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Ecosystem Spectral Information System (EcoSIS): Integration of Spectral Data with Measurements of Vegetation Functional Traits Alphabetically: Phil Dennison,

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Presentation on theme: "Ecosystem Spectral Information System (EcoSIS): Integration of Spectral Data with Measurements of Vegetation Functional Traits Alphabetically: Phil Dennison,"— Presentation transcript:

1 Ecosystem Spectral Information System (EcoSIS): Integration of Spectral Data with Measurements of Vegetation Functional Traits Alphabetically: Phil Dennison, University of Utah John Gamon, University of Alberta, SpecNet Simon Hook and Rob Green, JPL Shelley Petroy and Tom Kampe, NEON, Inc. Dar Roberts, UC-Santa Barbara Phil Townsend and Shawn Serbin, University of Wisconsin Susan Ustin, UC-Davis Art Zygielbaum, University of Nebraska …..and….. You!

2 Why Spectral Libraries? Tool for discovery. Characterize the diversity of function and its variability on earth. Document species characteristics and map them. …and metadata to ensure inter-comparability. Tools to facilitate the synthesis of large data sets by community. Precedents: Aster Spectral Library Deliver scientifically vetted data to an international and open community of researchers…

3 Sugar MapleRed OakHemlock Black SpruceRed Pine

4 Maple Pine Broadleaf trees Conifer trees Leaf-level spectra

5 Genotypes of aspen. Different reflectance. Different chemistry. Soybeans: same variety, different levels of pest pressure. Milkweed. Rapidly induced chemical defenses to perturbations.

6 G. Pastorello and J. Gamon Plant stress and mitigation Spectral data serve as “proxy” measurements for all ranges of underlying properties and functions in ecosystems that are costly, impractical, inconvenient or impossible to otherwise characterize at broad spatial and temporal scales.

7 EcoSIS Deliverable EcoSIS Public Database Spectral Library ( μm) Spectral Library ( μm) Metadata Associated measurements (species, chemistry, etc.) Associated measurements (species, chemistry, etc.) Visualization, Query, Discovery EcoSIS Tools (Open Source) EcoSIS Activities (lead institutions) Develop Database Back-End (UC-Davis, JPL) Develop Database Back-End (UC-Davis, JPL) Develop EcoSIS User Interface (UC-Davis, JPL, UW) Develop EcoSIS User Interface (UC-Davis, JPL, UW) Populate EcoSIS (all members, coordinated by UW) Populate EcoSIS (all members, coordinated by UW) Metadata Standards (UW, NEON, Alberta, UNL) Metadata Standards (UW, NEON, Alberta, UNL) EcoSIS Tools (UW, Alberta, community) EcoSIS Tools (UW, Alberta, community) Best Practices (UCSB, NEON, Alberta, UNL) Best Practices (UCSB, NEON, Alberta, UNL) Accommodation of Legacy and New Data Sets Evolution of Open-source Tools for Discovery & Analysis Development of a Broader EcoSIS User Community Synthesis Studies & Meta-Analyses Synthesis Studies & Meta-Analyses QAQC, Error Assessment (UW, JPL) QAQC, Error Assessment (UW, JPL) Growth of EcoSIS to Reflect Evolving Science Needs EcoSIS Outcomes (via community engagement)

8 c/o Andy Hueni International linkages are important: Moving Forward: Community participation is essential: Decision-making open process Review/oversight committee Your data contributions to EcoSIS Open source data and tools Virtual meetings, side meetings at AGU, etc.


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