Show simple item record

dc.contributor.authorNegus, Peter
dc.contributor.authorBlessing, Joanna
dc.contributor.authorClifford, Sara
dc.contributor.authorMarshall, Jonathan
dc.date.accessioned2020-09-08T02:48:54Z
dc.date.available2020-09-08T02:48:54Z
dc.date.issued2020
dc.identifier.issn1448-6563
dc.identifier.doi10.1080/14486563.2020.1750494
dc.identifier.urihttp://hdl.handle.net/10072/397179
dc.description.abstractEcosystem monitoring often fails to provide the right information to evaluate and guide environmental stewardship due to a lack of diagnostic capacity, long-term operational resources, explicit monitoring objectives and rigorous sampling designs. Our objective is to describe a monitoring framework that addresses these failures by including causative conceptual models and the concepts of adaptive monitoring and management. Resources are rarely available to monitor all ecosystem components, so identifying priorities is vital for the success of a monitoring program. An ecological risk assessment combining available information and expert opinion on threats and their consequences to the ecosystem can be used to prioritise monitoring and identify explicit objectives. A Pressure-Stressor-Response conceptual model forms the causative understanding of the ecosystem and the model components underpin the factors in the risk assessment. In this way, field sampling can validate the priority of ecosystem threats; provide information for refinement of conceptual understandings and guide efficient management activity. Repeated risk assessments using updated data and information can identify successful management and the increase and establishment of threats. Updated risk assessments can change threat priorities and therefore monitoring and assessment hypotheses and objectives can change. This ability to change underlies the concepts of adaptive monitoring and management.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherTaylor & Francis Group
dc.relation.ispartofpagefrom224
dc.relation.ispartofpageto240
dc.relation.ispartofissue2
dc.relation.ispartofjournalAustralasian Journal of Environmental Management
dc.relation.ispartofvolume27
dc.subject.fieldofresearchEnvironmental sciences
dc.subject.fieldofresearchHuman society
dc.subject.fieldofresearchcode41
dc.subject.fieldofresearchcode44
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsRiver health
dc.subject.keywordsEcology
dc.titleAdaptive monitoring using causative conceptual models: assessment of ecological integrity of aquatic ecosystems
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationNegus, P; Blessing, J; Clifford, S; Marshall, J, Adaptive monitoring using causative conceptual models: assessment of ecological integrity of aquatic ecosystems, Australasian Journal of Environmental Management, 2020, 27 (2), pp. 224-240
dc.date.updated2020-09-08T02:47:49Z
gro.hasfulltextNo Full Text
gro.griffith.authorMarshall, Jonathan C.


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record