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Macroinvertebrate taxa richness uncertainty and kick sampling in the establishment of Mediterranean rivers ecological status

https://doi.org/10.1016/j.ecolind.2016.07.047
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Macroinvertebrate community structure and biological traits related to flow permanence in a Mediterranean river network
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Taxonomic and biological trait differences of stream macroinvertebrate communities between mediterranean and temperate regions: implications for future climatic scenarios
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Evaluating the performance of species richness estimators: sensitivity to sample grain size
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Evaluating the precision of kick-sampling in upland streams for assessments of long-term change: the effects of sampling effort, habitat and rarity fig: 5 tab: 5
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Evaluating the potential of DNA metabarcoding for ecological status assessment under the Water Framework Directive: A case study on benthic invertebrates from Western Carpathian streams
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Technical challenges in the implementation of macroinvertebrate DNA metabarcoding in river biomonitoring: A case study from peninsular Spain—Advantages, limitations and roadmap
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Taxon and trait-based sampling curves can be used as a tool for assessing impairment in salinized headwater streams
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Performance of the STAR_ICMi macroinvertebrate index and implications for classification and biomonitoring of rivers
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DNA metabarcoding reveals metacommunity dynamics in a threatened boreal wetland wilderness
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Diverging Temporal Trends in Macroinvertebrate Communities of Iberian Streams Over 15 Years
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Influence of Sampling Effort and Taxonomic Resolution on Benthic Macroinvertebrate Taxa Richness and Bioassessment in a Non-Wadable Hard-Bottom River (China)
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Macroinvertebrate Community Responses to Multiple Pressures in a Peri-Urban Mediterranean River
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Patterns of Termite Diversity and Their Ecological Associations with Dipterocarpaceae in the Soraya Research Station, Leuser Ecosystem, Indonesia
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Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed?
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