Simulating Demography, Monitoring, and Management Decisions to Evaluate Adaptive Management Strategies for Endangered Species

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dc.citation.issue2
dc.citation.volume18
dc.contributor.authorCanessa S
dc.contributor.authorConverse SJ
dc.contributor.authorAdams L
dc.contributor.authorArmstrong DP
dc.contributor.authorMakan T
dc.contributor.authorMcCready M
dc.contributor.authorParker KA
dc.contributor.authorParlato EH
dc.contributor.authorSipe HA
dc.contributor.authorEwen JG
dc.date.accessioned2025-04-30T01:55:12Z
dc.date.available2025-04-30T01:55:12Z
dc.date.issued2025-04-02
dc.description.abstractAdaptive management (AM) remains underused in conservation, partly because optimization-based approaches require real-world problems to be substantially simplified. We present an approach to AM based in management strategy evaluation, a method used largely in fisheries. Managers define objectives and nominate alternative adaptive strategies, whose future performance is simulated by integrating ecological, learning and decision processes. We applied this approach to conservation of hihi (Notiomystis cincta) across Aotearoa-New Zealand. For multiple extant and prospective hihi populations, we jointly simulated demographic trends, monitoring, estimation, and decisions including translocations and supplementary feeding. Results confirmed that food supplementation assisted recovery, but was more intensive and expensive. Over 20 years, actively pursuing learning, for example by removing food from populations, provided little benefit. Recovery group members supported continuing current management or increasing priority on existing populations before reintroducing new populations. Our simulation-based approach can complement formal optimization-based approaches and improve AM uptake, particularly for programs involving many complex and coordinated decisions.
dc.description.confidentialfalse
dc.edition.editionMarch/April 2025
dc.identifier.citationCanessa S, Converse SJ, Adams L, Armstrong DP, Makan T, McCready M, Parker KA, Parlato EH, Sipe HA, Ewen JG. (2025). Simulating Demography, Monitoring, and Management Decisions to Evaluate Adaptive Management Strategies for Endangered Species. Conservation Letters. 18. 2.
dc.identifier.doi10.1111/conl.13095
dc.identifier.eissn1755-263X
dc.identifier.elements-typejournal-article
dc.identifier.issn1755-263X
dc.identifier.numbere13095
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72821
dc.languageEnglish
dc.publisherWiley
dc.publisher.urihttps://conbio.onlinelibrary.wiley.com/doi/10.1111/conl.13095
dc.relation.isPartOfConservation Letters
dc.rights(c) 2025 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectconservation planning
dc.subjectdecision-making
dc.subjectdemography
dc.subjectmonitoring
dc.subjectstate-space model
dc.subjectsupplementary feeding
dc.subjecttranslocation
dc.subjectuncertainty
dc.titleSimulating Demography, Monitoring, and Management Decisions to Evaluate Adaptive Management Strategies for Endangered Species
dc.typeJournal article
pubs.elements-id500500
pubs.organisational-groupOther
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