Optimising an integrated pest-management strategy for a spatially structured population of common carp (Cyprinus carpio) using meta-population modelling

Author:

Brown Paul,Gilligan Dean

Abstract

To evaluate strategies within a carp-control plan, we developed a meta-population model of the geographic arrangement, biological connections and ‘unfished’ stock structure of the pest population of common carp (Cyprinus carpio) in a large river catchment. The model was tuned to recent observations of biomass. Published data were used to estimate sampling biases and yield from available carp-control tools. We simulated proposed carp-removal activities and also the potential effects of biological-control options; cyprinid herpesvirus-3 (CHV-3) and daughterless-carp gene technology. Outputs compared the population abundance before carp control (before 2009) and after a ~70-year period of sustained management. Models suggest that the proposed levels of carp removal may reduce biomass by ~50%. Although substantial, this control level may not be sufficient to reduce carp biomass densities below thresholds associated with ecological damage. In contrast, a CHV-3 bio-control program has potential to reduce carp biomass densities to, or exceeding, target levels, if mortality rates exceed 30% and broad-scale outbreaks occur in at least 40% of years, despite the likely development of resistance. A synergistic bio-control program using CHV-3, followed by a gene technology-based sex-ratio distortion program, is potentially the most effective strategy for reducing carp biomass by over 90% in the long term.

Publisher

CSIRO Publishing

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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