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      Contrasting effects of bioenergy crops on biodiversity

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          Abstract

          Agriculture is driving biodiversity loss, and future bioenergy cropping systems have the potential to ameliorate or exacerbate these effects. Using a long-term experimental array of 10 bioenergy cropping systems, we quantified diversity of plants, invertebrates, vertebrates, and microbes in each crop. For many taxonomic groups, alternative annual cropping systems provided no biodiversity benefits when compared to corn (the business-as-usual bioenergy crop in the United States), and simple perennial grass–based systems provided only modest gains. In contrast, for most animal groups, richness in plant-diverse perennial systems was much higher than in annual crops or simple perennial systems. Microbial richness patterns were more eclectic, although some groups responded positively to plant diversity. Future agricultural landscapes incorporating plant-diverse perennial bioenergy cropping systems could be of high conservation value. However, increased use of annual crops will continue to have negative effects, and simple perennial grass systems may provide little improvement over annual crops.

          Abstract

          Ten bioenergy crops that could dominate future landscapes support vastly different amounts of biodiversity

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          Most cited references75

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          Cutadapt removes adapter sequences from high-throughput sequencing reads

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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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              QIIME allows analysis of high-throughput community sequencing data.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draft
                Role: InvestigationRole: MethodologyRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                22 September 2023
                22 September 2023
                : 9
                : 38
                : eadh7960
                Affiliations
                [ 1 ]Department of Entomology, Michigan State University, East Lansing, MI, USA.
                [ 2 ]Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA.
                [ 3 ]Department of Entomology, University of Kentucky, Lexington, KY, USA.
                [ 4 ]Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA.
                Author notes
                [* ]Corresponding author. Email: nate.haan@ 123456uky.edu
                [†]

                Present address: Department of Entomology, University of Kentucky, Lexington, KY, USA.

                Author information
                https://orcid.org/0000-0003-1713-7911
                https://orcid.org/0000-0003-1589-947X
                https://orcid.org/0000-0002-4071-5057
                https://orcid.org/0000-0002-7262-8978
                Article
                adh7960
                10.1126/sciadv.adh7960
                10516493
                37738354
                27cd4985-228b-489c-a559-f1c358e15b1b
                Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 14 March 2023
                : 21 August 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DEB 1832042
                Funded by: FundRef http://dx.doi.org/10.13039/100007472, University of Kentucky;
                Funded by: FundRef http://dx.doi.org/10.13039/100011138, AgBioResearch, Michigan State University;
                Funded by: FundRef http://dx.doi.org/10.13039/100015814, Great Lakes Bioenergy Research Center;
                Award ID: DE-SC0018409
                Funded by: FundRef http://dx.doi.org/10.13039/100015814, Great Lakes Bioenergy Research Center;
                Award ID: DE-FC02-07ER64494
                Categories
                Research Article
                Earth, Environmental, Ecological, and Space Sciences
                SciAdv r-articles
                Agriculture
                Applied Ecology
                Applied Ecology
                Custom metadata
                Fritzie Benzon

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