Collaborative Research: The role of branching complexity in driving food chain length in rivers
合作研究:分支复杂性在驱动河流食物链长度中的作用
基本信息
- 批准号:2015634
- 负责人:
- 金额:$ 38.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The origin of variation in food chain length - the number of feeding links from producers to apex consumers in a food web - has intrigued ecologists for decades. Understanding controls of food chain length is important because it influences energy flow through ecosystems and contaminant concentrations in top predators that humans often consume. The prevailing thought has held that food chain length is determined by the size of an ecosystem. Large ecosystems can provide greater amounts of basal resources, support larger population sizes of constituent species, and/or mitigate the impact of environmental changes. However, while ample empirical evidence for the ecosystem size hypothesis exists in spatially simple systems (e.g., oceanic islands and lakes), there is less clear support in more spatially complex systems, such as branching river networks. The mixed results for the ecosystem size hypothesis in spatially complex systems imply the existence of overlooked factors that control food chain length. The project will explore the role of ecosystem complexity that is emerging as a key factor in ecosystem dynamics. Specifically, researchers will focus on the branching complexity of river networks and investigate its importance in driving food chain length. The broader impacts of this project include the following components. First, researchers will participate in outreach events through formal partnerships with K-12 schools. Second, the project will provide research training opportunities for underrepresented minorities and a postdoctoral scientist. Lastly, researchers will distribute open-source software through online repositories to facilitate the application of research products.The project will combine theoretical and empirical approaches to test the following hypotheses: (1) complex river networks, with greater levels of branching, support long food chains because having more branches (i.e., tributary systems) with distinct geological and/or climatic backgrounds may provide diverse habitats that buffer the impact of environmental fluctuations; (2) ecosystem size in rivers (watershed area) has weak effects on food chain length due to the context-dependent association between environmental heterogeneity and ecosystem size. Researchers will develop a series of mathematical models to generate predictions for the association between food chain length and branching complexity/ecosystem size. Theoretical predictions will be validated by meta-analyses of existing datasets of food chain length and environmental covariates across the globe. Overall, the project will provide important insights into how ecological communities are structured in spatially complex systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
几十年来,食物链长度变化的根源--从生产者到顶级消费者的食物链的数量--一直吸引着生态学家的兴趣。了解食物链长度的控制很重要,因为它会影响生态系统中的能量流动,以及人类经常消费的顶级捕食者的污染物浓度。普遍认为,食物链的长度由生态系统的大小决定。大型生态系统可以提供更多的基础资源,支持更大规模的组成物种,和/或减轻环境变化的影响。然而,尽管生态系统规模假说在空间上简单的系统(如海洋岛屿和湖泊)中存在充分的经验证据,但在空间上更复杂的系统中却没有那么明显的支持,例如分支河网。空间复杂系统中生态系统大小假说的混合结果表明,存在被忽视的控制食物链长度的因素。该项目将探索生态系统复杂性的作用,生态系统复杂性正在成为生态系统动力学中的一个关键因素。具体地说,研究人员将专注于河流网络的分支复杂性,并调查其在推动食物链长度方面的重要性。该项目的更广泛影响包括以下几个部分。首先,研究人员将通过与K-12学校的正式合作伙伴关系参与外展活动。其次,该项目将为代表性不足的少数民族和一名博士后科学家提供研究培训机会。最后,研究人员将通过在线资源库分发开源软件,以促进研究成果的应用。该项目将结合理论和经验方法来检验以下假设:(1)分支程度更高的复杂河流网络支持长食物链,因为拥有更多具有不同地质和/或气候背景的分支(即支流系统)可能提供不同的栖息地,以缓冲环境波动的影响;(2)河流(分水岭地区)的生态系统大小对食物链长度的影响较小,因为环境异质性和生态系统大小之间的关联取决于上下文。研究人员将开发一系列数学模型,以预测食物链长度与分支复杂性/生态系统大小之间的关联。理论预测将通过对全球食物链长度和环境协变量的现有数据集的荟萃分析来验证。总体而言,该项目将为生态社区如何在空间复杂的系统中构建提供重要的见解。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Emergent dual scaling of riverine biodiversity
- DOI:10.1073/pnas.2105574118
- 发表时间:2021-11
- 期刊:
- 影响因子:0
- 作者:Akira Terui;Seoghyun Kim;Christine L. Dolph;Taku Kadoya;Yusuke Miyazaki
- 通讯作者:Akira Terui;Seoghyun Kim;Christine L. Dolph;Taku Kadoya;Yusuke Miyazaki
Ecosystem size and complexity as extrinsic drivers of food chain length in branching ecosystems
生态系统规模和复杂性作为分支生态系统食物链长度的外在驱动因素
- DOI:10.1002/ecs2.4648
- 发表时间:2023
- 期刊:
- 影响因子:2.7
- 作者:Pomeranz, Justin P. F.;Finlay, Jacques C.;Terui, Akira
- 通讯作者:Terui, Akira
Revisiting scale invariance and scaling in ecology: River fractals as an example
重新审视生态学中的尺度不变性和尺度:以河流分形为例
- DOI:10.1002/1438-390x.12163
- 发表时间:2023
- 期刊:
- 影响因子:1.7
- 作者:Terui, Akira
- 通讯作者:Terui, Akira
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Akira Terui其他文献
Population status and factors affecting local density of endangered Japanese freshwater pearl mussel, Margaritifera laevis, in Shubuto river basin, Hokkaido.
北海道周武东河流域濒危日本淡水珍珠贝 (Margaritifera laevis) 种群状况及影响当地密度的因素.
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Akira Terui;Yusuke Miyazaki;Shin‐ichiro S. Matsuzaki;I. Washitani - 通讯作者:
I. Washitani
Species-specific use of allochthonous resources by ground beetles (Carabidae) at a river–land interface
河地交界处地面甲虫(步甲科)对异源资源的物种特异性利用
- DOI:
10.1007/s11284-016-1413-4 - 发表时间:
2016 - 期刊:
- 影响因子:2
- 作者:
Akira Terui;T. Akasaka;J. Negishi;Fumihiko Uemura;F. Nakamura - 通讯作者:
F. Nakamura
燃焼過程を考慮した炎のリアルタイムシミュレーション
考虑燃烧过程的火焰实时模拟
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Noriyuki Horigome;Akira Terui;Masahiko Mikawa;幸谷智紀;Y. Tamura;鷲野 公彰,フー ユーぜ,チャン イーリーン;藤澤 誠,佐々木 浩幸,三河 正彦 - 通讯作者:
藤澤 誠,佐々木 浩幸,三河 正彦
Solving System of Nonlinear Equations with the Genetic Algorithm and Newton’s Method
遗传算法和牛顿法求解非线性方程组
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Ryuji Koshikawa;Akira Terui;Masahiko Mikawa - 通讯作者:
Masahiko Mikawa
Constant-Working-Space Algorithms for Image Processing
用于图像处理的恒定工作空间算法
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Tateaki Sasaki;Akira Terui;T.Asano - 通讯作者:
T.Asano
Akira Terui的其他文献
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