A Decision Support System for pest control Dave Morgan, Margaret Anderson, and Bruce Warburton
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Transcript of A Decision Support System for pest control Dave Morgan, Margaret Anderson, and Bruce Warburton
A Decision Support System for pest control
Dave Morgan, Margaret Anderson, and Bruce Warburton
Landcare Research, Lincoln
What is it? An internet-based system to assist in choosing the
most appropriate pest control methods
Presently – possums, rats, ferrets, stoats, cats
Primarily for RC staff and community groups
Funded as an Envirolink Tools project
Many other potential users
Pest control is a complex
sector
Why?
1. Good decision making
- help decision-making in a complex sector, based on science or expert advice
2. Prioritising expenditure
- funds are limited – can’t do everything
- so, want best ‘bangs for bucks’ based on a reliable, transparent process
3. Consistent approach nationally
- part of the MAFBNZ toolbox??
Examples of DoC Goals
Secure from extinction Long-term recovery Best minimum set of ecosystems (‘zoos’) Maximise ecological integrity (‘restoration’) Ecosystem services
Examples of RC Goals
Retain current levels of biodiversity adjacent to human settlement Habitat protection Community participation Halting decline Protect and restore
Biodiversity inventory sources- databases (e.g NHMS, PAN-NZ)- ongoing monitoring of biodiversity and threats (monitoring plan)
Goals or national outcomes from:
- Biodiversity Strategy- RMA- RPS- Community plan
Biodiversity Management System
Projects
Vertebrate Pest Decision Support System• user inputs: (i) job criteria and (ii) constraints• system applies rules and recommends best options• pest managers consider recommended options in making decision
Other biodiversity management activities e.g. land acquisition, fencing, revegetation, translocations, supplementary feeding
Identify management outcomes and indicators required to achieve goals
Calculate project efficiency (E) = W x B x S Cost
Identify threats and list all management activities (projects) required to deliver each outcome
Rank projects and select within budget
ResourcesFunds, staff, collaborations, contractors.
Performance monitoring of outputs
and outcomes
Evaluate outputs for cost-effectiveness
Evaluate outcomes against indicators
Principle: considers all constraints and recommends cheapest available option
Process:1. Consider all constraints (environmental, social, legal)2. Rule out inappropriate options 3. Short-list appropriate options4. Narrow down further based on:
i. methods used in last 3 yearsii. cost
5. Link to current best practice advice6. Calculate ‘efficiency’ of job (i.e. bangs for bucks)7. Prioritise jobs
How does the DSS work?
Link to DSS
Availability
• Test version on internet in 2-3 weeks
• Publically available by end-July
• Publicity
Conclusion – the DSS provides:
•An expert, objective system
•Transparency/accountability
•Best current practice
•Costing tools
•Prioritisation
Conclusion – the DSS provides:
•Expert, objective system
•Transparency
•Best current practice
•Costing
•Prioritisation
Other potential usersGovernance• Biosecurity NZ staff• DoC community relations managers• DoC biodiversity fund managers• Regional council• Funding approvers• Corporate sponsors
Portfolio managers• Biosecurity managers (BNZ, AHB, RCs)• Biodiversity managers (MoE, DoC, RCs)
Operational planners• RC, DoC, AHB, contractors, private landowners,
researchers
Ecologists • Ecologists (DoC and RCs)• Private ecological consultants
Operational staff• RC parks and reserves staff• DoC field staff • Pest control contracting companies
Private landowners• Forestry • Farmers • Conservation reserves• Lifestyle blocks• Funding applicants (QEII, Sustainability Grants)• Iwi/hapu planners (e.g. Nga Whenua Rahui)
Community groups• Environmental NGOs and Trusts (e.g. Forest and
Bird, Project Crimson, QEII Trust)• Volunteer community groups (e.g. Landcare groups,
NZ Trust for Conservation Volunteers)
Business groups• Pest product manufacturers • Pest product importers/suppliers • Pest product retailers
Education• Students ( secondary and tertiary level)• Tech. training organizations (e.g. AITO, polytechs)
Researchers• Pest research scientists (e.g. ecology, toxicology,
biometrics, food technology)
Biodiversity inventory sources- databases (e.g NHMS, PAN-NZ)- ongoing monitoring of biodiversity and threats (monitoring plan)
Goals or national outcomes from:
- Biodiversity Strategy- RMA- RPS- Community plan
Biodiversity Management System
Projects
Vertebrate Pest Decision Support System• user inputs: (i) job criteria and (ii) constraints• system applies rules and recommends best options• pest managers consider recommended options in making decision
Other biodiversity management activities e.g. land acquisition, fencing, revegetation, translocations, supplementary feeding
Identify management outcomes and indicators required to achieve goals
Calculate project efficiency (E) = W x B x S Cost
Identify threats and list all management activities (projects) required to deliver each outcome
Rank projects and select within budget
ResourcesFunds, staff, collaborations, contractors.
Performance monitoring of outputs
and outcomes
Evaluate outputs for cost-effectiveness
Evaluate outcomes against indicators