Limitations of trait‐based approaches for stressor assessment: The case of freshwater invertebrates and climate drivers. (27th October 2019)
- Record Type:
- Journal Article
- Title:
- Limitations of trait‐based approaches for stressor assessment: The case of freshwater invertebrates and climate drivers. (27th October 2019)
- Main Title:
- Limitations of trait‐based approaches for stressor assessment: The case of freshwater invertebrates and climate drivers
- Authors:
- Hamilton, Anna T.
Schäfer, Ralf B.
Pyne, Matthew I.
Chessman, Bruce
Kakouei, Karan
Boersma, Kate S.
Verdonschot, Piet F. M.
Verdonschot, Ralf C. M.
Mims, Meryl
Khamis, Kieran
Bierwagen, Britta
Stamp, Jen - Abstract:
- Abstract: The appeal of trait‐based approaches for assessing environmental vulnerabilities arises from the potential insight they provide into the mechanisms underlying the changes in populations and community structure. Traits can provide ecologically based explanations for observed responses to environmental changes, along with predictive power gained by developing relationships between traits and environmental variables. Despite these potential benefits, questions remain regarding the utility and limitations of these approaches, which we explore focusing on the following questions: (a) How reliable are predictions of biotic responses to changing conditions based on single trait–environment relationships? (b) What factors constrain detection of single trait–environment relationships, and how can they be addressed? (c) Can we use information on meta‐community processes to reveal conditions when assumptions underlying trait‐based studies are not met? We address these questions by reviewing published literature on aquatic invertebrate communities from stream ecosystems. Our findings help to define factors that influence the successful application of trait‐based approaches in addressing the complex, multifaceted effects of changing climate conditions on hydrologic and thermal regimes in stream ecosystems. Key conclusions are that observed relationships between traits and environmental stressors are often inconsistent with predefined hypotheses derived from current trait‐basedAbstract: The appeal of trait‐based approaches for assessing environmental vulnerabilities arises from the potential insight they provide into the mechanisms underlying the changes in populations and community structure. Traits can provide ecologically based explanations for observed responses to environmental changes, along with predictive power gained by developing relationships between traits and environmental variables. Despite these potential benefits, questions remain regarding the utility and limitations of these approaches, which we explore focusing on the following questions: (a) How reliable are predictions of biotic responses to changing conditions based on single trait–environment relationships? (b) What factors constrain detection of single trait–environment relationships, and how can they be addressed? (c) Can we use information on meta‐community processes to reveal conditions when assumptions underlying trait‐based studies are not met? We address these questions by reviewing published literature on aquatic invertebrate communities from stream ecosystems. Our findings help to define factors that influence the successful application of trait‐based approaches in addressing the complex, multifaceted effects of changing climate conditions on hydrologic and thermal regimes in stream ecosystems. Key conclusions are that observed relationships between traits and environmental stressors are often inconsistent with predefined hypotheses derived from current trait‐based thinking, particularly related to single trait–environment relationships. Factors that can influence findings of trait‐based assessments include intercorrelations of among traits and among environmental variables, spatial scale, strength of biotic interactions, intensity of habitat disturbance, degree of abiotic stress, and methods of trait characterization. Several recommendations are made for practice and further study to address these concerns, including using phylogenetic relatedness to address intercorrelation. With proper consideration of these issues, trait‐based assessment of organismal vulnerability to environmental changes can become a useful tool to conserve threatened populations into the future. Abstract : Traits of organisms are frequently used to explain the changes in populations and communities in response to environmental conditions. Using the example of stream invertebrates and climatic variables, we demonstrate inconsistencies in the relationships between individual traits and selected environmental variables. This variation may be attributable to multiple factors including trait intercorrelations, biotic interactions, and community‐assembly processes. We discuss how these factors could be considered in trait–environment analyses to be useful for conservation and bioassessment. … (more)
- Is Part Of:
- Global change biology. Volume 26:Number 2(2020)
- Journal:
- Global change biology
- Issue:
- Volume 26:Number 2(2020)
- Issue Display:
- Volume 26, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 26
- Issue:
- 2
- Issue Sort Value:
- 2020-0026-0002-0000
- Page Start:
- 364
- Page End:
- 379
- Publication Date:
- 2019-10-27
- Subjects:
- bioassessment -- climate stressor responses -- freshwater invertebrates -- invertebrate traits -- stressor assessment -- trait‐based assessment
Climatic changes -- Environmental aspects -- Periodicals
Troposphere -- Environmental aspects -- Periodicals
Biodiversity conservation -- Periodicals
Eutrophication -- Periodicals
551.5 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=gcb ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/gcb.14846 ↗
- Languages:
- English
- ISSNs:
- 1354-1013
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4195.358330
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25872.xml