Debbie Johnson, Aerial Information Systems, Company Lead 20210329 vector digital data https://www.wildlife.ca.gov/Data/BIOS https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2800_2899/ds2858.zip The mapping study area was divided into two areas of Modoc and Lassen Counties. The Applegate area consists of approximately 84,574 acres, and work was performed on the project between 2017 and 2021. The Eagle Lake area, consists of approximately 66,402 acres in Lassen County, and Work was performed on the project between 2019 and 2021. The eastern portion of the Applegate area used the 2016 NAIP imagery as a base and the Eagle Lake and western portion of Applegate area were mapped using the 2018 NAIP imagery.The vegetation classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on new surveys and classification work conducted in collaboration with CDFW VegCAMP. The map was produced applying heads-up digitizing techniques using a base of one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 1 acre; exceptions are made for wetlands and riparian types, which were mapped to a 1/4 acre MMU.Field reconnaissance and accuracy assessment enhanced map quality. There were a total of 91 classes mapped in the Applegate area. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 92.2 percent at the 60-100% Correct or Acceptable level, and 86.4 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 88.1 percent at the 60-100% Correct or Acceptable level, and 79.1 percent at the 80-100% Correct or Acceptable level. For the Eagle Lake area, there were a total of 78 mapping classes. The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 86.3 percent at the 60-100% Correct or Acceptable level, and 81.9 percent at the 80-100% Correct or Acceptable level. At the Association level, the Fuzzy Accuracy Assessment ratings were was 84.0 percent at the 60-100% Correct or Acceptable level, and 72.4 percent at the 80-100% Correct or Acceptable level. See the contingency tablesfor more detailed informationCitations:Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of and Lassen County, California for the Bureau of Land Management (Eagle Lake Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Menke, J., E. Reyes, Sikes, K, J. Evens, R. Boul, Keeler-Wolf, T., D. Johnson and A. Hepburn. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. U.S. Bureau of Land Management; 3/2021.Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021. Under contract to the U.S. Bureau of Land Management (BLM), Aerial Information Systems (AIS) created a fine-scale vegetation map of portions of the Modoc Plateau in northeastern California. AIS subcontracted the California Native Plant Society (CNPS) to conduct classification development work needed for this project, as well as accuracy assessment (AA) field data collection. The California Department of Fish and Wildlife’s (CDFW) Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to incorporate contributions by CNPS to create a broader ecoregional classification, and to allocate and score the AA. The primary purpose was an effort toward BLM’s goal of developing fine-scale digital vegetation maps for all the public lands it manages in California. None planned -121.042379 -120.048094 41.281824 40.585353 None Vegetation ISO 19115 Topic Categories environment imageryBaseMapsEarthCover None Modoc County, Lassen County, California, Modoc Plateau None License: This work is licensed under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets (https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer:The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data.CDFWs VegCAMP appreciates learning how these vegetation datasets are being used so that we can leverage support for classifying and mapping new areas and let users know of any updates. Please contact us at VegCAMP@wildlife.ca.govor call any of the staff listed here: https://wildlife.ca.gov/Data/VegCAMP California Department of Fish and Wildlife Rachelle Boul Senior Ecologist VegCAMP@wildlife.ca.gov This map was funded by U.S. Bureau of Land Management (BLM). Aerial Information Systems (AIS) created a fine-scale vegetation map of portions of the Modoc Plateau in northeastern California. AIS subcontracted the California Native Plant Society (CNPS) to conduct classification development work needed for this project, as well as accuracy assessment (AA) field data collection. The California Department of Fish and Wildlife’s (CDFW) Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to incorporate contributions by CNPS to create a broader ecoregional classification, and to allocate and score the AA Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 Vector GT-polygon composed of chains 7038 NAD 1983 California Teale Albers 34.0 40.5 -120.0 0.0 0.0 -4000000.0 coordinate pair 0.0001 0.0001 meter D North American 1983 GRS 1980 6378137.0 298.257222101 ds2858 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. NVCSName The standardized name of the vegetation description used National Vegetation Classification System (see http://usnvc.org/) or submitted to the regional editors for induction. Names will be the same as ones used in the Manual of California Vegetation (https://vegetation.cnps.org/) and California Natural Community List (https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities). Classes for human land use or otherwise unvegetated land were drawn from the California Wildlife Habitat Relationship. https://vegetation.cnps.org/ NVCSLevel The standardized level of the vegetation description used in the 2019 National Vegetation Classification System http://usnvc.org MapClass The finest level of vegetation type mapped (alliance, association, group or macrogroup); or descriptions for polygons that are not natural vegetation per the mapping classification, including land use and natural barrens or water features. Map classes are described in the mapping report by Aerial Information Systems MapClassCode The finest level of vegetation type mapped (alliance, association, group or macrogroup); or descriptions for polygons that are not natural vegetation per the mapping classification, including land use and natural barrens or water features. Map classes are described in the mapping report by Aerial Information Systems. MapClassCode MapClass 11110 Abies concolor Alliance 11111 Abies concolor - Pinus ponderosa / Amelanchier alnifolia Association 12110 Populus tremuloides Alliance 12111 Populus tremuloides / Symphoricarpos rotundifolius Association 13110 Populus trichocarpa Alliance 14100 Central Rocky Mountain Ponderosa Pine Open Woodland Group 14111 Pinus ponderosa - Juniperus occidentalis / Artemisia tridentata - Purshia tridentata Association 14112 Pinus (jeffreyi, ponderosa) / (Ceanothus prostratus - Purshia tridentata) Association 14120 Pinus ponderosa / Shrub Understory Alliance 15123 Pinus ponderosa / Arctostaphylos patula - Purshia tridentata Association 15124 Pinus jeffreyi / Artemisia tridentata ssp. vaseyana / Festuca idahoensis Association 16110 Juniperus occidentalis Alliance 16115 Juniperus occidentalis / (Poa secunda - Festuca idahoensis - Pseudoroegneria spicata) Association 16117 Juniperus occidentalis - (Pinus jeffreyi - Pinus ponderosa) / Cercocarpus ledifolius Association 16118 Juniperus occidentalis / Artemisia arbuscula / Poa secunda Association 16119 Juniperus occidentalis / Artemisia tridentata - Purshia tridentata Association 16210 Cercocarpus ledifolius Alliance 16211 Cercocarpus ledifolius - Artemisia tridentata ssp. vaseyana Association 16212 Cercocarpus ledifolius Association 19110 Pinus contorta ssp. murrayana Alliance 22111 Ericameria nauseosa Association 22112 Ericameria nauseosa / Bromus tectorum Association 22120 Bromus tectorum - Elymus caput-medusae Alliance 22121 Bromus tectorum Association 22122 Elymus caput-medusae Provisional Association 22210 Artemisia arbuscula Alliance 22211 Artemisia arbuscula / Poa secunda Association 22213 Artemisia arbuscula / Bromus spp. - Elymus caput-medusae Association 22214 Artemisia arbuscula - Eriogonum (microthecum, sphaerocephalum) Association 22231 Eriogonum sphaerocephalum / Poa secunda Association 22310 Artemisia tridentata Alliance 22311 Artemisia tridentata / Distichlis spicata Provisional Association 22313 Artemisia tridentata Association 22317 Artemisia tridentata - (Ericameria nauseosa) / Bromus tectorum Association 22320 Artemisia tridentata ssp. vaseyana Alliance 22321 Artemisia tridentata ssp. vaseyana - Symphoricarpos oreophilus / Bromus carinatus Association 22322 Symphoricarpos oreophilus Association 22323 Artemisia tridentata ssp. vaseyana / Festuca idahoensis Association 22330 Purshia tridentata - Artemisia tridentata Alliance 22333 Purshia tridentata - Artemisia tridentata / Achnatherum hymenoides Association 22335 Purshia tridentata - Artemisia tridentata Association 24111 Chrysothamnus viscidiflorus Association 31100 Western North American Montane Scrub Group 31110 Ceanothus velutinus Alliance 31111 Ceanothus velutinus Association 31112 Ceanothus velutinus - Prunus emarginata - Artemisia tridentata Association 31121 Prunus emarginata Association 31122 Holodiscus discolor Association 31123 Ribes velutinum Provisional Association 31131 Arctostaphylos patula Association 31132 Arctostaphylos patula - Ceanothus velutinus Association 32110 Festuca idahoensis - Pseudoroegneria spicata - Poa secunda Alliance 32111 Pseudoroegneria spicata - Poa secunda Association 32112 Festuca idahoensis - Pseudoroegneria spicata Association 32120 Elymus smithii Unique Stands 34110 Acmispon americanus Provisional Alliance 41100 Rocky Mountain - Great Basin Lowland - Foothill Riparian Shrubland Group 41110 Artemisia cana Alliance 41111 Artemisia cana (ssp. bolanderi, ssp. viscidula) / Poa secunda Association 41120 Salix exigua Alliance 41130 Prunus virginiana Alliance 41131 Prunus virginiana / Symphoricarpos rotundifolius Association 41210 Betula occidentalis Alliance 41300 Vancouverian - Rocky Mountain Montane Wet Meadow and Marsh Group 41311 Carex aquatilis - Carex lenticularis Association 41320 Carex simulata Alliance 41331 Deschampsia cespitosa Association 41351 Juncus nevadensis Association 41370 Juncus balticus - Juncus mexicanus Alliance 41371 Juncus arcticus var. balticus - (var. mexicanus) Association 41380 Poa secunda - Muhlenbergia richardsonis - Carex douglasii Alliance 41382 Taraxia tanacetifolia - Iva axillaris Provisional Association 43110 Salix lasiolepis Alliance 43111 Salix lasiolepis - Rosa woodsii / Mixed Herbs Association 43120 Salix boothii - Salix geyeriana - Salix lutea Alliance 43121 Salix lucida / Poa pratensis Association 43132 Rosa woodsii Association 44100 Californian Vernal Pool Group 44110 Eleocharis (acicularis, macrostachya) Alliance 44111 Eleocharis macrostachya Provisional Association 44200 Oregon-Washington-British Columbia Vernal Pool Group 44210 Navarretia leucocephala ssp. minima - Plagiobothrys cusickii Alliance 45100 Arid West Interior Freshwater Marsh Group 45110 Typha domingensis - Typha latifolia - Typha angustifolia Alliance 45111 Typha domingensis Association 45121 Schoenoplectus americanus Association 46000 Western North American Ruderal Marsh, Wet Meadow and Shrubland Macrogroup 47110 Sarcobatus vermiculatus Alliance 47111 Sarcobatus vermiculatus - Artemisia tridentata Association 48100 North American Desert Alkaline-Saline Marsh and Playa Group 48110 Distichlis spicata Alliance 48120 Elymus cinereus - Elymus triticoides Alliance 48121 Elymus cinereus Association 48122 Elymus triticoides - Poa secunda Association 61100 Columbia Plateau cliff, scree and rock mapping unit 92000 Agriculture (within the current 5 - year cycle) 92100 Woody Agriculture (orchards, vineyards) 92200 Non-woody Row and Field Agriculture 92300 Irrigated Pastures 93000 Built-up and Urban Disturbance 93200 Anthropogenic Areas of Little or No Vegetation 98000 Water 98010 Perennial Stream Channel (Open Water) 98030 Small Earthen-dammed Ponds and Natural Lakes ConCov Percent bird’s-eye cover of conifers estimated in 1% incremetns within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. 999 = not evaluated. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. HdwdCov Percent bird’s-eye cover of hatrdwood trees estimated in 1% incremetns within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. 999 = not evaluated. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. TreeCov Percent bird’s-eye cover of trees estimated in 1% incremetns within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. 999 = not evaluated. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. ShrubCov Percent bird’s-eye cover of shubs estimated in 1% incremetns within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. 999 = not evaluated. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. HerbCov Percent bird’s-eye cover of herbs estimated in classes within a vegetation stand. Herbaceous vegetation is attributed to the following category ranges: 1 = None or Not Observable, <2% 2 = 2-9% 3 = 10-40% 4 = >40% 999 = Not applicable/Not assigned Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. 999 = not evaluated. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. Exotics 0 None visible Sparse herbaceous vegetation with a minimal to low relative cover of exotic species; based on field data, no evidence of exotics in sampling, no evidence of exotics on imagery and based on modeling, assumed not present or not regular in the stand. 1 Patches of exotics visible, but cover not significant (relative cover to total <33%) Sparse to moderate cover of herbaceous vegetation with a low to moderately high relative cover of exotic species. Patches of exotics are visible, but cover is not significant. 2 Exotics (particularly herbaceous) significant and cover may exceed dominant vegetation strata (relative cover <66%) Exotics are significant and cover may exceed the dominant vegetation strata. Areas of higher disturbance are likely to be in this category. 3 Stand characterized by exotics (vegetation type is “exotic”) (relative cover >66%) This is reserved primarily for Alliance-level calls which are defined by exotics; stands are characterized by exotic vegetation (as defined by the map unit). Examples of this are stands of Bromus tectorum. 9 Not applicable/Not assigned Exotics are not applicable when the MapUnit is 9230, 9300, 9310, 9320, 9800, 9801, 9803, 9805. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA Roadedness 0 None visible 1 Low: at least 2/3 (67% to 100%) of the vegetation polygon area is roadless 2 Moderate: between 1/3 and 2/3 (33% to 66%) of the vegetation polygon is intersected by roads of any kind 3 High: less than 1/3 (<33%) of the vegetation polygon lacks roads of any kind 9 Not applicable/Not assigned Roadedness is not applicable when the MapUnit is 9200, 9210, 9220, 9300, 9310, 9800, 9801, 9803, 9804, 9805. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA Development 0 None visible There are no noticeable junk piles, isolated homes, structures, etc. within the polygon. 1 Low; less than 2% of polygon affected Junk piles, structures, cement pads, etc. are inconsistently distributed at very low density. 2 Moderate; between 2% to 5% of the polygon affected Multiple examples of dispersed junk, buildings, or other structures, etc. are visible throughout the polygon. There may be a dense concentration of development within a single or few parts of the vegetation polygon. 3 High; more than 5% of polygon affected Multiple examples are evenly distributed in a vegetated polygon; typically meets the 2.5 acre threshold to map a “Built-up and Urban Disturbance” (9300) polygon. However, mines or open pits coded as 9300 may be assigned a Development Disturbance code of 0, 1, 2, or 3 depending on the amount of structures or debris present in the polygon. 9 Not applicable/Not assigned Development Disturbance is not applicable when the MapUnit is 9200, 9210, 9220, 9801. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. AnthroAlt This indicates the level of impact on vegetation through tillage, scraping, mining, etc. Disturbance from structures, pavement, or debris is not included here but is addressed in Development Disturbance. Anthropogenically Altered Disturbance captures past disturbances in the landscape that are still visible through their impact on vegetation, but do not have enough of an impact to change the vegetation type or percent cover range. For example, striations from former cultivation may be present on parcels of land that have not been under agriculture for decades. Anthropogenically Altered Disturbance is typically bounded by a straight-line feature such as a fenceline or road, implying man-induced activity. Not included are small clearings caused by OHV traffic at road intersections, fire effects, and powerline tower pedestal clearings. 0 None visible No ghost lines of tilling, differential effects of enclosure/exclosure fencing, effects of grazing/browsing, etc. are visible. 1 Less than 33% of polygon is affected and/or impact is seen but does not affect vegetation cover or type Less than 1/3 of a vegetation polygon has visible evidence of clearing, prior agricultural activity or other effects. 2 Between 33% to 66% of polygon is affected A vegetation polygon has more than 1/3 but less than 2/3 visible effects of clearing, prior agricultural or other effects. 3 More than 66% of polygon affected A vegetation polygon has more than 2/3 visible effects of clearing, prior agricultural or other effects. 9 Not applicable/Not assigned Anthropogenic alteration is not applicable when the MapUnit is 9801. Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. Notes MethodID This attribute was used to indicate how the MapUnit coding decision was reached for a polygon by identifying what type of field data (if any) was used to support the vegetation type assignment. For polygons that did not have any corresponding point data, the value of “photo interpretation” was assigned. The Method ID attribute facilitated the accuracy assessment sample allocation process, as polygons that had reliable field information for type assignment could be identified and omitted from the final allocation. The following is a list of the values used: 1 - Rapid Assessment (current project) 2 – Relevé 3 - Field Verification 4 - Photo Interpretation 5 - Adjacent Stand: Information or Ground Photo 6 - Reconnaissance (current project) 7 - Other Information 8 - Older Plot Data 9 - Older Recon Data 10 - Accuracy Assessment 60 - Additional Recon Information Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. IsoTree The Isolated Tree attribute is a binary field (yes/no) indicating polygons that have a presence of trees too low to assign a percent cover. It may assist in denoting habitats where raptors can perch on isolated trees to look for prey, such as sage grouse. It is frequently used for nearly treeless sagebrush flats. 1 = Yes 2 = No Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. JuOcExp The JUOC Expansion attribute describes invasion of Juniperus occidentalis into stands. It can denote expansion of young junipers into any habitat, including juniper or other conifer woodlands, meadows, shrublands and upland grasslands). “Young” is defined as less than 6” diameter at breast height (dbh). 0 = Non visible 1 = 0-1% young 2 = 1-4% young 3 = 4-10% young 4 = >10% young 999 = Not applicable/Not assigned Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. Restoration The Restoration attribute describes several types of restorative activity. Primarily indicates restoration of grassland habitats for grouse by cutting down large swaths of juniper, often left dead in place. There are 6 categories, but the only category used frequently is juniper removal. 1 = Not obvious 2 = JUOC removal 3 = Grass/forbs seeding 4 = Shrub/tree planting 5 = Thinning (Pine, JUOC) 6 = Other (see comments in Notes field) 999 = Not applicable/Not assigned Menke, J., E. Reyes, K. Sikes, J. Evens, Rachelle Boul, T. Keeler-Wolf, D. Johnson, and A. Hepburn. 2021. Fine-Scale Vegetation Map of a Portion of Modoc and Lassen Counties, California for the Bureau of Land Management (Applegate Field Office) Contract L17PX00036. Final Report. Prepared for the U.S. Bureau of Land Management. Aerial Information Systems, Inc., Redlands, CA. Size CWHR Size were mapped for forest and woodland types only, as part of the photointerpretation process. 1 = Seedlings (<1”) 2 = Saplings (1-6”) 3 = Pole (6-11”) 4 = Small (11-24”) 5 = (Medium-Large (>24”) 6 = MultiLayer 999 = Not applicable/Not assigned Height Height attribution was mapped for forest and woodland types only, as part of the photointerpretation process. The classes are given as ranges of values. 1 = <1/2m 2 = 1/2-1m 3 = 1-2m 4 = 2-5m 5 = 5-10m 6 = 10-15m 7 = 15-20m 8= 20-35m 9 = 35-50m 10 = >50m 999 = Not applicable/Not assigned Acres GIS-calculated acreage UID Unique identifier for the polygon CalVegName A crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 CalVegCode CalVeg code for the crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 CWHRType A crosswalk to the California Wildlife Habitat Relationships system. Note that there is often a one-to-many relationship between CWHR and NVCS, but the closest for the region are selected here. See http://www.dfg.ca.gov/biogeodata/cwhr/ http://www.dfg.ca.gov/biogeodata/cwhr/ CWHRCode A crosswalk to the California Wildlife Habitat Relationships system. Note that there is often a one-to-many relationship between CWHR and NVCS, but the closest for the region are selected here. See http://www.dfg.ca.gov/biogeodata/cwhr/ http://www.dfg.ca.gov/biogeodata/cwhr/ GlobalRank The global rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from G1 which is critically imperiled/has very few occurrences to G5, when a community is demonstrably secure due to broad distribution with area not subject to threats. Ranks G1-G3 are considered sensitive. See: http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities. Ranks are current as of the publication date or update date. http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities StateRank The state rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from S1 which is critically imperiled/has very few occurrences to S5, when a community is demonstrably secure due to security globally. Ranks S1-S3 are considered sensitive. See: http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities. Ranks are current as of the publication date or update date. http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities Rare Rarity of the vegetation type. Y= yes, sensitive natural community. Alliances and associations with global ranks of G1-G3 state ranks of S1-S3 are considered sensitive natural communities. Additionally if an association has not gone through the ranking process, but is estimated to be sensitive Y will be shown without a G or S rank. Ranks are current as of the publication date or update date. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities/Background CaCode California Natural Community Codes - unique code assigned to alliances and associations. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities NVCSAlliance The standardized name for the alliance within the National Vegetation Classification System, as described in the Modoc Lassen Classification, Boul, R., T. Keeler-Wolf, J. Ratchford, T. Haynes, D. Hickson, R. Yacoub, B. Harbert, J. Evens. 2021. Classification of the Vegetation of Modoc and Lassen Counties, California. Vegetation Classification and Mapping Program, California Department of Fish and Wildlife, Sacramento, CA ; https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=183030 NVCSGroup The standardized name for the group within the National Vegetation Classification System, as described in the Modoc Lassen Classification, Boul, R., T. Keeler-Wolf, J. Ratchford, T. Haynes, D. Hickson, R. Yacoub, B. Harbert, J. Evens. 2021. Classification of the Vegetation of Modoc and Lassen Counties, California. Vegetation Classification and Mapping Program, California Department of Fish and Wildlife, Sacramento, CA ; https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=183030 NVCSMacrogroup The standardized name for the macrogroup within the National Vegetation Classification System, as described in the Modoc Lassen Classification, Boul, R., T. Keeler-Wolf, J. Ratchford, T. Haynes, D. Hickson, R. Yacoub, B. Harbert, J. Evens. 2021. Classification of the Vegetation of Modoc and Lassen Counties, California. Vegetation Classification and Mapping Program, California Department of Fish and Wildlife, Sacramento, CA ; https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=183030 Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Ortho_NAIP_Year The year that the NAIP imagery that is the base for the map was acquired. SubArea Whether the polygon is part of the Applegate or Eagle Lake area 20221215 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time