Collaborative Proposal: MSB-FRA: Causes, consequences, and cross-scale linkages of environment-driven phenological mismatch across three trophic levels
Collaborative Proposal: MSB-FRA: Causes, consequences, and cross-scale linkages of environment-driven phenological mismatch across three trophic levels
批准号:
1702664
负责人:
Leslie Ries
金额:
$33.06万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-15 至 2021-07-31
中文摘要
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英文摘要
The timing and synchrony of seasonal events presents real challenges in the natural world. Migratory birds coordinate their departure from wintering grounds in Central or South America to arrive at North American breeding grounds at just the right time. Too early and they risk experiencing severe weather from late frosts or blizzards. Too late and they risk missing the peak in early spring insects that they depend on to successfully raise offspring. For their part, insects such as butterflies also benefit when their emergence coincides with the springtime flush of new plant growth. The timing of spring has been shifting earlier in recent years, and this raises the possibility of mismatches in spring timing between birds, insects, and plants. A few local scale studies have suggested that such mismatches may be responsible for long-term population declines for some species, but the extent of this problem, especially over large areas remains unknown. In this project, the research team will combine information on springtime weather, satellite imagery on plant emergence, and multiple large-scale citizen science data on birds, butterflies, and caterpillars to perform a comprehensive evaluation of mismatches in seasonal timing between interacting species. This work is critical for understanding the potential impacts of continued shifts in seasonality on living systems. The work will also engage K-college students and the public through a new citizen science program, educational units, and outreach events focused on learning about the timing of seasonal changes. The proposed research will be the first attempt to examine phenological mismatch across three trophic levels at a semi-continental extent. Local-scale studies have documented specific instances of phenological mismatch but fail to inform how mismatch consequences propagate across spatial, temporal, or trophic scales. Birds and butterflies provide the most expansive, long-term and detailed macroecological data sets on distribution, diversity, and demography. The project will unite multiple large-scale citizen science datasets for these taxa with targeted field data collection, and remotely-sensed climate and vegetation data layers, to examine the cross-scale and multi-trophic interactions that connect shifting thermal environments, phenological mismatch, and fitness consequences. This will be accomplished by: (1) assembling and uniting continental and regional monitoring and citizen-science databases for Lepidoptera and birds; (2) building spatio-temporal models in order to assess drivers of phenology, calculate direct metrics of phenological mismatch across trophic levels, and evaluate fitness and population consequences of those mismatches; and (3) testing the ability of generated models to predict phenology and population trends for focal birds and Lepidoptera across eastern North America as a function of tri-trophic phenological mismatch. Taking a macro-scale perspective on phenological mismatch is critical for understanding the range-wide impacts of sustained trends in seasonal timing. In addition to answering critical research questions on phenological mismatch the team will extend the impacts of their work through both specific training opportunities and broad-based education and outreach efforts.
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DOI:
10.1371/journal.pone.0222227
发表时间:
2019-09-05
期刊:
PLOS ONE
影响因子:
3.7
作者:
[Abarca, Mariana]
通讯作者:
Abarca, Mariana
DOI:
10.1002/ecs2.3874
发表时间:
2022-01
期刊:
Ecosphere
影响因子:
2.7
作者:
[Naresh Neupane;Elise F. Zipkin;Sarah P. Saunders;Leslie Ries]
通讯作者:
Naresh Neupane;Elise F. Zipkin;Sarah P. Saunders;Leslie Ries
Spatio-temporal modeling for confirmed cases of lyme disease in Virginia
弗吉尼亚州莱姆病确诊病例的时空模型
DOI:
10.1016/j.ttbdis.2021.101822
发表时间:
2021
期刊:
Ticks and Tick-borne Diseases
影响因子:
3.2
作者:
[Neupane, Naresh, Goldbloom-Helzner, Ari, Arab, Ali]
通讯作者:
Arab, Ali
Method matters: pitfalls in analysing phenology from occurrence records
方法很重要:从发生记录分析物候学的陷阱
DOI:
10.1111/ele.13731
发表时间:
2021
期刊:
Ecology Letters
影响因子:
8.8
作者:
[Larsen, Elise A., Shirey, Vaughn, Ezenwa, ed., Vanessa]
通讯作者:
Ezenwa, ed., Vanessa
DOI:
10.1016/j.jag.2022.102747
发表时间:
2022-04
期刊:
Int. J. Appl. Earth Obs. Geoinformation
影响因子:
--
作者:
[N. Neupane;M. Peruzzi;A. Arab;S. J. Mayor;J. Withey;L. Ries;A. Finley]
通讯作者:
N. Neupane;M. Peruzzi;A. Arab;S. J. Mayor;J. Withey;L. Ries;A. Finley
共 10 条
EAGER: Environmental drivers of biodiversity: leveraging a history of NSF-funded research to test models of butterfly responses to global change
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批准号:1839021
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项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2018
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负责人:Leslie Ries
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依托单位:
Collaborative Proposal: RAPID: How do extreme flooding events impact migratory species?
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批准号:1818934
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项目类别:Standard Grant
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资助金额:$5.5万
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负责人:Leslie Ries
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依托单位:
Collaborative Proposal: MSB-ECA: A multi-scale framework to quantify and forecast population changes and associated uncertainties
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批准号:1702179
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项目类别:Standard Grant
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资助金额:$9.44万
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财政年份:2017
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负责人:Leslie Ries
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依托单位:
ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data
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批准号:1738243
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项目类别:Standard Grant
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资助金额:$17.73万
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财政年份:2016
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负责人:Leslie Ries
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依托单位:
ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data
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批准号:1147049
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项目类别:Standard Grant
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资助金额:$113.47万
-
财政年份:2012
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负责人:Leslie Ries
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依托单位:
Postdoctoral Research Fellowship in Biological Informatics for FY 2005
-
批准号:0434644
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项目类别:Fellowship
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资助金额:$0.0万
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财政年份:2005
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负责人:Leslie Ries
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依托单位:
海外基金