Standardized NEON organismal data for biodiversity research
Abstract Understanding patterns and drivers of species distribution and abundance, and thus biodiversity, is a core goal of ecology. Despite advances in recent decades, research into these patterns and processes is currently limited by a lack of standardized, high‐quality, empirical data that span l...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-07-01
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| Series: | Ecosphere |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ecs2.4141 |
| _version_ | 1811311946483367936 |
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| author | Daijiang Li Sydne Record Eric R. Sokol Matthew E. Bitters Melissa Y. Chen Y. Anny Chung Matthew R. Helmus Ruvi Jaimes Lara Jansen Marta A. Jarzyna Michael G. Just Jalene M. LaMontagne Brett A. Melbourne Wynne Moss Kari E. A. Norman Stephanie M. Parker Natalie Robinson Bijan Seyednasrollah Colin Smith Sarah Spaulding Thilina D. Surasinghe Sarah K. Thomsen Phoebe L. Zarnetske |
| author_facet | Daijiang Li Sydne Record Eric R. Sokol Matthew E. Bitters Melissa Y. Chen Y. Anny Chung Matthew R. Helmus Ruvi Jaimes Lara Jansen Marta A. Jarzyna Michael G. Just Jalene M. LaMontagne Brett A. Melbourne Wynne Moss Kari E. A. Norman Stephanie M. Parker Natalie Robinson Bijan Seyednasrollah Colin Smith Sarah Spaulding Thilina D. Surasinghe Sarah K. Thomsen Phoebe L. Zarnetske |
| author_sort | Daijiang Li |
| collection | DOAJ |
| description | Abstract Understanding patterns and drivers of species distribution and abundance, and thus biodiversity, is a core goal of ecology. Despite advances in recent decades, research into these patterns and processes is currently limited by a lack of standardized, high‐quality, empirical data that span large spatial scales and long time periods. The NEON fills this gap by providing freely available observational data that are generated during robust and consistent organismal sampling of several sentinel taxonomic groups within 81 sites distributed across the United States and will be collected for at least 30 years. The breadth and scope of these data provide a unique resource for advancing biodiversity research. To maximize the potential of this opportunity, however, it is critical that NEON data be maximally accessible and easily integrated into investigators' workflows and analyses. To facilitate its use for biodiversity research and synthesis, we created a workflow to process and format NEON organismal data into the ecocomDP (ecological community data design pattern) format that were available through the ecocomDP R package; we then provided the standardized data as an R data package (neonDivData). We briefly summarize sampling designs and data wrangling decisions for the major taxonomic groups included in this effort. Our workflows are open‐source so the biodiversity community may: add additional taxonomic groups; modify the workflow to produce datasets appropriate for their own analytical needs; and regularly update the data packages as more observations become available. Finally, we provide two simple examples of how the standardized data may be used for biodiversity research. By providing a standardized data package, we hope to enhance the utility of NEON organismal data in advancing biodiversity research and encourage the use of the harmonized ecocomDP data design pattern for community ecology data from other ecological observatory networks. |
| first_indexed | 2024-04-13T10:26:39Z |
| format | Article |
| id | doaj.art-e68b4414bade4594b53cb91135ca1931 |
| institution | Directory Open Access Journal |
| issn | 2150-8925 |
| language | English |
| last_indexed | 2024-04-13T10:26:39Z |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecosphere |
| spelling | doaj.art-e68b4414bade4594b53cb91135ca19312022-12-22T02:50:17ZengWileyEcosphere2150-89252022-07-01137n/an/a10.1002/ecs2.4141Standardized NEON organismal data for biodiversity researchDaijiang Li0Sydne Record1Eric R. Sokol2Matthew E. Bitters3Melissa Y. Chen4Y. Anny Chung5Matthew R. Helmus6Ruvi Jaimes7Lara Jansen8Marta A. Jarzyna9Michael G. Just10Jalene M. LaMontagne11Brett A. Melbourne12Wynne Moss13Kari E. A. Norman14Stephanie M. Parker15Natalie Robinson16Bijan Seyednasrollah17Colin Smith18Sarah Spaulding19Thilina D. Surasinghe20Sarah K. Thomsen21Phoebe L. Zarnetske22Department of Biological Sciences Louisiana State University Baton Rouge Louisiana USADepartment of Biology Bryn Mawr College Bryn Mawr Pennsylvania USANational Ecological Observatory Network (NEON), Battelle Boulder Colorado USADepartment of Ecology and Evolutionary Biology University of Colorado Boulder Boulder Colorado USADepartment of Ecology and Evolutionary Biology University of Colorado Boulder Boulder Colorado USADepartments of Plant Biology and Plant Pathology University of Georgia Athens Georgia USAIntegrative Ecology Lab, Center for Biodiversity, Department of Biology Temple University Philadelphia Pennsylvania USASt. Edward's University Austin Texas USADepartment of Environmental Science and Management Portland State University Portland Oregon USADepartment of Evolution, Ecology and Organismal Biology The Ohio State University Columbus Ohio USAEcological Processes Branch U.S. Army ERDC CERL Champaign Illinois USADepartment of Biological Sciences DePaul University Chicago Illinois USADepartment of Ecology and Evolutionary Biology University of Colorado Boulder Boulder Colorado USADepartment of Ecology and Evolutionary Biology University of Colorado Boulder Boulder Colorado USADepartment of Environmental Science, Policy, and Management University of California Berkeley Berkeley California USANational Ecological Observatory Network (NEON), Battelle Boulder Colorado USANational Ecological Observatory Network (NEON), Battelle Boulder Colorado USASchool of Informatics, Computing and Cyber Systems Northern Arizona University Flagstaff Arizona USAEnvironmental Data Initiative University of Wisconsin‐Madison Madison Wisconsin USAInstitute of Arctic and Alpine Research (INSTAAR) University of Colorado Boulder Boulder Colorado USADepartment of Biological Sciences Bridgewater State University Bridgewater Massachusetts USADepartment of Integrative Biology Oregon State University Corvallis Oregon USADepartment of Integrative Biology Michigan State University East Lansing Michigan USAAbstract Understanding patterns and drivers of species distribution and abundance, and thus biodiversity, is a core goal of ecology. Despite advances in recent decades, research into these patterns and processes is currently limited by a lack of standardized, high‐quality, empirical data that span large spatial scales and long time periods. The NEON fills this gap by providing freely available observational data that are generated during robust and consistent organismal sampling of several sentinel taxonomic groups within 81 sites distributed across the United States and will be collected for at least 30 years. The breadth and scope of these data provide a unique resource for advancing biodiversity research. To maximize the potential of this opportunity, however, it is critical that NEON data be maximally accessible and easily integrated into investigators' workflows and analyses. To facilitate its use for biodiversity research and synthesis, we created a workflow to process and format NEON organismal data into the ecocomDP (ecological community data design pattern) format that were available through the ecocomDP R package; we then provided the standardized data as an R data package (neonDivData). We briefly summarize sampling designs and data wrangling decisions for the major taxonomic groups included in this effort. Our workflows are open‐source so the biodiversity community may: add additional taxonomic groups; modify the workflow to produce datasets appropriate for their own analytical needs; and regularly update the data packages as more observations become available. Finally, we provide two simple examples of how the standardized data may be used for biodiversity research. By providing a standardized data package, we hope to enhance the utility of NEON organismal data in advancing biodiversity research and encourage the use of the harmonized ecocomDP data design pattern for community ecology data from other ecological observatory networks.https://doi.org/10.1002/ecs2.4141biodiversitydata packagedata productEDIorganismal dataR |
| spellingShingle | Daijiang Li Sydne Record Eric R. Sokol Matthew E. Bitters Melissa Y. Chen Y. Anny Chung Matthew R. Helmus Ruvi Jaimes Lara Jansen Marta A. Jarzyna Michael G. Just Jalene M. LaMontagne Brett A. Melbourne Wynne Moss Kari E. A. Norman Stephanie M. Parker Natalie Robinson Bijan Seyednasrollah Colin Smith Sarah Spaulding Thilina D. Surasinghe Sarah K. Thomsen Phoebe L. Zarnetske Standardized NEON organismal data for biodiversity research Ecosphere biodiversity data package data product EDI organismal data R |
| title | Standardized NEON organismal data for biodiversity research |
| title_full | Standardized NEON organismal data for biodiversity research |
| title_fullStr | Standardized NEON organismal data for biodiversity research |
| title_full_unstemmed | Standardized NEON organismal data for biodiversity research |
| title_short | Standardized NEON organismal data for biodiversity research |
| title_sort | standardized neon organismal data for biodiversity research |
| topic | biodiversity data package data product EDI organismal data R |
| url | https://doi.org/10.1002/ecs2.4141 |
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