Species-level dataset is required for setting biodiversity conservation priorities for freshwater macroinvertebrates in Melbourne streams.


Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
01 Apr 2023
Historique:
received: 02 08 2022
revised: 26 12 2022
accepted: 29 12 2022
pubmed: 26 1 2023
medline: 3 3 2023
entrez: 25 1 2023
Statut: ppublish

Résumé

Family-level identification of freshwater macroinvertebrates is often used to monitor the health of streams due to the lower cost and higher accuracy of identification compared to identifying species. While data on the presence of families from stream monitoring programs can also be used for biodiversity conservation planning, the ability of family-level datasets to accurately reflect regional biodiversity patterns for freshwater macroinvertebrates in Australia remains untested. This study compares family-level and species-level datasets for freshwater insects identified using morphological features and collected over 16 years from 140 sites in Greater Melbourne, Australia. Similar to the results of other studies, our results show a strong positive relationship between family- and species-level taxon richness. However, using the planning software Marxan to compare conservation priorities in our study region, we found that a data analysis of the family-level dataset underestimated the minimum sampling effort required to accurately reflect species diversity. It also identified sub-optimal conservation priority sites and overlooked regionally rare species. We recommend that aquatic macroinvertebrate monitoring programs aimed at understanding regional biodiversity patterns and conservation priorities should routinely include species-level identification, which is now becoming feasible with advances in molecular methods.

Identifiants

pubmed: 36696758
pii: S0301-4797(22)02759-1
doi: 10.1016/j.jenvman.2022.117186
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117186

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Edward Tsyrlin (E)

School of BioSciences, The University of Melbourne, Bio21, Parkville, Victoria, 3052, Australia. Electronic address: tsyrline@student.unimelb.edu.au.

Melissa Carew (M)

School of BioSciences, The University of Melbourne, Bio21, Parkville, Victoria, 3052, Australia.

Ary A Hoffmann (AA)

School of BioSciences, The University of Melbourne, Bio21, Parkville, Victoria, 3052, Australia.

Simon Linke (S)

CSIRO, Quantitative Ecology, 41 Boggo Rd, Dutton Park, QLD, 4102, Australia.

Rhys A Coleman (RA)

Melbourne Water Corporation, 990 La Trobe Street, Docklands, Victoria, 3008, Australia; School of Ecosystem and Forest Sciences, The University of Melbourne, 500 Yarra Boulevard, Burnley, Victoria, 3121, Australia.

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Classifications MeSH