Integrative analysis of stressor gradients reveals multiple discrete trait‐defined axes underlie community assembly

Simple item page
dc.contributor.authorBarrett, Isabelle C.en_NZ
dc.contributor.authorMcIntosh, Angus R.en_NZ
dc.contributor.authorFebria, Catherine M.en_NZ
dc.contributor.authorGraham, S. Elizabethen_NZ
dc.contributor.authorBurdon, Francis J.en_NZ
dc.contributor.authorPomeranz, Justin P. F.en_NZ
dc.contributor.authorWarburton, Helen J.en_NZ
dc.date.accessioned2022-07-07T03:39:46Z
dc.date.available2022-07-07T03:39:46Z
dc.date.issued2022en_NZ
dc.description.abstractThe generalizable functional attributes of organisms (traits) relate strongly to their environment across multiple levels of biological organization, making trait-based approaches a powerful mechanistic framework to understand species distributions and community composition in relation to environmental change. To investigate how a wide range of stressor types shape stream macroinvertebrate communities, we conducted an integrative analysis using community and taxon trait information across drying, flooding, eutrophication, fine sediment, and acid mine drainage (AMD) gradients. Each gradient spanned relatively unimpacted to severely impacted sites. To characterize community change in response to stressors, we incorporated abundance-based trait information from all stressor gradients in a single trait-based ordination (nonmetric multidimensional scaling), defining the trait space within which each stressor gradient acted. We hypothesized that different stressors would apply different environmental filters, moving communities along distinct axes in trait space and resulting in communities with definable trait combinations. Particularly strong relationships were associated with anthropogenically derived stressors (fine sediment, eutrophication, and AMD) compared to natural stressors (drying and flooding). Anthropogenic stressors instigated significant movement of communities along multiple axes in trait space, likely driven by limited adaptation to these novel stressors. We demonstrate that trait-based analysis of communities across multiple stressor gradients can support a more comprehensive understanding of how community composition changes than taxonomic methods or investigation of a single stressor type, and could underpin community-focused management actions.
dc.format.mimetypeapplication/pdf
dc.identifier.doi10.1002/ecs2.4164en_NZ
dc.identifier.eissn2150-8925en_NZ
dc.identifier.issn2150-8925en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/14964
dc.language.isoenen_NZ
dc.publisherWileyen_NZ
dc.relation.isPartOfEcosphereen_NZ
dc.relation.urihttps://doi.org/10.1002/ecs2.4164
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2022 The Authors. Ecosphere published by Wiley Periodicals LLC on behalf of The Ecological Society of America.
dc.titleIntegrative analysis of stressor gradients reveals multiple discrete trait‐defined axes underlie community assemblyen_NZ
dc.typeJournal Article
pubs.elements-id271596
pubs.issue7en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/2025 PBRF
pubs.organisational-group/Waikato/DHECS
pubs.organisational-group/Waikato/DHECS/2025 PBRF - DHEC
pubs.organisational-group/Waikato/DHECS/SCHS
pubs.organisational-group/Waikato/DHECS/SCHS/2025 PBRF - SCHS
pubs.organisational-group/Waikato/FSEN - Old
pubs.organisational-group/Waikato/FSEN - Old/School of Science
pubs.organisational-group/Waikato/FSEN - Old/School of Science/2018 PBRF - School of Science
pubs.owner.emailfburdon@waikato.ac.nz
pubs.owner.nameBurdon, Francis
pubs.publication-statusPublisheden_NZ
pubs.user.infoBurdon, Francis (fburdon@waikato.ac.nz)
pubs.volume13en_NZ
uow.verification.statusunverified
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ecosphere - 2022 - Barrett - Integrative analysis of stressor gradients reveals multiple discrete trait‐defined axes.pdf
Size:
1.36 MB
Format:
Adobe Portable Document Format
Description:
Published version
Thumbnail Image
Name: Ecosphere - 2022 - Barrett - Integrative analysis of stressor gradients reveals multiple discrete trait‐defined axes.pdf
Size: 1.36 MB
Kind: Adobe PDF
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Research Commons Deposit Agreement 2017.pdf
Size:
188.11 KB
Format:
Adobe Portable Document Format
Description:
Name: Research Commons Deposit Agreement 2017.pdf
Size: 188.11 KB
Kind: Adobe PDF
Collections
Science and Engineering Papers