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        <title xml:lang="eng">Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada</title>
        <creator>
            <individualName>
                <givenName>Dirk </givenName>
                <surName>Steinke</surName>
            </individualName>
            <organizationName>Centre for Biodiversity Genomics</organizationName>
            <positionName>Research Scientist </positionName>
            <address>
                <city>Guelph</city>
                <administrativeArea>Ontario</administrativeArea>
                <country>CA</country>
            </address>
            <electronicMailAddress>dsteinke@uoguelph.ca</electronicMailAddress>
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        <pubDate>
            2026-03-26
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        <language>eng</language>
        <abstract>
            <para>This dataset was generated as part of the Food from Thought ecosystem genomics project (2019-2022) which’s overarching goal was to develop innovative ways to link reliable field estimates of organismal abundance with evidence of biodiversity obtained through metabarcoding (this dataset), eDNA, and image analysis of bulk samples.By gathering data through metabarcoding of malaise trap samples across sites in southern Ontario that span the gradient of from intense and highly productive corn-soybean farming to alternative land use farms with varying amounts natural restoration of marginal lands, this work generated one of deepest datasets available for comparison with factors influencing arthropod biodiversity in relation to farming practices, climatic variation, physical features, and landscape heterogeneity. This work established elements of a standardized methodology for biodiversity monitoring and environmental impact assessment, identified key uncertainties with respect to field metrics based on DNA-based methodologies, and outlined a framework for early warning of insect pest outbreaks and/or decline of beneficial insect species.The two datasets represent DNA-based occurrences in Darwin Core Format (dwc). The first is a dwc occurrence dataset and the second the corresponding DNA-derived extension table based on GBIF recommendations.</para>
        </abstract>
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            <keyword>Occurrence</keyword>
            <keyword>Metabarcoding</keyword>
            <keyword>Arthropoda</keyword>
            <keyword>Agriculture</keyword>
            <keyword>Ecosystem</keyword>
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            <para>This work is licensed under a <ulink url="http://creativecommons.org/licenses/by/4.0/legalcode"><citetitle>Creative Commons Attribution (CC-BY 4.0) License</citetitle></ulink>.</para>
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                        <calendarDate>2018-04-24</calendarDate>
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                        <calendarDate>2020-10-09</calendarDate>
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                <para></para>
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                <givenName>Dirk</givenName>
                <surName>Steinke</surName>
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            <positionName>Research Scientist </positionName>
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                <administrativeArea>Ontario</administrativeArea>
                <country>CA</country>
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                <citation identifier="https://doi.org/10.5281/zenodo.15345117">Centre for Biodiversity Genomics. (2025). Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada</citation>
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