LANDFIRE.HI_105ESP

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Title: LANDFIRE.HI_105ESP
Description:
Abstract:
The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The environmental site potential (ESP) data layer represents the vegetation that could be supported at a given site based on the biophysical environment. Map units are named according to NatureServe's Ecological Systems classification, which is a nationally consistent set of mid-scale ecological units (NatureServe 2008). Usage of these classification units to describe environmental site potential, however, differs from the original intent of Ecological Systems as units of existing vegetation. As used in LANDFIRE, map unit names represent the natural plant communities that would become established at late or climax stages of successional development in the absence of disturbance. They reflect the current climate and physical environment, as well as the competitive potential of native plant species. The ESP layer is similar in concept to other approaches to classifying potential vegetation in the western United States, including habitat types (for example, Daubenmire 1968 and Pfister and others 1977) and plant associations (for example, Henderson and others 1989). It is important to note that ESP is an abstract concept and represents neither current nor historical vegetation. To create the ESP data layer for Hawaii, areas that were affected by disturbance across the landscape were identified in the EVT layer and masked. These disturbances included fire, insect damaged areas, and anthropogenic activities (i.e. timber harvesting, urban land cover, agriculture and pasture land cover types, introduced flora and fauna etc.). These areas were modeled via logical rule sets to the ecological system most likely to persist in the location in the absence of disturbance. Jim Jacobi (U.S. Geological Survey) and Sam Gon (The Nature Conservancy) served as the primary contacts for developing logical rule sets for Hawaiian environmental site potential (ESP) layer. Logical rule sets incorporated the Existing Vegetation Type (EVT) and readily available elevation, hydrologic, and climate datasets in order to predict the spatial distribution of the environmental site potential (ESP). Other independent variables, such as soils, wetlands, and flow accumulation, were integrated after internal quality control in order to refine the initial ESP prediction. Final ESP values were derived through a series of rulesets, lumping and/or splitting, and spatially contextual models. Although the ESP data layer is intended to represent current site potential, the actual time period for this data set is variable. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone.
Purpose:
LANDFIRE is a five-year, multi-partner wildland fire, ecosystem, and wildland fuel mapping project. This project will generate consistent, comprehensive maps and data describing vegetation, fire, and fuel characteristics across the United States in support the National Fire Plan and the Healthy Forests Restoration Act. The LANDFIRE Project is producing digital geospatial data describing existing vegetation composition and structure, wildland fuel (crown and surface), simulated historical fire regimes, and current departure from simulated historical vegetation conditions. The consistent and comprehensive nature of LANDFIRE methods ensures that data will be nationally relevant, while the 30-meter grid resolution assures that data can be locally applicable. Mapped data is produced based on peer-reviewed science from the fields of remote sensing, ecosystem simulation, vegetation and disturbance ecology, predictive landscape mapping, landscape simulation, and fire behavior and effects modeling. LANDFIRE is supported by the US Department of Agriculture (USDA) Forest Service Office of Fire and Aviation Management, the US Department of Interior (US DOI) Office of Wildland Fire Coordination, and The Nature Conservancy. LANDFIRE tasks are completed at the USDA Forest Service Rocky Mountain Research Station Missoula Fire Sciences Laboratory (MFSL) in Missoula, Montana; USDOI Geological Survey for Earth Resources Observation and Science (USGS EROS) in Sioux Falls, South Dakota; and The Nature Conservancy in Boulder, Colorado. LANDFIRE meets agency, partner, and stakeholder needs for data to support landscape fire management planning, prioritization of fuel treatments, collaboration, community and firefighter protection, and effective resource allocation.
Status:
Maintenance_and_Update_Frequency: Continually
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -160.6050
East_Bounding_Coordinate: -154.7280
North_Bounding_Coordinate: 22.2961
South_Bounding_Coordinate: 18.8399
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Raster digital data
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: GIS
Theme_Keyword: LANDFIRE
Theme_Keyword: USFS
Theme_Keyword: United States Forest Service
Theme_Keyword: ESP
Theme_Keyword: Environmental Site Potential
Theme_Keyword: Potential Vegetation
Theme_Keyword: Sanborn
Theme_Keyword: imageryBaseMapsEarthCover
Access_Constraints: None
Use_Constraints: None
Data_Set_Credit:
Data have been collected and analyzed by teams at the USGS EROS, Sioux Falls, SD, Sanborn, Portland, OR, and at the USFS, Rocky Mountain Research Station, Missoula, MT. Depending on the data set described primary responsibility may reside with USGS EROS or with USFS. Contact information will be listed in the Contact Section and in the Metadata Reference section with regards to the primary responsibility.
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: esp
Entity_Type_Definition: Environmental Site Potential
Entity_Type_Definition_Source: Landfire
Attribute:
Attribute_Label: ObjectID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Value
Attribute_Definition: Environmental site potential
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: Count
Attribute_Definition: Number of pixels
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: Esp_name
Attribute_Definition: Environmental site potential name
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: R
Attribute_Definition: Red color value
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: G
Attribute_Definition: Green color value
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: B
Attribute_Definition: Blue color value
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: Red
Attribute_Definition: Red color value/255
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: Green
Attribute_Definition: Green color value/255
Attribute_Definition_Source: Landfire
Attribute:
Attribute_Label: Blue
Attribute_Definition: Blue color value/255
Attribute_Definition_Source: Landfire
Overview_Description:
Entity_and_Attribute_Overview:
VALUE_ ESP_NAME
11 Open Water 31 Barren 1804 Hawai'i Freshwater Marsh 1806 Hawai'i Bog 1808 Hawai'i Lowland Rainforest 1809 Hawai'i Montane Cloud Forest 1810 Hawai'i Montane Rainforest 1811 Hawai'i Wet Cliff and Ridge Crest Shrubland 1813 Hawai'i Lowland Dry Forest 1814 Hawai'i Lowland Mesic Forest 1815 Hawai'i Montane-Subalpine Dry Forest and Woodland 1816 Hawai'i Montane-Subalpine Mesic Forest 1817 Hawai'i Lowland Dry Shrubland 1818 Hawai'i Lowland Mesic Shrubland 1819 Hawai'i Lowland Dry Grassland 1820 Hawai'i Lowland Mesic Grassland 1821 Hawai'i Montane-Subalpine Dry Shrubland 1822 Hawai'i Montane-Subalpine Dry Grassland 1823 Hawai'i Montane-Subalpine Mesic Grassland 1824 Hawai'i Alpine Dwarf-Shrubland 1825 Hawai'i Dry Cliff 1826 Hawai'i Dry Coastal Strand 1827 Hawai'i Wet-Mesic Coastal Strand 1828 Hawai'i Subalpine Mesic Shrubland
Entity_and_Attribute_Detail_Citation: LANDFIRE Environmental Site Potential
Metadata_Reference_Information:
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time