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What Stabilizes Population Dynamics in Nature? A New Framework for Quantifying the in situ Strength and Nonlinearity of Species Interactions

What Stabilizes Population Dynamics in Nature? A New Framework for Quantifying the in situ Strength and Nonlinearity of Species Interactions
是什么稳定了自然界的种群动态?
批准号:
1353827
负责人:
Mark Novak
金额:
$49.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-06-01 至 2018-05-31

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中文摘要
翻译
生态学中的一个基本问题是物种之间的相互作用(例如捕食者-猎物)如何导致某些物种随着时间的推移而表现出周期性的种群波动,而其他物种则不会。为了预测物种及其生态系统将如何应对环境扰动,包括生境丧失和气候变化,有必要了解这些机制。该研究项目将开发新的方法和统计分析,将应用于太平洋西北部的溪流社区。研究人员将测试有关物种种群何时会大量循环的假设。目前的理论只能解释最简单的情况,即只以一种或几种猎物为食的专业捕食者物种。然而,自然界中的大多数物种都是嵌入在物种相互作用的复杂网络中的通才。这种限制被广泛认为是资源管理和保护实践发展中的一个重大问题。这项工作有望推进一般的生态理论,并解决了一个长期存在的难题,在自然界中的捕食者-猎物相互作用的稳定性。该项目的结果将提高我们预测物种对环境干扰的反应的能力,这对野生动物管理和保护非常重要。该项目还将支持本科生和研究生以及博士后研究员的指导和研究培训。通过与俄勒冈州州立大学的小学合作计划的广泛合作,将实现与俄勒冈州当地社区的更广泛参与,该计划为小学生提供科学和数学知识,并为他们的教师提供专业发展,以增加代表性不足和教育服务不足的学生的数量,这些学生继续追求科学,数学,健康,工程,这项研究将开发一类新的观测方法,用于估计物种丰富系统中捕食者-猎物相互作用的强度。流社区的安德鲁斯实验森林长期生态研究网站的方法的观测和实验实施将被用来定量比较猎物依赖,消费者依赖和适应性觅食过程的程度,有助于经验水平的相互作用非线性。经验得出的见解将被集成到抽象的数学模型,以发展关于专家和通才消费者的动态一般理论。这项研究有望在我们的概念和应用理解的机制,捕食者-猎物的相互作用调节物种丰富的社区的动态显着进步。新的简单性和广泛的适用性的观察方法将在这里开发的承诺一个变革性的新方法来弥合数学理论和经验数据。
英文摘要
A fundamental question in ecology is how interactions among species (e.g. predator-prey) cause some species to exhibit cyclic population fluctuations over time while for other species they do not. An understanding of these mechanisms is necessary in order to forecast how species and their ecosystems will respond to environmental perturbations, including habitat loss and climate change. This research project will develop new methods and statistical analyses that will be applied to stream communities of the Pacific Northwest. The investigators will test hypotheses regarding when species populations will cycle in abundance. Current theory can explain only the most simplistic case of specialist predator species that feed on only one or a few prey species. However, most species in nature are generalists embedded in complex networks of species interactions. This limitation is widely acknowledged as a significant problem in the development of resource management and conservation practices. This work promises to advance general ecological theory and resolve a long standing puzzle concerning stability of predator-prey interactions in nature. Results of this project will improve our ability to forecast species responses to environmental disturbances, which is important in wildlife management and conservation. This project also will support the mentoring, and research training of undergraduate and graduate students, and a postdoctoral researcher. Broader involvement with Oregon's local communities will be achieved through an extensive collaboration with Oregon State University's elementary school partnership program, which provides science and math enrichment for elementary school students and professional development for their teachers in order to increase the number of underrepresented and educationally underserved students that go on to pursue careers in science, math, health, engineering, and education.This research will develop a new class of observational methods for estimating the strength of predator-prey interactions in species-rich systems. Observational and experimental implementations of the approach in stream communities of the Andrews Experimental Forest Long Term Ecological Research site will be used to quantitatively compare the degree to which prey-dependent, consumer-dependent and adaptive-foraging processes contribute to empirical levels of interaction nonlinearity. Empirically-derived insights will be integrated into abstracted mathematical models to develop general theory regarding the dynamics of specialist and generalist consumers. This research promises significant advances in our conceptual and applied understanding of the mechanisms by which predator-prey interactions regulate the dynamics of species-rich communities. The novel simplicity and broad applicability of the observational approach to be developed here promises a transformative new way to bridge mathematical theory and empirical data.
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Collaborative Research: Timescale-Dependent Effects of Transient Dynamics in Plant-Pollinator Networks
  • 批准号:
    2129758
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.05万
  • 财政年份:
    2022
  • 负责人:
    Mark Novak
  • 依托单位:
DISSERTATION RESEARCH: An Experimental Test of Generalist Foraging Behavior as a Community Stabilization Mechanism
  • 批准号:
    1702051
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.83万
  • 财政年份:
    2017
  • 负责人:
    Mark Novak
  • 依托单位:
海外基金