课题基金 / 基金详情

Quantifying the importance of biological factors in the estimation of larval connectivity and population dynamics in the coastal ocean.

Quantifying the importance of biological factors in the estimation of larval connectivity and population dynamics in the coastal ocean.
量化生物因素在估计沿海海洋幼体连通性和种群动态中的重要性。
批准号:
1155813
负责人:
David Siegel
金额:
$37.01万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-02-01 至 2016-01-31

项目摘要

项目成果

David Siegel的其他基金

相似基金

相关文献

中文摘要
翻译
幼虫连通性是海洋种群动态中的一个关键因素,对海洋空间规划和渔业管理具有广泛的影响。生物物理模型由海洋环流模型和拉格朗日粒子跟踪组成,现在被广泛用于提供对幼虫连接的空间和时间动力学的见解,而这些动力学仍然无法通过经验方法获得。然而,在这些模型中,许多用于描述幼虫生活史的生物学假设是相当普遍的,这些假设的影响尚未得到严格的检验。这个项目的目标是量化幼虫生物学的细节在估计连通性和长期种群动态方面的重要性。为了回答这个问题,研究人员将利用南加州海湾(SCB)近岸物种的生物物理模型,研究幼虫生物因素对点对点连通性和长期种群增长的空间和时间影响。将调查四个主要的幼虫生物学因素:(1)温度对幼虫生长、成熟和死亡的影响,(2)垂直游泳行为,(3)幼虫生产的时空变异性,(4)栖息地对定居的作用。使用SCB的生物物理模型,将通过将纳入额外生物因素的连接性估计与由被动的中性浮力粒子计算的连接性估计基线进行比较,以统计方式评估由于生物因素造成的幼虫连接性的差异。研究人员还将使用空间人口模型,由连接性估计驱动,以量化生物因素对长期人口动态的影响。该项目将对幼虫生物学的各个方面产生重要的见解,这些方面对于确定幼虫的连通性和预测未来的种群动态至关重要。这一项目的结果将促进生物物理模拟方法在沿海物种科学研究以及海洋空间规划和渔业管理中的可靠应用。这项研究的结果将有助于我们科学地理解循环在海洋生物动态和种群连通性中的作用。同样重要的是,结果将具有直接的管理应用。Siegel和Kendall都参与了海峡群岛国家海洋保护区和加利福尼亚州划定海洋保护区的进程,随着该州的海洋生物保护法(MLPA)进程进入南加州海湾的监测和评估阶段,这项研究预计将有所贡献。PI拥有丰富的让本科生和研究生参与研究的经验,每年约有20名来自不同背景的学生在他们的实验室参与研究。该项目还将通过支持一名以前没有国家科学基金会资助的女性PI(西蒙斯)和一名女性研究生的研究来保持科学的多样性。研究人员将继续在UCSB举行每周一次的空间海洋生态小组会议,这些会议已经成为研究生、博士后和教职员工的活动纽带。此外,将通过SBC LTER信息管理系统(http://sbc.lternet.edu/data).)向所有感兴趣的调查人员免费提供本项目为SCB产生的连接性估计数整个SCB的学者和资源经理都非常需要这些连接性评估。与SBC LTER的合作还将扩大他们可以进行的分析类型,并为目前的项目和SBC LTER提供附加值。
英文摘要
Larval connectivity, which quantifies the intensity and pathways of connections among populations through the dispersal of larvae, is a critical factor in marine population dynamics and has broad reaching consequences for marine spatial planning and fisheries management. Biophysical models, consisting of ocean circulation models combined with Lagrangian particle tracking, are now widely used to provide insights into the spatial and temporal dynamics of larval connectivity that remain unobtainable through empirical approaches. However, many of the biological assumptions used to characterize larval life history in these models are quite general and the impacts of these assumptions have yet to be rigorously tested. The goal of this project is to quantify How important are the details of larval biology in estimates of connectivity and long-term population dynamics? To answer this question, the investigators will study the spatial and temporal impacts of larval biological factors on site-to-site connectivity and long-term population growth using a biophysical model for near shore species in the Southern California Bight (SCB). Four major, larval biological factors will be investigated: (1) temperature effects on larval growth, maturation and mortality, (2) vertical swimming behavior, (3) spatial/temporal variability in larval production, and (4) role of habitat on settlement. Using a biophysical model of the SCB, differences in larval connectivity due to the biological factors will be assessed statistically by comparing connectivity estimates that incorporate the additional biological factors to a baseline of connectivity estimates calculated from passive, neutrally buoyant particles. The investigators will also employ a spatial demographic model, driven by the connectivity estimates, to quantify the influence of biological factors on long-term population dynamics. The project will generate significant insights into the various aspects of larval biology that are critical for determining larval connectivity and for projecting population dynamics into the future. The results of this project will improve the credible application of biophysical modeling approaches to scientific studies of coastal species as well as to marine spatial planning and fisheries management.BROADER IMPACTSThe results of this study will contribute greatly to our scientific understanding of the role of circulation in dynamics of marine organisms and population connectivity. As importantly, the results will have direct management applications. Siegel and Kendall have both been involved in the Channel Islands National Marine Sanctuary's and the State of California's processes to designate marine protected areas (MPAs) and this study is expected to contribute as the State's Marine Life Protection Act (MLPA) process moves into its monitoring and evaluation phase in the Southern California Bight. The PIs have extensive experience involving undergraduate and graduate students in research and ~20 students a year from diverse backgrounds participate in research in their labs. This project will also maintain diversity in the sciences by supporting the research of one female PI with no prior NSF support (Simons) and a female graduate student. The investigators will continue weekly group meetings in spatial marine ecology at UCSB that have become a nexus of activity for graduate students, postdocs and faculty. In addition, the connectivity estimates produced for the SCB from this project will be made freely available to all interested investigators via the SBC LTER information management system (http://sbc.lternet.edu/data). There is a great need for these connectivity estimates by both academics and resource managers throughout the SCB. This collaboration with SBC LTER will also expand the types of analyses they can conduct and provide added value to both the present project and the SBC LTER.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Theory-based Measurement of Varieties of Power Using a Novel Semi-supervised IRT Model
  • 批准号:
    2148904
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.08万
  • 财政年份:
    2022
  • 负责人:
    David Siegel
  • 依托单位:
Integrating Theory and Data to Assess Government Policy Options
  • 批准号:
    1727249
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.06万
  • 财政年份:
    2018
  • 负责人:
    David Siegel
  • 依托单位:
WORKSHOP: Behavioral Models of Politics
  • 批准号:
    1657851
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.87万
  • 财政年份:
    2017
  • 负责人:
    David Siegel
  • 依托单位:
COLLABORATIVE RESEARCH/WORKSHOP: Behavioral Models of Politics
  • 批准号:
    1541501
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.6万
  • 财政年份:
    2015
  • 负责人:
    David Siegel
  • 依托单位:
国内基金
海外基金
体数据表达与绘制的新方法研究
  • 批准号:
    61170206
  • 项目类别:
    面上项目
  • 资助金额:
    55.0万元
  • 批准年份:
    2011
  • 负责人:
    周秉锋
  • 依托单位: