This data product contains raster maps of live tree aboveground biomass (tons/pixel) for Ashe juniper (Juniperus ashei), 2014-2018. An efficient approach for mapping multiple individual tree species over large spatial domains was used to develop these raster datasets. The method integrates vegetation phenology derived from dense time series of Landsat imagery and raster data describing relevant environmental parameters with extensive field plot data of tree species aboveground biomass to create maps of tree species abundance and distribution at a 30-meter (m) pixel size for the contiguous United States. The approach uses the modeling techniques of k-nearest neighbors and canonical correspondence analysis, where model predictions are calculated using the mean of the nearest neighbors based on proximity in a feature space derived from the model.

The map of low-density juniper was generated using a random forests model that predicted the probability of low-density juniper (cover < 15%) as a function of seed source distance, see source density, climate, topography, and land use. The final model had an area under the receiver operating characteristic curve (AUC) of 0.884. When low-density juniper was predicted using a probability cutoff of 0.38, the resulting classification had a sensitivity of 0.71 and a specificity of 0.88.The low-density juniper probability map is stored as the GeoTIFF file "juniper_prob_masked.tif". The classified map based on a probability cutoff of 0.38 is stored as the GeoTIFF file "juniper_lowdens_masked.tif". The dataset has a raster cell size of 30 m and is in the UTM projection, zone 14N.

The juniper distribution map was generated from two Landsat 8 scenes collected from path/row 29/30 on 07JAN2015 and from path/row 30/30 on 01JAN2016. Both scenes had >95% snow cover. Matched filtering, a partial unmixing technique, was used to calculated juniper fractions based on a set of endmember pixels, and a threshold was applied to create the classified map. Classification accuracy was 91% for path/row 29/30 and 88% for path/row 30/30. The juniper map is stored as the GeoTIFF file "Juniper_Map_Final.tif". The dataset has a raster cell size of 30 m and is in the UTM projection, zone 14N.

This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of 30 meters. Biomass estimates are limited to areas of the Great Basin defined as a pinyon-juniper ecosystem type by the 2016 Landfire Existing Vegetation Type map. The estimates of biomass were based on a linear relationship with pinyon-juniper canopy cover and crown-based allometrics developed from field data in Nevada and Idaho. Canopy cover was estimated from remote sensing by using annual composites of Landsat imagery, which were temporally segmented with the LandTrendr algorithm, along with biologically-relevant climate variables, and topographic indices in a Random Forest regression model. Models of canopy cover were trained from semi-automatic extraction of tree crowns from 2011 - 2013 high resolution imagery (1 m) from the National Agriculture Imagery Program, which were validated with photo interpretation. Maps of the standard deviation of biomass estimates from decision trees in the Random Forest model are provided as an indicator of uncertainty. Biomass estimates were calibrated to estimates from the Forest Inventory and Analysis program (FIA) on an annual basis and corrections applied.

Increased imports of plants and timber through global trade networks provide frequent opportunities for introduction of novel plant pathogens that can cross-over from commercial to natural environments, threatening native species and ecosystem functioning. Prevention or management of such outbreaks relies on a diversity of cross-sectoral stakeholders acting along the invasion pathway. Yet guidelines are often only produced for a small number of stakeholders, missing opportunities to consider ways to control outbreaks in other parts of the pathway. We used the infection of common juniper with the invasive pathogen Phytophthora austrocedri as a case study to explore the utility of decision tools for managing outbreaks of plant pathogens in the wider environment. We invited stakeholders who manage or monitor juniper populations or supply plants or management advice to participate in a survey exploring their awareness of, and ability to use, an existing decision tree produced by a coalition..., Please see the journal article Donald et al. 2024 in Ecology and Evolution for a comprehensive description of the methods. In summary, a self-completion questionnaire was designed consisting of 21 open and closed format questions of which 13 were mandatory. The survey asked three questions about stakeholder experience and role relating to juniper management, Phytophthora austrocedri and juniper planting. It was then presented in two main sections with: i) six questions pertaining to the awareness and use of the Department for Environment Food and Rural Affairs Juniper management guidelines published in 2017 and ii) nine questions about the sources and utility of spatial information (distribution maps) followed by three questions about the expected importance of potential infection risk factors. Both the management guidelines and the Shiny app with maps of the distribution of juniper, P. austrocedri and juniper planting compiled in September 2020 are linked to as supplementary informati..., , # Survey responses from stakeholders managing, growing, advising or assessing UK populations of Juniperus communis

https://doi.org/10.5061/dryad.msbcc2g4n

This dataset publishes responses received from 41 stakeholders sent a self-completion questionnaire in October 2020 asking about their awareness of a decision framework presented in the Juniper Management Guidelines (Defra, 2017, available at JuniperManagementGuidelinesSeptember2017Published.pdf (planthealthcentre.scot)), importance of abiotic and biotic factors stakeholders believe contribute to the spread of the plant pathogen Phytophthora austrocedri, and the utility of accompanying distribution maps for juniper and P. austrocedri in the UK created by the authors (available at [https://floradonald-juniper-planting-2020.shinyapps.io/Planting2/](...

Witness tree counts within town/township polygons were tallied from early land survey records of town outlines and lotting subdivisions. Overall dates ranged from 1623 to 1870, but varied by town and were recorded about the time of first settlement of the town. A myriad of archived sources were tapped from town, state and national repositories, historical societies and private collections. The SetTreeComp_Northeast_Level1_v1.0 database includes records throughout the domain collated by Charles Cogbill, and include contributions from southern New England by John Burk, from the Catskills, New York by Robert McIntosh, and from the Finger Lakes, New York by Peter Marks. Every effort was used to avoid duplication of trees. The taxa classes were generally genera or unambiguous categories based on the vernacular names used by the surveyors. In several cases (black gum/sweet gum, ironwood, poplar/tulip poplar, cedar/juniper), because of ambiguity in the common tree names used by surveyors, a group represents trees from different families and even orders. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

Ohio Township Surveys (OTS) provide spatially aggregated witness tree counts within the town/township polygons that were tallied from early land survey records of town outlines and lotting subdivisions. Overall dates ranged from 1623 to 1870, but varied by town and were recorded about the time of first settlement of the town. A myriad of archived sources were tapped from town, state and national repositories, historical societies and private collections. The SetTreeComp_Ohio_Level1_v1.0 database includes records throughout the domain from the Connecticut Western Reserve at the Connecticut State Archives and various records in the Ohio State Archives collated by Charles Cogbill, the collections of the Ohio Biological Survey through the efforts of Ronald Stuckey and the McLachlan lab at Notre Dame University, and records of the Ohio Land Company by James Dyer and the Marietta College Archives. Every effort was used to avoid duplication of trees. The taxa classes were generally genera or unambiguous categories based on the vernacular names used by the surveyors. In several cases (black gum/sweet gum, ironwood, poplar/tulip poplar, cedar/juniper), because of ambiguity in the common tree names used by surveyors, a group represents trees from different families and even orders. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

Description of the INSPIRE Download Service (predefined Atom): On the Scheid under the Unterstern Wacholderbusch zoning plan - The link(s) for downloading the datasets is/are dynamically generated from Get Map calls to a WMS interface

Distribution map of common juniper (Juniperus communis)These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Please cite as:Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 Additional information and used references are on 'supplementary materials' document:https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project:https://w3id.org/mtv/FISE-Comm/v01

This Vegetation Map of the San Felipe Valley Wildlife Area in San Diego County, California is based on vegetation samples collected in the field in 2002 and 2005 and on photo interpretation of a 2000 Color Infrared (CIR) Image. The map legend is based on classification of the plots and follows the hierarchical National Vegetation Classification System (USGS-NPS 2005) and Manual of California (Sawyer and Keeler-Wolf 1995). Types are cross-walked to California Wildlife Habitat Relationships (CWHR) and Holland types. No report was produced; this metadata serves to document the entire project. WHAT EACH RECORD REPRESENTS: Each record represents the attributes of the individual polygon in the map layer, including vegetation type, structural information, and disturbance information. The map represents vegetation as it existing prior to the 2002 Pines Fire. Polygons are attributed to the lowest level of the classification hierarchy allowed by the image resolution and comfort level of the photo interpreter. Thus, individual polygons are mapped to the Formation, Alliance or Association level. Several "mapping units" not in the vegetation classification were also used in the mapping classification (=map legend). The hierarchical classification and crosswalk allow mapping at coarser levels or in different systems (e.g., CWHR). If mapping at the Formation level (the "1000s" in the spreadsheet), please consider including the California juniper types 2106, 2171, 2172 and 2173 in the 4000s (Evergreen Shrubland). This juniper is considered a tree in the national classification, but is more shrub-like and its desert affinities make California juniper types fit more logically into the Evergreen Shrubland Formation.

Distribution map of prickly juniper (Juniperus oxycedrus)These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Please cite as:Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 Additional information and used references are on 'supplementary materials' document:https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project:https://w3id.org/mtv/FISE-Comm/v01

Distribution map of Canary Islands juniper (Juniperus canariensis).These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01