MODIS-based annual production estimates from 2000-2015 for rangelands in USFS grazing allotments in Region 5

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Reeves, Matthew C.

Publication_Date: 2017

Title:

MODIS-based annual production estimates from 2000-2015 for rangelands in USFS grazing allotments in Region 5

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: Fort Collins, CO

Publisher: Forest Service Research Data Archive

Online_Linkage: https://doi.org/10.2737/RDS-2017-0004

Description:

Abstract:

This data publication contains an ESRI grid dataset describing annual productivity and drought in the non-forest domain of Region 5 (California) of the United States Forest Service (USFS). Production data were generated from the Rangeland Vegetation Simulator (RVS). This program uses Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000-2015 at 250 square meter resolution to estimate production. NDVI is converted to production estimates using vegetation specific coefficients in the Rangeland Vegetation Simulator (RVS). In addition to annual production data (offered in pounds per acre), this ESRI grid dataset also provides an annual summation of drought data from the USDA drought monitor for aiding interpretation of annual production data. Both the production and drought data are offered from 2000-2015. In addition, basic relationships, such as correlation coefficients, between drought and productivity are offered so that the analyst can find anomalies in allotments where production is not matching temporal patterns of drought. The RVS was applied to allotments of Region 5 of the USFS. The allotment data were spatially combined with CalVeg (Classification and Assessment with Landsat of Visible Ecological Groupings) (a polygon based description of vegetation types for California and more information can be found at: https://www.fs.fed.us/r5/rsl/projects/classification/system.shtml) layer to produce 4035 unique combinations of vegetation attributes and allotments. The vegetation classification used to do this combination was the Society for Range Management (SRM) cover type. There were 23 vegetation types considered to represent non-forested vegetation in the SRM classification found across the grazing allotments. The time period of analysis for this assessment across which production estimates were developed was also 2000-2015.

Purpose:

These data were generated to facilitate Forest Plan Revisions in Region 5 and assist in analyzing non-forest productivity trends for grazing allotments in R5. Grazing allotments are monitored to ensure that best management practices are applied, standards and guidelines are met, and landscapes are meeting or moving towards desired conditions. Monitoring can also help rangeland managers respond to natural phenomena such as wildfire, drought, and climate change. Monitoring provides feedback essential to making informed management decisions and evaluating their results. The Forest Service is required by law to develop and adhere to an analysis schedule for all of its grazing allotments. These data facilitate meeting these requirements by answering such questions as “what is the trend in annual production in California’s grazing allotments?”

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 2000

Ending_Date: 2015

Currentness_Reference:

ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: As needed

Spatial_Domain:

Description_of_Geographic_Extent:

All grazing allotments in the non-forest domain of Region 5 of the U.S. Forest Service (California).

Bounding_Coordinates:

West_Bounding_Coordinate: -126.886748

East_Bounding_Coordinate: -113.619336

North_Bounding_Coordinate: 43.462807

South_Bounding_Coordinate: 31.245474

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: vegetation

Theme_Keyword: rangeland productivity

Theme_Keyword: drought

Theme_Keyword: grazing allotments

Theme_Keyword: NEPA

Theme_Keyword: National Environmental Policy Act

Theme_Keyword: carrying capacity

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Categories

Theme_Keyword: biota

Theme_Keyword: environment

Theme:

Theme_Keyword_Thesaurus: National Research & Development Taxonomy

Theme_Keyword: Natural Resource Management & Use

Theme_Keyword: Range management & grazing

Theme_Keyword: Assessments

Theme_Keyword: Monitoring

Theme_Keyword: Ecosystem services

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Region 5

Place_Keyword: California

Access_Constraints: None

Use_Constraints:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Reeves, Matthew C. 2017. MODIS-based annual production estimates from 2000-2015 for rangelands in USFS grazing allotments in Region 5. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0004

*The appropriate use of these data is to evaluate annual production of rangeland vegetation across entire allotments or ranger districts or National Forests. Temporal trends in the data are more useful than absolute values of production.

Data_Set_Credit:

Credit should be given to Dr. Matt Reeves and Anton Jackson. Funding was provided by the USFS: Above & Beyond Ecosystems EU, Enterprise Team, R5 Range Management Leadership, and the Rocky Mountain Research Station.

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552

Analytical_Tool:

Analytical_Tool_Description:

Rangeland Vegetation Simulator (RVS). The RVS is a simulation program for rangelands funded by the Joint Fire Science Program (JFSP).

The RVS provides information on an annual time step and can be used to evaluate plot level data or be used in a spatially explicit mode. It takes advantage of remote sensing data as a primary input and, importantly, it is calibrated to quantify the vegetation response to wildfire and grazing. Presently, capacity exists for operating on 112 distinct biophysical sites and yields the following information for each year in a simulation:

1) Standing biomass and annual production of herbs and shrubs (including standing dead herbaceous material)
2) Vegetation structure, composition, and seral stage
3) Fuelbed properties (1, 10, 100, 1000 hr. time lag fuel) and fire behavior fuel models
4) Response of these attributes to herbivory and fire (mechanical treatments can be simulated in some cases)

The RVS is already being used in U.S. Forest Service Regions 2, 4, and 5 for evaluating carrying capacity, standing carbon, and to quantify pockets of resilience to drought and recovery after wildlfire. In addition, the RVS was recently used to produce nationally consistent and spatially explicit rangeland fuel estimates for new predictions of emissions resulting from wildfires. A caveat of implementing RVS is the linkage with Biophysical Settings (BPS), which describe succession in the context of pre-Euro American settlement. Thus, non-native invasive species must be dealt with using an alternate, more modern depiction of succession such as that inherently offered in the state-transition models contained in Ecological Site descriptions. As a result, the RVS is being integrated with other software (ST-SIM) which is capable of converting state-transition diagrams to digital models enabling simulation of great complexity and feedbacks inherent in Ecological Sites. Successional dynamics are thereby estimated with ST-SIM and linked with RVS to provide quantitative estimates and projections of the previously mentioned attributes. Using this technique, large landscapes can be evaluated, in a spatially explicit context, across any number of Ecological Sites in a transparent and consistent manner. This application has been prototyped on four Ecological Sites representing shortgrass prairie in Colorado, sagebrush steppe in Utah and Nevada (heavily invaded by cheatgrass), and sagebrush steppe in eastern Oregon (invaded by western juniper).

Tool_Access_Information:

Tool_Access_Instructions:

To access the RVS, potential users should contact Matt Reeves at: mreeves@fs.fed.us.

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

The accuracy of annual production (PRODyyyy and PRODAVG) data is unknown. In a comparison with 177 production values obtained from small quadrats from Leslie Roche the average of all points in the grazing allotments was 2934 +/- 768 pounds per acre. The modeled production over the same allotments was 2506 +/- 1479 pounds per acre. With respect to the drought data, readers (users) are encouraged to visit the USDA Drought Monitor home page for more information at //droughtmonitor.unl.edu/. The USDA Drought Monitor is a widely used metric across by insurance agencies. To understand more about the classification accuracy of the CalVeg mapping system, readers (users) are encouraged to visit https://www.fs.fed.us/r5/rsl/projects/classification/system.shtml to learn about project design and data accuracy.

Logical_Consistency_Report:

All combinations of allotments and CalVeg (SRM cover types) where non-zero values exist in any attribute have non-zero values in all attributes. This finding was derived by sampling looking at the records in the attribute table and testing for non-zero values. None were found. Any data outside of a grazing allotment are coded with the native “no data” found in ArcGIS.

Completeness_Report:

There are no missing values that are intended to have non-zero data. At each pixel that met the selection criteria, there are no missing values.

Lineage:

Process_Step:

Process_Description:

Production data were generated from the Rangeland Vegetation Simulator (RVS) in 2016. There are no publications yet describing the RVS but there is a report that was developed for the Joint Fire Sciences Program (the funder for the RVS) and it is available through the JFSP website (//www.firescience.gov/) and is included in this data publication (\Supplements\RVS Report.pdf). This program uses Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 – 2015 at 250 squared meter resolution to estimate production. The MODIS is a satellite available for monitoring earth processes (learn more at: https://modis.gsfc.nasa.gov/). The NDVI is a radiometric measure of vegetation abundance and involves a ratio of the red and near infrared spectral channels. NDVI is converted to production estimates using vegetation specific coefficients in the RVS. The RVS was applied to 752 allotments in R5. The allotment data were spatially combined with Calveg (a polygon based description of vegetation types for California and more information can be found at: https://www.fs.fed.us/r5/rsl/projects/classification/system.shtml) layer to produce 4035 unique combinations of vegetation attributes and allotments. The CalVeg data describes cover types of California. The vegetation classification used to do this combination was the Society for Range Management (SRM) cover type. There were 23 vegetation types considered to represent non-forested vegetation in the SRM classification found across the grazing allotments. The time period of analysis for this assessment across which production estimates were developed is 2000 – 2015. All pixels in the MODIS data stack used for evaluating production in R5 allotments were spatially subset where forest canopy cover was estimated at ≤ 25% (using the mask of Reeves and Mitchell [2011]). These were removed since these pixels would bias the production estimates of grasses and shrubs (non-forest vegetation) in a positive manner. In general here are the steps that were undertaken to derive these data.

These data were developed using the following steps:
1) Composite annual maximum MODIS NDVI data from 2000-2015 for entire lower 48 states.
2) Spatially subset to California rangelands where forest canopy cover is <= 25%.
3) Convert the annual maximum NDVI to production (pounds per acre) using the RVS.

4) Combine a gridded version of the CalVeg cover type data represented by SRM vegetation types and USFS allotments (resulting in 4035 combinations of SRM vegetation and allotments).

5) Overlay this "mask" on the stack of rangeland prodction estimates from MODIS (2000-2015).
6) Derive annual average production for each vegetation type * allotment combination for each year.
7) Also, overlay the mask on drought data represented as annual summations of the USDA drought monitor.

8) Derive annual average drought for each vegetation type * allotment combination for each year.

Reeves, Matthew C.; Mitchell, John E. 2011. Extent of coterminous US rangelands: Quantifying implications of differing agency perspectives. Rangeland Ecology and Management, 64(6):585-597. https://doi.org/10.2111/rem-d-11-00035.1

Process_Date: 2016

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 39391

Column_Count: 29864

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 Albers

Other_Projection's_Definition:

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.00000000375279807229845

Ordinate_Resolution: 0.00000000375279807229845

Planar_Distance_Units: meter

Geodetic_Model:

Horizontal_Datum_Name: D North American 1983

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: annprodn0015

Entity_Type_Definition:

Annual productivity and drought in the non-forest domain of Region 5 (California) of the United States Forest Service for 2000-2015

Entity_Type_Definition_Source:

Matt Reeves

Attribute:

Attribute_Label: Rowid

Attribute_Definition:

Internal feature number.

Attribute_Definition_Source:

ESRI

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0

Range_Domain_Maximum: 4034

Attribute_Units_of_Measure: unitless

Attribute:

Attribute_Label: VALUE

Attribute_Definition:

A unique identifier representing a unique combination of vegetation type in each grazing allotment. For example, the value 1 represents the combination of Valley Grasslands SRM cover type in the East Beaver grazing allotment.

Attribute_Definition_Source:

ArcGIS

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1

Range_Domain_Maximum: 4035

Attribute_Units_of_Measure: unitless

Attribute:

Attribute_Label: COUNT

Attribute_Definition:

The number of pixels representing each unique combination of SRM cover type and grzing allotment. Since each pixel is 30 square meters (m²), this represents 0.09 hectares (ha) per pixel.

Attribute_Definition_Source:

ArcGIS

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1

Range_Domain_Maximum: 195916

Attribute_Units_of_Measure: unitless

Attribute:

Attribute_Label: ALOT30UU

Attribute_Definition:

This is a numeric assignment for each grazing allotment in R5 of the USFS where rangeland vegetation has a significant abundance.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Unrepresentable_Domain:

The numbers in this dataset simply refer to unique grazing allotments and are meant to be a supplemental data element in addition to the names of each allotment. This is done to make some database (such as joins) easier if the dataset to be joined with this one has, as its primary key, a numeric data type.

Attribute:

Attribute_Label: SRMCALVEG3

Attribute_Definition:

This is a number corresponding to each SRM (Society for Range Management) cover type. The SRM cover types report can be found in Shiftlet 1994. These numbers also have a corresponding name found in the field called SRMCOVTYPE.

Shiflet, Thomas N. (ED.) 1994. Rangeland cover types of the United States. Denver, Colo.: Society for Range Management. 147 p. https://www.fws.gov/southwest/es/documents/R2ES/LitCited/LPC_2012/Berg_1994_in_Shiflet_ed.pdf.

Attribute_Definition_Source:

Society for Range Management

Attribute_Domain_Values:

Unrepresentable_Domain:

These numbers are simply a numeric code for each corresponding vegetation type found in the field called SRMCOVTYPE.

Attribute:

Attribute_Label: UNIT_NAME

Attribute_Definition:

This is the name of each grazing allotment in the R5 inventory.

Attribute_Definition_Source:

US Forest Service

Attribute_Domain_Values:

Unrepresentable_Domain:

These are names of grazing allotments so it does not make sense to define them.

Attribute:

Attribute_Label: SRMCOVTYPE

Attribute_Definition:

This is a name corresponding to each SRM (Society for Range Management) cover type. The SRM cover types report can be found in Shiflet 1994. These names also have a corresponding number found in the field called SRMCALVEG3.

Shiflet, Thomas N. (ED.) 1994. Rangeland cover types of the United States. Denver, Colo.: Society for Range Management. 147 p. https://www.fws.gov/southwest/es/documents/R2ES/LitCited/LPC_2012/Berg_1994_in_Shiflet_ed.pdf.

Attribute_Definition_Source:

SRM (Society for Range Management) and CalVeg cross-walking their vegetation types to SRM cover types.

Attribute_Domain_Values:

Unrepresentable_Domain:

These are vegetation cover type names

Attribute:

Attribute_Label: PROD2000

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2000 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 327

Range_Domain_Maximum: 8246

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2001

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2001 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 316

Range_Domain_Maximum: 10342

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2002

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2002 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 316

Range_Domain_Maximum: 10342

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2003

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2003 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 357

Range_Domain_Maximum: 10206

Attribute:

Attribute_Label: PROD2004

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2004 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 343

Range_Domain_Maximum: 8251

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2005

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2005 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 389

Range_Domain_Maximum: 8894

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2006

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2006 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 333

Range_Domain_Maximum: 7463

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2007

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2007 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 327

Range_Domain_Maximum: 10387

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2008

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2008 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 355

Range_Domain_Maximum: 9316

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2009

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2009 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 316

Range_Domain_Maximum: 8659

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2010

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2010 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 355

Range_Domain_Maximum: 9913

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2011

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2011 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 374

Range_Domain_Maximum: 10661

Attribute_Units_of_Measure: pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2012

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2012 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 313

Range_Domain_Maximum: 10784

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2013

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2013 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 312

Range_Domain_Maximum: 8583

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2014

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2014 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 379

Range_Domain_Maximum: 9790

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PROD2015

Attribute_Definition:

Annual production of each vegetation type found in each allotment corresponding to the year 2015 and the units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 333

Range_Domain_Maximum: 9198

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PRODAVG

Attribute_Definition:

This is the average production for each vegetation type (SRM cover type) by allotment combination 2000-2015. Units are pounds per acre.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 361

Range_Domain_Maximum: 7970

Attribute_Units_of_Measure: Pounds per acre

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PRODSLOPE

Attribute_Definition:

This is the value from 2000-2015 estimating the slope of linear regression of annual production with respect to time. Thus, a negative slope means production has been decreasing through time but we do not test this statistically. It was derived using the SLOPE function in Microsoft Excel.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -197

Range_Domain_Maximum: 186

Attribute_Units_of_Measure: Pounds per acre per year

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PRODCORR

Attribute_Definition:

This is the value from 2000-2015 estimating the correlation of annual production with respect to time. Thus, a negative correlation (r) means production has been decreasing through time but we do not test this statistically. It was derived using the CORR function in Microsoft Excel.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -0.926

Range_Domain_Maximum: 0.921

Attribute_Units_of_Measure: Units of correlation (r)

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: PRODCV

Attribute_Definition:

This represents the coefficient of variation (CV) (standard deviation with respect to the mean). It is measured in percent.

Attribute_Definition_Source:

Matt Reeves provided this definition

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 3.6

Range_Domain_Maximum: 74

Attribute_Units_of_Measure: Percent

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: DROUGHTAVG

Attribute_Definition:

This is the average of the USDA drought monitor values from 2000 to 2015. The drought monitor comes out weekly so for each year 52 data points at each pixel were summed. Thus this attribute is the mean of all annual summations. It gives an idea of cumulative rangeland drought in Region 5.

Attribute_Definition_Source:

USDA Drought Monitor

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 25

Range_Domain_Maximum: 72

Attribute_Units_of_Measure: USDA drought monitor summation

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: DROUGHTVAR

Attribute_Definition:

This is the variability of the USDA drought monitor values from 2000 to 2015. The drought monitor comes out weekly so for each year 52 data points at each pixel were summed. Thus this attribute is the standard deviation of all annual summations. It gives an idea of variability in the rangeland drought in Region 5.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 42

Range_Domain_Maximum: 73

Attribute_Units_of_Measure: Units if standard deviation of USDA drought monitor categories

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: DROUGHTCV

Attribute_Definition:

This is the coefficient of variability of the USDA drought monitor with respect to the mean of values from 2000 to 2015. The drought monitor comes out weekly so for each year 52 data points at each pixel were summed. This attribute is the standard deviation from 2000-2015 divided into the mean of all annual summations. It gives an idea of variability with respect to the mean in the rangeland drought in Region 5.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0.68

Range_Domain_Maximum: 1.81

Attribute_Units_of_Measure: Percent / 100

Attribute_Measurement_Resolution: 1

Attribute:

Attribute_Label: BIOCORRDRT

Attribute_Definition:

This is the slope of the correlation (r) of the average annual production (from 2000-2015) to the average (2000-2015) drought. This metric can identify areas that are underperforming potentially or are less resilient to drought. For example, if drought has been neglible but production has been dropping this could point to poor management (or bad drought data). Conversely, if drought has been severe but production has been steady to slightly declining that vegetation type in that allotment could be quite resilient. To retrieve the actual value of r, divide this value by 100.

Attribute_Definition_Source:

Matt Reeves

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -92

Range_Domain_Maximum: 80

Attribute_Units_of_Measure: r * 100

Attribute_Measurement_Resolution: 1

Overview_Description:

Entity_and_Attribute_Overview:

This data publication contains the following files:

\Data\annprodn0015
ESRI grid data file (and associated files) describing annual productivity and drought in the non-forest domain of Region 5 (California) of the United States Forest Service for 2000-2015. Data also include an annual summation of drought data from the USDA drought monitor for aiding interpretation of annual production data.

\Supplements\RVS Report.pdf
Adobe Acrobat PDF/a file containing the Rangeland Vegetation Simulator report that describes the model that was developed for the Joint Fire Sciences Program: "Development of the Rangeland Vegetation Simulator: A module of the Forest Vegetation Simulator".

Entity_and_Attribute_Detail_Citation:

None provided

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA Forest Service, Research and Development

Contact_Person: Research Data Archivist

Contact_Address:

Address_Type: mailing and physical

Address: 240 West Prospect Road

City: Fort Collins

State_or_Province: CO

Postal_Code: 80526

Country: USA

Contact_Voice_Telephone: see Contact Instructions

Contact Instructions: This contact information was current as of February 2017. For current information see Contact Us page on: https://doi.org/10.2737/RDS.

Resource_Description: RDS-2017-0004

Distribution_Liability:

Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: GRD

Format_Version_Number: see Format Specification

Format_Specification:

ESRI grid data

File_Decompression_Technique: Files zipped with Winzip 14.0

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://doi.org/10.2737/RDS-2017-0004

Fees: none

Metadata_Reference_Information:

Metadata_Date: 20170203

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Matt Reeves

Contact_Organization: USDA Forest Service, Rocky Mountain Research Station

Contact_Address:

Address_Type: mailing and physical

Address: 800 E. Beckwith

City: Missoula

State_or_Province: MT

Postal_Code: 59801

Country: USA

Contact_Voice_Telephone: 406-546-5875

Contact_Electronic_Mail_Address: mreeves@fs.fed.us

Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998