课题基金 / 基金详情

CAREER: Spatial network structure and food web stability across a productivity gradient.

CAREER: Spatial network structure and food web stability across a productivity gradient.
职业:生产力梯度上的空间网络结构和食物网稳定性。
批准号:
1553718
负责人:
Kurt Anderson
金额:
$83.35万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-15 至 2022-09-30

项目摘要

项目成果

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中文摘要
翻译
许多对野生动物和人类福祉至关重要的环境在整个景观中分布不均。这些“斑块”环境的例子包括湿地等自然栖息地和农田等人类管理的栖息地。该项目将测试这样一种想法,即可以生活在栖息地斑块中的不同物种(生物多样性)的数量取决于动物在斑块之间移动的能力,这些斑块发生的地方以及每个斑块中可用的食物量。 了解什么决定了生物多样性是很重要的,因为它使人们能够预测和管理特别多样化的,往往是脆弱的,栖息地的补丁。 由于实际上不可能严格测试自然地区生物多样性的决定因素,因此该项目将在实验室中进行。研究人员将创造生活在水中的非常小的动物的微型,拼凑的世界,以研究在真实的世界中动物在更大尺度上发生的事情。实验将集中在物种数量,它们的传播能力,以及它们在小容器中的食物量之间的关系。 将建立一个复杂的模型来帮助分析数据,并将结果扩展到不同的动物和不同类型的栖息地斑块。实验室实验也将用于教学和推广活动,为小学学生和教师提供机会,通过实践经验学习科学方法和生态概念。 学生和教师将帮助设计和实施实验,直接为科学进程做出贡献。研究人员将通过实验测试生态系统的一个共同特征-在不规则分布的生境中的分散-是否影响基本生态单元-食物网的稳定性。研究将包括实验和理论部分。利用原生生物微观世界进行的实验将检验网络理论的假设:(1)通过随机结构的扩散网络连接的食物网将显示出比规则网络连接的食物网更大的空间稳定性和网络范围的稳定性;(2)扩散的影响将在资源生产力的梯度上变化,因为这个因素被认为会改变食物网的稳定性。实验将与机械模型相结合,将项目发现的一般性扩展到更广泛的背景,并推进一般食物网理论。这项研究还将利用原生生物微观世界的易处理性,在本科生生态学课程中提供基于探究的课程内容和学生研究项目。 来自目前在科学领域代表性不足的群体的学生将被招募,并在实验设计,数据收集,分析和演示方面得到指导。外联活动将使公立学校教师进入调查员的实验室,并将生态研究经验转化为符合下一代科学标准的课程计划。
英文摘要
Many environments that are important for wildlife and human well-being are spread unevenly across the landscape. Examples of these "patchy" environments include natural habitats like wetlands and human-managed habitats like agricultural fields. This project will test the idea that the number of different species (biodiversity) that can live in patches of habitat depends on the animals' ability to move between patches, the places where those patches occur, and the amount of food available in each patch. Understanding what determines biodiversity is important because it allows one to predict and manage especially diverse, often vulnerable, patches of habitat. Because it is practically impossible to rigorously test the determinants of biodiversity in natural areas, this project will take place in the laboratory. Researchers will create miniature, patchy worlds of very small animals that live in water to study what happens on much larger scales to animals in the real world. Experiments will focus on the relationship between the number of species, their dispersal abilities, and the amount of food available to them in small containers of water. A complicated model will be built to help analyze the data and extend the results to different animals and different types of habitat patches. The laboratory experiments will also be used in teaching and outreach activities to provide opportunities for grade-school students and teachers to learn scientific methods and ecological concepts through hands-on experiences. Both students and teachers will help design and carry out experiments, contributing directly to the scientific process.The investigator will experimentally test whether a common feature of ecological systems -- dispersal among irregularly distributed habitats -- affects the stability of a fundamental ecological unit, the food web. Research will include experimental and theoretical components. Experiments conducted using protist microcosms will test hypotheses arising from network theory that: (1) food webs connected through randomly structured dispersal networks will show greater spatial asynchrony and network-wide stability than those connected in regular networks and (2) effects of dispersal will vary across a gradient in resource productivity, as this factor is known to alter food web stability. Experiments will be integrated with mechanistic models, extending the generality of project findings to broader contexts and advancing general food web theory. The research will also leverage the tractability of protist microcosms to provide inquiry-based curriculum content and student research projects in an undergraduate ecology course. Students from groups currently underrepresented in science will be recruited and mentored in experimental design, data collection, analysis and presentation. Outreach activities will bring public school teachers into the investigator's laboratory and translate ecological research experiences into lesson plans aligned to Next Generation Science Standards.
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