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Collaborative Research: Timescale-Dependent Effects of Transient Dynamics in Plant-Pollinator Networks

合作研究：植物传粉者网络中瞬态动力学的时间尺度依赖性效应

基本信息

批准号：
2129757
负责人：
Fernanda Valdovinos
金额：
$ 37.12万
依托单位：
University of California-Davis
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：
2022-03-01 至 2025-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129757&HistoricalAwards=false
关键词：
Collaborative Research Timescale Dependent Effects

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Biological communities are comprised of multiple plant and animal species that interact to form dynamic networks that profoundly shape the coexistence of species. These networks are constantly confronted by both anthropogenic and natural perturbations such as drought, fire, and habitat loss. Predicting how these complex systems respond to perturbations is challenging because the perturbations can propagate through the interwoven networks in unexpected ways. A particular challenge is that perturbations create impacts at different timescales: some species can respond in a matter of hours via the behavioral changes of individuals, others in a matter of years via changes in population abundance, and still others over decades by going extinct. This project will combine mathematical models, computer simulations, and network analyses with extensive observations and field experiments to understand how the responses of plant-pollinator networks – whose functioning is vital to natural and human-managed agriculture– can be understood and predicted. As perturbations to ecological systems become increasingly frequent and extreme, society will need to develop the tools to predict how ecological systems will respond to perturbations and to develop appropriate solutions. In addition, integrating mathematical models with real world data is a broader impact challenge that this project addresses by offering a workshop for early career scientists with diverse backgrounds in years 2 and 3. This project also supports diversity initiatives through the Center for the Advancement of Multicultural Perspectives on Science.This project will advance understanding of the responses of plant-pollinator communities to perturbations by identifying which ecological processes (e.g., adaptive foraging, functional responses, benefit accrual) are relevant and necessary for prediction across time scales. More specifically, the goal of this work is to understand how short-term (hours, days) behavioral responses propagate to medium-term (years) responses in abundance of species, and how these short- and medium-term responses, in turn, propagate to the long-term (decades, centuries) persistence and functioning of plant-pollinator networks. We will develop models for each of these timescales—parameterized and validated with field data from the Rocky Mountain Biological Laboratory—and use scale transition theory to understand how responses from shorter timescales will propagate to longer timescale. This work will fill important gaps in understanding responses to perturbations in ecological networks; in timescale separation in ecological models; and in theory-data integration in mutualistic 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.

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。生物群落由多种植物和动物物种组成，它们相互作用形成动态网络，深刻地塑造了物种的共存。这些网络不断面临人为和自然的干扰，如干旱，火灾和栖息地丧失。预测这些复杂系统对扰动的反应是具有挑战性的，因为扰动可以以意想不到的方式在交织的网络中传播。一个特别的挑战是，扰动在不同的时间尺度上产生影响：一些物种可以在几个小时内通过个体的行为变化做出反应，另一些物种可以在几年内通过种群丰度的变化做出反应，还有一些物种可以在几十年内灭绝。该项目将结合联合收割机数学模型，计算机模拟和网络分析与广泛的观察和实地实验，以了解植物授粉网络的反应-其功能对自然和人类管理的农业至关重要-可以理解和预测。随着生态系统的扰动变得越来越频繁和极端，社会将需要开发工具来预测生态系统将如何应对扰动，并制定适当的解决方案。此外，将数学模型与真实的世界数据相结合是一个更广泛的影响挑战，该项目通过在第2年和第3年为具有不同背景的早期职业科学家提供研讨会来解决。该项目还通过科学多元文化视角促进中心支持多样性倡议。该项目将通过确定哪些生态过程（例如，适应性觅食、功能反应、收益累积）对于跨时间尺度的预测是相关的和必要的。更具体地说，这项工作的目标是了解短期（小时，天）的行为反应如何传播到大量物种的中期（年）反应，以及这些短期和中期反应如何反过来传播到植物传粉网络的长期（几十年，几个世纪）的持续性和功能。我们将为每个时间尺度开发模型-参数化并与来自落基山生物实验室的现场数据进行验证-并使用尺度转换理论来了解较短时间尺度的响应如何传播到较长的时间尺度。这项工作将填补在理解生态网络的扰动响应的重要空白;在生态模型的时间尺度分离;在互惠网络的理论数据集成。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

NetworkExtinction : An R package to simulate extinction propagation and rewiring potential in ecological networks

NetworkExtinction：一个 R 包，用于模拟生态网络中的灭绝传播和重新布线潜力

DOI：
10.1111/2041-210x.14126
发表时间：
2023
期刊：
Methods in Ecology and Evolution
影响因子：
6.6
作者：
Ávila‐Thieme, M. Isidora;Kusch, Erik;Corcoran, Derek;Castillo, Simón P.;Valdovinos, Fernanda S.;Navarrete, Sergio A.;Marquet, Pablo A.
通讯作者：
Marquet, Pablo A.

Simple Mechanisms of Plant Reproductive Benefits Yield Different Dynamics in Pollination and Seed Dispersal Mutualisms

植物繁殖效益的简单机制在授粉和种子传播互利作用中产生不同的动力