Literature DB >> 28340479

Additive effects prevail: The response of biota to multiple stressors in an intensively monitored watershed.

Alexander Gieswein1, Daniel Hering2, Christian K Feld2.   

Abstract

Freshwater ecosystems are impacted by a range of stressors arising from diverse human-caused land and water uses. Identifying the relative importance of single stressors and understanding how multiple stressors interact and jointly affect biology is crucial for River Basin Management. This study addressed multiple human-induced stressors and their effects on the aquatic flora and fauna based on data from standard WFD monitoring schemes. For altogether 1095 sites within a mountainous catchment, we used 12 stressor variables covering three different stressor groups: riparian land use, physical habitat quality and nutrient enrichment. Twenty-one biological metrics calculated from taxa lists of three organism groups (fish, benthic invertebrates and aquatic macrophytes) served as response variables. Stressor and response variables were subjected to Boosted Regression Tree (BRT) analysis to identify stressor hierarchy and stressor interactions and subsequently to Generalised Linear Regression Modelling (GLM) to quantify the stressors standardised effect size. Our results show that riverine habitat degradation was the dominant stressor group for the river fauna, notably the bed physical habitat structure. Overall, the explained variation in benthic invertebrate metrics was higher than it was in fish and macrophyte metrics. In particular, general integrative (aggregate) metrics such as % Ephemeroptera, Plecoptera and Trichoptera (EPT) taxa performed better than ecological traits (e.g. % feeding types). Overall, additive stressor effects dominated, while significant and meaningful stressor interactions were generally rare and weak. We concluded that given the type of stressor and ecological response variables addressed in this study, river basin managers do not need to bother much about complex stressor interactions, but can focus on the prevailing stressors according to the hierarchy identified.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Boosted Regression Trees; Generalised Linear Modelling; Interactions; Monitoring data; Multiple stressors; Riverine ecosystems

Mesh:

Year:  2017        PMID: 28340479     DOI: 10.1016/j.scitotenv.2017.03.116

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Net effect of environmental fluctuations in multiple global-change drivers across the tree of life.

Authors:  Marco J Cabrerizo; Emilio Marañón
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

2.  Physical habitat in conterminous US streams and Rivers, part 2: A quantitative assessment of habitat condition.

Authors:  Philip R Kaufmann; Robert M Hughes; Steven G Paulsen; David V Peck; Curt W Seeliger; Tom Kincaid; Richard M Mitchell
Journal:  Ecol Indic       Date:  2022-08-01       Impact factor: 6.263

3.  Disentangling effects of multiple stressors on matter flow in a lake food web.

Authors:  Shuran Cindy Wang; Xueqin Liu; Yong Liu; Hongzhu Wang
Journal:  Ecol Evol       Date:  2021-06-21       Impact factor: 2.912

4.  A meta-analysis of multiple stressors on seagrasses in the context of marine spatial cumulative impacts assessment.

Authors:  Jackson Stockbridge; Alice R Jones; Bronwyn M Gillanders
Journal:  Sci Rep       Date:  2020-07-20       Impact factor: 4.379

5.  Projected urban growth in the southeastern USA puts small streams at risk.

Authors:  Peter C Van Metre; Ian R Waite; Sharon Qi; Barbara Mahler; Adam Terando; Michael Wieczorek; Michael Meador; Paul Bradley; Celeste Journey; Travis Schmidt; Daren Carlisle
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.