Collaborative Research: MSA: Tree crown economics: testing and scaling a functional trait-based theory

合作研究：MSA：树冠经济学：测试和扩展基于功能性状的理论

• 批准号: 2106058
• 负责人: David Nelson
• 金额: $ 6.99万
• 依托单位: University of Maryland Center for Environmental Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106058&HistoricalAwards=false
• 关键词: Collaborative; Research; MSA; Tree; crown

Climate change is subjecting trees to new environmental conditions and it is increasingly important to understand how trees respond to these changes. While ecologists have long known that tree crown architecture (the arrangement and orientation of leaves within a tree crown) can be an important way that trees adapt and acclimate to environmental change, there is not well-established theory or techniques for measuring crown architecture. This study tests novel theory and applies new technologies for measuring crown architecture, including from automated cameras mounted to nine National Ecological Observation Network (NEON) towers in the eastern USA, and from accompanying laser ranging (LiDAR) measurements from the NEON Airborne Observation Platform (AOP). By testing how measured differences in crown architecture relate to coincident airborne and satellite measurements of tree productivity, the research can inform ecological models and forest management techniques aimed at maximizing sustainable forest growth. The research team includes students from West Virginia University (WVU) participating in a research experience for undergraduates (REU) program, as well as hundreds of sixth-graders and their teachers making tree architecture and productivity measurements from a “Sustainability Treehouse” used by the WVU Science Adventure School.Complementing the successful theory of leaf economics, the research develops a trait-based theory of crown economics. First, by measuring the trait of mean leaf angle from new time-lapse cameras mounted to nine NEON towers and the Sustainability Treehouse, and traits of crown density and rugosity from NEON AOP LiDAR data, the researchers assess theory positing that economic tradeoffs drive co-variation in these three crown traits. Second, the researchers examine the role of crown traits in driving patterns of near-infrared reflectance from vegetation (NIRv), as measured by: (1) tower-mounted phenocams, (2) NEON AOP spectral data, and (3) Landsat phenology metrics of peak NIRv reflectance and the rate of NIRv “greendown” within a growing season. The research team uses spatial variability within and across the sites to test that the annual peak of NIRv (and correlated rates of water, carbon, and albedo fluxes) is higher in denser, but less rugose, crowns that have more horizontal leaf angles. And, the team uses temporal variability to gauge the degree to which rates of NIRv greendown are driven by increasingly vertical leaf angles through the growing season. Thus, by analyzing these relationships among crown traits and NIRv, the research can demonstrate how predictions of crown economic theory can elucidate new mechanisms controlling local- to continental-scale responses of forests to climate change.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.

气候变化使Tees Toes torest和一些树木相对于这些树木。从美国东部的九个国家生态学网络（霓虹灯）塔，从激光射程（LIDAR）的测量值。 。可持续性树屋以及霓虹灯aop lidarc的皇冠密度和脆弱性。 ：（1）TRAL数据和（3）在生长季节内的峰值NIRV反射率和NIRV率的Landsat物候指标。水，碳和反照率磁通量的较高，但较少的皱纹，冠状叶子角，团队使用时间范围来衡量越来越多的NIRV驱动的程度。因此，通过分析皇冠性状和NIRV之间的这些关系，该研究可以证明对皇冠经济的预测如何阐明控制当地休息的新机制。更广泛的影响审查标准。

项目成果

Tree crown economics

树冠经济学

• DOI: 10.1002/fee.2588
• 发表时间: 2023
• 期刊: Frontiers in Ecology and the Environment
• 影响因子: 10.3
• 作者: McNeil, Brenden E;Fahey, Robert T;King, Christopher J;Erazo, Dara A;Heimerl, Ty Z;Elmore, Andrew J
• 通讯作者: Elmore, Andrew J