Sexual dimorphism in an invasive population of suckermouth armored catfish: Implications for management

Author:

Arend Wesley A.1,Mangold Rebecca D.1ORCID,Riggins Christopher L.2,Garoutte Collin2,Rodriguez Yeyetzi2,Heard Thomas C.2,Menchaca Nick3,Williamson Janaye3,McDonald Dusty4,Daugherty Daniel5,McGarrity Monica6,Conway Kevin W.17,Perkin Joshuah S.1ORCID

Affiliation:

1. Department of Ecology and Conservation Biology Texas A&M University College Station Texas USA

2. Meadows Center for Water and the Environment Texas State University San Marcos Texas USA

3. Atlas Environmental San Marcos Texas USA

4. Texas Parks and Wildlife Department, Inland Fisheries Division, Corpus Christi Fisheries Management District Mathis Texas USA

5. Texas Parks and Wildlife Department, Inland Fisheries Division, Heart of the Hills Fisheries Science Center Mountain Home Texas USA

6. Texas Parks and Wildlife Department, Inland Fisheries Division Austin Texas USA

7. Biodiversity Research and Teaching Collections Texas A&M University College Station Texas USA

Abstract

AbstractObjectiveSuckermouth armored catfishes (SACs; Loricariidae) have invaded water bodies outside their native range globally. Population control methods, including removals and genetic biocontrols, may be enhanced through greater knowledge of sex discrimination, sex ratios, and potential sex bias among control methods.MethodsWe investigated sexual dimorphism and population sex ratio for an invasive SAC population of Hypostomus sp. in the upper San Marcos River, Texas, USA, as a means of advancing ongoing management of the population.ResultAmong 385 specimens obtained at random during a planned dewatering of a 100‐m reach of the river, the sex ratio was biased toward females (proportion of females = 0.60). Morphometric analyses of 105 females and 108 males based on a generalized boosted classification model revealed elongated dorsal and anal fins in males correctly classified sex for 83% of individuals (95% CI = 77–88%). Seven independent observers used results from the generalized boosted classification model to assign sex to 30 fish, with average accuracy of 72% (range = 43–83%). The accuracy of the model and validation exercises were highest for fish >240 mm total length, the estimated length of reproductive maturity.ConclusionMorphometrics based on dorsal‐ and anal‐fin sizes can be used to infer sex externally from hundreds of SACs removed per year to evaluate long‐term population management success.

Funder

National Institute of Food and Agriculture

Texas Parks and Wildlife Department

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

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