Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 76 checked references that resolve
resolves10.1007/s10661-012-3021-2Towards generalised reference condition models for environmental assessment: a case study on rivers in Atlantic Canada
resolves10.1186/s12302-018-0157-xDNA metabarcoding reveals the complex and hidden responses of chironomids to multiple stressors
resolves10.1038/ncomms14087Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity
resolves10.1016/j.tree.2017.03.001Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks
resolves10.1371/journal.pone.0150327Turning Up the Heat on a Hotspot: DNA Barcodes Reveal 80% More Species of Geometrid Moths along an Andean Elevational Gradient
resolves10.1016/j.ecolind.2016.03.002Confidence in ecological indicators: A framework for quantifying uncertainty components from monitoring data
resolves10.1007/s10750-006-0078-3Effects of sampling and sub-sampling variation using the STAR-AQEM sampling protocol on the precision of macroinvertebrate metrics
resolves10.1016/bs.aecr.2018.09.001Linking DNA Metabarcoding and Text Mining to Create Network-Based Biomonitoring Tools: A Case Study on Boreal Wetland Macroinvertebrate Communities
resolves10.1086/696613Identifying North American freshwater invertebrates using DNA barcodes: are existing COI sequence libraries fit for purpose?
resolves10.1071/MF15108Big data opportunities and challenges for assessing multiple stressors across scales in aquatic ecosystems
resolves10.1002/ece3.4552Accounting for observation processes across multiple levels of uncertainty improves inference of species distributions and guides adaptive sampling of environmental <scp>DNA</scp>
resolves10.1371/journal.pone.0130324Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol
resolves10.3389/fenvs.2017.00038Corrigendum: Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment
resolves10.1002/ece3.3192Sorting things out: Assessing effects of unequal specimen biomass on <scp>DNA</scp> metabarcoding
resolves10.1111/2041-210X.12789Assessing strengths and weaknesses of DNA metabarcoding‐based macroinvertebrate identification for routine stream monitoring
resolves10.1038/s41598-017-13157-xDNA metabarcoding and morphological macroinvertebrate metrics reveal the same changes in boreal watersheds across an environmental gradient
resolves10.1111/1755-0998.12338Replication levels, false presences and the estimation of the presence/absence from <scp>eDNA</scp> metabarcoding data
resolves10.1073/pnas.1406468111Simultaneous assessment of the macrobiome and microbiome in a bulk sample of tropical arthropods through DNA metasystematics
resolves10.1371/journal.pone.0017497Environmental Barcoding: A Next-Generation Sequencing Approach for Biomonitoring Applications Using River Benthos
resolves10.1186/1472-6785-12-28Assessing biodiversity of a freshwater benthic macroinvertebrate community through non-destructive environmental barcoding of DNA from preservative ethanol
resolves10.1086/675225Cryptic biodiversity in streams: a comparison of macroinvertebrate communities based on morphological and DNA barcode identifications
resolves10.1111/ele.12162Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding
resolves10.1139/A07-010Taxonomic sufficiency: The influence of taxonomic resolution on freshwater bioassessments using benthic macroinvertebrates
resolves10.1007/s00442-014-3062-zPopulation densities and density–area relationships in a community with advective dispersal and variable mosaics of resource patches
resolves10.1016/bs.aecr.2018.01.001Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action
resolves10.1007/s10021-010-9394-6Direct Measurement Versus Surrogate Indicator Species for Evaluating Environmental Change and Biodiversity Loss
resolves10.1016/j.ecolind.2015.08.024Multiple-stressor effects on stream invertebrates: DNA barcoding reveals contrasting responses of cryptic mayfly species
resolves10.1086/686260Taxonomic resolution based on DNA barcoding affects environmental signal in metacommunity structure
resolves10.1016/j.tree.2018.09.002Microbiomes as Metacommunities: Understanding Host-Associated Microbes through Metacommunity Ecology
resolves10.3354/meps07989Taxonomic structure and the effectiveness of surrogates in environmental monitoring: a lesson from polychaetes
resolves10.1007/s10452-013-9460-1The tiny mayfly in the room: implications of size-dependent invertebrate taxonomic identification for biomonitoring data properties
resolves10.1016/j.scitotenv.2018.05.002The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
resolves10.1111/mec.14478Scaling up: A guide to high‐throughput genomic approaches for biodiversity analysis
resolves10.2307/1468175The Reference Condition: A Comparison of Multimetric and Multivariate Approaches to Assess Water-Quality Impairment Using Benthic Macroinvertebrates
resolves10.1126/science.aav9295Researchers launch plan to sequence 66,000 species in the United Kingdom. But that’s just a start
resolves10.1086/678948Performance of the standard CABIN method: comparison of BEAST models and error rates to detect simulated degradation from multiple data sets
resolves10.1899/10-016.1Can DNA barcodes of stream macroinvertebrates improve descriptions of community structure and water quality?
resolves10.1111/nph.14356Forecasting pollination declines through DNA barcoding: the potential contributions of macroecological and macroevolutionary scales of inquiry
resolves10.1016/j.ecolind.2017.06.024Assessing ecological status with diatoms DNA metabarcoding: Scaling-up on a WFD monitoring network (Mayotte island, France)
resolves10.1073/pnas.1312779110Global meta-analysis reveals no net change in local-scale plant biodiversity over time
resolves10.1111/j.1365-2427.1984.tb00039.xA preliminary classification of running‐water sites in Great Britain based on macro‐invertebrate species and the prediction of community type using environmental data
resolves10.1111/eva.12694Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
The 7 references without a DOI — listed, not checked
no DOI — not checkedStream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs
no DOI — not checkedClarke, R. (2009) Uncertainty in WFD assessments for rivers based on macroinvertebrates and RIVPACS. Integrated catchment science programme Science report: SC060044/SR4, pp. 1–87. Bristol, UK.
no DOI — not checkedECCC (2018) CABIN Canadian Aquatic Biomonitoring Network. Environment and Climate Change Canada, https://open.canada.ca/data/en/dataset/13564ca4-e330-40a5-9521-bfb1be767147
no DOI — not checkedFurse, M. et.al. (2006) The STAR project: context, objectives and approaches. The Ecological Status of European Rivers: Evaluation and Intercalibration of Assessment Methods, pp. 3–29. Springer Netherlands, Dordrecht.
no DOI — not checkedGRDI-Ecobiomics (2017) Ecobiomics: Metagenomics Based Ecosystem Biomonitoring Project, Government of Canada, Genomics R&D Initiative, Year-End Performance Report for Shared Priority Projects (2017-2018).
no DOI — not checkedModelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities
no DOI — not checkedBiomonitoring for the 21st Century: new perspectives in an age of globalisation and emerging environmental threats
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