This three-year project created more than fifty jobs to work on the watershed-level prioritization of land management actions based on fuel conditions, wildlife and aquatic habitats, economic values, and projected climate change across all lands in Arizona, New Mexico, Oregon and Washington. The project explores the dynamics of broad-scale, multi-ownership landscapes over time by evaluating and integrating information about:
Products from the project will help land managers, planners, and policymakers evaluate management strategies that reduce fire risk, improve habitat, and benefit rural communities.
The project integrates data and tools, creating a decision support framework to help planners, managers and policymakers make the best use of available information. The project addresses these main questions:
The project is a collaborative effort among scientists, analysts, and writers from the U.S. Department of Agriculture Forest Service, Oregon State University College of Forestry, and the Oregon University System Institute for Natural Resources (INR). The project also brings together scientists, land managers, and planners from other state and federal forestry, wildlife, and natural resource agencies, conservation organizations, and universities.
The project creates a variety of analytical and graphical tools that generate tables, graphs, and maps that land managers and planners can use to integrate and prioritize management activities. The project's reports, publications, models, model output, maps, data, and tools will be archived and available online so that scientists and managers in years to come will be able to use and build on the project's products. The project will also create a web-enabled decision support system if time and resources permit.
Land managers, planners, analysts, scientists, policymakers, and large-area landowners can use the project’s tools and information for many applications of landscape analysis at the regional, state, and watershed levels. Some potential applications include:
This project evaluates current and future resource conditions across mixed ownerships. It will extend and complement more generalized landscape-level wildfire risk projects, such as LANDFIRE.
The data and tools developed for this project can support other types of landscape evaluations that extend beyond a focus on integrated fuel priorities. This collaborative project develops methods that may be used to address other important public issues over large landscapes, such as:
The Integrated Landscape Assessment Project Overview graphic at right shows the relationship between each of the project modules and organizations. (click to enlarge as a pdf)
The Science Delivery modules are about using existing knowledge and methodologies to inform watershed-level prioritization of fuel treatments in Arizona, New Mexico, Oregon and Washington. The Science Delivery modules include the Geographic Information System (Spatial Data) module, State-and_Transition Modeling (Vegetation Dynamics Development Tool (VDDT)) module and the Ecosystem Management Decision Support (EMDS) module. These modules build on and consolidate existing spatial data, models and decision support tools from the Interagency Mapping and Assessment Project (IMAP), USDA Forest Service Region 3 (R3) forest planning work, and LANDFIRE efforts.
Geographic Information System (Spatial Data) Lead – Joe Bernert, INR
State-and-Transition Modeling (VDDT) Lead – Emilie Henderson, INR
Decision Support (EMDS) Lead – Sean Gordon, Oregon State University - College of Forestry (OSU-COF)
The Knowledge Discovery modules are about developing new knowledge and methodologies to inform watershed-level prioritization of fuel treatments in Arizona, New Mexico, Oregon and Washington. The Knowledge Discovery modules include the Wildlife Habitats module, Fire and Fuels Characterization module, Fuel Treatment Economics module, Community Economics module, Climate Change modules (addressing changes in fire probabilities, water supply, and watershed conditions), and Optimized Decision Support System module. The Knowledge Discovery modules will integrate inputs and outputs from the Science Delivery modules to inform mid- to broad-scale landscape prioritizations of land management actions for use by planners, land managers, and policy-makers.
Wildlife Habitats Lead – Anita Morzillo, OSU-COF
Fire and Fuels Characterization Lead – Jessica Halofsky, Forest Service – Pacific NW Research Station (FS-PNW)
Fuel Treatment Economics Lead – Xiaoping Zhou, FS-PNW
Community Economics Lead – Claire Montgomery, OSU-COF
Climate Change Leads – Jessica Halofsky, FS-PNW, Rebecca Kennedy and Gordie Reeves, FS – Forest Research Lab (FRL), Dominique Bachelet and Dave Conklin (CBI)
Optimized Decision Support System Lead – Michael Wing, OSU-COF
The Western Landscapes Explorer digital library was developed to provide access to the data, tools and information produced by ILAP. Scoping, results and recommendations to develop this portal are presented in this Powerpoint Presentation (PDF). Web portal lead: Kuuipo Walsh, OSU-INR
|Acronym:||Stands for:||What it is:|
|Apache-Sitgreaves National Forest||Az/NM prototype study area for the Integrated Landscape Assessment Project wildlife habitat, fire and fuels, and treatment finances modules. Multi-ownership landscape in eastern Arizona.|
|ARRA||American Recovery and Reinvestment Act of 2009||ARRA is an economic stimulus package enacted by the 111th United States Congress in February 2009. The Integrated Landscape Assessment Project is one of many ARRA funded projects.|
|BPS||Biophysical Setting||Used by LANDFIRE to represent the vegetation that may have been dominant on the landscape prior to Euro-American settlement and is based on both the current biophysical environment and an approximation of the historical disturbance regime.|
|CVS||Current Vegetation Survey||CVS contains plot data analogous to FIA, but is conducted only on US Forest Service lands. These plots are somewhat older than FIA, as they were discontinued when that program filled the need for plot data describing forest conditions within the USFS.|
|COLA||Central Oregon Landscape Area||OR/WA prototype study area for the ARRA fuels project climate change modules. Multi-ownership landscape in central Oregon.|
|CWLA||Central Washington Landscape Area||OR/WA prototype study area for the Integrated Landscape Assessment Project wildlife habitat, community economics, fire and fuels, and treatment finances modules. Multi-ownership landscape in central Washington.|
|EMDS||Ecosystem Management Decision Support system||EMDS is an application framework for knowledge-based decision support of ecological assessments at any geographic scale. It is designed to help inform managment decisions.|
|FCCS||Fuel Characteristic Classification System||FCCS is a software application that allows users to record fuel characteristics as fuelbeds and analyze fire potential of wildland and managed fuels.|
|FIA||Forest Inventory and Analysis Program||FIA reports on status and trends in forest area and location; in the species, size, and health of trees; in total tree growth, mortality, and removals by harvest; in wood production and utilization rates by various products; and in forest land ownership. FIA plot data is used by GNN and FCCS.
|FRCC||Fuel Regime Condition Class||FRCC is an interagency, standardized tool for determining the degree of departure from reference condition vegetation, fuels and disturbance regimes. Assessing FRCC can help guide management objectives and set priorities for treatments.
|FRCS||Fuel Reduction Cost Simulator||FRCS spreadsheet application is public domain software used to estimate costs for fuel reduction treatments involving removal of trees of mixed sizes in the form of whole trees, logs, or chips from a forest.|
|FVS||Forest Vegetation Simulator||FVS is the USDA Forest Service's nationally supported framework for forest growth and yield modeling at the stand level.|
|GNN||Gradient Nearest Neighbor||GNN integrates plot and spatial (GIS) data, including satellite imagery, to map detailed attributes of forest composition and structure across large, multi-ownership regions. Current vegetation is derived from the GNN raster dataset.|
|HUC||Hydrologic Unit Code||National watershed delineation system used by the USGS based on surface hydrologic features. The Integrated Landscape Assessment Project utilizes hydrologic unit code 5 (HUC5). HUC5's generally represent watersheds between 50,000 and 150,000 acres.|
|IMAP||Interagency Mapping and Assessment Project||IMAP builds shared data, models, and analysis tools for broad to fine-scale landscape analysis and planning, and fosters interagency cooperation and collaboration on important landscape management issues.|
|IMAPUG||IMAP User Group||IMAPUG provides overall project oversight on the IMAP and the Integrated Landscape Assessment Project for Oregon and Washington.|
|LANDFIRE||Landscape Fire and Resource Management Planning Tools Project||LANDFIRE is a multi-partner project producing consistent and comprehensive maps and data describing vegetation, wildland fuel, and fire regimes across the United States.|
|MRLC||Multi-Resolution Land Characteristics Consortium||MRLC Consortium produces four different land-cover databases (LANDFIRE, GAP, C-CAP, NLCD). The mapping efforts are not duplicative: all three use the same basic methods and data, and mapping done in one project supports the other two. The primary source of data for all three mapping efforts is Landsat (TM).|
|MLRA||Major Land Resource Areas||MLRAs contain natural resource information for the U.S. MLRA boundaries are developed from state general soil maps. The MLRA map is designed to be used for national, regional and multi-state resource appraisal, planning and monitoring.|
|MTBS||Monitoring Trends in Burn Severity||MTBS is a multi-year project designed to consistently map the burn severity and perimeters of fires across all lands of the United States from 1984 - 2010.|
|PAG||Plant Association Groups||PAGs are vegetation types that are nested within the National Vegetation Classification System. Logically, they are aggregations of the NVC's plant associations, and represent plant associations that fall within similar environments, and may even represent different points along successional trajectories within a given type of vegetation. This classification system is a work in progress, and may vary somewhat from place to place. It is more precise than PNV, and can generally be crosswalked to PNV fairly cleanly.|
|PATH||Newly developed user-interface for VDDT models. With PATH, a user can run multiple VDDT models at one time.|
|Potential Natural Vegetation/Potential Vegetation Type/Potential Natural Vegetation Type||These terms are used somewhat interchangeablly to refer to a coarse classification of potential vegetation. Potential vegetation is basically a quasi-climax concept. A good definition might be that PNV = the vegetation that would result in a given environment (includes soils, climate, natural disturbance regime) in the absence of human intervention. These types are mapped spatially for our project, and each one is linked with an individual VDDT model.|
|PVT||Potential Vegetation Type||PVT's typically represent the climax vegetation for a location given natural succession. In the VDDT models, PVT's represent growth rates, disturbance regimes, and responses to management. PVT's are used to link specific locations (i.e. pixels) to a specific VDDT model.|
|STM||State and Transition Models||STMs simulate changes in vegetative composition and structure across landscapes under different disturbance regimes and management scenarios. STM's are composed of a series of boxes (states) and arrows (transitions). VDDT is the STM software used by the Integrated Landscape Assessment Project.|
|VDDT||Vegetation Dynamics Development Tool||VDDT is a state and transition modeling tool that simulates changes in vegetative composition and structure across a landscape under different disturbance regimes and management scenarios. VDDT models represent both various states (combo of tree diameters & density, canopy layers, and cover type) and transitions to move between states. Each VDDT model contains its own set of growth, natural disturbance and management transitions.|
The ILAP team, spread across four states, shares information through webinars. As new projects have been funded to extend the work of ILAP, webinars have been used to communicate the new methodologies and findings to project stakeholders.
Click here for short video introductions to each ILAP module, presented by the lead scientists.
Click on a title below to view the .wmv file in another window.
Miles Hemstrom (USFS PNW-Research Station) provides a conceptual overview of the project, and Janine Salwasser (INR Corvallis)explains project organization and coordination. 44 minutes
Myrica McCune (INR Corvallis) previews the Western Landscapes Explorer digital library which will provide public access to ILAP data, maps, and project information, as well as other landscape-level programs and collaborative initiatives. 29 minutes
Lisa Gaines and Janine Salwasser (INR Corvallis) provide an overview of the outreach, including the strategy, feedback received, materials used, and next steps. 42 minutes
Megan Creutzburg (INR Portland) and other team members provide an overview of the ILAP arid lands data, tools and draft output for Oregon and Washington. 175 minutes
Joe Bernert and Emilie Henderson (INR Portland) present an overview and update of the GIS and VDDT modules in the first webinar. 32 minutes. The second webinar features the draft outputs from both modules and includes Bruce Higgins (EMI) presenting on the data compilation work in the Southwest. 55 minutes.
Anita Morzillo (OSU College of Forestry) provides an overview of the Wildlife module. 33 minutes. The second webinar features a module update and draft outputs for watersheds within Oregon & Washington. 28 minutes. The third webinar features wildlife habitat outputs for Central Washington for two scenarios. 29 minutes.
Xiaoping Zhou (USFS PNW Research Station) provides an overview of the Fuel Treatment Economic Analysis module. 29 minutes. The second webinar features an update of her work and the draft outputs for the Central Washington Landscape Area. 32 minutes.
Jessica Halofsky and Stephanie Hart (University of Washington) provide an overview of the Fuel Characteristics module with a presentation on "Simulating Fire Hazard Across Landscapes Through Time: Integrating the Vegetation Dynamics Development Tool and Fuel Characteristic Classification System." 23 minutes. The second webinar features an update of their work and the draft outputs for the Central Washington Landscape Area. 33 minutes (FF first 2 min.) The third webinar features an assessment of forest fire hazard in Eastern Oregon and Washington. 33 minutes.
Claire Montgomery (OSU College of Forestry) presents an overview of the Community Economics module. 30 minutes. The second webinar features an update of their work and the draft outputs for Oregon and Washington. 40 minutes.
Dominique Batchelet (Conservation Biology Institute) presents an overview of this Climate Change module which addresses Northwest and Southwest climate change impacts on water supplies, vegetation, and other resource conditions over time. 58 minutes. The second webinar focuses on the MC1 outputs for Washington, Oregon, Arizona and New Mexico using an A2 emissions scenario for CSIRO, MIROC, and Hadley models. 43 minutes.
Gordie Reeves (USFS PNW Research Station) presents an overview of this second Climate Change module which addresses climate change impacts on Northwest watersheds using NetMap, a watershed catalogue and analysis tool. 36 minutes
Heather Greaves (OSU College of Forestry) presents an overview of this third Climate Change module which addresses climate change impacts on fire probabilities and vegetation in Central Oregon based on the spatial modeling of dry forest dynamics. 20 minutes
Sean Gordon (US Forest Service, Region 6) explains Ecosystem Management Decision Support System, and Michael Wing (OSU College of Forestry) explains Optimized Decision Support within the Decision Support modules. 54 minutes
Sean Gordon (OSU College of Forestry) provides an update with draft NW outputs using EMDS and ILAP outputs from other modules. 40 minutes
In the kick-off and close-out Climate, Management, and Habitat (CMH) Coastal Washington project webinars, Jessica Halofsky (INR) provides an overview to stakeholders of a project funded by the NW Climate Science Center (NWCSC) and the Washington Dept. of Natural Resources that uses climate-smart state and transition models to address climate change, local land management and future Northern Spotted Owl habitat. 110 minutes and 60 minutes
In the kick-off and close-out CMH Southeastern Oregon project webinars, Megan Creutzburg (INR Portland) provides an overview of a project also funded by NWCSC, that uses climate-smart state and transition models to address climate change, local land management and future Greater Sage Grouse habitat. 60 minutes and 76 minutes