workshop website for additional information. Funded by the National Science Foundation, Division of Emerging Frontiers and the National Center for Atmospheric Research.
  25. A Workshop will be held in the Centre for Research into Ecological and Environmental Modelling (CREEM), University of St Andrews, from 2nd - 4th June 2014. Integrated nested Laplacian approximation (INLA) facilitates the fitting of a large range of complex statistical models by dramatically reducing computation time. This three day workshop discusses how spatial models may be fitted with INLA using the package R-INLA. We discuss a wide range of different types of spatial models, in particular complex spatial models, spatial point process models and hierarchical models. We will also introduce the participants to flexible spatial modelling methods using the SPDE approach to spatial modelling and provide an outlook to recent developments. Data examples will mainly be related to ecological studies but the course is equally relevant to researchers from other fields and in-depth knowledge of ecology is not expected. Teaching will be a combination of lectures, computer sessions and discussions. Participants are encouraged to bring their own data set but this is not a requirement. The programme (lectures and practicals) will include: a general introduction to integrated nested Laplacian approximation ( INLA) how to fit simple (non-spatial models) in R- INLA an overview of types of spatial models and examples examples of simple spatial models in R-INLA more complex spatial models, joint models, marked point patterns, models with multivariate RFs examples of complex spatial models in R-INLA There will be ample opportunity for: hands-on practical exercises feedback/ questions and answers time for discussion of participants' data sets in groups Participants are encouraged to bring their own data set but this is not a requirement. For more information about the workshop content please contact Janine Illian, email:janine@mcs.st-and.ac.uk Instructors Janine Illian, (University of St. Andrews) Sigrunn Sørbye, (University of Tromsø, Norway) Daniel Simpson, (Norwegian University of Science and Technology) Places will be filled on a first-come, first served basis on the receipt of a completed registration form and payment in full. A registration form is available here: http://creem2.st-andrews.ac.uk/registration-and-fees/ Please contact: Rhona Rodger Centre for Research into Ecological and Environmental Modelling University of St Andrews The Observatory, Buchanan Gardens St. Andrews Scotland KY16 9LZ Tel:+44 1334 461842 Fax: +44 1334 461800 Email: rmr5@st-andrews.ac.uk
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