Species traits and invasion history as predictors of freshwater fish’s invasion success in Europe

Author:

Marcolin Fabio1ORCID,Branco Paulo2,Santos José Maria2,Reino Luís3,Santana Joana3,Ribeiro Joana3,Segurado Pedro2

Affiliation:

1. Instituto Superior de Agronomia

2. Universidade de Lisboa Instituto Superior de Agronomia

3. CIBIO: Universidade do Porto Centro de Investigacao em Biodiversidade e Recursos Geneticos

Abstract

Abstract Despite the growing literature on the topic of freshwater fish invasion, few studies employed a comprehensive analysis of the stages characterizing the invasion process (i.e. invasion pathway), thereby demanding a deeper knowledge to avoid incomplete and unbiased conclusions and give support to adequate management strategies. The aim of the present study was to provide a complete analysis of the species traits and invasion history leading an alien freshwater fish species to successfully pass through the invasion pathway stages in European river basins. To predict how likely a freshwater fish species moves from each stage of the invasion pathway - release, establishment, spread and impact - to the next one, Generalized Linear Mixed Models were run, using as predictors 23 functional and ecological species traits, and seven variables describing introduction history for 127 established alien freshwater fish species in Europe. Results showed that the release and spread stages were primarily driven by variables related to the invasion history (i.e. the type and number of causes of introduction). The establishment stage was mainly driven by functional and ecological traits, while the impactstage was driven both by functional and ecological traits and invasion history. By identifying the main drivers of alien species success at a given invasion stage, this study provides scientific knowledge to design target management actions to specific stages of the invasion thus contributing to control their populations more effectively.

Publisher

Research Square Platform LLC

Reference71 articles.

1. The contribution of landscape features, climate and topography in shaping taxonomical and functional diversity of avian communities in a heterogeneous Alpine region;Anderle M;Oecologia,2022

2. Coastal Research and Planning Institute ( (2012) ) AquaNIS. b>http://www.corpi.ku.lt/databases/index.php/aquanis. Accessed 20 March 2020

3. Bartoń K(2016) () MuMIn: Multi-model Inference. R Package Version 1.15.6

4. Bates D, Sarkar D, Bates MD, Matrix L(2007) () The lme4 package. R package version, 2(1), 74

5. A proposed unified framework for biological invasions;Blackburn TM;Trends Ecol Evol,2011

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