WORKSHOP: EXPLORING NEW DIMENSIONS OF FOREST ECOSYSTEMS WITH STRUCTURAL DIVERSITY
研讨会:探索具有结构多样性的森林生态系统的新维度
基本信息
- 批准号:1924942
- 负责人:
- 金额:$ 9.35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-01 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Scientists have long known that biodiversity and ecosystem structure are important for forests. However, these concepts are mostly studied in isolation. This has resulted in a limited understanding of how they relate to each other and to forest function. Forest physical structure can now be easily measured because of advances in remote sensing and computer science. The term 'structural diversity' describes the combination of structure and biodiversity within complex ecosystems, capitalizing on decades of ecology research. Structural diversity estimates niche space for species in ecosystems, and it may link more closely to ecosystem function than biodiversity. Funding will support a workshop designed to advance the science on structural diversity and forest ecosystem function. The group will identify urgent, new research questions and synthesize two areas of biology: biodiversity and remote sensing of ecosystem structure. The workshop will use data from the National Ecological Observatory Network (NEON). Recruitment of early career and underrepresented minority scientists will increase adoption of NEON data in scientific research. This will address a critical need from the 2018 NEON Community Engagement Assessment Report. It also responds to the NEON Strategic Plan by reaching current users and expanding future use.The application of structural diversity within ecological research is limited by its underdeveloped theoretical framework and a lack of prioritized research questions. This workshop, held in partnership with Battelle and NEON, Inc., will explore foundational questions, identify key knowledge gaps, and prioritize future directions for this new field. The goals of this workshop are to 1) establish an interdisciplinary consensus definition of 'structural diversity', 2) identify key research questions about structural diversity and its relationship to ecological processes to be addressed in the next five years and the knowledge gaps needed to be filled to answer these questions, 3) provide training for early career scientists to measure structural diversity using NEON remote sensing data products. The workshop will bring together scientists with interdisciplinary perspectives of forest ecology and from underrepresented groups to further increase its impact.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.
科学家早就知道生物多样性和生态系统结构对森林很重要。然而,这些概念大多是孤立地研究的。这导致对它们之间的关系以及它们与森林功能的关系的了解有限。由于遥感和计算机科学的进步,现在可以很容易地测量森林的物理结构。“结构多样性”一词描述了复杂生态系统中结构和生物多样性的结合,利用了数十年的生态学研究。结构多样性估计生态系统中物种的生态位空间,它可能比生物多样性与生态系统功能更密切相关。资金将用于支持一个旨在推进结构多样性和森林生态系统功能科学的讲习班。该小组将确定紧迫的新研究问题,并综合生物学的两个领域:生物多样性和生态系统结构的遥感。讲习班将使用来自国家生态观测网(氖)的数据。招募早期职业和代表性不足的少数民族科学家将增加科学研究中氖数据的采用。这将解决2018年氖社区参与评估报告中的关键需求。它还响应氖战略计划,达到目前的用户和扩大未来的使用。结构多样性在生态研究中的应用受到其不发达的理论框架和缺乏优先研究问题的限制。该研讨会是与Battelle和氖公司合作举办的,将探讨基础问题,确定关键的知识差距,并优先考虑这个新领域的未来方向。本次研讨会的目标是:1)建立一个跨学科的共识定义的“结构多样性”,2)确定关键的研究问题,结构多样性及其与生态过程的关系,以解决在未来五年和知识空白需要填补回答这些问题,3)为早期职业科学家提供培训,以利用氖遥感数据产品测量结构多样性。该研讨会将汇集具有森林生态学跨学科观点的科学家和来自代表性不足的群体的科学家,以进一步扩大其影响。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The evolution of macrosystems biology
宏观系统生物学的演变
- DOI:10.1002/fee.2288
- 发表时间:2021
- 期刊:
- 影响因子:10.3
- 作者:LaRue, Elizabeth A;Rohr, Jason;Knott, Jonathan;Dodds, Walter K;Dahlin, Kyla M;Thorp, James H;Johnson, Jeremy S;Rodríguez González, Mayra I;Hardiman, Brady S;Keller, Michael
- 通讯作者:Keller, Michael
Application of multidimensional structural characterization to detect and describe moderate forest disturbance
- DOI:10.1002/ecs2.3156
- 发表时间:2020-06-01
- 期刊:
- 影响因子:2.7
- 作者:Atkins, Jeff W.;Bond-Lamberty, Ben;Gough, Christopher M.
- 通讯作者:Gough, Christopher M.
Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity
用于量化森林结构多样性的空中和地面激光雷达的兼容性
- DOI:10.3390/rs12091407
- 发表时间:2020
- 期刊:
- 影响因子:5
- 作者:LaRue, Elizabeth A.;Wagner, Franklin W.;Fei, Songlin;Atkins, Jeff W.;Fahey, Robert T.;Gough, Christopher M.;Hardiman, Brady S.
- 通讯作者:Hardiman, Brady S.
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Songlin Fei其他文献
NEON-SD: A 30-m Structural Diversity Product Derived from the NEON Discrete-Return LiDAR Point Cloud
霓虹-SD:一种源自霓虹离散返回激光雷达点云的 30 米结构多样性产品
- DOI:
10.1038/s41597-024-04018-0 - 发表时间:
2024-10-29 - 期刊:
- 影响因子:6.900
- 作者:
Jianmin Wang;Dennis H. Choi;Elizabeth LaRue;Jeff W. Atkins;Jane R. Foster;Jaclyn H. Matthes;Robert T. Fahey;Songlin Fei;Brady S. Hardiman - 通讯作者:
Brady S. Hardiman
The impacts of training data spatial resolution on deep learning in remote sensing
训练数据空间分辨率对遥感深度学习的影响
- DOI:
10.1016/j.srs.2024.100185 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:5.200
- 作者:
Christopher Ardohain;Songlin Fei - 通讯作者:
Songlin Fei
Invasive species identification from high-resolution 4-band multispectral imagery
- DOI:
10.1007/s10530-024-03397-0 - 发表时间:
2024-07-18 - 期刊:
- 影响因子:2.600
- 作者:
Christopher Ardohain;Cameron Wingren;Bina Thapa;Songlin Fei - 通讯作者:
Songlin Fei
Forest plant invasions in the eastern United States: evidence of invasion debt in the wildland-urban interface
- DOI:
10.1007/s10980-024-01985-y - 发表时间:
2024-11-20 - 期刊:
- 影响因子:3.700
- 作者:
Kevin M. Potter;Kurt H. Riitters;Basil V. Iannone;Qinfeng Guo;Songlin Fei - 通讯作者:
Songlin Fei
Forest feature LiDAR SLAM (Fsup2/sup-LSLAM) for backpack systems
用于背包系统的森林特征激光雷达 SLAM(F²-LSLAM)
- DOI:
10.1016/j.isprsjprs.2024.04.025 - 发表时间:
2024-06-01 - 期刊:
- 影响因子:12.200
- 作者:
Tian Zhou;Chunxi Zhao;Cameron Patrick Wingren;Songlin Fei;Ayman Habib - 通讯作者:
Ayman Habib
Songlin Fei的其他文献
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{{ truncateString('Songlin Fei', 18)}}的其他基金
Collaborative Research: MRA: Elucidating Plant and Mycorrhizal Fungal Relationships and Consequences across Space and Time
合作研究:MRA:阐明植物和菌根真菌的关系以及跨空间和时间的后果
- 批准号:
2106103 - 财政年份:2021
- 资助金额:
$ 9.35万 - 项目类别:
Standard Grant
MSB-FRA Modeling Invasion Dynamics Across Scales (MIDAS)
MSB-FRA 跨尺度入侵动力学建模 (MIDAS)
- 批准号:
1638702 - 财政年份:2016
- 资助金额:
$ 9.35万 - 项目类别:
Standard Grant
Predicting Regional Invasion Dynamic Processes (PRIDE)-Developing a Cross-scale, Functional-trait Based Modeling Framework
预测区域入侵动态过程 (PRIDE) - 开发跨尺度、基于功能特征的建模框架
- 批准号:
1241932 - 财政年份:2013
- 资助金额:
$ 9.35万 - 项目类别:
Standard Grant
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