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Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in...
In forests, total belowground carbon (C) flux (TBCF) is a large component of the C budget and represents a critical pathway for delivery of plant C to soil. Reducing uncertainty around regional estimates of forest C cycling may be aided by incorporating knowledge of controls over soil respiration and TBCF. Photosynthesis, and presumably TBCF, declines with advancing tree size and age, and photosynthesis increases yet C partitioning to TBCF decreases in response to high soil fertility. We hypothesized that these causal relationships would result in predictable patterns of TBCF, and partitioning of C to TBCF, with natural variability in leaf area index (LAI), soil nitrogen (N), and tree height in subalpine forests...
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Tree Height Buffer distances for riparian management area analysis. These data provide both single and double tree height based buffer distances across the WOPR area. Tree height values have been adjusted for average slope adjacent to streams on BLM lands, by watershed. Separate values for perennial versus intermittent hydrologic features are provided. All buffer disances are in meters. BLM ( Bureau of Land Management) WOPR (Western Oregon Plan Revision) WOPR Purpose: A (Analysis) PRMP: Proposed Resource Management Plan RMA: Riparian Management Areas
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These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of them overlapping one another (Figure 1). These data are composed of individual scans referenced to one another using reflective targets, and geolocated using differentially corrected GPS and RTK locations of scan locations (Figure 3). There were overall large differences in point density among the two scanners (Figure 2).


    map background search result map search result map WOPR Tree Height Buffer Distance Polygon Baseline data for a hydrological restoration of a mangrove forest near Goodland, Florida (2015 - 2017) Northern Arizona Ponderosa Pine Forest Treatment Terrestrial Lidar Data Northern Arizona Ponderosa Pine Forest Treatment Terrestrial Lidar Data Baseline data for a hydrological restoration of a mangrove forest near Goodland, Florida (2015 - 2017) WOPR Tree Height Buffer Distance Polygon