GeoBOB_Publication_Flora_SJINM_Clip: Publication GeoBOB (geographic biotic observations) botany sites from 1800s through present in the San Juan Islands National Monument Resource Management Plan (SJINMRMP).

Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - These files include downscaled projections of decadal average monthly snow-day fraction (in percent) for the months Jan, Feb, Mar, Apr, May, Sep, Oct, Nov, Dec of the decades 2010-2019, 2020-2029, 2050-2059, and 2060-2069 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean.

The projections were produced for 5 models contributing to the IPCCs Fourth Assessment Report (CCCMA-CGCM3.1 t47, GFDL-CM2.1, MPI-ECHAM5, MIROC3.2 medres, and UKMO-HadCM3). This is a composite 5 model average, for the A2 emissions scenario.

These snow-day fraction estimates were produced by applying equations relating decadal average monthly temperature to snow-day fraction to downscaled projected decadal average monthly temperature. The equations were developed from daily observed climate data in the Global Historical Climatology Network. These data were acquired from the National Climatic Data Center in early 2012. Equations were developed for the seven climate regions described in Perica et al. (2012). Geospatial data describing those regions was provided by Sveta Stuefer.

These files utilize data from the Climatic Research Unit (CRU, http:www.cru.uea.ac.uk) TS3.1 dataset which was downscaled to 771m by the Scenarios Network for Alaska and Arctic Planning.

Perica, S., D. Kane, S. Dietz, K. Maitaria, D. Martin, S. Pavlovic, I. Roy, S. Stuefer, A. Tidwell, C. Trypaluk, D. Unruh, M. Yekta, E. Betts, G. Bonnin, S. Heim, L. Hiner, E. Lilly, J. Narayanan, F.Yan, T. Zhao. 2012. NOAA Atlas 14. Precipitation-Frequency Atlas of the United States.

The spatial extent is clipped to a YKL REA boundary bounding box.

The Oregon Department of Interior, Bureau of Land Management (BLM) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected on April 7, 2012 and encompasses a portion of Yamhill County in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.91 pulses per square meter over terrestrial surfaces. The area of interest (AOI) encompasses approximately 5,580 acres and the total area flown (TAF) covers 6,137 acres. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected.