• Offered by Fenner School of Environment and Society
  • ANU College ANU Joint Colleges of Science
  • Course subject Environmental Science
  • Areas of interest Earth and Marine Sciences, Environmental Science , Forest Science and Management , Resource and Environmental Management , Biodiversity Conservation
  • Academic career Undergraduate
  • Course convener
    • AsPr Cristopher Brack
  • Mode of delivery In Person
  • Co-taught Course ENVS6202
  • Offered in Winter Session 2017
    See Future Offerings

This is an intensive course offered on an annual basis. The course will be delivered from 19 - 30 June 2017.

Evidence based policy, management and research require fundamental understanding and skills in environmental measurement, modelling and monitoring. This course provides grounding in the statistical and ecological theories that underpin environmental quantification. It also develops the essential quantitative skill-set that environmental scientists, natural resource managers and policy makers need to master.

Measurement theory, sampling, allometry, modeling and assessing environmental function and change will be explored during the course. Field-based case studies, especially long-term ecological sites and the ANU Research Forest but also including a range of different applications across the biophysical and social sciences, will support integration of lecture, workshop and reading material as well as providing examples of leading research and general application.

Workshops, including short field visits, will focus on specific examples of measurement and the impact of instrument selection and use; experimental design and implicit consequences; common and advanced analysis techniques including regression modeling; and storage and presentation of raw and processed data for future understanding and re-analysis. A range of experts from organisations including CSIRO and public service departments will share their knowledge and perspectives with students during the course.

Specific examples of applications of quantitative tools and systems explored and critiqued may include:
* Biometric/HabitatHectares/McElhinney indices for environmental impact assessment;
* BushTender/ReefTrust/SavingOurSpecies for benefit:cost metrics
* Atlas of Living Australia for collection and presentation of presence only data;
* National Carbon Assessment Tool for forest, woodland and farm biomass
* Landscape Functional Analysis
* Plot and plotless, equal and unequal probability samples

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Demonstrate a conceptual understanding of measurement and modeling approaches in ecological studies.

2. Apply concepts and methods of quantitative analysis in the context of environmental data, with special reference to experimental design and and monitoring environmental dynamics and change.

3. Communicate quantitative outputs and data collection and analysis strategies to a scientific and/or management community.

Indicative Assessment

1. Computer-based assignments to demonstrate student learning of underlying theories and practice of quantification. These quizzes will draw extensively from workshops and field-trips (2-4 quizzes, 25%) (LO 1,2)

2. A major report on the quantification of a biome or case study area to meet specified objectives. Students will justify their approach and outline a monitoring approach to provide quantitative evidence of system dynamics or change as appropriate. This assessment requires students to demonstrate ability to integrate knowledge of measurement, modeling and monitoring, in the format of a conference presentation (10%) and 2500-word report. (40%) (LO 1,2,3)

3. Computer-based test (25%) (LO 2,3)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

A total of 130 hours, including 60 contact hours comprising lectures, tutorials, practicals and field trips and up to 70 hours of self study.

Requisite and Incompatibility

To enrol in this course you must have successfully completed 48 units including ENVS1003 and either ENVS1001 or ENVS1004 or EMSC1006. You are not able to enrol in this course if you have successfully completed ENVS2009 or ENVS6202.

Preliminary Reading

Lindenmayer, D.B. and Likens, G.E. 2010. Effective Ecological Monitoring. CSIRO Publishing.

Indicative Reading List

Forest Measurement and Modeling, C.L.Brack (http://fennerschool-associated.anu.edu.au/mensuration/home.htm)

Assumed Knowledge

Prior completion of ENVS1003 Introduction to Environmental and Social Research and at least one of ENVS1001 Environment and Society: Geography of Sustainability, ENVS1004 Australia's Environment or EMSC1006 The Blue Planet is strongly recommended.

Majors

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3444
International fee paying students
Year Fee
2017 $4590
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Winter Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
6661 19 Jun 2017 21 Jul 2017 21 Jul 2017 31 Jul 2017 In Person

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