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SUMMARY:Quantifying the value of monitoring species in multi-species\, mul
 ti-threat systems
DTSTART;VALUE=DATE-TIME:20180712T052000Z
DTEND;VALUE=DATE-TIME:20180712T054000Z
DTSTAMP;VALUE=DATE-TIME:20210228T011036Z
UID:indico-contribution-343@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: Payal Bal (University of Melbourne)\nMaking effectiv
 e management decisions is challenging in multi-species\, multi-threat syst
 ems because of uncertainty about the effects of different threats on diffe
 rent species. To inform management decisions\, we often monitor species to
  detect spatial or temporal trends that can help us learn about threatenin
 g processes. However\, which species to monitor and how to monitor to info
 rm the management of threats can be difficult to determine. Value of infor
 mation (VOI) analysis is an approach for quantifying the value of monitori
 ng to inform management decisions. We developed a novel method that applie
 s VOI analysis to quantify the benefits of different species monitoring st
 rategies in multi-threat\, multi-species systems. We applied the approach 
 to compare the effectiveness of surveillance monitoring (monitoring specie
 s without experimentation) to targeted monitoring (monitoring species with
  experimentation to learn about a specific threat)\, and how prior informa
 tion drives the benefits of these two different strategies and the species
  to monitor. We also illustrate the approach by applying it to two contras
 ting case studies for monitoring and managing declining mammals in Western
  Australia. Our approach shows that surveillance monitoring generally prov
 ides far lower benefits than targeted monitoring for managing threats in m
 ulti-species\, multi-threat systems under economic constraints. Our approa
 ch also informs the choice of species to monitor and which threats to mana
 ge experimentally to most improve threat management outcomes. We show that
  the key parameters driving these choices include: the budget available fo
 r management\, prior understanding of which threats cause declines in whic
 h species\, the relative cost of managing these threats\, and the backgrou
 nd probability of decline. Our new VOI approach allows the evaluation of m
 onitoring decisions in multi-species\, multi-threat systems in the face of
  uncertainty\, while explicitly accounting for the improvement in manageme
 nt outcomes. We recommend that managers need to explicitly consider a rang
 e of decision parameters when selecting which species to monitor to inform
  management. Our framework provides an objective way to do this.\n\nhttps:
 //conferences.maths.unsw.edu.au/event/2/contributions/343/
LOCATION:University of Sydney New Law School/--105
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/343/
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