- Code ENVS6202
- Unit Value 6 units
- 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
This is an intensive course offered on an annual basis. The course will be delivered from 24 June - 5 July 2019.
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. Students will also research case studies relevant to their postgraduate programs or interests.
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
Upon successful completion, students will have the knowledge and skills to:On satisfying the requirements of this course, students will have the knowledge and skills to:
1. Demonstrate advanced conceptual understanding of measurement and modeling approaches in ecological studies;
2. Critically apply advanced concepts and methods of quantitative analysis in the context of environmental data, with special reference to experimental design and monitoring environmental dynamics and change;
3. Effectively critique and communicate quantitative outputs and data collection/analysis strategies to a scientific/management community.
Other InformationAs required please contact the Fenner School of Environment & Society at firstname.lastname@example.org to request a permission code to enrol in this
Indicative Assessment1. Computer-based assignments to demonstrate student learning of underlying theories and practice of quantification. These quizzes will draw extensively from workshops and field-trips (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. A critique of an environmental quantification system or sub-system (e.g. monitoring design, analysis system or retrieval communication system) (25%) [LO 1,2,3].
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WorkloadA 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
Preliminary ReadingLindenmayer, D.B. and Likens, G.E. 2010. Effective Ecological Monitoring. CSIRO publishing.
Forest Measurement and Modeling / C.L.Brack (http://fennerschool-associated.anu.edu.au/mensuration/home.htm)
Assumed KnowledgeKnowledge and/or professional experience equivalent to ENVS1003 Introduction to Environmental and Social Research is strongly recommended.
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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