Data Analysis IIIB: Environmental Sampling and Monitoring using R (CSP4230)
Course Dates: December 13-17, 2010
Location: National Conservation Training Center (NCTC)
Course Description/Course Overview: This course will develop the
participant’s skills needed to monitor species trends and distributions,
and assess changes due to management actions or impacts in the environment.
The design aspects used in class will address the ecological and predictive
capacity of prospective approaches, with the overall aim of increasing the
predictive power of the analyses and reducing the error associated with
modeling the environment. The overall goal of the course is to familiarize
the participants with the statistical sampling concepts and definitions,
and the “where”, “when”, and “how” of sampling. The six primary objectives
of the course will include: site selection designs, stratification, panel
rotation designs, field methods and their influences on detectability,
status estimation, and trend estimation.
Data Analysis IIIB course will explore the principles and application of
analytical approaches and design techniques important to the management of
threatened and endangered plant and animal populations. Emphasis will also
be placed on the development of design and analytical skills, and the
estimation of status and trends. The course is designed for the students to
learn the concepts and techniques through lectures, exercises, and working
with data sets. The aim of these exercises is to familiarize students with
the mathematical notation, statistical approaches, and modeling techniques
frequently used in designing and implementing field studies.
Concepts and techniques covered in class will include: (1) haphazard and
convenience sampling; (2) terminology; (3) site selection and variable
probability sampling; (4) stratification and “soft” stratification using
GRTS: (5) panel rotation designs and concept of connectedness; (6) field
methods and using repeat visits for presence; (7) bootstrapping and
computer simulation; (8) status estimation using quadrat and distance
methods; and (9) trend estimation for both abrupt and long-term trends.
Instructors: Dr. Timothy Robinson (University of Wyoming, Laramie
Dr. Lyman McDonald (Western Ecosystem Technology, Inc.)
Who Should Attend: The course is designed for individuals who are
competent in basic statistics and are familiar with linear and logistic
regression, and how to use an ANOVA table. Students should be interested
in developing and/or strengthening their ability to perform reliable and
unbiased analyses. We are targeting FWS biologists and others whose job
responsibilities include the assessment and analysis of population or
habitat data or trends in populations for a variety of activities or
Course Length: 4 ½ days/36 hours
Course Objectives: The objective of this course is to develop critical
monitoring and design skills, based upon reliable analytical techniques
that are consistent with statistical sampling theory and field
implementation; whereby, participants will be able to assess and monitor
the distribution of plant and animal species based upon both abiotic and
biotic attributes of the species and its environment.
Cost: There is no tuition fee for FWS, NPS, and BLM personnel. Tuition is
$1150 for other participants.
How to Apply: Register online at https://doilearn.doi.gov/. Non-DOI
employees download application at http://training.fws.gov/learn/courses.htm
Closing Date for Applications: November 17, 2010
Questions: Please contact Joe W. Witt ([log in to unmask]) or So Lan Ching (
[log in to unmask]), Division of Conservation Science and
Policy, at 304/876-7447 or 304/876-7771.