4.7 Article

Using species traits to assess human impacts on near shore benthic ecosystems in the Canadian Arctic

Journal

ECOLOGICAL INDICATORS
Volume 60, Issue -, Pages 495-502

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecolind.2015.07.026

Keywords

Biological Traits Analysis; Benthic invertebrates; Species traits; Ecosystem function; Arctic; Wastewater impacts

Funding

  1. Government of Nunavut
  2. NSERC: CREATE STEWARD

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Human activities have the potential to alter the diversity and composition of biological communities in natural environments, which can cause changes in ecosystem functioning. This has led to the development of environmental assessment techniques that take into account species identity, as species can contribute differently to various ecosystem processes. Biological Traits Analysis (BTA) is used to compare the abundances of specific biological traits in samples to produce information about how ecosystem functioning may change across a specific terrestrial or aquatic system. In the present study, BTA was used to assess the influence of municipal wastewater effluent on benthic marine communities in near shore soft sediments in four locations across the Canadian Arctic Territory of Nunavut, Canada. Shifts in trait composition were assessed relative to indicators of sediment enrichment (sediment chlorophyll, organic content, degree of anoxia), and natural variation in habitat characteristics (water depth, porosity, average grain size) at a site receiving wastewater and a reference site in each sampling location. The results indicated a mild enrichment effect of wastewater, as evidenced by changes in trait composition at three of the four sites that received wastewater inputs. However, the amount of variance in trait composition explained by metrics of wastewater enrichment in these locations were generally equal to or lower than the amount of variance explained by sediment characteristics related to natural processes. These results provide greater insight into the underlying causes and consequences of human activities than more traditional methods for environmental impact assessment, and can be directly applied in a management context. (C) 2015 Elsevier Ltd. All rights reserved.

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