EAGER: Development of a learning community focused on sea-level rise and coastal habitat change
EAGER: Development of a learning community focused on sea-level rise and coastal habitat change
批准号:
1946302
负责人:
Elizabeth Watson
金额:
$14.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2023-03-31
中文摘要
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英文摘要
Rising sea levels are affecting coastal shorelines by drowning marshes and sea water seeping into forests, farms, and cities along the coasts. Within this century rising sea water will affect 5% of the global population living along the coastline and 10% of the global gross domestic product. When combined with projected coastal wetland loss, rising sea levels will make communities more susceptible to flooding and economic disruptions. Over the past decade, as coastal scientists have observed signs of increasing decline in coastal wetlands and maritime forests of the U.S. Northeast, the goal of coastal restoration projects has shifted almost completely towards adaptation to sea level rise. Coastal marshes play a key role in mitigating these effects of sea level rise but are themselves vulnerable to rising water. Fundamental research is needed to understand how sea level rise affects marshes and adjacent coastal areas and what can be done to make them more resilient. This EAGER award will provide novel and important insights into the processes responsible for coastal marsh die-off and potential mechanisms to enhance marsh resilience through expansion into adjacent forests and fields. Through field sampling and remote sensing this award will measure the means by which sea water rise affects both the marsh and adjacent forests and fields. An important and creative component of the research is the engagement of under-represented groups through the creation of a mentoring network focused on the proposed research.This award has high potential for producing a transformative understanding of the effects of sea level rise on the resilience of coastal marsh systems in the northeastern US. Through a novel combination of insitu assessment of hydrologic stressors and remote sensing geospatial analyses, the award will assess the proximate hydrologic and ecological causes and consequences of sea level rise. By combining new technology (e.g., UAV flights, low cost pressure transducers, GEOBIA, machine learning algorithms), the research will provide a new understanding of how hydrologic factors drive coastal habitat transitions, which can provide important information on how interventions can be applied successfully to conserve coastal habitats for wildlife and flood mitigation values. In addition to understanding the factors responsible for marsh die off, a particularly unique aspect of this EAGER award is understanding the hydrologic and biogeochemical mechanisms by which transgression of the marsh into adjacent terrestrial systems occurs. The research takes a robust approach to understanding the temporal and spatial scales over which these processes occur. This award will develop an innovative mentoring network framework to engage under-served students in estuarine research. By taking a near-peer cohort approach to training the students will benefit from immersive funded research experiences and a supportive research community. The expansive training plan includes professional workshops, education workshops, and other professional enhancement activities (annual professional meetings, participation in professional networks).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.
期刊论文(7)
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Data for: Drainage impacts on the productivity of wetland species Spartina alterniflora and Salicornia pacifica
数据:排水对湿地物种互花米草和海蓬子生产力的影响
DOI:
10.5061/dryad.5qfttdzc1
发表时间:
2023
期刊:
Dryad
影响因子:
--
作者:
[Watson, Elizabeth, Chernesky, Kylie, Njie, Daouda, Champlin, Lena, Swenson Perger, Darci, University, Drexel]
通讯作者:
University, Drexel
DOI:
10.1007/s13157-023-01761-9
发表时间:
2024-01-01
期刊:
WETLANDS
影响因子:
2
作者:
[Courtney,Sofi, Montalto,Franco, Watson,Elizabeth Burke]
通讯作者:
Watson,Elizabeth Burke
Data for: Development of a learning community focused on sea-level rise and coastal habitat change
数据:建立一个专注于海平面上升和沿海栖息地变化的学习社区
DOI:
10.5061/dryad.ghx3ffbvz
发表时间:
2024
期刊:
Dryad
影响因子:
--
作者:
[Watson, Elizabeth, Freyland, Christopher, Sylla, Habibita, Payne, Andrew, Njie, Daouda, Echiejile, Faith, Gale-Cottries, Jah'ya, Wiley, Alexis, Brittany, Wilburn, Joshua, Barufaldi]
通讯作者:
Joshua, Barufaldi
Promoting success in thin layer sediment placement: effects of sediment grain size and amendments on salt marsh plant growth and greenhouse gas exchange
促进薄层沉积物放置的成功:沉积物粒度和改良对盐沼植物生长和温室气体交换的影响
DOI:
--
发表时间:
2024
期刊:
Restoration ecology
影响因子:
3.2
作者:
[Wilburn, Brittany P., Raper, Kirk, Raposa, Kenneth B., Gray, Andrew B., Mozdzer, Thomas J.]
通讯作者:
Mozdzer, Thomas J.
Data from: Promoting success in thin layer sediment placement: effects of sediment grain size and amendments on salt marsh plant growth and greenhouse gas exchange
数据来自:促进薄层沉积物放置的成功:沉积物粒度和修正对盐沼植物生长和温室气体交换的影响
DOI:
10.5061/dryad.xsj3tx9nx
发表时间:
2023
期刊:
Dryad
影响因子:
--
作者:
[Wilbur, Brittany, Raper, Kirk, Gray, Andrew, Mozdzer, Thomas, Watson, Elizabeth, University, Drexel]
通讯作者:
University, Drexel
共 6 条
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
-
项目类别:面上项目
-
资助金额:58.0万元
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批准年份:2020
-
负责人:汪泉
-
依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
-
项目类别:--
-
资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: