Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
Integrative course concerned with ecosystems, communities & species at risk. Practical approaches to overcoming threatening processes, & underlying theory. Landscape ecology & regional ecosystems; spatial analysis; biological invasion and extinctions; in situ & ex situ methods. Interaction of science with social/legal context.
In BIOL3000 (Conservation), we will explore what can be done to repair the damage that people have done to the planet’s species, communities and natural ecosystems.ᅠConservation is all about using science to help solve real world problems.ᅠBeginning with an understanding of natural patterns in biological diversity, we will chart human impacts on the natural world through overexploitation, habitat destruction, population declines, extinctions, invasions of exotic species and climate change.ᅠWe will then look at tools to reverse these problems, including designing networks of nature reserves, economic incentives, habitat restoration, climate adaptation, and evidence-based conservation. Assessments are designed to stimulate application of intuition and knowledge to solve or explore conservation problems.
Course requirements
Assumed background
Students need a solid background in ecology, preferably including field courses.
Incompatible
You can't enrol in this course if you've already completed the following:
CONS3001
Course contact
Course staff
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
After taking this course you should:
- Understand what the basic sub-fields of Conservation Biology are and how they are integrated into the field as a whole
- Understand the basic ecological, evolutionary, and statistical theory and methodologies that underpin the field of Conservation Biology
- Be able to integrate key ideas in biology, policy, anthropology, economics and spatial modelling in a conservation framework.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Identify conservation issues and the key ecological, social and political factors involved with them.
LO2.
Learn to critically analyse a conservation issue and present that information in concise writing
LO3.
Apply science to solve real conservation problems.
LO4.
Evaluate arguments about conservation issues, expressing them verbally and in written form.
LO5.
Contribute in a professional manner to a team to achieve successful outcomes
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Paper/ Report/ Annotation | Prac assessment 1 | 15% |
4/09/2025 2:00 pm |
Paper/ Report/ Annotation |
Prac assessment 2
|
20% |
25/09/2025 2:00 pm |
Paper/ Report/ Annotation | Prac assessment 3 | 15% |
30/10/2025 2:00 pm |
Examination |
End of Semester exam
|
50% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Prac assessment 1
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 15%
- Due date
4/09/2025 2:00 pm
- Learning outcomes
- L02, L03
Task description
Based on the work carried out in the two Pracs led by Professor Richard Fuller, you will complete a written assessment. Full instructions will be given in class. Focus on quality and creativity in your answer. The prac work may be done in pairs or groups, but this assessment MUST be done individually. Plagiarism will not be tolerated.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Prac assessment 2
- Team or group-based
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 20%
- Due date
25/09/2025 2:00 pm
- Learning outcomes
- L02, L04, L05
Task description
The two practical sessions led by Prof Salit Kark and tutors will aim to help students discuss and better understand issues related to management of native and introduced alien species in relation to conservation. You will develop your own conservation and management plan for native and invasive species in Queensland and describe this in a written assessment. The Prac work and this assessment will be undertaken in small groups, enhancing your team work skills, which are key in both conservation and management.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Prac assessment 3
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 15%
- Due date
30/10/2025 2:00 pm
- Learning outcomes
- L02, L03
Task description
The two pracs led by Dr Tatsuya Amano will focus on how we can systematically synthesise scientific evidence for conservaiton. You will learn how to use existing literature databases and search systems to conduct systematic literature searches and identify scientific evidence relevant to conservation in an unbiased and comprehensive manner. You will complete a written assessment (less than 600 words) using the knowledge and approaches you learn during the two pracs. Full instructions will be given in class. The prac work may be done in pairs or groups, but this assessment MUST be done individually.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
End of Semester exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 50%
- Due date
End of Semester Exam Period
8/11/2025 - 22/11/2025
- Learning outcomes
- L01, L02, L03, L04
Task description
Consists of ten short-answer questions.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
See ADDITIONAL COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Exam details
Planning time | 10 minutes |
---|---|
Duration | 120 minutes |
Calculator options | No calculators permitted |
Open/closed book | Closed book examination - no written materials permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% |
Additional course grading information
Assessment Hurdle
In order to pass this course, you must meet the following requirements (if you do not meet these requirements, the maximum grade you will receive will be a 3):
You must obtain 45% or more on the End of Semester exam.
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to the UQ website for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Applications for Extensions to Assessment Due Dates
Read the information contained in the following links carefully before submitting an application for extension to assessment due date.
For guidance on applying for an extension, information is available here: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension
For the policy relating to extensions, information is available here (Part D): https://policies.uq.edu.au/document/view-current.php?id=184
Please note the University's requirements for medical certificates here: https://my.uq.edu.au/information-and-services/manage-my-program/uq-policies-and-rules/requirements-medical-certificates
PLAGIARISM: You should be aware that the University employs purpose built software to detect plagiarism. It is very important that you understand clearly the practical meaning of plagiarism.
Students are encouraged to read the UQ Academic Integrity and Plagiarism policy which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.
DEFINITION OF PLAGIARISM: Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.
EXAMPLES OF PLAGIARISM:
1. Direct copying of paragraphs, sentences, a single sentence or significant parts of a sentence;
2. Direct copying of paragraphs, sentences, a single sentence or significant parts of a sentence with an end reference but without quotation marks around the copied text;
3. Copying ideas, concepts, research results, computer codes, statistical tables, designs, images, sounds or text or any combination of these;
4. Paraphrasing, summarising or simply rearranging another person's words, ideas, etc without changing the basic structure and/or meaning of the text;
5. Offering an idea or interpretation that is not one's own without identifying whose idea or interpretation it is;
6. A 'cut and paste' of statements from multiple sources;
7. Presenting as independent, work done in collaboration with others;
8. Copying or adapting another student's original work into a submitted assessment item.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
See Task description section of each assessment.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
Learning period | Activity type | Topic |
---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
Lecture 1: Humans and the sixth mass extinction with Prof Richard Fuller Learning outcomes: L01 |
Lecture |
Guest lecture 1 (Prof Hugh Possingham): Conservation policies With Prof Hugh Possingham hosted by Prof Richard Fuller Learning outcomes: L01, L03 |
|
Lecture |
Lecture 2: What is biodiversity? with Prof Richard Fuller Learning outcomes: L03 |
|
Lecture |
Lecture 3: Natural patterns in biodiversity with Prof Richard Fuller Learning outcomes: L03 |
|
Week 2 (04 Aug - 10 Aug) |
Lecture |
Lecture 4: Mapping biodiversity with Prof Richard Fuller Learning outcomes: L03 |
Lecture |
Guest lecture 2 (A/Prof Pedro Fidelman): Environmental policy and governance With A/Prof Pedro Fidelman hosted by Prof Richard Fuller Learning outcomes: L01, L03 |
|
Lecture |
Lecture 5: Habitat destruction and global change with Prof Richard Fuller Learning outcomes: L01, L03, L04 |
|
Lecture |
Lecture 6: Repairing a damaged planet with Prof Richard Fuller Learning outcomes: L01, L02 |
|
Week 3 (11 Aug - 17 Aug) |
Lecture |
Lecture 7: Protected areas with Prof Richard Fuller Learning outcomes: L01, L02, L03 |
Lecture |
Guest lecture 3 (Nicky Moffat): Conservation campaigning With a guest lecturer and Prof Richard Fuller Learning outcomes: L01, L03 |
|
Lecture |
Lecture 8: Scoring approaches to conservation with Prof Richard Fuller Learning outcomes: L03, L04 |
|
Lecture |
Lecture 9: Cost-benefit analysis with Prof Richard Fuller Learning outcomes: L03, L04 |
|
Week 4 (18 Aug - 24 Aug) |
Lecture |
Lecture 10: Cost-effectiveness analysis with Prof Richard Fuller Learning outcomes: L03, L04 |
Practical |
Prac 1: Planning protected areas (Practical; F2F) with Prof Richard Fuller + tutors Learning outcomes: L02, L03, L04 |
|
Lecture |
Lecture 11: Priority threat management with Prof Richard Fuller Learning outcomes: L02, L03 |
|
Lecture |
Lecture 12: Multi-criteria decision analysis with Prof Richard Fuller Learning outcomes: L03, L04 |
|
Week 5 (25 Aug - 31 Aug) |
Lecture |
Lecture 13: Conservation in a crowded world with Prof Richard Fuller Learning outcomes: L03, L04 |
Practical |
Prac 2: Making conservation decisions (Practical; F2F) with Prof Richard Fuller + tutors Learning outcomes: L02, L03, L04, L05 |
|
Lecture |
Lecture 14: Connections between people and nature with Prof Richard Fuller Learning outcomes: L01 |
|
Lecture |
Lecture 15: Citizen science with Prof Richard Fuller Learning outcomes: L01, L03, L04 |
|
Week 6 (01 Sep - 07 Sep) |
No student involvement (Breaks, information) |
<font color="red">Teaching-free week</font> |
Week 7 (08 Sep - 14 Sep) |
Lecture |
Lecture 16: Biotic invasions and conservation in a changing world with Prof Salit Kark Learning outcomes: L03 |
Practical |
Prac 3: Invasive species management (Practical; F2F) with Prof Salit Kark + tutors Learning outcomes: L02, L03 |
|
Lecture |
Lecture 17: Introduced species process and stages with Prof Salit Kark Learning outcomes: L01, L02, L04 |
|
Lecture |
Lecture 18: Impacts of biological invasions with Prof Salit Kark Learning outcomes: L01, L03 |
|
Week 8 (15 Sep - 21 Sep) |
Lecture |
Lecture 19: Management of biological invasions, conservation decisions, wildlife trade with Prof Salit Kark Learning outcomes: L01, L02, L04 |
Practical |
Prac 4: Invasive species management (Practical; F2F) with Prof Salit Kark + tutors Learning outcomes: L02, L03 |
|
Lecture |
Lecture 20: Conservation outside protected areas, urban conservation. The role of collaboration and conflict in conservation with Prof Salit Kark Learning outcomes: L01 |
|
Lecture |
Lecture 21: Backyard conservation with Prof Salit Kark Learning outcomes: L01 |
|
Week 9 (22 Sep - 28 Sep) |
No student involvement (Breaks, information) |
<font color="red">3rd year teaching-free week</font> |
Week 10 (06 Oct - 12 Oct) |
Lecture |
Lecture 22: Understanding biodiversity changes with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
Lecture |
Lecture 23: Climate change and biodiversity with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
|
Week 11 (13 Oct - 19 Oct) |
Lecture |
Lecture 24: Unifying our knowledge for conservation with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
Practical |
Prac 5: Systematic search for evidence (Practical; F2F) with A/Prof Tatsuya Amano + tutors Learning outcomes: L02, L03 |
|
Lecture |
Lecture 25: Assessing the effectiveness of protected areas with A/Prof Tatsuya Amano Learning outcomes: L03 |
|
Lecture |
Lecture 26: Feeding the world while conserving the planet with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
|
Week 12 (20 Oct - 26 Oct) |
Lecture |
Lecture 27: Gaps in our knowledge on biodiversity with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
Practical |
Prac 6: Systematic search for evidence (Practical; F2F) with A/Prof Tatsuya Amano + tutors Learning outcomes: L02, L03 |
|
Lecture |
Lecture 28: Technologies for conservation with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
|
Lecture |
Lecture 29: Languages and conservation with A/Prof Tatsuya Amano Learning outcomes: L01, L03 |
|
Week 13 (27 Oct - 02 Nov) |
Workshop |
Workshop: Conservation careers (online only) with four early-career researchers in conservation, hosted by A/Prof Tatsuya Amano Learning outcomes: L03, L04 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.