Unit outline_

WILD2001: Measuring Biodiversity

Semester 1, 2026 [Normal day] - Camperdown/Darlington, Sydney

Biodiversity is defined as the 'variability among living organisms from all sources including... diversity within species, between species and of ecosystems' [UN 1992 Convention on Biological Diversity]. Yet, the ongoing biodiversity crisis is often quantified by the loss of species, with a disproportionate focus on conserving individual species. This unit introduces students to the importance of assessing diversity at different scales, from ecosystems to species and their underlying genetic diversity, when designing conservation programs. Knowledge, understanding and practice in detecting, identifying, and differentiating both flora and fauna at these different scales is fundamental for anyone wanting a career in conservation biology or an associated discipline. In this unit, students will develop practical skills to assess floral and faunal diversity at these three scales using contemporary methodologies. They will develop a working knowledge of ecological and genetic sampling approaches and the use of relevant indexes to express diversity at different scales. These measures of diversity will be framed within the context of conservation policy and ethics throughout. The unit will be taught by experts and practitioners of wildlife conservation from the University of Sydney and Taronga Conservation Society Australia affording students the opportunity to gain in-depth knowledge of theory and practice from both Institutions.

Unit details and rules

Academic unit Life and Environmental Sciences Academic Operations
Credit points 6
Prerequisites
? 
12 credit points of [AVBS1XXX or BIOL1XXX or WILD1XXX] or (6 credit points of [AVBS1XXX or BIOL1XXX or WILD1XXX] and 6 credit points of [ENVX1002 or SCIE1001 or DATA1X01])
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Ros Gloag, ros.gloag@sydney.edu.au
The census date for this unit availability is 31 March 2026
Type Description Weight Due Length Use of AI
Written exam Final exam
Written final exam based on all modules
30% Formal exam period 2 hours AI prohibited
Outcomes assessed: LO1 LO2 LO3 LO4 LO7 LO8
Out-of-class quiz Early Feedback Task Early Feedback Task
Online quiz relating to module 1 #earlyfeedbacktask
5% Week 02
Due date: 08 Mar 2026 at 23:59
30 mins AI allowed
Outcomes assessed: LO1 LO2
Presentation group assignment Biodiversity assessment technique instructional video
Creation of a small instructional video done in groups
10% Week 05
Due date: 23 Mar 2026 at 23:59
3-5mins AI allowed
Outcomes assessed: LO1 LO2 LO5 LO6 LO8
In-person practical, skills, or performance task or test Demonstration of biodiversity assessment skills
Demonstrating the capacity to perform a series of practical skills related to biodiversity assessments and fieldwork
15% Week 08 approx. 2 hours across the field trip AI prohibited
Outcomes assessed: LO2 LO3 LO4
Written work group assignment Measuring Biodiversity Report
Group assessment: Students in groups will write a report that summarises, analyses and interprets biodiversity assessments performed during the Warrah fieldtrip.
20% Week 11
Due date: 12 May 2026 at 23:59
3000 words AI allowed
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Written work Invertebrate sampling report
Short report that tests hypotheses about impact of different sampling techniques on invertebrates.
20% Week 13
Due date: 25 May 2026 at 23:59
1500 words AI allowed
Outcomes assessed: LO2 LO3 LO4 LO5 LO8
group assignment = group assignment ?
early feedback task = early feedback task ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

 

  • Early feedback task (5%): Students will do a short online quiz and upload an Excel spreadsheet that demonstrates that they understand how to record biodiversity data in a spreadsheet following tidy data principles. 
  • Biodiversity assessment technique instructional video (10%): Small groups will design, film and edit a short instructional video how to use one particular technique for assessing biodiversity. 
  • Skills based assessment (15%): A series of skill-based competencies will be assessed throughout the fieldtrip. Students will  need to demonstrate how to perform a series of skills relating to assessing series biodiversity and fieldwork techniques.
  • Measuring Biodiversity from Warrah Fieldtrip report (20%): In groups, you will write a report that assesses the biodiversity impact of planned development based on the data you collect on your Warrah Field trip. You will need to include maps produced with govenment websites, tables summarising results of biodiversity assessments, graphs that compare current to historical data records and a discussion addressing spatial variation, bias, temporal variation and appropriateness of methods used. 
  • Invertebrate sampling report (20%): You will produce a short, individually written report that assesses your capacity to compare the impact of different sampling techniques on the types of invertebrates caught, and produce maps showing trap deployment location made in GIS. 
  • Exam (30%): The exam will cover all material in the unit from both lectures and practical classes.   If a second replacement exam is required, this exam may be delivered via an alternative assessment method, such as a viva voce (oral exam). The alternative assessment will meet the same learning outcomes as the original exam. The format of the alternative assessment will be determined by the unit coordinator.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

At HD level, a student demonstrates an aptitude for the subject and a well-developed understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to students who demonstrate the ability to apply their subject knowledge and understanding to produce original solutions for novel or highly complex problems and/or comprehensive critical discussions of theoretical concepts.

Distinction

75 - 84

At DI level, a student demonstrates an aptitude for the subject and a well-developed understanding of the units’ material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply their subject knowledge and understanding of the subject to produce good solutions for challenging problems and/or a reasonably well-developed critical analysis of theoretical concepts.

Credit

65 - 74

At CR level, a student demonstrates a good command and knowledge of the unit material. A ‘Credit’ reflects solid achievement and is awarded to a student who has a broad general understanding of the units’ material and can solve routine problems and/ or identify and superficially discuss theoretical concepts.

Pass

50 - 64

At PS level, a student demonstrates proficiency in the material. A ‘Pass’ reflects satisfactory adequately referencing the original source of the work.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 L1: Introduction to WILD2001 Lecture (1 hr)  
L2: Generating Hypotheses to assess biodiversity Lecture (1 hr)  
P1: BioBlitz & Essential Tools Practical (3 hr)  
Week 02 L3: Species concepts and Basics on sampling and collecting Lecture (1 hr)  
L4: Note-taking, journaling, and terminology I Lecture (1 hr)  
P2: Note-taking, journaling, and terminology II Practical (3 hr)  
Week 03 L5: Sampling Soil + plants I Lecture (1 hr)  
L6: Sampling plants II Lecture (1 hr)  
P3: Plant ID - I Practical (3 hr)  
Week 04 L7: Sampling marine biodiversity Lecture (1 hr)  
FT1: Fieldtrip 1 - Rocky shore Practical (3 hr)  
Week 05 L8: Sampling small mammals Lecture (1 hr)  
L9: Sampling terrestrial mammals Lecture (1 hr)  
P4: Sampling vertebrates - Transects Practical (3 hr)  
Week 06 L10: Student Film Festival Lecture (1 hr)  
Week 07 L11: Sampling fungal biodiversity Lecture (1 hr)  
L12: Sampling reptiles and amphibians Lecture (1 hr)  
P5: Habitat assessment Practical (3 hr)  
Week 08 L13: Plant community types Lecture (1 hr)  
FT2: Warrah Field Trip Fieldwork (8 hr)  
Week 09 L14: Warrah Fieldtrip debrief 1 Lecture (1 hr)  
L15: Sampling invertebrates Lecture (1 hr)  
P6: Sorting and identifying invertebrates Practical (3 hr)  
Week 10 L16: Introduction to marine ecosystems and microbiomes Lecture (1 hr)  
L17: Maps and remote sensing Lecture (1 hr)  
P7: GIS tutorial Practical (3 hr)  
Week 11 L18: Genetics diversity foundations Lecture (1 hr)  
L19: Genetics sampling design and collection Lecture (1 hr)  
P8: Genetics techniques Practical (3 hr)  
Week 12 L20: Measuring population genetic diversity Lecture (1 hr)  
L21: Drivers of genetic diversity change Lecture (1 hr)  
P9: Interpreting and analysing genetic data Practical (3 hr)  
Week 13 L22: Genetic diversity and conservation practice Lecture (1 hr)  
L23: Unit wrap-up Lecture (1 hr)  
P10: Royal Botanic Gardens Prac Practical (3 hr)  

Attendance and class requirements

Lectures, practical and field trips have compulsory attendance. Many practicals and fieldwork will be directly related to assessable components of the course. We have designed lectures to be interactive and many are being delivered by experts in the field which is why attendance is compulsory. 

On Fridays, we will have many of our lectures and practicals at either Taronga Zoo or off-campus. Please see your timetable and Canvas for weekly details. 

There is a compulsory field day/trip in week 8 at Crommelin Field Station ("Warrah"), Pearl Beach where students will be assessed on practical field skills. 

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. Evaluate the complexities of assessing diversity at different levels from theoretical and practical perspectives
  • LO2. Apply disciplinary knowledge to solve real-world problems in wildlife conservation
  • LO3. Employ contemporary methodologies to assess diversity at different scales using field and laboratory techniques
  • LO4. Analyse data using modern information technology
  • LO5. Demonstrate integrity, confidence, personal resilience and capacity to manage challenges
  • LO6. Collaborate with peers to develop solutions in a disciplinary context
  • LO7. Infer the ethical considerations and policy implications associated with measures of biodiversity
  • LO8. Communicate scientific findings in written and oral forms to target audiences

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

Changes to the unit aim to better integrate the final genetic diversity module into the earlier modules to highlight the importance of measuring genetic diversity in conservation practice.

Disclaimer

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