{PAGE NAME} | {WEB AREA NAME}

EM Identity and Description

EM Identification (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Short Name em.detail.shortNameHelp ?	Rate of Fire Spread	Wild bees over 26 yrs of restored prairie, IL, USA	Recreational fishery index, USA	VELMA v. 2.0 disturbance	IPaC, USFWS, USA	CommunityViz, Albany county, Wyoming
EM Full Name em.detail.fullNameHelp ?	Rate of Fire Spread	Wild bee community change over a 26 year chronosequence of restored tallgrass prairie, IL, USA	Recreational fishery index for streams and rivers, USA	VELMA (Visualizing Ecosystems for Land Management Assessment) version 2.0 disturbance	Information for Planning and Conservation tool, USFWS, U.S.	Wyoming Community Viz TM Partnership Phase I Pilot: Aquifer Protection and Community Viz TM in Albany County, Wyoming.
EM Source or Collection em.detail.emSourceOrCollectionHelp ?	*	None	US EPA	US EPA	*	*
EM Source Document ID	306	401	414	366	451 ? Comment: Assume peer reviewed at least internally by USFWS	479 ? Comment: Published as a report by the University of Wyoming, but no record of peer review.
Document Author em.detail.documentAuthorHelp ?	Rothermel, Richard C.	Griffin, S. R, B. Bruninga-Socolar, M. A. Kerr, J. Gibbs and R. Winfree	Lomnicky. G.A., Hughes, R.M., Peck, D.V., and P.L. Ringold	McKane, R. B., A. Brookes, K. Djang, M. Stieglitz, A. G. Abdelnour, F. Pan, J. J. Halama, P. B. Pettus and D. L. Phillips	U.S. Fish and Wildlife Service	Lieske, S. N., Mullen, S., Knapp, M., & Hamerlinck, J. D.
Document Year em.detail.documentYearHelp ?	1972	2017	2021	2014	None	2003
Document Title em.detail.sourceIdHelp ?	A Mathematical model for predicting fire spread in wildland fuels	Wild bee community change over a 26-year chronosequence of restored tallgrass prairie	Correspondence between a recreational fishery index and ecological condition for U.S.A. streams and rivers.	VELMA Version 2.0 User Manual and Technical Documentation	Information for Planning and Consultation (IPaC	Wyoming Community Viz TM Partnership Phase I Pilot: Aquifer Protection and Community Viz TM in Albany County, Wyoming
Document Status em.detail.statusCategoryHelp ?	Documented, not peer reviewed	Peer reviewed and published	*	*	Other or unclear (explain in Comment)	Not peer reviewed but is published (explain in Comment)
Comments on Status em.detail.commentsOnStatusHelp ?	Published USDA Forest Service report	Published journal manuscript	*	Published report	Published report	Published report

Software and Access (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Software Access info Exit em.detail.modelAccessInformationHelp ?	http://firelab.org/project/farsite	Not applicable	*	https://www.epa.gov/water-research/visualizing-ecosystem-land-management-assessments-velma-model-20	https://ipac.ecosphere.fws.gov/	https://communityviz.com/
Contact Name em.detail.contactNameHelp ?	Charles McHugh	Sean R. Griffin	Gregg Lomnicky	Robert B. McKane	USFWS	Scott Lieske
Contact Address	RMRS Missoula Fire Sciences Laboratory, 5775 US Highway 10 West, Missoula, MT 59808	Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ 08901, U.S.A.	200 SW 35th St., Corvallis, OR, 97333	U.S. EPA, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Western Ecology Division, Corvallis, Oregon 97333	911 NE 11th Avenue Portland, OR 97232	Department of Agricultural & Applied Economics University of Wyoming, Laramie WY 82071
Contact Email	cmchugh@fs.fed.us	srgriffin108@gmail.com	lomnicky.gregg@epa.gov	mckane.bob@epa.gov	fwhq_ipac@fws.gov	lieske@uwyo.edu

EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Summary Description em.detail.summaryDescriptionHelp ?	ABSTRACT: "The development of a mathematical model for predicting rate of fire spread and intensity applicable to a wide range of wildland fuels is presented from the conceptual stage through evaluation and demonstration of results to hypothetical fuel models. The model was developed for and is now being used as a basis for appraising fire spread and intensity in the National Fire Danger Rating System. The initial work was done using fuel arrays composed of uniform size particles. Three fuel sizes were tested over a wide range of bulk densities. These were 0.026-inch-square cut excelsior, 114-inch sticks, and 112-inch sticks. The problem of mixed fuel sizes was then resolved by weighting the various particle sizes that compose actual fuel arrays by either surface area or loading, depending upon the feature of the fire being predicted. The model is complete in the sense that no prior knowledge of a fuel's burning characteristics is required. All that is necessary are inputs describing the physical and chemical makeup of the fuel and the environmental conditions in which it is expected to burn. Inputs include fuel loading, fuel depth, fuel particle surface-area-to-volume ratio, fuel particle heat content, fuel particle moisture and mineral content, and the moisture content at which extinction can be expected. Environmental inputs are mean wind velocity and slope of terrain. For heterogeneous mixtures, the fuel properties are entered for each particle size. The model as originally conceived was for dead fuels in a uniform stratum contiguous to the ground, such as litter or grass. It has been found to be useful, however, for fuels ranging from pine needle litter to heavy logging slash and for California brush fields." FARSITE4 will no longer be supported or available for download or further supported. FlamMap6 now includes FARSITE.	ABSTRACT: "Restoration efforts often focus on plants, but additionally require the establishment and long-term persistence of diverse groups of nontarget organisms, such as bees, for important ecosystem functions and meeting restoration goals. We investigated long-term patterns in the response of bees to habitat restoration by sampling bee communities along a 26-year chronosequence of restored tallgrass prairie in north-central Illinois, U.S.A. Specifically, we examined how bee communities changed over time since restoration in terms of (1) abundance and richness, (2) community composition, and (3) the two components of beta diversity, one-to-one species replacement, and changes in species richness. Bee abundance and raw richness increased with restoration age from the low level of the pre-restoration (agricultural) sites to the target level of the remnant prairie within the first 2–3 years after restoration, and these high levels were maintained throughout the entire restoration chronosequence. Bee community composition of the youngest restored sites differed from that of prairie remnants, but 5–7 years post-restoration the community composition of restored prairie converged with that of remnants. Landscape context, particularly nearby wooded land, was found to affect abundance, rarefied richness, and community composition. Partitioning overall beta diversity between sites into species replacement and richness effects revealed that the main driver of community change over time was the gradual accumulation of species, rather than one-to-one species replacement. At the spatial and temporal scales we studied, we conclude that prairie restoration efforts targeting plants also successfully restore bee communities."	ABSTRACT: [Sport fishing is an important recreational and economic activity, especially in Australia, Europe and North America, and the condition of sport fish populations is a key ecological indicator of water body condition for millions of anglers and the public. Despite its importance as an ecological indicator representing the status of sport fish populations, an index for measuring this ecosystem service has not been quantified by analyzing actual fish taxa, size and abundance data across the U.S.A. Therefore, we used game fish data collected from 1,561 stream and river sites located throughout the conterminous U.S.A. combined with specific fish species and size dollar weights to calculate site-specific recreational fishery index (RFI) scores. We then regressed those scores against 38 potential site-specific environmental predictor variables, as well as site-specific fish assemblage condition (multimetric index; MMI) scores based on entire fish assemblages, to determine the factors most associated with the RFI scores. We found weak correlations between RFI and MMI scores and weak to moderate correlations with environmental variables, which varied in importance with each of 9 ecoregions. We conclude that the RFI is a useful indicator of a stream ecosystem service, which should be of greater interest to the U.S.A. public and traditional fishery management agencies than are MMIs, which tend to be more useful for ecologists, environmentalists and environmental quality agencies.]	VELMA – Visualizing Ecosystems for Land Management Assessments - is a spatially distributed, eco-hydrological model that links a land surface hydrology model with a terrestrial biogeochemistry model for simulating the integrated responses of vegetation, soil, and water resources to interacting stressors. For example, VELMA can simulate how changes in climate and land use interact to affect soil water storage, surface and subsurface runoff, vertical drainage, evapotranspiration, vegetation and soil carbon and nitrogen dynamics, and transport of nitrate, ammonium, and dissolved organic carbon and nitrogen to water bodies. VELMA differs from other existing eco-hydrology models in its simplicity, flexibility, and theoretical foundation. The model has a user-friendly Graphics User Interface (GUI) for easy input of model parameter values. In addition, advanced visualization of simulation results can enhance understanding of results and underlying concepts. VELMA’s visualization and interactivity features are packaged in an open-source, open-platform programming environment (Java / Eclipse). The development team for VELMA version 2.0 includes Dr. Bob McKane and coworkers at the U.S. Environmental Protection Agency’s Western Ecology Division, Dr. Marc Stieglitz and coworkers at the Georgia Institute of Technology, and Dr. Feifei Pan at the University of North Texas. AUTHOR'S DESCRIPTION: "Understanding how disturbances such as harvest, fire and fertilization affect ecosystem services has been a major motivation in the development of VELMA. For example, how do disturbances such as forest harvest or the application of agronomic fertilizers affect hydrological and biogeochemical processes controlling water quality and quantity, carbon sequestration, production of greenhouse gases, etc.? Abdelnour et al. (2011, 2013) have already demonstrated the use of VELMA v1.0 to simulate the effects of forest clearcutting on ecohydrological processes that regulate a variety of ecosystem services. With the addition of a tissue-specific plant biomass (LSR) simulator and an enhanced GUI, VELMA v2.0 significantly expands the detail, flexibility, and ease of use for simulating disturbance effects. Currently available disturbance models include: - BurnDisturbanceModel, effects of fire. - GrazeDisturbanceModel, effects of grazing. - FertilizeLsrDisturbanceModel, effects of fertilizer applications. - HarvestLsrDisturbanceModel, effects of biomass harvest. Each of these disturbance models specifies where and when a disturbance event will occur. The Burn, Graze and Harvest models have options for specifying how much of each plant tissue and detritus pool (leaves, stems, roots) will be removed and where it goes (offsite and/or to a specified onsite C and N pools). The Fertilize model has options for applying nitrogen as ammonium, nitrate, urea and/or manure."	IPaC is a project planning tool that streamlines the USFWS environmental review process. Explores species and habitat: See if any listed species, critical habitat, migratory birds or other natural resources may be impacted by your project. Using the map tool, explore other resources in your location, such as wetlands, wildlife refuges, GAP land cover, and other important biological resources. Conduct a regulatory review: Log in and define a project to get an official species list and evaluate potential impacts on resources managed by the U.S. Fish and Wildlife Service. Follow IPaC's Endangered Species Act (ESA) Review process—a streamlined, step-by-step consultation process available in select areas for certain project types, agencies, and species. Build a Consultation Package: Consultation Package Builder (CPB) replaces and improves on the original Impact Analysis by providing an interactive, step-by-step process to help you prepare a full consultation package leveraging U.S. Fish and Wildlife Service data and recommendations, including conservation measures designed to help you avoid or minimize effects to listed species.	The Wyoming Community VizTM Partnership was established in 2001 to promote the use of geographic information system-based planning support systems and related decision support technologies in community land-use planning and economic development activities in the State of Wyoming. Partnership members include several state agencies, local governments and several nongovernment organizations. Partnership coordination is provided by the Wyoming Rural Development Council. Research and technical support is coordinated by the Wyoming Geographic Information Science Center’s Spatial Decision Support System Research Program at the University of Wyoming. In June 2002, the Partnership initiated a three-phase plan to promote Community VizTM based planning support systems in Wyoming. Phase I of the Partnership plan was a “proof of concept” pilot project set in Albany County in southeastern Wyoming. The goal of the project was to demonstrate the application of Community VizTM to a Wyoming-specific issue (in this case, aquifer protection) and to determine potential challenges for broader adoption in terms of data requirements, computing infrastructure and technological expertise. The results of the Phase I pilot project are detailed in this report. Efforts are currently underway to secure funding for Phase II of the plan, which expands the use of Community VizTM into four additional Wyoming communities. Specific Phase II objectives are to expand the type and number of issues addressed by Community VizTM and increase the use of Community VizTM in the planning process. As a part of Phase II the Partnership will create a technical assistance network aimed at assisting communities with the technical challenges in applying the software to their planning issues. The third phase will expand the program to more communities in the state, maintain the technical assistance network, and monitor the impact of Community VizTM on the planning process.
Specific Policy or Decision Context Cited em.detail.policyDecisionContextHelp ?	*	None identified	*	*	Determination of Effects on ESA listed taxa.	None provided
Biophysical Context	Not applicable	The Nachusa Grasslands consists of over 1,900 ha of restored prairie plantings, prairie remnants, and other habitats such as wetlands and oak savanna. The area is generally mesic with an average annual precipitation of 975 mm, and most precipitation occurs during the growing season.	None	No additional description provided	N/A	Groundwater recharge area, City of Laramie
EM Scenario Drivers em.detail.scenarioDriverHelp ?	*	No scenarios presented	N/A	*	N/A	Continuation of trends

EM Relationship to Other EMs or Applications

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Method Only, Application of Method or Model Run em.detail.methodOrAppHelp ?	Method Only	Method + Application (multiple runs exist)	Method + Application	Method Only	Method Only	Model Run Associated with a Specific EM Application
New or Pre-existing EM? em.detail.newOrExistHelp ?	New or revised model	New or revised model	New or revised model	New or revised model	New or revised model	Continuation of trends

Related EMs (for example, other versions or derivations of this EM) described in ESML

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Document ID for related EM em.detail.relatedEmDocumentIdHelp ?	None	None	None	Doc-13 \| Doc-317 \| Doc-366 \| Doc-359	None	Doc-473
EM ID for related EM em.detail.relatedEmEmIdHelp ?	None	None	None	EM-883 \| EM-884 \| EM-375 \| EM-379 \| EM-380 \| EM-605 \| EM-892	None	None

EM Modeling Approach

EM Relationship to Time (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Temporal Extent em.detail.tempExtentHelp ?	Not applicable	1988-2014	2013-2014	Not applicable	Not applicable	2050
EM Time Dependence em.detail.timeDependencyHelp ?	Not applicable	time-stationary	time-dependent	time-dependent	*	*
EM Time Reference (Future/Past) em.detail.futurePastHelp ?	*	Not applicable	past time	*	*	*
EM Time Continuity em.detail.continueDiscreteHelp ?	*	Not applicable	discrete	discrete	*	*
EM Temporal Grain Size Value em.detail.tempGrainSizeHelp ?	*	Not applicable	1	1	*	*
EM Temporal Grain Size Unit em.detail.tempGrainSizeUnitHelp ?	*	Not applicable	Year	Day	*	*

EM spatial extent (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Bounding Type em.detail.boundingTypeHelp ?	Not applicable	Physiographic or ecological	Geopolitical	Not applicable	Not applicable	Watershed/Catchment/HUC
Spatial Extent Name em.detail.extentNameHelp ?	Not applicable	Nachusa Grasslands	United States	Not applicable	Not applicable	Laramie City's aquifer protection area
Spatial Extent Area (Magnitude) em.detail.extentAreaHelp ?	Not applicable	10-100 km^2	>1,000,000 km^2	Not applicable	Not applicable	*

Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Spatial Distribution em.detail.distributeLumpHelp ?	Not applicable	spatially distributed (in at least some cases)	*	*	spatially lumped (in all cases)	spatially lumped (in all cases)
Spatial Grain Type em.detail.spGrainTypeHelp ?	Not applicable	other (specify), for irregular (e.g., stream reach, lake basin)	length, for linear feature (e.g., stream mile)	area, for pixel or radial feature	Not applicable	Not applicable
Spatial Grain Size em.detail.spGrainSizeHelp ?	Not applicable	Area varies by site	stream reach (site)	user defined	Not applicable	Not applicable

EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Computational Approach em.detail.emComputationalApproachHelp ?	*	Analytic	*	Numeric	Other or unclear (comment)	Numeric
EM Determinism em.detail.deterStochHelp ?	*	deterministic	*	*	Not applicable	*
Statistical Estimation of EM em.detail.statisticalEstimationHelp ?	None	Conventional (frequentist) statistics	*	*	None	*

Model Checking Procedures Used (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Model Calibration Reported? em.detail.calibrationHelp ?	Not applicable	No	*	Not applicable	Not applicable	Unclear
Model Goodness of Fit Reported? em.detail.goodnessFitHelp ?	Not applicable	No	*	Not applicable	Not applicable	*
Goodness of Fit (metric\| value \| unit) em.detail.goodnessFitValuesHelp ?	*	None	*	*	*	*
Model Operational Validation Reported? em.detail.validationHelp ?	*	No	*	Not applicable	Not applicable	Unclear
Model Uncertainty Analysis Reported? em.detail.uncertaintyAnalysisHelp ?	Not applicable	No	*	Not applicable	Not applicable	Unclear
Model Sensitivity Analysis Reported? em.detail.sensAnalysisHelp ?	Not applicable	No	*	Not applicable	Not applicable	Unclear
Model Sensitivity Analysis Include Interactions? em.detail.interactionConsiderHelp ?	*	Not applicable	*	*	*	*

EM Locations, Environments, Ecology

Location of EM Application (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
*	North America United States Illinois	North America United States North Carolina Indiana Wyoming Northern Mariana Islands Utah Guam Arizona Montana Kentucky California Kansas Delaware Florida Pennsylvania Iowa Mississippi Illinois Texas Connecticut Georgia Maryland Idaho Oregon Vermont Puerto Rico Maine Oklahoma Tennessee American Samoa Alabama Arkansas South Carolina Washington Nebraska West Virginia Colorado Massachusetts Missouri Alaska U.S. Virgin Islands Washington D.C. North Dakota Wisconsin Nevada New York Rhode Island Hawaii South Dakota Minnesota New Jersey Michigan Virgina New Mexico New Hampshire Louisiana Ohio	*	*	North America United States Wyoming

Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
*	None	*	*	*	*

Centroid Lat/Long (Decimal Degree)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Centroid Latitude em.detail.ddLatHelp ?	-9999	41.89	36.21	Not applicable	Not applicable	41.31
Centroid Longitude em.detail.ddLongHelp ?	-9999	-89.34	-113.76	Not applicable	Not applicable	-105.46
Centroid Datum em.detail.datumHelp ?	Not applicable	WGS84	*	Not applicable	Not applicable	*
Centroid Coordinates Status em.detail.coordinateStatusHelp ?	Not applicable	Provided	Estimated	Not applicable	Not applicable	Estimated

Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Environmental Sub-Class em.detail.emEnvironmentalSubclassHelp ?	Terrestrial Environment (sub-classes not fully specified)	Agroecosystems \| Grasslands	Rivers and Streams	Terrestrial Environment (sub-classes not fully specified)	Aquatic Environment (sub-classes not fully specified) \| Rivers and Streams \| Inland Wetlands \| Lakes and Ponds \| Near Coastal Marine and Estuarine \| Open Ocean and Seas \| Ground Water \| Terrestrial Environment (sub-classes not fully specified) \| Forests \| Agroecosystems \| Created Greenspace \| Grasslands \| Scrubland/Shrubland \| Barren \| Tundra \| Ice and Snow \| Atmosphere	Ground Water \| Terrestrial Environment (sub-classes not fully specified)
Specific Environment Type em.detail.specificEnvTypeHelp ?	Not applicable	Restored prairie, prairie remnants, and cropland	reach	Terrestrial environment sub-classes	None	watershed
EM Ecological Scale em.detail.ecoScaleHelp ?	Ecological scale is finer than that of the Environmental Sub-class	Ecological scale corresponds to the Environmental Sub-class	Ecological scale is finer than that of the Environmental Sub-class	Ecological scale is finer than that of the Environmental Sub-class	Not applicable	*

Organisms modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

Scale of differentiation of organisms modeled

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
EM Organismal Scale em.detail.orgScaleHelp ?	Not applicable	Species	Guild or Assemblage	Not applicable	Other (Comment) ? Comment: ESA designations include species and Ecological Significan Units of species	Not applicable

Taxonomic level and name of organisms or groups identified

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
*	other Bees	*	*	*	*

EnviroAtlas URL

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Average Annual Precipitation	GAP Ecological Systems	None Available	Carbon storage by tree biomass (kg/m2), Ecosystem Markets: Imperiled Species and Habitats	GAP Ecological Systems, Percent GAP Status 1 & 2	Dasymetric Allocation of Population, Total Annual Reduced Nitrogen Deposition, Employment Rate

EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system

* Note that run information is shown only where run data differ from the "parent" entry shown at left

CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
*	[Ecosystem] Regulation & Maintenance Maintenance of physical, chemical, biological conditions Lifecycle maintenance, habitat and gene pool protection Maintaining nursery populations and habitats Pollination and seed dispersal	[Ecosystem] Provisioning Nutrition Biomass Wild animals and their outputs [Ecosystem] Cultural Physical and intellectual interactions with biota, ecosystems, and land-/seascapes [environmental settings] Physical and experiential interactions Experiential use of plants, animals and land-/seascapes in different environmental settings	[Ecosystem] Provisioning Materials Biomass Fibres and other materials from plants, algae and animals for direct use or processing	[Ecosystem] Regulation & Maintenance Maintenance of physical, chemical, biological conditions Lifecycle maintenance, habitat and gene pool protection Maintaining nursery populations and habitats	[Non-ecosystem] Regulation & Maintenance by natural physical structures and processes Mediation of waste, toxics and other nuisances By natural chemical and physical processes Not applicable [Ecosystem] Provisioning Materials Water Ground water for non-drinking purposes [Ecosystem] Cultural Physical and intellectual interactions with biota, ecosystems, and land-/seascapes [environmental settings] Physical and experiential interactions Physical use of land-/seascapes in different environmental settings Intellectual and representative interactions Aesthetic

National Ecosystem Services Classification System (NESCS) Plus

(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)

New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
*	None	Rivers and Streams (111) Fauna (4) Fish Quality Indicator	*	Rivers and Streams (111) Fauna (4) Fish Stock Indicator	Groundwater Water (3) Liquid water Flow Indicator

EM Variable Names (and Units)

* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.

To view run information for variables, select any variable below or view run data for all variables.

Predictor

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Driving Variables (and Units) em.detail.drivingVariableHelp ?	Depth of fuel (ft) Low heat content of fuel size class within fuel category (Btu/lb) Mean loading of fuel size class within fuel category (lb/ft^2) Mean particle density of fuel size class within fuel category (lb/ft^3) Mean surface-area-to-volume ratio of fuel size class within fuel category (ft^2/ft^3) Mean windspeed at midflame height (ft/min) Mineral content of fuel size class within fuel category (lb minerals/lb wood) Moisture content of fuel size class within fuel category (lb moisture/lb wood) Slope (%)	Agriculture within 500 m (%) Size of site (ha) Woodland within 500 m (%)	Ecoregion (optional) (Not applicable) Fish size classes (Not applicable) Game fish taxa (Not applicable) Game fish taxa abundance (site) (No. ind./taxa/site) Strahler stream order (optional) (Not applicable)	Land cover (Not applicable) Land cover age threshold (years)	Area of interest (AOI) species specific questions (Not applicable) Geographic range maps of all species of concern (listed or otherwise) (m^2) Marine mammals (Not applicable) Migratory birds of conservation concern (Not applicable) Programatic determination keys (Not applicable) Project location (point or polygon) (Not applicable) Qualification questions for federal involvement (Y/N) (Not applicable) USFWS managed refuges and fish hatcheries (Not applicable) Wetlands & aquatic areas of concern (Not applicable)	Albany county study area boundary (Not reported) City annual budget data ($) Common land use list (Not reported) Distances from residential parcels to recreational trail access (miles) Existing development (Not reported) Existing land use or zoning data (Not reported) Guidelines for future land use/zoning (Not reported) Number of vehicle trips taken (trips) Population projections (Not reported) Property, sales, and lodging tax data ($) Proportion of land development to open space seen from observation points (NA) Roads/infrastructure (Not reported) Species distribution GIS data (Not reported) Topography (Not reported) Vehicle miles traveled (miles) Water consumption data (millions of gallons) Water quality data (nitrate levels) (ppm)
Constant or Factor Variables (and Units) em.detail.constantFactorVariableHelp ?	Mineral damping coefficient of fuel category (unitless) Moisture damping coefficient of fuel category (unitless) Ratio of surface area of fuel category to total surface area per unit fuel cell (unitless) Ratio of surface area of fuel size class to total surface area of fuel category (unitless)	Age of site restoration (years) Management (Not applicable)	Dollar cost ($/fish/size class)	Aboveground stem biomass (g C m^-2) Belowground stem biomass (g C m^-2) Disturbance type (for example, harvest, fire, grazing) (Not applicable) Fraction of aboveground stem biomass converted (%) Fraction of belowground stem biomass converted (%) Fraction of converted aboveground stem biomass removed off site (%) Fraction of converted belowground stem biomass removed off site (%) Fraction of converted leaf biomass removed off site (%) Fraction of converted root biomass removed off site (%) Fraction of leaf biomass converted (%) Fraction of root biomass converted (%) Leaf biomass (g C m^-2) Root biomass (g C m^-2)	None	*

Intermediate

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Intermediate (Computed) Variables (and Units) em.detail.intermediateVariableHelp ?	Characteristic surface-area-to-volume ratio of fuel category (ft^2/ft^3) Characteristic surface-area-to-volume ratio of fuel complex (ft^2/ft^3) Heat of preignition for fuel size class within fuel category (Btu/lb) Low heat content of fuel category (Btu/lb) Mean bulk density of fuel complex (lb/ft^3) Mean packing ratio of fuel complex (unitless) Net loading of fuel category (lb/ft^2) No-wind propagating flux ratio (unitless) Potential reaction velocity of fuel complex (min^-1) Slope coefficient (unitless) Wind coefficient (unitless)	None	Game fish taxa abundance (site) per size class (No. ind./site/size class) Site recreational fishery index value per fish taxa ($/fish taxa)	Aboveground stem biomass converted (g C m^-2) Belowground stem biomass converted (g C m^-2) Leaf biomass converted (g C m^-2) Root biomass converted (g m^-2)	Critical habitat (proposed and designated for species of concern) (Not applicable) Official species list (candidate, proposed and T&E species) potentially within area of interest (AOI) (Not applicable)	*

Response

EM ID em.detail.idHelp ?	New or revised model	EM-788	New or revised model	New or revised model	New or revised model	Continuation of trends
Observed Response Variables (and Units) em.detail.observedResponseHelp ?	None	Bee abundance (No.) Bee species richness (No.)	None	None	None	*
Computed Response Variables (and Units) em.detail.computedResponseHelp ?	Rate of spread (ft/min) Reaction intensity (Btu/ft^2 min)	Bee species rarified richness (No.) Richness effects (of changes in bee community composition over time) (unitless) Species replacement (of changes in bee community composition over time) (unitless) Total Jaccard dissimilarity (of changes in bee community composition over time) (unitless)	Recreational fishery index score (US) (unitless)	Aboveground stem detritus (g C m^-2) Belowground stem detritus (layers 1,2,3,4) (g C m^-2) Converted aboveground stem biomass removed off site (g C m^-2) Converted belowground stem biomass removed off site (g C m^-2) Converted leaf biomass removed off site (g C m^-2) Converted root biomass removed off site (g C m^-2) Leaf detritus (g C m^-2) Root detritus (layers 1,2,3,4) (g C m^-2)	Determination of effect (Not applicable) Project qualification of a pre-exsting programmatic Sec. 7 consultaton or internal FWS analysis (Not applicable)	Cost of community services (millions of dollars) Local tax revenues (millions of dollars) Quantity of water (millions of gallons) Recreation access (Miles to trail) Riparian area impacted (Acres) Traffic impacts (Vehicle miles traveled) Visual impact (Not reported) Water quality (nitrate levels) (ppm) Wildlife habitat (acres)

US EPA

EcoService Models Library (ESML)

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: Wild bee community change over a 26 year chronosequence of restored tallgrass prairie, IL, USA (EM-788)

EM Identity and Description

Comment:

Comment:

Related EMs (for example, other versions or derivations of this EM) described in ESML

EM Modeling Approach

EM Locations, Environments, Ecology

Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])

Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)

Centroid Lat/Long (Decimal Degree)

Scale of differentiation of organisms modeled

Comment:

Taxonomic level and name of organisms or groups identified

EnviroAtlas URL

EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system

* Note that run information is shown only where run data differ from the "parent" entry shown at left

CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)

National Ecosystem Services Classification System (NESCS) Plus

(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)

EM Variable Names (and Units)

* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.

Predictor

Intermediate

Response