Collaborative Proposal: MRA: Using NEON data to elucidate the ecological effects of global environmental change on phenology across time and space

合作提案:MRA:利用 NEON 数据阐明全球环境变化对跨时间和空间物候的生态影响

基本信息

  • 批准号:
    2017785
  • 负责人:
  • 金额:
    $ 67.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-01-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

Global environmental change is causing shifts in species’ phenologies (the timing of ecological processes) and rates of acclimation (physiological adjustments to environmental change), the physiological precursors to phenological shifts. These shifts are important because they can create 'mismatches' in the performance and timing of interacting species, such as predators and prey, hosts and parasites, competitors, and plants and pollinators, which can adversely affect biodiversity and the services that ecosystems provide to humans. Despite extensive data on the phenology and acclimation of individual species, no general framework exists that can predict how phenological responses of species – and by extension species interactions – will respond to environmental change. To address this knowledge gap and provide broader impacts to society, a research team has been assembled with expertise in global change and thermal biology, ecoinformatics, mathematical and statistical modeling, and geographic information systems. The broader impacts of the project include: training the next generation of STEM undergraduates and graduate students across diverse ethnic backgrounds and genders, a graduate course on large scales and ‘big data’ in biology, and new databases for posterity that will guide conservation and monitoring for species invasions and infectious diseases.From a scientific perspective, this team proposes to i) expand phenological datasets, ii) gather data from the literature on environmental change effects on species interactions, iii) develop a quantitative global framework for predicting the direction and magnitude of effects on individual species’ phenologies and species interactions based on latitude, climate, and organismal traits, and iv) validate present-day predictions of the model by working with at least 13 existing National Ecological Observatory Network (NEON) datasets. The specific objectives are to: 1) assemble a database of time series describing phenological shifts, local climatic drivers, latitude and elevation, and organismal body sizes; 2) develop a mathematical framework for predicting the phenological responses of species to environmental change, by quantifying how phylogeny, body size, habitat, latitude, phenological trait, and environment (temperature and precipitation) affect phenology; 3) use NEON data to validate this framework by testing whether it can accurately predict the phenological responses of individual species to variability in present-day climate, from local to continental scales; 4) use NEON data to evaluate the ability of this framework to predict how variability in present-day climate will affect the strength and outcome of species interactions and ecosystem functions; and 5) once validated, couple the framework to local environmental change projections to predict species and locations around the globe that will be particularly sensitive to changing environments.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.
全球环境变化正在导致物种物候(生态过程的时机)和适应速率(生理调整环境变化)的转变,这是物候转移的物理前体。这些转变之所以重要,是因为它们可以在相互作用的物种的性能和时机中创建“不匹配”,例如捕食者和猎物,宿主和寄生虫,竞争者,植物和传粉剂,这可能会对生物多样性以及生态系统提供给人类提供的服务。尽管关于单个物种的物候和适应的广泛数据,但尚无一般框架,可以预测物种的物候反应以及扩展物种相互作用的方式会对环境变化做出反应。为了解决这一知识差距并为社会带来更广泛的影响,研究团队已在全球变化和热生物学,生态信息学,数学和统计建模以及地理信息系统方面拥有专业知识。该项目的更广泛影响包括:培训下一代的STEM大学生和研究生跨越种族背景和性别的研究生,一门关于大规模的研究生课程和生物学上的“大数据”的研究生课程,以及新的后代数据库,以指导保护和监视物种入侵和感染性疾病的保护和监测。对物种相互作用的变化影响,iii)开发一个定量的全球框架,用于预测基于纬度,气候和有机特征的物种物候和物种相互作用的影响的方向和幅度,以及iv)通过与至少13个现有的现有国家生态观测网络(NEON)数据合作来确认模型的当前预测。具体目标是:1)组装时间序列的数据库,描述了物候转移,当地的民用驱动因素,纬度和高程以及有机体大小; 2)开发一个数学框架,用于通过量化系统发育,身体大小,栖息地,纬度,物候特性和环境(温度和精度)影响物候的数学框架来预测物种对环境变化的物候反应; 3)使用霓虹灯数据通过测试是否可以准确预测物候响应来验证该框架4)使用霓虹灯数据来评估该框架的能力,以预测当今气候中的可变性如何影响物种相互作用和生态系统功能的强度和结果; 5)一旦经过验证,将框架与当地环境变化项目相结合,以预测全球范围内的物种和地点,这些物种和地点将对不断变化的环境特别敏感。该奖项反映了NSF的法定任务,并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得的支持。

项目成果

期刊论文数量(32)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Variability in environmental persistence but not per capita transmission rates of the amphibian chytrid fungus leads to differences in host infection prevalence
环境持久性的变化而非两栖壶菌的人均传播率导致宿主感染流行率的差异
  • DOI:
    10.1111/1365-2656.13612
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Rumschlag, Samantha L.;Roth, Sadie A.;McMahon, Taegan A.;Rohr, Jason R.;Civitello, David J.
  • 通讯作者:
    Civitello, David J.
Experimental evidence that host species composition alters host–pathogen dynamics in a ranavirus–amphibian assemblage
宿主物种组成改变蛙病毒-两栖动物组合中宿主-病原体动态的实验证据
  • DOI:
    10.1002/ecy.3885
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Snyder, Paul W.;Ramsay, Chloe T.;Harjoe, Carmen C.;Khazan, Emily S.;Briggs, Cheryl J.;Hoverman, Jason Todd;Johnson, Pieter T.;Preston, Daniel;Rohr, Jason R.;Blaustein, Andrew R.
  • 通讯作者:
    Blaustein, Andrew R.
Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation
  • DOI:
    10.1016/j.scitotenv.2023.168431
  • 发表时间:
    2023-11-16
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Sinervo,Barry;Resendiz,Rafael A. Lara;de la Cruz,Fausto R. Mendez
  • 通讯作者:
    de la Cruz,Fausto R. Mendez
The evolution of macrosystems biology
宏观系统生物学的演变
  • DOI:
    10.1002/fee.2288
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    10.3
  • 作者:
    LaRue, Elizabeth A;Rohr, Jason;Knott, Jonathan;Dodds, Walter K;Dahlin, Kyla M;Thorp, James H;Johnson, Jeremy S;Rodríguez González, Mayra I;Hardiman, Brady S;Keller, Michael
  • 通讯作者:
    Keller, Michael
Pseudacris regilla metamorphs acquire resistance to Batrachochytrium dendrobatidis after exposure to the killed fungus
暴露于被杀死的真菌后,Pseudacris regilla 变体获得了对 Batrachochytrium dendrobatidis 的抗性
  • DOI:
    10.3354/dao03753
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    McMahon, TA;Nordheim, CL;Detmering, SE;Johnson, PTJ;Rohr, JR;Civitello, DJ
  • 通讯作者:
    Civitello, DJ
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Jason Rohr其他文献

Aquatic herbicide exposure increases salamander desiccation risk eight months later in a terrestrial environment
八个月后,在陆地环境中,接触水生除草剂会增加蝾螈脱水的风险
Response of arthropod biodiversity to foundation species declines: The case of the eastern hemlock
节肢动物生物多样性对基础物种下降的反应:以东部铁杉为例
  • DOI:
    10.1016/j.foreco.2009.07.002
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Jason Rohr;Carolyn G. Mahan;Ke Chung Kim
  • 通讯作者:
    Ke Chung Kim
Pesticide-induced Alterations to Phytoplankton Abundance and Community Structure Alter Ecosystem Respiration: Implications for the Carbon Cycle?
农药引起的浮游植物丰度和群落结构的改变改变了生态系统呼吸:对碳循环的影响?
  • DOI:
    10.1101/2020.10.15.341065
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Samantha L. Rumschlag;D. Casamatta;Michael B. Mahon;J. Hoverman;T. Raffel;H. Carrick;P. Hudson;Jason Rohr
  • 通讯作者:
    Jason Rohr
The invasive acanthocephalan parasite <em>Pachysentis canicola</em> is associated with a declining endemic island fox population on San Miguel Island
  • DOI:
    10.1016/j.ijpara.2024.09.003
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    O. Alejandro Aleuy;Leslie W. Woods;Benjamin J. Padilla;Dennis Richardson;Juliann T. Schamel;Stacy Baker;Martín García-Varela;Charlotte Hammond;Sarah P. Lawson;Jasmine N. Childress;Jason Rohr;Kevin D. Lafferty
  • 通讯作者:
    Kevin D. Lafferty
Loss of Trematode Parthenitae in Planorbella trivolvis (Mollusca: Gastropoda)
Planorbella trivolvis 中吸虫的损失(软体动物:腹足纲)
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    1.3
  • 作者:
    B. Sears;Jason Rohr
  • 通讯作者:
    Jason Rohr

Jason Rohr的其他文献

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{{ truncateString('Jason Rohr', 18)}}的其他基金

Identifying local-to-global "win-win" solutions for human health and sustainability through infectious disease control
通过传染病控制确定人类健康和可持续发展的地方到全球“双赢”解决方案
  • 批准号:
    2109293
  • 财政年份:
    2021
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Managing epidemics in wildlife with acquired resistance
合作研究:管理具有获得性耐药性的野生动物中的流行病
  • 批准号:
    1947573
  • 财政年份:
    2019
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Managing epidemics in wildlife with acquired resistance
合作研究:管理具有获得性耐药性的野生动物中的流行病
  • 批准号:
    1754868
  • 财政年份:
    2018
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Standard Grant
The Influence of Temporal and Spatial Scales on Drivers of Host-Parasite Interactions
时空尺度对宿主-寄生虫相互作用驱动因素的影响
  • 批准号:
    1241889
  • 财政年份:
    2013
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Community Ecology as a Framework for Understanding Disease Dynamics
合作研究:群落生态学作为理解疾病动态的框架
  • 批准号:
    0809487
  • 财政年份:
    2007
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Continuing Grant
Collaborative Research: Community Ecology as a Framework for Understanding Disease Dynamics
合作研究:群落生态学作为理解疾病动态的框架
  • 批准号:
    0516227
  • 财政年份:
    2005
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Continuing Grant

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相似海外基金

Collaborative Proposal: MRA: Macroecology of microorganisms: Scaling fungal biodiversity from soil cores to the North American continent
合作提案:MRA:微生物宏观生态学:将真菌生物多样性从土壤核心扩展到北美大陆
  • 批准号:
    2244711
  • 财政年份:
    2022
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    $ 67.2万
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Collaborative Proposal: MRA: Local- to continental-scale drivers of biodiversity across the National Ecological Observatory Network (NEON)
合作提案:MRA:国家生态观测站网络 (NEON) 区域到大陆范围的生物多样性驱动因素
  • 批准号:
    2301322
  • 财政年份:
    2022
  • 资助金额:
    $ 67.2万
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Collaborative Proposal: MRA: Quantifying phenological coherence and seasonal predictability across NEON and USA-NPN monitoring sites
合作提案:MRA:量化 NEON 和 USA-NPN 监测站点的物候一致性和季节可预测性
  • 批准号:
    2017815
  • 财政年份:
    2021
  • 资助金额:
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Collaborative Proposal: MRA: Using NEON data to elucidate the ecological effects of global environmental change on phenology across time and space
合作提案:MRA:利用 NEON 数据阐明全球环境变化对跨时间和空间物候的生态影响
  • 批准号:
    2017463
  • 财政年份:
    2021
  • 资助金额:
    $ 67.2万
  • 项目类别:
    Standard Grant
Collaborative Proposal: MRA: Using NEON data to elucidate the ecological effects of global environmental change on phenology across time and space
合作提案:MRA:利用 NEON 数据阐明全球环境变化对跨时间和空间物候的生态影响
  • 批准号:
    2017740
  • 财政年份:
    2021
  • 资助金额:
    $ 67.2万
  • 项目类别:
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