Collaborative Proposal: MSB-FRA: Improved Understanding of Feedbacks between Ecosystem Phenology and the Weather-Environment Nexus at Local-to-Continental Scales

合作提案：MSB-FRA：提高对地方到大陆尺度生态系统物候学与天气环境关系之间反馈的理解

• 批准号: 1702697
• 负责人: Andrew Richardson
• 金额: $ 101.51万
• 依托单位: Northern Arizona University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1702697&HistoricalAwards=false
• 关键词: Collaborative; Proposal; MSB; FRA; Improved

Phenology--the rhythm of the seasons--drives the progression of vegetation through its annual cycles from dormancy to activity and back to dormancy. Phenology is thus critical for many ecological processes. It also directly influences ecosystem productivity and the production of many goods and ecosystem services on which human society is reliant. Importantly, phenological rhythms are highly sensitive to year-to-year variability in weather, but they can also in turn influence weather itself. Thus, there are feedbacks between terrestrial ecosystems and the atmosphere that are phenologically-controlled. This project will use imagery from a network of digital cameras--the PhenoCam Network--to track vegetation phenology at high spatial and temporal resolution across North America, from tundra to the tropics. Together with sophisticated computer simulations, this project will then investigate phenologically-controlled ecosystem-atmosphere feedbacks across a climatic gradient from the Southwest, through the Great Plains, and into the Northeastern US. The question this project seeks to answer is, How much influence do these feedbacks have on how ecosystems work, and at what spatial and temporal scales? This question is important from the point of view of managing and sustaining healthy ecosystems. Public participation in scientific research will be achieved through collaboration with the Harvard Forest Long-Term Ecological Research Project's Schoolyard program and the Summer Research Program. Through these efforts this project will contribute to the education and training of traditionally under-represented groups. This project additionally includes interdisciplinary training and research opportunities for graduate-level students and three postdoctoral research associates. Imagery and data from PhenoCam will continue to be made publicly available, in near-real time, for research and education.This project strives to understand the role of phenology in mediating ecosystem-atmosphere coupling and feedbacks at multiple spatial and temporal scales. The researchers will apply a macrosystems approach by integrating simulation models and observational data to investigate cross-scale interactions and emergent phenomena. First, they will use data from the PhenoCam network, a continental-scale phenological observatory, to develop improved models of vegetation phenology. Then, they will conduct a hierarchy of computer simulation experiments to investigate interactions between terrestrial ecosystems and the atmosphere/climate system that are controlled by phenology. Specifically, this project investigates: (1) How does phenology regulate the strength of ecosystem-atmosphere coupling across a continental-scale ecoclimatic gradient? (2) How does the seasonality of ecosystem-atmosphere coupling vary within and across this gradient? and, (3) How do coupled ecosystem-atmosphere dynamics influence ecosystem function at local to continental spatial scales and seasonal to interannual timescales? The researchers will derive phenological metrics by applying image analysis methods to time series of digital camera images from PhenoCam. Formal model selection criteria will be used to test and evaluate different model structures for the phenology of key plant functional types. The researchers will tackle their key science questions using a sophisticated earth system model with prescribed and prognostic phenology scenarios. These analyses will be complemented by empirical, data-driven analyses fusing PhenoCam data, satellite remote sensing, daily meteorological data and gridded reanalysis products, and micrometeorological measurements of ecosystem-atmosphere fluxes of CO2, water and energy from AmeriFlux sites. Camera and flux data from NEON sites will be incorporated as these become available. Broader impacts from this project will target formal and informal science education, the development of scientific infrastructure, and training of the next generation of interdisciplinary earth system scientists.

物候学--季节的节律--推动着植被从休眠到活动再回到休眠的年度循环。因此，物候学对许多生态过程至关重要。它还直接影响生态系统生产力以及人类社会所依赖的许多商品和生态系统服务的生产。重要的是，物候节律对天气的年际变化高度敏感，但它们也可以反过来影响天气本身。因此，陆地生态系统和大气之间存在受物候控制的反馈。该项目将使用数码相机网络--PhenoCam Network--的图像，以高时空分辨率跟踪北美从冻土带到热带地区的植被物候。与复杂的计算机模拟一起，该项目将研究从西南部到大平原，再到美国东北部的气候梯度上受物候控制的生态系统-大气反馈。这个项目试图回答的问题是，这些反馈对生态系统如何工作以及在什么空间和时间尺度上有多大影响？从管理和维持健康生态系统的角度来看，这个问题很重要。公众参与科学研究将通过与哈佛森林长期生态研究项目的校园计划和暑期研究计划合作实现。通过这些努力，该项目将有助于对传统上代表性不足的群体进行教育和培训。该项目还包括为研究生和三名博士后研究助理提供跨学科培训和研究机会。来自PhenoCam的图像和数据将继续以接近实时的方式公开提供，用于研究和教育。该项目努力了解物候学在多个空间和时间尺度上调节生态系统-大气耦合和反馈中的作用。研究人员将应用宏观系统的方法，通过整合模拟模型和观测数据来研究跨尺度的相互作用和新出现的现象。首先，他们将使用来自大陆范围的物候观测站PhenoCam网络的数据来开发改进的植被物候模型。然后，他们将进行一系列计算机模拟实验，以调查受物候控制的陆地生态系统和大气/气候系统之间的相互作用。具体地说，本项目研究：(1)物候如何调节大陆尺度生态气候梯度上生态系统-大气耦合的强度？(2)生态系统-大气耦合的季节性如何在该梯度内和跨该梯度变化？以及，(3)生态系统-大气动力耦合如何在地方到大陆的空间尺度和季节到年际的时间尺度上影响生态系统的功能？研究人员将通过对来自PhenoCam的数码相机图像的时间序列应用图像分析方法来得出物候指标。正式的模型选择标准将用于测试和评估关键植物功能类型物候的不同模型结构。研究人员将使用复杂的地球系统模型解决他们的关键科学问题，该模型带有规定的和预测的物候情景。这些分析将得到经验的、数据驱动的分析的补充，这些分析融合了PhenoCam数据、卫星遥感、每日气象数据和网格再分析产品，以及对ameriFlux站点的二氧化碳、水和能量的生态系统-大气通量的微气象测量。当霓虹灯站点的相机和流量数据可用时，这些数据将被纳入其中。该项目的更广泛影响将针对正式和非正式科学教育、发展科学基础设施和培训下一代跨学科地球系统科学家。

项目成果

A steady-state approximation approach to simulate seasonal leaf dynamics of deciduous broadleaf forests via climate variables

• DOI: 10.1016/j.agrformet.2017.11.025
• 发表时间: 2018-02
• 期刊: Agricultural and Forest Meteorology
• 影响因子: 6.2
• 作者: Q. Xin;Yongjiu Dai;Xia Li;Xiaoping Liu;P. Gong;A. Richardson

Senescence in temperate broadleaf trees exhibits species-specific dependence on photoperiod versus thermal forcing

温带阔叶树的衰老表现出对光周期与热强迫的物种特异性依赖性

• DOI: 10.1016/j.agrformet.2022.109026
• 发表时间: 2022
• 期刊: Agricultural and Forest Meteorology
• 影响因子: 6.2
• 作者: Moon, Minkyu;Richardson, Andrew D.;O'Keefe, John;Friedl, Mark A.
• 通讯作者: Friedl, Mark A.

On quantifying the apparent temperature sensitivity of plant phenology

• DOI: 10.1111/nph.16114
• 发表时间: 2019-09-17
• 期刊: NEW PHYTOLOGIST
• 影响因子: 9.4
• 作者: Keenan, Trevor F.;Richardson, Andrew D.;Hufkens, Koen
• 通讯作者: Hufkens, Koen

Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses

• DOI: 10.1016/j.ecoinf.2022.101898
• 发表时间: 2022-11-16
• 期刊: ECOLOGICAL INFORMATICS
• 影响因子: 5.1
• 作者: Rojo，J.;Romero-Morte，J.;Perez-Badia，R.
• 通讯作者: Perez-Badia，R.

Predicting spring green-up across diverse North American grasslands

• DOI: 10.1016/j.agrformet.2022.109204
• 发表时间: 2022-12
• 期刊: Agricultural and Forest Meteorology
• 影响因子: 6.2
• 作者: Alison K. Post;K. Hufkens;A. Richardson