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Spatial Modeling as a Decision-making Tool for Invasive Species Management in the Great Lakes.

机译:空间建模作为大湖地区入侵物种管理的决策工具。

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摘要

Due to recent recognition that ballast water is playing an important role in the spread of invasive species within the Great Lakes, there has been increasing interest in implementing management strategies that include a secondary spread component for ballast discharge. Using ballast water data for ships visiting U.S. ports in the Great Lakes, I created a dynamic spatial model to simulate the spread of invasive species based on recent shipping patterns. My goal in producing this model was to provide information to natural resource managers, scientists, and policy-makers to help effectively regulate invasive species issues. In testing the model, I determined that including the number of discharging ship visits that a location receives from previously infested areas and the ability of an organism to survive in the ballast tank were important in more accurately identifying the past spread of the fish virus, viral hemorrhagic septicemia virus (VHSV), zebra mussel (Dreissena polymorpha), and Eurasian Ruffe (Gymnocephalus cernuus), than discharge location alone. I also included and tested a localized spread distance that simulated the dispersal of an invasive species upon being discharged at a location. I first applied the model to identify if ballast water played a role in the secondary spread of VHSV. Results indicated that ballast water movement has contributed to the spread of VHSV in the Great Lakes, albeit it is not the only vector of secondary spread. However, ballast water management would be an important part of any plan in preventing the future spread of VHSV in an ecosystem. Next, I applied the model to predict the future spread of Eurasian Ruffe, which already occurs in the Great Lakes, and two species that do not, golden mussel (Limnoperna fortune) and killer shrimp (Dikerogammerus villosus). The results of the prediction models are intended to be used to help direct early detection monitoring efforts. The Eurasian Ruffe results are currently being used by The Nature Conservancy in their eDNA monitoring efforts, and have led to the positive detection of ruffe eDNA in a location where ruffe has previously not been detected. Finally, I applied the model to identify potentially "safe" ballast water exchange (BWE) sites in Lake Michigan. The purpose of this exercise was to locate mid-lake sites where ships could exchange and flush their ballast tanks, so as to reduce the probability that species are able to survive and establish new populations in the Great Lakes. Potential BWE sites were identified by inputting the results of Lake Michigan circulation models into the ballast water model to determine which sites led to no or minimal spread throughout the Great Lakes. Results of model applications have led to specific predictions for species and management scenarios identified by invasive species managers that have previously not been made for ballast water management in the Great Lakes before.
机译:由于最近认识到压舱水在大湖区的入侵物种扩散中起着重要作用,因此人们对实施包括用于压舱物排放的次级扩散成分在内的管理策略的兴趣日益浓厚。我使用压载水数据访问大湖地区美国港口的船舶,创建了一个动态空间模型,根据最近的运输模式来模拟入侵物种的扩散。我产生这个模型的目的是向自然资源管理者,科学家和决策者提供信息,以帮助有效地管理入侵物种问题。在测试该模型时,我认为,包括一个地点从先前受灾区域获得的卸船访问次数以及生物在压载舱中生存的能力,对于更准确地识别过去的鱼病毒,病毒传播至关重要出血性败血病病毒(VHSV),斑马贻贝(Dreissena polymorpha)和欧亚Ruffe(Gymnocephalus cernuus)比单独出院的位置要多。我还包括并测试了局部扩散距离,该距离模拟了入侵物种在某个地点出院后的扩散情况。我首先应用该模型来确定压载水是否在VHSV的二次扩散中起作用。结果表明,压舱水的移动虽然不是次生扩散的唯一媒介,但也促进了VHSV在大湖地区的扩散。但是,压载水管理将成为任何计划的重要组成部分,以防止VHSV将来在生态系统中传播。接下来,我应用该模型预测了已经在五大湖中发生过的欧亚Ruffe的未来传播,以及两种不传播的物种,即金贻贝(Limnoperna幸运)和杀手虾(Dikerogammerus villosus)。预测模型的结果旨在用于帮助指导早期检测监视工作。大自然保护协会目前正在使用欧亚Ruffe结果进行eDNA监测工作,并导致在以前从未发现过ruffe的地方对ruffe eDNA进行了阳性检测。最后,我将模型应用于识别密歇根湖中潜在的“安全”压载水交换(BWE)地点。这项工作的目的是在湖中​​位置定位船只可以交换和冲洗压载水舱的地点,以减少物种能够在大湖中生存和建立新种群的可能性。通过将密歇根湖循环模型的结果输入压载水模型中,以确定哪些站点导致整个五大湖没有扩散或扩散最小,来确定潜在的BWE站点。模型应用的结果导致对入侵物种管理者确定的物种和管理方案进行了具体预测,而以前从未在大湖区进行压舱水管理。

著录项

  • 作者

    Sieracki, Jennifer L.;

  • 作者单位

    The University of Toledo.;

  • 授予单位 The University of Toledo.;
  • 学科 Aquatic sciences.;Ecology.;Environmental science.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 374 p.
  • 总页数 374
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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