Collaborative Proposal: RAPID: How do extreme flooding events impact migratory species?

合作提案:RAPID:极端洪水事件如何影响迁徙物种?

基本信息

  • 批准号:
    1818934
  • 负责人:
  • 金额:
    $ 5.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-01-15 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

Extreme weather events can alter resources in dramatic ways, which can have positive, negative, or neutral impacts on species. In the case of hurricanes and tropical storms, heavy rains could trigger an unusual pulse of plant growth or, if extreme, drown critical resources. This substantial shift in resource availability almost certainly impacts the survival, reproduction, and growth of local populations; however, the extent to which migratory species are impacted is much less clear. Out-of-season resources may disrupt migration as individuals alter their normal behaviors, with potential negative consequences if arrival to winter or summer habitat is delayed or blocked. Alternatively, migratory species may avoid gaps in resources by shifting their routes, or even capitalize on resources that peak following heavy rainfall events, improving their survival at stopover locations and fitness at destination habitats. Texas is a critical migratory pathway in North America for many species of birds, bats, and insects and its position bordering the gulf coast means that it is also subject to many severe weather events during the tropical storm season. The recent flooding associated with Hurricane Harvey, the most extreme rainfall event in US history, provides a unique opportunity to investigate how plant resources shift in response to disruptive weather events. Further, hypotheses on the demographic responses of migratory species will be rigorously tested at both local and regional scales. This project will study the impact of Hurricane Harvey on a model migratory species, the eastern North American monarch butterfly (Danaus plexippus L.) population, with the goal of developing a framework to understand the impact of extreme flooding events on migratory species. The results will inform conservation efforts for the monarch butterfly, population models, and climate forecasting. This research will examine the effects of Harvey on monarch dynamics in the local Texas migratory corridor and evaluate the potential for carry-over effects into the monarch's overwintering population in Mexico and summer breeding population in central and eastern North America. The project will accomplish this through three key activities. First, data will be collected at survey sites throughout the affected area during the fall, winter, and spring of the 2017-2018 migratory season. Second, the impact of Harvey and other recent extreme rainfall events will be explored using climate data and remotely-sensed satellite imagery to model vegetation growth. Finally, monarch population models will link local conditions in Texas to the overwintering population in Mexico, and subsequently to spring and summer generations. This research advances macrosystems ecology by expanding the spatiotemporal scale at which carry-over effects from resource disruptions may impact migratory species, and providing a framework for incorporating conditions experienced by animals during migratory periods (the least-studied stages of the annual cycle) into population models to evaluate mechanisms governing long-term trends.
极端天气事件可以戏剧性地改变资源,这可能对物种产生积极,消极或中性的影响。在飓风和热带风暴的情况下,暴雨可能会引发植物生长的异常脉冲,或者在极端情况下,淹没关键资源。资源供应的这种重大变化几乎肯定会影响当地人口的生存、繁殖和增长;然而,迁徙物种受到影响的程度却不太清楚。反季节的资源可能会扰乱迁移,因为个体会改变他们的正常行为,如果到达冬季或夏季栖息地被延迟或阻止,可能会产生负面后果。或者,迁徙物种可以通过改变路线来避免资源缺口,甚至利用暴雨事件后达到高峰的资源,改善它们在中途停留地点的生存和在目的地生境的适应性。德克萨斯州是许多鸟类、蝙蝠和昆虫在北美的重要迁徙通道,其毗邻墨西哥湾海岸的位置意味着在热带风暴季节也会受到许多恶劣天气的影响。最近与美国历史上最极端的降雨事件哈维飓风相关的洪水提供了一个独特的机会来研究植物资源如何应对破坏性天气事件。 此外,将在地方和区域两级严格检验关于迁徙物种人口反应的假设。该项目将研究飓风哈维对模式迁徙物种北美东部帝王蝶(Danaus plexippus L)的影响。该项目的目标是建立一个框架,以了解极端洪水事件对迁徙物种的影响。研究结果将为帝王蝶的保护工作、种群模型和气候预测提供信息。这项研究将研究哈维对当地德克萨斯州迁徙走廊的君主动态的影响,并评估对墨西哥君主越冬种群和北美中部和东部夏季繁殖种群的潜在影响。该项目将通过三项关键活动来实现这一目标。首先,将在2017-2018年迁徙季节的秋季,冬季和春季在整个受影响地区的调查点收集数据。其次,将利用气候数据和遥感卫星图像模拟植被生长,探讨哈维和最近其他极端降雨事件的影响。最后,帝王蝶种群模型将把德克萨斯州的当地条件与墨西哥的越冬种群联系起来,并随后与春季和夏季世代联系起来。 这项研究通过扩大时空尺度来推进宏观系统生态学,在时空尺度上,资源中断的结转效应可能会影响迁徙物种,并提供一个框架,将动物在迁徙期间(年周期中研究最少的阶段)经历的条件纳入人口模型,以评估管理长期趋势的机制。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Flying through hurricane central: impacts of hurricanes on migrants with a focus on monarch butterflies
飞越飓风中心:飓风对移民的影响,重点是帝王蝶
  • DOI:
    10.1515/ami-2018-0010
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ries, Leslie;Neupane, Naresh;Baum, Kristen A.;Zipkin, Elise F.
  • 通讯作者:
    Zipkin, Elise F.
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Leslie Ries其他文献

Population dynamics and drivers of the eastern monarch (Danaus plexippus) across its full annual cycle: a cross-scale synthesis of a model migratory species.
东部帝王蝶(Danaus plexippus)整个年度周期的种群动态和驱动因素:模型迁徙物种的跨尺度综合。
Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs
人工智能通过使用社区科学照片正确地对帝王蝶毛虫的发育阶段进行分类,从而通过更好的保护
  • DOI:
    10.1038/s41598-024-78509-w
  • 发表时间:
    2024-11-07
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Naresh Neupane;Rhea Goswami;Kyle Harrison;Karen Oberhauser;Leslie Ries;Colin McCormick
  • 通讯作者:
    Colin McCormick
Population dynamics and drivers of the eastern monarch (<em>Danaus plexippus</em>) across its full annual cycle: a cross-scale synthesis of a model migratory species
  • DOI:
    10.1016/j.cois.2023.101132
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Vaughn Shirey;Leslie Ries
  • 通讯作者:
    Leslie Ries
Population dynamics and drivers of the eastern monarch (emDanaus plexippus/em) across its full annual cycle: a cross-scale synthesis of a model migratory species
东部帝王蝶(Danaus plexippus)在其整个年度周期内的种群动态和驱动因素:一种模型迁徙物种的跨尺度综合
  • DOI:
    10.1016/j.cois.2023.101132
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
    4.800
  • 作者:
    Vaughn Shirey;Leslie Ries
  • 通讯作者:
    Leslie Ries
Butterfly edge effects are predicted by a simple model in a complex landscape
  • DOI:
    10.1007/s00442-008-0976-3
  • 发表时间:
    2008-02-21
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Leslie Ries;Thomas D. Sisk
  • 通讯作者:
    Thomas D. Sisk

Leslie Ries的其他文献

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{{ truncateString('Leslie Ries', 18)}}的其他基金

EAGER: Environmental drivers of biodiversity: leveraging a history of NSF-funded research to test models of butterfly responses to global change
EAGER:生物多样性的环境驱动因素:利用 NSF 资助的研究历史来测试蝴蝶对全球变化的反应模型
  • 批准号:
    1839021
  • 财政年份:
    2018
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Standard Grant
Collaborative Proposal: MSB-FRA: Causes, consequences, and cross-scale linkages of environment-driven phenological mismatch across three trophic levels
合作提案:MSB-FRA:三个营养级环境驱动物候不匹配的原因、后果和跨尺度联系
  • 批准号:
    1702664
  • 财政年份:
    2017
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Standard Grant
Collaborative Proposal: MSB-ECA: A multi-scale framework to quantify and forecast population changes and associated uncertainties
合作提案:MSB-ECA:量化和预测人口变化及相关不确定性的多尺度框架
  • 批准号:
    1702179
  • 财政年份:
    2017
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Standard Grant
ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data
ABI 开发:用于分析蝴蝶监测数据的访问、可视化和统计工具
  • 批准号:
    1738243
  • 财政年份:
    2016
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Standard Grant
ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data
ABI 开发:用于分析蝴蝶监测数据的访问、可视化和统计工具
  • 批准号:
    1147049
  • 财政年份:
    2012
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Standard Grant
Postdoctoral Research Fellowship in Biological Informatics for FY 2005
2005财年生物信息学博士后研究奖学金
  • 批准号:
    0434644
  • 财政年份:
    2005
  • 资助金额:
    $ 5.5万
  • 项目类别:
    Fellowship

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