Literature DB >> 21442732

Incorporating traits in aquatic biomonitoring to enhance causal diagnosis and prediction.

Joseph M Culp1, David G Armanini, Michael J Dunbar, Jessica M Orlofske, N LeRoy Poff, Amina I Pollard, Adam G Yates, Grant C Hose.   

Abstract

The linkage of trait responses to stressor gradients has potential to expand biomonitoring approaches beyond traditional taxonomically based assessments that identify ecological effect to provide a causal diagnosis. Traits-based information may have several advantages over taxonomically based methods. These include providing mechanistic linkages of biotic responses to environmental conditions, consistent descriptors or metrics across broad spatial scales, more seasonal stability compared with taxonomic measures, and seamless integration of traits-based analysis into assessment programs. A traits-based biomonitoring approach does not require a new biomonitoring framework, because contemporary biomonitoring programs gather the basic site-by-species composition matrices required to link community data to the traits database. Impediments to the adoption of traits-based biomonitoring relate to the availability, consistency, and applicability of existing trait data. For example, traits generalizations among taxa across biogeographical regions are rare, and no consensus exists relative to the required taxonomic resolution and methodology for traits assessment. Similarly, we must determine if traits form suites that are related to particular stressor effects, and whether significant variation of traits occurs among allopatric populations. Finally, to realize the potential of traits-based approaches in biomonitoring, a concerted effort to standardize terminology is required, along with the establishment of protocols to ease the sharing and merging of broad, geographical trait information.
Copyright © 2010 SETAC.

Mesh:

Year:  2010        PMID: 21442732     DOI: 10.1002/ieam.128

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  10 in total

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4.  Can species traits predict the susceptibility of riverine fish to water resource development? An Australian case study.

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5.  Sensitivity ranking for freshwater invertebrates towards hydrocarbon contaminants.

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6.  Species traits as predictors for intrinsic sensitivity of aquatic invertebrates to the insecticide chlorpyrifos.

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7.  Assessment of ecological quality of the Tajan River in Iran using a multimetric macroinvertebrate index and species traits.

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8.  Modeling the Sensitivity of Aquatic Macroinvertebrates to Chemicals Using Traits.

Authors:  Sanne J P Van den Berg; Hans Baveco; Emma Butler; Frederik De Laender; Andreas Focks; Antonio Franco; Cecilie Rendal; Paul J Van den Brink
Journal:  Environ Sci Technol       Date:  2019-04-30       Impact factor: 9.028

9.  Trait modality distribution of aquatic macrofauna communities as explained by pesticides and water chemistry.

Authors:  O Ieromina; C J M Musters; P M Bodegom; W J G M Peijnenburg; M G Vijver
Journal:  Ecotoxicology       Date:  2016-05-21       Impact factor: 2.823

10.  Watered-down biodiversity? A comparison of metabarcoding results from DNA extracted from matched water and bulk tissue biomonitoring samples.

Authors:  Mehrdad Hajibabaei; Teresita M Porter; Chloe V Robinson; Donald J Baird; Shadi Shokralla; Michael T G Wright
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

  10 in total

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