Collaborative Research: Spatiotemporal models of phenology: Integrating the effects of climate change on plants and animals

合作研究:物候时空模型:整合气候变化对动植物的影响

基本信息

项目摘要

The global climate is undergoing changes in temperature and precipitation that are altering the abundance and distribution of species around the world. Species that are important from conservation, ecological, cultural, and economic perspectives may face decline and extinction in coming decades. Phenology, the timing of biological events, has emerged as a key indicator of species response to global warming and other aspects of climate change. Phenology includes the flowering and leafing out dates of plants, first arrival dates of birds, and other events throughout the year. The ability of scientists to predict how climate change will affect species and biological communities remains very limited, especially at the scale of countries and continents. Researchers in this project will study the year-round phenological trends since 1953 of numerous plant and animal species using data from 176 meteorological sites across Japan and South Korea. These records cover more species, a longer time period, and more sites than any comparable data set from the United States, and can be used to develop innovative methods of analysis that can be applied to species in the United States and elsewhere. At field sites in Japan, the researchers will examine ecological interactions, e.g., between plants and pollinators, to determine the potential for ecological mismatches among species with different responses to climate change. The U.S. researchers will train undergraduate and graduate students and will work with scientists from Japan, South Korea, China, and Europe, and the new U.S. National Phenological Network, thereby strengthening international connections among climate change researchers.
全球气候正在经历温度和降水量的变化,这些变化正在改变世界各地物种的丰度和分布。从保护,生态,文化和经济角度来看,重要的物种可能会在未来几十年内面临衰退和灭绝。物候,生物事件的时间,已成为物种对全球变暖和气候变化的其他方面的反应的关键指标。 物候学包括植物的开花和长叶日期,鸟类的第一次到达日期,以及全年的其他事件。科学家预测气候变化将如何影响物种和生物群落的能力仍然非常有限,特别是在国家和大陆的规模上。该项目的研究人员将利用来自日本和韩国176个气象站点的数据,研究自1953年以来许多植物和动物物种的全年物候趋势。这些记录涵盖了更多的物种,更长的时间段和更多的网站比任何可比数据集从美国,并可用于开发创新的分析方法,可适用于物种在美国和其他地方。在日本的实地考察中,研究人员将研究生态相互作用,例如,在植物和传粉者之间建立联系,以确定对气候变化有不同反应的物种之间生态不匹配的可能性。美国研究人员将培训本科生和研究生,并将与来自日本,韩国,中国和欧洲的科学家以及新的美国国家物候网络合作,从而加强气候变化研究人员之间的国际联系。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ines Ibanez其他文献

Precise 3D Localization of Intracerebral Implants with a simple Brain Clearing Method
使用简单的大脑清除方法对脑内植入物进行精确 3D 定位
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Julien Catanese;Tatsuya C. Murakami;Paul Kenny;Ines Ibanez
  • 通讯作者:
    Ines Ibanez

Ines Ibanez的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Ines Ibanez', 18)}}的其他基金

Collaborative Research: Continent-wide forest recruitment change: the interactions between climate, habitat, and consumers
合作研究:全大陆森林补充变化:气候、栖息地和消费者之间的相互作用
  • 批准号:
    2211765
  • 财政年份:
    2022
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Assessing the Contribution of Nitrogen from Soil Organic Matter on Plant Growth Response to Elevated Carbon Dioxide
评估土壤有机质中的氮对植物生长对二氧化碳升高的反应的贡献
  • 批准号:
    2132002
  • 财政年份:
    2022
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
OPUS: Enhancing capabilities through synthesis for forecasting tree species population trajectories under changing environments
OPUS:通过综合增强预测变化环境下树种种群轨迹的能力
  • 批准号:
    2041933
  • 财政年份:
    2021
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
DISSERTATION RESEARCH: Is the grass greener on the other side? Understanding plant range expansion dynamics in a changing world
论文研究: 那边的草更绿吗?
  • 批准号:
    1309805
  • 财政年份:
    2013
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
CAREER:The emergence of novel regeneration niches- Forecasting tree species recruitment dynamics in a time of change
职业:新的再生生态位的出现 - 预测变革时期的树种补充动态
  • 批准号:
    1252664
  • 财政年份:
    2013
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Continuing Grant
EAGER: The Role of Plant-Soil Feedbacks on Species Potential to Expand their Distributional Ranges in Response to Climate Change
EAGER:植物-土壤反馈对物种扩大分布范围以应对气候变化的潜力的作用
  • 批准号:
    0947783
  • 财政年份:
    2009
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science
合作研究:规划:FIRE-PLAN:高时空分辨率传感和数字孪生,以推进荒地火灾科学
  • 批准号:
    2335568
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science
合作研究:规划:FIRE-PLAN:高时空分辨率传感和数字孪生,以推进荒地火灾科学
  • 批准号:
    2335569
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Understanding the Influence of Turbulent Processes on the Spatiotemporal Variability of Downslope Winds in Coastal Environments
合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
  • 批准号:
    2331729
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Continuing Grant
Collaborative Research: OAC Core: Distributed Graph Learning Cyberinfrastructure for Large-scale Spatiotemporal Prediction
合作研究:OAC Core:用于大规模时空预测的分布式图学习网络基础设施
  • 批准号:
    2403312
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Planning: FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science
合作研究:规划:FIRE-PLAN:高时空分辨率传感和数字孪生,以推进荒地火灾科学
  • 批准号:
    2335570
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: OAC Core: Learning AI Surrogate of Large-Scale Spatiotemporal Simulations for Coastal Circulation
合作研究:OAC Core:学习沿海环流大规模时空模拟的人工智能替代品
  • 批准号:
    2402947
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: OAC Core: Distributed Graph Learning Cyberinfrastructure for Large-scale Spatiotemporal Prediction
合作研究:OAC Core:用于大规模时空预测的分布式图学习网络基础设施
  • 批准号:
    2403313
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Understanding the Influence of Turbulent Processes on the Spatiotemporal Variability of Downslope Winds in Coastal Environments
合作研究:了解湍流过程对沿海环境下坡风时空变化的影响
  • 批准号:
    2331728
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Continuing Grant
Collaborative Research: Urban Vector-Borne Disease Transmission Demands Advances in Spatiotemporal Statistical Inference
合作研究:城市媒介传播疾病传播需要时空统计推断的进步
  • 批准号:
    2414688
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Continuing Grant
Collaborative Research: OAC Core: Learning AI Surrogate of Large-Scale Spatiotemporal Simulations for Coastal Circulation
合作研究:OAC Core:学习沿海环流大规模时空模拟的人工智能替代品
  • 批准号:
    2402946
  • 财政年份:
    2024
  • 资助金额:
    $ 17.98万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了