Evaluation of stream ecosystem health and species association based on multi-taxa (benthic macroinvertebrates, algae, and microorganisms) patterning with different levels of pollution

Chon, Tae‐Soo; Qu, Xiaodong; Cho, Woon-Seok; Hwang, Hyun Ju; Tang, Hongqu; Liu, Yuedan; Choi, Jung-Hye; Jung, Myounghwa; Chung, Bok Sil; Lee, Hak Young; Chung, Young Ryun; Koh, Sung-Cheol

doi:10.1016/j.ecoinf.2013.06.004

Cited by 16 publications

(8 citation statements)

References 64 publications

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“…That may be a new approach in biomonitoring programs, given that extensive sampling is conducted in reference sites. Other quantitative multivariate techniques employ artificial neural networks (i.e., self-organizing maps) by extracting complexity residing in community and metric data (Park et al 2004;Bae et al 2011;Cho et al 2011;Li et al 2012;Chon et al 2013). Also, the use of multiple biological traits (Statzner et al 2001;Menezes et al 2010;Marzin et al 2012) has been tested and this approach has advantages for large-scale applicability because aquatic invertebrates worldwide can be described and compared on the same scale for a given trait (Statzner et al 1997).…”

Section: Approaches To Biological Assessmentmentioning

confidence: 99%

Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs

Buss

Carlisle

Chon

et al. 2014

Environ Monit Assess

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135

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Water quality agencies and scientists are increasingly adopting standardized sampling methodologies because of the challenges associated with interpreting data derived from dissimilar protocols. Here, we compare 13 protocols for monitoring streams from different regions and countries around the globe. Despite the spatially diverse range of countries assessed, many aspects of bioassessment structure and protocols were similar, thereby providing evidence of key characteristics that might be incorporated in a global sampling methodology. Similarities were found regarding sampler type, mesh size, sampling period, subsampling methods, and taxonomic resolution. Consistent field and laboratory methods are essential for merging data sets collected by multiple institutions to enable large-scale comparisons. We discuss the similarities and differences among protocols and present current trends and future recommendations for monitoring programs, especially for regions where large-scale protocols do not yet exist. We summarize the current state in one of these regions, Latin America, and comment on the possible development path for these techniques in this region. We conclude that several aspects of stream biomonitoring need additional performance evaluation (accuracy, precision, discriminatory power, relative costs), particularly when comparing targeted habitat (only the commonest habitat type) versus site-wide sampling (multiple habitat types), appropriate levels of sampling and processing effort, and standardized indicators to resolve dissimilarities among biomonitoring methods. Global issues such as climate change are creating an environment where there is an increasing need to have universally consistent data collection, processing and storage to enable large-scale trend analysis. Biomonitoring programs following standardized methods could aid international data sharing and interpretation.

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Section: Approaches To Biological Assessmentmentioning

confidence: 99%

Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs

Buss

Carlisle

Chon

et al. 2014

Environ Monit Assess

Self Cite

250

135

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show abstract

“…Multi-taxa approaches provide a more holistic representation of freshwater ecosystem health through the combination of taxonomic diversity, different species' environmental tolerances and network properties (i.e. connectedness, modularity) from more than one traditional bioindicator kingdom [45][46][47][48] . This ultimately enables the detection of keystone taxa that have a very large effect on their environment without which the community would be very different or not exist 49 .…”

Section: Introductionmentioning

confidence: 99%

“…Considering the role of multiple taxonomic groups (i.e. macroinvertebrates and diatoms) simultaneously as bioindicators can broaden the impact of freshwater assessments 45,46 . Multi-taxa approaches provide a more holistic representation of freshwater ecosystem health through the combination of taxonomic diversity, different species' environmental tolerances and network properties (i.e.…”

Section: Introductionmentioning

confidence: 99%

Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions

Robinson

Porter²,

Maitland³

et al. 2021

Preprint

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Freshwater systems are experiencing rapid biodiversity losses resulting from high rates of habitat degradation. Ecological condition is typically determined through identifying either macroinvertebrate or diatom bioindicator assemblages and comparing them to their known tolerance to stressors. These comparisons are typically conducted at family or genus levels depending on the availability of taxonomic keys and expertise for focal groups. The objective of this study was to test whether a more taxonomically comprehensive assessment of communities in benthic samples can provide a different perspective of ecological conditions. DNA metabarcoding was used to identify macroinvertebrates and diatoms from kick-net samples collected from sites with different habitat status. Sites with ‘good’ condition were associated with higher beta diversity as well as slightly higher directed connectance and modularity indicating higher resilience compared with ‘fair’ condition sites. Indicator value and correlation analyses used DNA metabarcoding data to detect 29 site condition indicator species consistent with known bioindicators and expected relative tolerances. DNA metabarcoding and trophic network analysis also recovered 11 keystone taxa. This study demonstrates the importance of taxonomic breadth across trophic levels for generating biotic data to study ecosystem status, with the potential to scale-up ecological assessments of freshwater condition, trophic stability, and resilience.

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“…Therefore, the use of at least two assemblages has been suggested for more robust biological assessment of condition, as each assemblage may respond differently to potential stressors (Yoder and Rankin, 1995). Multi-biotic indicators and metrics for fish, phytoplankton, zooplankton, or macroinvertebrate assemblage condition have been developed for streams (Angermeier et al, 2000;McCormick et al, 2001;Klemm et al, 2003;Whittier et al, 2007;Chon et al, 2013) and lakes (O'Connor et al, 2000;Wilcox et al, 2002;Kane et al, 2009;Wang et al, 2015c). However, there are still some inadequacies in the present multiassemblage assessment.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of a Planktonic Integrity Index (PII) for Jingpo Lake, China

et al. 2019

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A Planktonic Integrity Index (PII) for the China’s largest alpine barrier lake (Jingpo Lake) was developed to assess the water quality of Jingpo Lake by using phytoplankton and zooplankton metrics. Phytoplankton and zooplankton assemblages were sampled at 26 sites in Jingpo Lake. A total of 140 species of phytoplankton and 92 species of zooplankton were obtained in the investigations. We used a stepwise process to evaluate properties of candidate metrics and selected five for the PII: Algal cell abundance, Species richness of algae, Trophic diatom index, Zooplankton Shannon index, and Zooplankton Margalef index. Evaluation of the PII showed that it discriminated well between reference and impaired sites and the discriminatory biocriteria of the PII were suitable for the assessment of the water quality of Jingpo Lake. The further scoring results from the 26 sites showed that the water quality of Jingpo Lake was fair to good. The results of analyses between PII and major environmental factors indicated that water temperature (WT), transparency (SD), dissolved oxygen (DO), potassium permanganate (CODMn) and total nitrogen (TN) were the main factors influencing on the composition and distribution of phytoplankton and zooplankton. Additionally, more metrics belonging to habitat, hydrology, physics and chemistry should be considered for the PII, so as to establish comprehensive assessment system which can reflect the community structure of aquatic organisms, physical and chemical characteristics of water environment, human activities, etc.

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Evaluation of stream ecosystem health and species association based on multi-taxa (benthic macroinvertebrates, algae, and microorganisms) patterning with different levels of pollution

Cited by 16 publications

References 64 publications

Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs

Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs

Multi-marker metabarcoding resolves subtle variations in freshwater condition: Bioindicators, ecological traits, and trophic interactions

Development and evaluation of a Planktonic Integrity Index (PII) for Jingpo Lake, China

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