Collaborative Research: RAPID: re-wiring of montane pollination networks under severe drought stress

合作研究：RAPID：严重干旱胁迫下山地授粉网络的重新布线

• 批准号: 1834487
• 负责人: Berry Brosi
• 金额: $ 15.49万
• 依托单位: Emory University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1834487&HistoricalAwards=false
• 关键词: Collaborative; Research; RAPID; re; wiring; Collaborative; Research; RAPID; re; wiring

A severe drought is expected in the western Rockies in 2018, following the second-lowest snowpack on record the preceding winter. The drought will dramatically alter which species are present in the ecosystems of the Rockies and their relative abundances. The drought thus presents an unusual opportunity to study how pollination networks (the connections between interacting pollinator and plant species) are affected by disturbances. This is important given that extreme environmental events are expected to become increasingly common and that pollination is critically important for the maintenance of both wild plant populations and the productivity and security of many agricultural crops. Specifically, this project is focused on 1) how species in ecosystems can form new connections to other species after disturbances; 2) how new connections can be predicted even following major disturbance; and 3) the implications of new patterns of plant-pollinator relationships for understanding ecosystem-level responses to disturbance. This work will contribute to better understanding of how networks (including other ecological networks, and other network types such as economic, engineered, and social networks) respond to disturbances, particularly in terms of the formation of new connections.This project will use existing plant-pollinator network field data from non-drought years (2016 and 2017) to build and test mechanism-focused models of network structure, based on plant and pollinator abundances, competition between pollinators for flowers, and data on plant and pollinator physical traits (such as body size). Model predictions will be compared with field data from the severe drought year (2018) in which it is anticipated that there will be a strong reduction in which species are present (for example, many long-lived plant species may not bloom when drought-stressed) as well as substantial changes in relative abundances of flowers and pollinators. In particular, the project will also assess how well this new network model performs relative to existing alternative models (none of which currently perform well in predicting interactions). The researchers will then use models to assess generally how substantial capacity for re-wiring will affect system-level responses to perturbations.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.

在前冬天有记录以来第二高的积雪之后，2018年西部落基山脉预计将发生严重的干旱。干旱将大大改变落基山脉的生态系统中存在哪些物种及其相对丰度。因此，干旱为研究授粉网络（相互作用的授粉媒介与植物物种之间的联系）如何受​​到干扰影响。考虑到极端环境事件有望变得越来越普遍，并且授粉对于维持野生植物种群以及许多农作物的生产力和安全至关重要。具体而言，该项目的重点是1）生态系统中的物种在干扰后如何与其他物种建立新的联系； 2）即使在重大干扰之后，如何预测新的联系； 3）植物 - 授粉关系的新模式对理解生态系统层面的响应的含义。这项工作将有助于更好地理解网络（包括其他生态网络以及其他网络类型，例如经济，工程和社交网络）对干扰的反应，尤其是在新连接的形成方面。本项目将使用现有的植物 - 胶体网络网络现场数据（2016年和2017年）中的植物和测试机器人的网络和测试机构竞争，并竞争授粉机构，并竞争授粉机构，并竞争授粉机构，并竞争授粉机构，并竞争授粉机构，并竞争授粉机构，并进行授粉，并构成粉丝和粉丝的粉丝，并构建植物机构的葡萄酒和粉红色的粉丝，并构建植物性的植物性和粉丝粉丝。传粉媒介的身体特征（例如体型）。模型预测将与严重干旱年度（2018年）的现场数据进行比较，预计将有很大的降低物种（例如，在干旱压力时，许多长寿命的植物物种可能不会绽放），以及相对丰富的鲜花和授粉剂的实质性变化。特别是，该项目还将评估这种新网络模型相对于现有替代模型的性能（当前在预测交互中都没有很好的表现）。然后，研究人员将使用模型来评估重新效力的重大能力将如何影响系统级别对扰动的响应。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估标准通过评估来获得支持的。