| 项目编号: | 1623840
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| 项目名称: | Collaborative Research: Assessing millennial-scale community dynamics using highly-resolved mammal and vegetation food webs |
| 作者: | Jacquelyn Gill
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| 承担单位: | University of Maine
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| 批准年: | 2016
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| 开始日期: | 2016-09-15
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| 结束日期: | 2019-08-31
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| 资助金额: | 296534
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Earth Sciences
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| 英文关键词: | extinction
; year
; food web
; plant
; food web property
; project
; ice age food web
; large mammal
; modern food web study
; multi-trophic paleo food web
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| 英文摘要: | The extinction of Earth's largest animals is radically changing the feeding relationships among other species ("food webs") which may place them at greater risk of extinction in the future. This project will examine Rancho La Brea tar pits for the complete fossil record (large carnivores to plants) and build ice age food webs prior to the major changes at the end of the last ice age 12,000 years ago (human arrival, the loss of large mammals, and climate change). Understanding the relationships among ice age animals and plants will help biologists predict which species were at most risk of extinction and apply these model predictions to present-day biodiversity. This project is also an excellent opportunity to support science education and diversity, by directly involving middle school students in California and Maine in the identification of fossils used in this research. Project findings will also be shared in new La Brea Tar Pits & Museum exhibits, which draw 350,000 visitors each year.
For this project, sediments from multiple asphalt seeps will be sampled for the small animals, insects and plants of the La Brea Tar Pits (California, USA). Fossils will be identified, radiocarbon dated, and then integrated into multi-trophic paleo food webs over the 40,000 years before the widespread environmental upheaval at the end of Pleistocene. Previously only the upper trophic levels (particularly carnivores) were investigated in detail; added information will test food web properties for predicting the sensitivity of species to global change. The project?s novel Bayesian framework, employed to reconstruct biomass flow, will be useful to both paleo and modern food web studies by facilitating integration of multiple proxies to characterize uncertainty in trophic interactions. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/90933
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Jacquelyn Gill. Collaborative Research: Assessing millennial-scale community dynamics using highly-resolved mammal and vegetation food webs. 2016-01-01.
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