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< 2023 >
February
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   1
  • All day
    02/01/2023

    Dates: Begins March 1, 2023

    A good understanding of sampling and experimental design techniques is vital when planning a research study in ecology and wildlife management. Good design leads to effective use of research money, time and effort, whereas poor design can lead to a study of little use, and hence a waste of these resources. Sampling techniques are useful when planning an observational study, such as a survey, whereas experimental design techniques are of use when planning an experiment. In the sampling modules, we will cover random vs systematic sampling, stratification, hierarchical sampling, use of covariates, trend analysis, and introduce specialized techniques such as capture-mark-recapture and distance sampling. In the experimental design modules, you will learn about randomization, replication and pseudo-replication, controls, blocking, use of covariates, factorial treatments, before-after control-impact (BACI) designs, and trend analysis. In both sections of the course we will show you how to perform power/precision analysis in order to assess what sample sizes might be required for the study to provide useful information.
    You have two options when enrolling in this course:
    (1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution or you would like to work with an instructor on a dataset from school or work.

    Early bird course fee (ends February 1): $500 professional / $400 student

    Regular course fee (after February 1): $550 professional / $450 student

    (2) No instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

    Early bird course fee (ends February 1): $375 professional / $275 student

    Regular course fee (after February 1): $400 professional / $300 student

  • 3:00 PM-4:00 PM
    02/01/2023

    The 2022-2023 Forests + Climate Learning Exchange Series (LES), co-hosted by the Forest Carbon and Climate Program (FCCP) and the Society of American Foresters (SAF), invites academics, practitioners, policymakers, and other experts to present innovative and important research, projects, and strategies relating to forest carbon. The series aims to develop and expand forest stakeholder knowledge and perspectives on forest carbon science, management, and strategy.

    The events take place the first Wednesday of each month at 3 pm Eastern. Recordings will be posted below following the event.

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  • All day
    02/05/2023

    Full instructor support

    Spring early bird course fee (ends February 5): $600 professional / $500 student

    Spring regular course fee (after February 5): $650 professional / $550 student

    No instructor support

    Winter regular course fee: $400 professional / $300 student

    Spring early bird course fee: (ends February 5): $350 professional / $250 student

  • All day
    02/05/2023

    Explore techniques and procedures required for spatially explicit data analysis in forest resources, wildlife, and natural resources applications. The course will cover methods in image interpretation, land cover mapping, forest monitoring (change detection), landscape metrics and integration of raster and vector data using QGIS. The first two modules are an introduction to remote sensing and will explore methods for finding the right satellite image, downloading, and processing an image from the internet. The second half of the course explores methods for classifying a multispectral image into land use classes and then assessing the accuracy of that classification. Techniques in image interpretation such as vegetation indices and change detection will also be covered.
    You have two options when enrolling in this course:
    (1)  Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution. It is highly RECOMMENDED that you select this option if you would like to work with an instructor on a dataset from school or work.
    DATES: March 6-31, 2023 (with access to course through May 28, 2023)

    Early bird course fee (ends Feb 5): $550 professional / $450 student
    Regular course fee (after Feb 5): $600 professional / $500 student

    (2)  NO instructor support. Sign up anytime and learn at your own pace through the fall as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.
    DATES: Access course from March 6 – May 28, 2023

    Early bird course fee (ends Feb 5): $400 professional / $300 student
    Regular course fee (after Feb 5): $450 professional / $350 student

  • All day
    02/05/2023

    Dates: March 1 – May 31, 2023

    Research and management questions often focus on obtaining robust (i.e., unbiased and precise) estimates of various demographic parameters about wildlife populations. Estimates of abundance, density, population growth, state transition rates, and vital rates can provide valuable insights into changes to population status as well as their drivers. Among the most popular and diverse approaches to estimating such parameters includes a suite of sampling and analytical methods known as capture-mark-recapture (or several similar terms). This class will focus on providing a solid foundation to using these techniques to answer a broad range of ecological and management-related questions. We emphasize asking good questions, identifying appropriate sampling methods rooted in animal behavior and ecology, and choosing the right analytical techniques. With these in mind, we will analyze example datasets using both ‘canned’ (MARK) and command-line software (R) during online lectures and practical exercises.
    You have two options when enrolling in this course:
    (1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution or you would like to work with an instructor on a dataset from school or work.

    Early bird course fee (ends February 5): $500 professional / $400 student
    Regular course fee (after February 5): $550 professional / $450 student

    (2) No instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

    Early bird course fee (ends February 5): $375 professional / $275 student
    Regular course fee (after February 5): $400 professional / $300 student

  • All day
    02/05/2023

    Dates: March 6 – April 14, 2023 (live meetings on Wednesdays at 1:00 EST)

    Effective science communication has long held the power to reshape our world by driving changes in policy and public opinion. As society struggles with pandemic effects, anthropogenic climate change, and dwindling biodiversity, there is an acute need for scientist–communicators who can effectively convey the spectacular power of research to address these obstacles. In this course, early-career researchers will learn skills for high-impact, immediate engagement with readers, including decision-makers, colleagues, and members of the lay public. Unlike traditional writing courses, this course is focused on capturing audience attention in concrete ways that compel action, using common professional formats such as op-eds, memoranda, press releases, one-pagers, and blog entries. The workshop-driven program also includes instruction on publishing mechanics, covering topics such as pitching your work to editors, establishing an online presence, and achieving proficiency with graphic design fundamentals.

    This online course consists of pre-recorded lectures, each of which has an associated short writing assignment. Students will meet live each week with the instructor for a small-group workshop in which they will share and critique each other’s work.

    Early bird course fee (ends February 5): $500 professional / $400 student

    Regular course fee (after February 5): $550 professional / $450 student

  • All day
    02/05/2023-05/01/2023

    NO instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

    Dec 5 – Feb 24: $400 professional / $300 student
    March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student
    June 5 – Aug 25 (Early bird ends May 1, 2023): $350 professional / $250 student
    Sept 5 – Nov 22 (Early bird ends August 6, 2023): $350 professional / $250 student

  • All day
    02/05/2023

    Instructor support

    Spring early bird course fee (ends Feb 5): $500 professional / $400 student
    Spring regular course fee (after Feb 5): $550 professional / $450 student

    No instructor support

    Winter course fee: $400 professional / $300 student
    Spring early bird course fee (ends Feb 5): $350 professional / $250 student

  • All day
    02/05/2023

    NO instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

    Dec 5 – Feb 24: $400 professional / $300 student
    March 6 – May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student
    June 5 – Aug 25 (Early bird ends May 1, 2023): $350 professional / $250 student
    Sept 5 – Nov 22 (Early bird ends August 6, 2023): $350 professional / $250 student

  • All day
    02/05/2023

    Instructor support

    Course fee: $550 professional / $450 student

    No instructor support

    Spring early bird course fee (ends Feb 5): $400 professional / $350 student

  • All day
    02/05/2023

    Full instructor support

    Early bird course fee (ends February 5): $500 professional / $400 student

    Regular course fee (after February 5): $550 professional / $450 student

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  • All day
    02/27/2023

    Dates: Course #1 : February 27 – March 13, 2023

    Scent detection dogs are increasingly used in conservation research to improve the frequency or probability of finding biological samples or focal organisms, including rare or cryptic species. We offer a series of three short courses (Course #1-2 online; & Course #3 field) designed to provide an appreciation for this emerging field and the science behind it, while presenting real-world examples, logistics, and considerations underscoring the potential benefits of this approach.
    Course #1: Intro to Working with Conservation Canines
    Ideal for students, researchers, and others new to learning theory, working dogs, and scent detection training. Using an online platform to illustrate key concepts via lectures with video clips and interactive discussions, it provides an overview of scent detection applications, animal training basics, general principles of scent detection training, and dog selection considerations.
    Students will take the course largely at their own pace over a two-week period. Activities for the online course consist of pre-recorded lectures, synchronous and asynchronous mid-week discussions based on articles from the primary and secondary literature, as well as weekly real-time discussions around themed topics and applied training scenarios, and an online Q&A forum for other professional development and related training questions.

    Early bird course fee: $500 professional / $400 student

    Regular course fee: $550 professional / $450 student

     
    DATES:
    Course #1: February 27 – March 13, 2023
    Course #2: March 13-27, 2023
    (Field Course TBD)

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