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Comprehensive Data Collection for Landscape Characterization and Cause/Effect Relationships

This group aims to identify necessary data for characterizing Conservation Lands (CLs) across diverse landscapes, establishing cause/effect relationships, leveraging existing data, and addressing data gaps through intensive and extensive data collection approaches. The focus is on various data sources including NADP/NTN, remote sensing, tree health assessment, soil moisture analysis, intensive surveys, and more to prioritize data parameters and bridge intensive and extensive data collection levels.

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Comprehensive Data Collection for Landscape Characterization and Cause/Effect Relationships

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  1. Group Participants • Rich F • Martin L • Pete M • Pam P • Bob M • Chuck S • Natasha D • Caroline H

  2. Data Questions • What data needed to characterize CLs across broad landscapes (extensive) • What data are needed to establish cause/effect relationships (intensive) • How can we leverage existing data • What addtl data are needed • How to fill gaps

  3. Four levels of data collection & analyses Intensive Sites I Gradient Survey G. S. Modeling* Probability Survey P. S. Extensive Sites Extensive * Allows for the identification of prioritized parameters

  4. Extensive Sites • NADP/NTN • IMPROVE • ECOMAP • MDN • Natl wetland inventory • NHD • TEUI • Human pop density maps • NEI • AIRS

  5. Extensive Sites – cont’d • Remote Sensing • Hyperspectral imagry • Tree health – insect/disease • MODUS (AQUA & TERRA) • Airborne lidar – canopy structure • Soil depth to bedrock? • Soil mosture

  6. Probability Surveys • EMAP and FS Sfc water surveys • FIA/FHM • CWA 305B, 303D – STORET • Terrestrial survey (R3)

  7. Gradient Surveys • Allows scaling from intensive to extensive • Linking can b e done via R. S. • Needs linking to maps (e.g., weathering) • Sources are from projects • Examples • NAWQA Synoptics • CA Bay Delta Study • PACFISH

  8. Intensive Sites • Look at 7 remaining candidate FS sites identified from 2004 • CENR intensive sites • LTER • Experimental Forests (FS) • NPS 3 intensive sites • RMNP (Loch Vale), GSMNP, SNP • LTBMU • WACAP – NPS toxics • NPS Vital signs program • W. Adirondacks/Poconos, Catskills

  9. Data Needs • Natl forest soils inventory • Regional maps of weathering • Disturbance maps • Fire • Harvesting • Drought • Extreme events • Additional intensive sites

  10. Key Points • Western intensive sites/data are less certain in the west due to diversity, elevation differences, site sparseness • Data need to be collected simultaneously for both aquatic and terrestrial • Not just class I areas • Initial focus is on forests (prototype sites) but soon find alpine and range sites

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