23
views
0
recommends
+1 Recommend
2 collections
    0
    shares

      Publish your biodiversity research with us!

      Submit your article here.

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Towards conserving natural diversity: A biotic inventory by observations, specimens, DNA barcoding and high-throughput sequencing methods

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Kenai National Wildlife Refuge has been given a broad conservation mandate to conserve natural diversity. A prerequisite for fulfilling this purpose is to be able to identify the species and communities that make up that biodiversity.

          We tested a set of varied methods for inventory and monitoring of plants, birds and terrestrial invertebrates on a grid of 40 sites in a 938 ha study area in the Slikok Creek watershed, Kenai Peninsula, Alaska. We sampled plants and lichens through observation and specimen-based methods. We surveyed birds using bird call surveys on variable circular plots. We sampled terrestrial arthropods by sweep net sampling, processing samples with High Throughput Sequencing methods. We surveyed for earthworms, using the hot mustard extraction method and identified worm specimens by morphology and DNA barcoding. We examined community membership using clustering methods and Nonmetric Multidimensional Scaling.

          We documented a total of 4,764 occurrences of 984 species and molecular operational taxonomic units: 87 vascular plants, 51 mosses, 12 liverworts, 111 lichens, 43 vertebrates, 663 arthropods, 9 molluscs and 8 annelid worms. Amongst these records, 102 of the arthropod species appeared to be new records for Alaska. We found three non-native species: Deroceras agreste (Linnaeus, 1758) ( Stylommatophora : Agriolimacidae ), Dendrobaena octaedra (Savigny, 1826) ( Crassiclitellata : Lumbricidae ) and Heterarthrus nemoratus (Fallén, 1808) ( Hymenoptera : Tenthredinidae ). Both D. octaedra and H. nemoratus were found at sites distant from obvious human disturbance. The 40 sites were grouped into five community groups: upland mixed forest, black spruce forest, open deciduous forest, shrub-sedge bog and willow.

          We demonstrated that, at least for a subset of species that could be detected using these methods, we were able to document current species distributions and assemblages in a way that could be efficiently repeated for the purposes of biomonitoring. While our methods could be improved and additional methods and groups could be added, our combination of techniques yielded a substantial portion of the data necessary for fulfilling Kenai National Wildlife Refuge's broad conservation purposes.

          Related collections

          Most cited references111

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Cutadapt removes adapter sequences from high-throughput sequencing reads

                Bookmark

                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                27 February 2020
                : 8
                : e50124
                Affiliations
                [1 ] U.S. Fish & Wildlife Service, Kenai National Wildlife Refuge, Soldotna, Alaska, United States of America U.S. Fish & Wildlife Service, Kenai National Wildlife Refuge Soldotna, Alaska United States of America
                [2 ] Salish Kootenai College, Pablo, Montana, United States of America Salish Kootenai College Pablo, Montana United States of America
                [3 ] U.S. Fish & Wildlife Service, North Florida Ecological Services Office, Jacksonville, Florida, United States of America U.S. Fish & Wildlife Service, North Florida Ecological Services Office Jacksonville, Florida United States of America
                [4 ] City of Soldotna, Planning and Zoning Commision, Soldotna, Alaska, United States of America City of Soldotna, Planning and Zoning Commision Soldotna, Alaska United States of America
                [5 ] Auburn University, School of Forestry & Wildlife Sciences, Auburn, Alabama, United States of America Auburn University, School of Forestry & Wildlife Sciences Auburn, Alabama United States of America
                [6 ] Michigan State University, College of Agriculture & Natural Resources, Department of Fisheries and Wildlife, East Lansing, Michigan, United States of America Michigan State University, College of Agriculture & Natural Resources, Department of Fisheries and Wildlife East Lansing, Michigan United States of America
                [7 ] U.S. Fish & Wildlife Service (retired), Soldotna, Alaska, United States of America U.S. Fish & Wildlife Service (retired) Soldotna, Alaska United States of America
                [8 ] University of Alaska Fairbanks, Fairbanks, Alaska, United States of America University of Alaska Fairbanks Fairbanks, Alaska United States of America
                Author notes
                Corresponding author: Matthew Lewis Bowser ( matt_bowser@ 123456fws.gov ).

                Academic editor: John James Wilson

                Author information
                https://orcid.org/0000-0003-4879-3997
                Article
                50124 10620
                10.3897/BDJ.8.e50124
                7058680
                32165853
                5b31e6e8-a556-4828-afcf-26c7ff0ccaff

                This is an open access article distributed under the terms of the CC0 Public Domain Dedication.

                History
                : 14 January 2020
                : 15 February 2020
                Page count
                Figures: 12, Tables: 1, References: 111
                Categories
                Research Article

                biomonitoring,metabarcoding,vegetation,birds,terrestrial invertebrates,earthworms

                Comments

                Comment on this article