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
• 负责人: Jessica Blois
• 金额: $ 43.18万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1623852&HistoricalAwards=false
• 关键词: Collaborative; Research; Assessing; millennial; scale

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.

地球最大的动物的灭绝正在从根本上改变其他物种之间的喂养关系（？食物网？），这可能会使它们在未来灭绝的风险更大。该项目将检查Rancho la brea tar坑的完整化石记录（植物的大食肉动物），并在12，000年前的最后一个冰河时代结束之前建立冰河时代的食物网（人类到达，大型哺乳动物的丧失和气候变化）。了解冰河时代动物和植物之间的关系将有助于生物学家预测哪些物种最多有灭绝风险，并将这些模型预测应用于当今的生物多样性。该项目也是支持科学教育和多样性的绝佳机会，它直接让加利福尼亚州和缅因州的中学学生参与了这项研究中使用的化石。项目发现也将在新的La Brea Tar坑和博物馆展览中共享，每年吸引350,000名游客。对于这个项目，将为La Brea tar坑的小动物，昆虫和植物（美国加利福尼亚州）的小动物，昆虫和植物采样多种沥青渗漏的沉积物。在更新世结束时广泛的环境动荡之前，将在40，000年内确定化石，放射性碳的日期，然后在40，000年内整合到多营养的古食物网中。以前，仅研究了上部营养水平（尤其是食肉动物）。添加的信息将测试食品网络特性，以预测物种对全球变化的敏感性。该项目的新型贝叶斯框架（用于重建生物量流动，都将通过促进多个代理的整合以表征营养相互作用的不确定性来对古生物和现代食品网络研究有用。