Capacity of United States federal government and its partners to rapidly and accurately report the identity (taxonomy) of non-native organisms intercepted in early detection programs

Author:

Lyal Christopher H. C.,Miller Scott E.ORCID

Abstract

AbstractThe early detection of and rapid response to invasive species (EDRR) depends on accurate and rapid identification of non-native species. The 2016–2018 National Invasive Species Council Management Plan called for an assessment of US government (federal) capacity to report on the identity of non-native organisms intercepted through early detection programs. This paper serves as the response to that action item. Here we summarize survey-based findings and make recommendations for improving the federal government’s capacity to identify non-native species authoritatively in a timely manner. We conclude with recommendations to improve accurate identification within the context of EDRR by increasing coordination, maintaining taxonomic expertise, creating an identification tools clearinghouse, developing and using taxonomic standards for naming and identification protocols, expanding the content of DNA and DNA Barcode libraries, ensuring long-term sustainability of biological collections, and engaging and empowering citizens and citizen science groups.

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Reference192 articles.

1. Adamowicz SJ, Hollingsworth PM, Ratnasingham S, Van Der Bank M (2017) International Barcode of Life: focus on big biodiversity in South Africa. Genome 60:875–879. https://doi.org/10.1139/gen-2017-0210

2. Agnarsson I, Kuntner M (2007) Taxonomy in a changing world: seeking solutions for a science in crisis. Syst Biol 56:531–539. https://doi.org/10.1080/10635150701424546

3. Agricultural Research Service (2015) Germplasm resources information network. https://www.ars-grin.gov. Accessed 21 June 2019

4. Agricultural Research Service (2016) Addresses for urgent submissions listed by taxon. https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/systematic-entomology-laboratory/docs/font-color-006666-size-plus1bsel-addresses-for-urgent-submissions-listed-by-taxonbfont/. Accessed 21 June 2019

5. Agricultural Research Service (2017) ARS culture collection. National Center for Agricultural Utilization Research. https://nrrl.ncaur.usda.gov. Accessed 21 June 2019

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3