Wk 1 Flashcards
What is wildlife
Animals and plants that grow independently of people, usually in natural conditions
- Generally vertebrates
Population
Group of coexisting individuals of the same species
Custodial management
Preventative or protective
- Aimed at minimising external influences
- Leaving system to own devices
- Example: land preservation
Manipulative management
Does something to a populations
- Direct
- Indirect
- Example: food supply, habitat
Wildlife management must:
- Identify the problem
- Have goals that explicitly address the solution to the problem
- Have clearly defined success criteria
A wildlife population may be managed in 4 ways:
- Make if increase
- Make it decrease
- Harvest for sustainable yield
- Do nothing, but keep an eye on it
What 3 decisions are needed when planning for wildlife management?
- What is the desired goal? (value judgement)
- Which management options are appropriate? (technical judgement)
- Which action will best achieve goal? (technical/value judgement)
Example: Overabundant koalas in SE Ausralia
- Marooning of koalas on offshore islands
- Highly successful in facilitating large scale reintroduction programs
- Genetic diversity limited as 2 koalas started the population on French Island
- Now have highly fragmented populations
Impact of overabundant koala population
- Over-browsing and subsequent tree death
- Threaten local tree communities
- Starvation of koalas
- decline of other species
Step by step process - wildlife management
- Define the problem
- Identify goals that address the solution to the problem (set specific targets)
- Which management options are appropriate?
- What benefits are gained
- What penalties accrue
- Cost vs benefit - Which management action will best achieve the goal?
- Implement management action
- Monitor (and report) outcomes
- Evaluate success of program
Step 1: Define the problem
Implies some baseline knowledge about the population
- Size of the population
- Changes in population size over time
- Impact of/on population (ideally quantitative)
- Scale of the problem
Example: Urban Kangaroos
- Nelson bay golf course
- Lots of kangaroos - local estimate 400-500
- Need management
- Potential negative impacts - vehicle collisions, damage to golf course
- Need to obtain baseline data
Step 2: Identify goals to solve problem
This may require direct manipulation of the population or an indirect manipulation of some aspect of the environment
Set specific (quantitative) targets (e.g. reduce digging by x%) –> so you can evaluate your success
Consult stakeholders - remember this is a value-driven judgement
Example: Urban Kangaroos
Reduce (or stabilise) kangaroo population
- To reduce incidence of kangaroo-vehicle collisions, and/or
- To reduce incidence of damage to golf course by kangaroos
- Specific numbers should be given where possible
Step 3: What management is appropriate?
What management options are available for a given species/location
What management options are practically feasible
Timeframe for results
Cost: Benefit
What options are socially acceptable
What option are politically acceptable
Step 4: What option will best achieve goal
From a pragmatic perspective, which option is most likely to achieve the goal (i.e. this is a technical judgement that does not take into account value judgement)
In real life it is nearly impossible to not include a value judgement
Hence steps 3 & 4 usually occur simultaneously
Experimental approach vs traditional approach
Experimental approach preferred due to uncertainty in systems being managed
- Questions are not always clear
- Initial state of the system is inherited and not in ideal condition
- Criteria for success or failure are not always clear to stakeholders
- Wildlife managers are seldom in complete control of the situation think budgets, competing interests, politics etc.
- We are trying to manage a dynamic system, with its own in-built checks and balances
An experimental approach can therefore give you less ambiguous assessment of success or failure
Technical judgments can be evaluated as right or wrong, provided the right questions are asked (i.e. an appropriate hypothesis is presented) and the management is designed as an experiment
Value judgments are not testable
Example:
- Technical judgment: Elephants must be culled, otherwise they will eliminate Acacia tortilis trees from an area
- Value judgment: Does the local survival of Acacia tortilils justify the culling of elephants
Technical judgments can and should be tested
Experimental approach
- Pose a research question (usually your best guess as to what is going on)
- Covert it to a null hypothesis
- Collect data that will test the null hypothesis
- Run the appropriate statistical test
- Accept or reject null hypothesis
- Convert the statistical conclusion to a biological one