Collaborative Research: Leveraging the power of ecological modeling and functional ecology to understand spatio-temporal variation in community assembly through the late Quaternary
合作研究:利用生态模型和功能生态学的力量来了解第四纪晚期群落聚集的时空变化
基本信息
- 批准号:2149416
- 负责人:
- 金额:$ 32.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Biodiversity—the variety of all forms of life—serves many functions to humans and its loss is one of the most pressing environmental issues of our time. Understanding the processes that shape species within ecological communities is crucial to chart the future of biodiversity and ecosystems in the face of human impacts. To date, studies of processes that are responsible for composition of ecological communities have been largely restricted to small (local) spatial scales and contemporary (months to decades) time scales. But these processes are complex and take place across many different scales, from local to continental spatial scales and monthly to 1000-year time scales. To understand which processes are important to structuring ecological communities at longer time scales, the project will use the fossil record of small mammals from the past 21,000 years. Results from and data generated by the project will be freely available for use by the broader scientific and educational communities. The project will provide workforce development opportunities and broaden participation in science by training middle- and high-schoolers and postdoctoral researchers from groups typically underrepresented in STEM.To elucidate spatial and temporal non-stationarity of processes structuring communities, the project will leverage the fossil record of small mammals across the late Quaternary, simulations and species distribution modeling (SDM) techniques, and trait datasets. The team will first conduct a comprehensive chronological re-assessment of the existing fossil record and carry out a suite of simulation exercises to understand the sensitivity of SDMs to spatial and temporal uncertainty inherent in the fossil record. The knowledge gained through these steps will then guide the construction of near continental, dynamic (i.e., changing through time) species distributions using the empirical fossil record. These modeled range-wide distributions for small mammals will then be stacked to obtain evaluations of community functional and trait composition, which will inform the spatio-temporal variation in community assembly processes. Ultimately, the findings will have implications for understanding the impacts of environmental and biotic change on biodiversity and ecosystem functioning.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.
生物多样性--各种形式的生命--为人类提供了许多功能,而生物多样性的丧失是我们这个时代最紧迫的环境问题之一。了解在生态群落内塑造物种的过程对于描绘面对人类影响的生物多样性和生态系统的未来至关重要。到目前为止,对生态群落组成过程的研究主要局限于小(局部)空间尺度和当代(几个月到几十年)时间尺度。但这些过程是复杂的,发生在许多不同的尺度上,从地方到大陆的空间尺度,以及每月到1000年的时间尺度。为了了解哪些过程对于在更长的时间尺度上构建生态群落是重要的,该项目将使用过去21,000年来小型哺乳动物的化石记录。该项目的成果和产生的数据将免费提供给更广泛的科学和教育界使用。该项目将通过培训来自STEM中代表性较低的群体的初中生和博士后研究人员,提供劳动力发展机会并扩大对科学的参与。为了阐明构建群落的过程的空间和时间非平稳性,该项目将利用晚第四纪小型哺乳动物的化石记录、模拟和物种分布模拟(SDM)技术以及特征数据集。该小组将首先对现有化石记录进行全面的年代学重新评估,并进行一系列模拟练习,以了解SDMS对化石记录中固有的空间和时间不确定性的敏感性。通过这些步骤获得的知识将指导使用经验化石记录构建接近大陆的动态(即,随时间变化)物种分布。这些小型哺乳动物的模拟分布将被堆叠起来,以获得群落功能和特征组成的评估,这将告知群落组装过程中的时空变化。最终,这些发现将对理解环境和生物变化对生物多样性和生态系统功能的影响产生影响。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
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)
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Jessica Blois其他文献
Quantifying the relative importance of multiple indices when predicting fire severity in the Western US
在预测美国西部火灾严重程度时量化多个指数的相对重要性
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
A. Keyser;A. Westerling;D. Cayan;Jessica Blois;Elliott Campbell;Lara Kueppers - 通讯作者:
Lara Kueppers
Jessica Blois的其他文献
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{{ truncateString('Jessica Blois', 18)}}的其他基金
Collaborative Research: Disciplinary Improvements for Past Global Change Research: Connecting Data Systems and Practitioners
协作研究:过去全球变化研究的学科改进:连接数据系统和从业者
- 批准号:
2226368 - 财政年份:2023
- 资助金额:
$ 32.17万 - 项目类别:
Standard Grant
ADVANCE Partnership: Empowering scientists to transform workplace climate through the ADVANCEGeo community-based intervention program
ADVANCE 合作伙伴关系:通过 ADVANCEGeo 基于社区的干预计划,使科学家能够改变工作场所气候
- 批准号:
2204361 - 财政年份:2022
- 资助金额:
$ 32.17万 - 项目类别:
Standard Grant
Collaborative Research: Neotoma Paleoecology Database, a Multi-Proxy, International, Community-Curated Data Resource for Global Change Research
合作研究:Neotoma 古生态学数据库,一个用于全球变化研究的多代理、国际、社区策划的数据资源
- 批准号:
1948579 - 财政年份:2020
- 资助金额:
$ 32.17万 - 项目类别:
Continuing Grant
CAREER: From Genes to Assemblages: Causes and Consequences of Spatiotemporal Population Variation Across Millennia in Small Mammals
职业:从基因到组合:小型哺乳动物几千年来时空种群变化的原因和后果
- 批准号:
1750597 - 财政年份:2018
- 资助金额:
$ 32.17万 - 项目类别:
Continuing Grant
Collaborative Research: Assessing millennial-scale community dynamics using highly-resolved mammal and vegetation food webs
合作研究:利用高分辨率的哺乳动物和植物食物网评估千禧年规模的群落动态
- 批准号:
1623852 - 财政年份:2016
- 资助金额:
$ 32.17万 - 项目类别:
Continuing Grant
Collaborative Research: Neotoma Paleoecology Database, Community-led Cyberinfrastructure for Global Change Research
合作研究:Neotoma 古生态学数据库、社区主导的全球变化研究网络基础设施
- 批准号:
1550700 - 财政年份:2016
- 资助金额:
$ 32.17万 - 项目类别:
Continuing Grant
EarthCube IA: Collaborative Proposal: Building Interoperable Cyberinfrastructure (CI) at the Interface between Paleogeoinformatics and Bioinformatics
EarthCube IA:协作提案:在古地理信息学和生物信息学之间的接口处构建可互操作的网络基础设施 (CI)
- 批准号:
1540977 - 财政年份:2015
- 资助金额:
$ 32.17万 - 项目类别:
Standard Grant
Collaborative Research: Incorporating Biotic Interactions into models of species assemblages under climate change: A comparison of single-species and community-level approaches
合作研究:将生物相互作用纳入气候变化下的物种组合模型:单物种和群落层面方法的比较
- 批准号:
1257033 - 财政年份:2013
- 资助金额:
$ 32.17万 - 项目类别:
Standard Grant
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