Impacts of multiple anthropogenic stressors on stream macroinvertebrate community composition and functional diversity

Juvigny‐Khenafou, Noel; Piggott, Jeremy J.; Atkinson, David; Zhang, Yixin; Macaulay, Samuel J.; Wu, Naicheng; Matthaei, Christoph D.

doi:10.1002/ece3.6979

Cited by 29 publications

(21 citation statements)

References 81 publications

(163 reference statements)

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“…The reports by [66] showed that fire adversely affects FRic, as observed in the Jalpan river in June 2019. However, FDiv values (Figure 4c) remained relatively unchanged, similar to the findings reported by [67], i.e., this index did not decrease despite environmental and anthropogenic stressors. Other authors suggest that FDiv shows less variations in the presence of urban or agricultural land uses [68], as observed mainly in the Jalpan river.…”

Section: Discussionsupporting

confidence: 85%

Characterization of the Multidimensional Functional Space of the Aquatic Macroinvertebrate Assemblages in a Biosphere Reserve (Central México)

et al. 2021

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The analysis of functional diversity has shown to be more sensitive to the effects of natural and anthropogenic disturbances on the assemblages of aquatic macroinvertebrates than the classical analyses of structural ecology. However, this ecological analysis perspective has not been fully explored in tropical environments of America. Protected Natural Areas (PNAs) such as biosphere reserves can be a benchmark regarding structural and functional distribution patterns worldwide, so the characterization of the functional space of biological assemblages in these sites is necessary to promote biodiversity conservation efforts. Our work characterized the multidimensional functional space of the macroinvertebrate assemblages from an ecosystemic approach by main currents, involving a total of 15 study sites encompassing different impact and human influence scenarios, which were monitored in two contrasting seasons. We calculated functional diversity indices (dispersion, richness, divergence, evenness, specialization, and originality) from biological and ecological traits of the macroinvertebrate assemblages and related these indices to the physicochemical characteristics of water and four environmental indices (Water Quality Index, habitat quality, Normalized Difference Vegetation Index, and vegetation cover and land use). Our results show that the indices of functional richness, evenness, and functional specialization were sensitive to disturbance caused by salinization, concentration of nutrients and organic matter, and even to the occurrence of a forest fire in the reserve during one of the sampling seasons. These findings support the conclusion that the changes and relationships between the functional diversity indices and the physicochemical parameters and environmental indices considered were suitable for evaluating the ecological conditions within the reserve.

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Section: Discussionsupporting

confidence: 85%

Characterization of the Multidimensional Functional Space of the Aquatic Macroinvertebrate Assemblages in a Biosphere Reserve (Central México)

et al. 2021

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“…For each trait, a set of attributes were used to categorize the macrobenthos species (Supplementary Table 1). These trait classes and their associated attributes are related to morphology, life history, and behavior of macrobenthos (Usseglio-Polatera et al, 2000;Akamagwuna et al, 2022), and showed sensitively response to various environmental stress (Li et al, 2019c;Li Z. F. et al, 2020;Juvigny-Khenafou et al, 2021). Additionally, they reflect the macrobenthos-related ecological functions, such as secondary production, energetic transference, and the nutrients cycle (Hébert et al, 2016;Braghin et al, 2018).…”

Section: Functional Diversitymentioning

confidence: 99%

“…Additionally, they reflect the macrobenthos-related ecological functions, such as secondary production, energetic transference, and the nutrients cycle (Hébert et al, 2016;Braghin et al, 2018). We further used a binary coding approach (i.e., 1 if a species displays a trait attribute, 0 if not) to encode trait attributes of the macrobenthos collected in the river-lake system (Supplementary Table 2; Li et al, 2019a,c;Li S. H. et al, 2020;Juvigny-Khenafou et al, 2021). Information regarding the functional traits of macrobenthos 10.3389/fevo.2022.922539 was mainly obtained from the published literature on freshwater ecosystem (Li et al, 2019a;Zhang et al, 2019;Li Z. F. et al, 2020;Dolédec et al, 2021;Juvigny-Khenafou et al, 2021;Peng et al, 2021).…”

Section: Functional Diversitymentioning

confidence: 99%

Spatial patterns of macrobenthos taxonomic and functional diversity throughout the ecotones from river to lake: A case study in Northern China

Yang

et al. 2022

Front. Ecol. Evol.

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Macrobenthos taxonomic and functional diversity are key indicators of ecosystem health. River–lake ecotones are key macrobenthos habitats. However, we don’t fully understand macrobenthos biodiversity patterns in these ecotones. We studied water environment, sediment heavy metal contents, and macrobenthos community, which we sampled simultaneously from 29 sampling sites along the Fu River–Baiyangdian Lake gradient in Northern China with five field surveys from 2018 to 2019. Six trait classes resolved into 25 categories were allocated to macrobenthos through a binary coding system. We used the RLQ framework (R, environmental variables; L, species of taxa; Q, traits) and fourth-corner analyses to evaluate the relationship between environmental variables and macrobenthos traits. Finally, we carried out variance partitioning to assess the contributions of environmental variables to variation of macrobenthos diversities. As the results, TN and TP contents in the river and lake mouths were lower than those in the adjacent river and lake, indicating that the river–lake ecotones played a role in purifying the water and buffering pollution. High taxonomic diversity of macrobenthos in the lake mouth and the presence of unique taxa in the two ecotones revealed edge effects, but the macrobenthos abundance and biomass were extremely low compared with those in the adjacent river and lake. We found no significant correlation between the taxonomic and functional diversity indices in the river and lake mouths. Water depth, water transparency, TN, and TP were the main water environmental drivers of macrobenthos taxonomic and functional diversity, explaining up to 45.5% and 56.2% of the variation, respectively. Sediment Cd, Cr, Cu, Pb, and Zn contents explained 15.1% and 32.8%, respectively, of macrobenthos taxonomic and functional diversity. Our results suggest that functional diversity approaches based on biological traits can complement taxonomic approaches in river–lake ecotones. Furthermore, improving water depth, transparency, eutrophication, and heavy metal pollution will improve macrobenthos diversity in these ecotones and maintain ecosystem health.

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“…Macroinvertebrates are the preferred group of aquatic organisms used in the biomonitoring of streams due to a range of family-related sensitivities (Dickens & Graham, 2002;Türkmen & Kazanci, 2010). A number of authors have used macroinvertebrates to monitor fine sediment accumulation (Conroy et al, 2018;Cummins, 2016;Extence et al, 2011;Juvigny-Khenafou et al, 2021;Murphy et al, 2015Murphy et al, , 2017Relyea et al, 2012;Zuellig & Schmidt, 2012;Zweig & Rabeni, 2001), but there have been few such applications in South Africa. The SASS-sed scoring system developed in this study provides one of the first to do this.…”

Section: Discussionmentioning

confidence: 99%

Developing a taxa‐related physical habitat score based on the response of macroinvertebrate community structure to fine bed sediment composition in the Tsitsa River, Eastern Cape, South Africa

Huchzermeyer

Rowntree

2021

River Research & Apps

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Biomonitoring techniques such as the South African Scoring System version 5 (SASSv5) is widely used in South Africa to rapidly assess river water quality, but there are currently no equivalent rapid monitoring tools for fine sediment assessments. This article presents a tool that monitors the effects of fine sediment on macroinvertebrates that can be used alongside the SASSv5 assessment. Sampling was carried out in the Tsitsa River in the Eastern Cape province of South Africa. Five sampling surveys were conducted over one hydrological year to capture a range of flow conditions resulting in a total of 90 sampling points across five sampling sites.Using an adaption of the SASSv5 methods, sampling was undertaken at a quadrat scale, rather than at a site scale, to identify macroinvertebrate families in different habitat types and degrees of sediment deposition. Fine sediment sampling using a disturbance technique was undertaken immediately upstream of 78 of the biological sampling points. A taxa-related sediment deposition score was created in which taxa were scored in terms of their sensitivity to fine sediment accumulation. The index was tested as a monitoring tool at 11 monitoring sites along the Tsitsa River in different seasons and flow conditions in 2019 and 2020.

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Impacts of multiple anthropogenic stressors on stream macroinvertebrate community composition and functional diversity

Abstract: This 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.

Cited by 29 publications

References 81 publications

Characterization of the Multidimensional Functional Space of the Aquatic Macroinvertebrate Assemblages in a Biosphere Reserve (Central México)

Characterization of the Multidimensional Functional Space of the Aquatic Macroinvertebrate Assemblages in a Biosphere Reserve (Central México)

Spatial patterns of macrobenthos taxonomic and functional diversity throughout the ecotones from river to lake: A case study in Northern China

Developing a taxa‐related physical habitat score based on the response of macroinvertebrate community structure to fine bed sediment composition in the Tsitsa River, Eastern Cape, South Africa

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