Landscape Change Analysis & Modeling
One of the key goals for the Geography Discipline is to understand past, present, and future environmental consequences of land change to support better management of their effect on people, environment, economy, and resources. In direct support of this goal, RMGSC scientists are studying human processes that drive land use change, developing monitoring systems that track change in these landscapes, and performing analyses of the effects of transportation systems on regional processes. These studies are innovative, relevant to the areas in which they occur, and also support larger national and global initiatives.
Global Integrated Trends Analysis Network (GITAN)
The Global Integrated Trends Analysis Network (GITAN) is a USGS- and NBII-led network of organizations interested in collaborations that advance our understanding of the types, rates, causes, and consequences of landscape change. GITAN's primary purpose is to provide global-scale monitoring of key land variables, and an ecoregional-based framework of data for global trends analysis, planning, and management. RMGSC is a key player in support of the GITAN initiatives, and is currently the leader in the research and development of two key activities:
National Ecosystems Mapping of the Continuous United States
Ecosystem management is a strategy for the integrated management of land, water, and living resources that promotes conservation and sustainable use in an equitable way. And ecosystems themselves are recognized as fundamental components of biodiversity that need to be conserved and, in some cases, restored. However, the U.S. lacks a standardized ecosystem footprint map at an appropriate scale for local, on-the-ground management of ecosystems. In an effort to address this need, the RMGSC has embarked on the classification and delineation of ecosystem footprints for the conterminous 48 states at a scale that is appropriate for ecosystems management.
The components used to define and map these footprints are landforms, surfacial geology, bioclimate, and land cover. RMGSC scientists have researched various methodologies for generating these core components and then compiled each as national data layers as a key prerequisite to producing the national footprints at a detailed spatial resolution. All of these core layers will be made available to scientists and resource land managers responsible for developing science-based conservation plans. This effort will also contribute to one of the major tasks of the intergovernmental GEOSS (Global Earth Observation System of Systems) process - the development of a robust, standardized global ecosystems classification and map.
Global Data Toolset
The RMGSC is currently implementing a web-enabled landscape data and analysis toolkit called the Global Data Toolset (GDT). The core objective of GDT is to support the full range of landscape change analysis from regional studies to global applications, as well as provide a common toolset for the GITAN. In order to meet these goals, GDT is designed around several sophisticated components including data access and manipulation, and advanced analysis and modeling. The data access and manipulation component includes the tools required to load and manage a rich regional to global spatial database and advanced tools for web-based editing and delivery of data. GDT currently supports web-based editing of several specific layers: Birdlife International Important Bird Areas (IBA), and Protected Areas (PA) from the World Conservation Monitoring Center and other sources. GDT's advanced analysis and modeling component builds on its access to geospatial databases, and combines both analytical tools and decision support into a single web-accessible system. This combination of quick and easy access to a common set of data and sophisticated tools will significantly improve scientists' ability to both answer and address key questions about global, national, and regional land cover usage and its potential impacts.
The Road Indicator Project
TRIP develops indicators that describe how the transportation network subdivides the Nation's landscape, and how this subdivision and traffic on the network influence natural resources. Examples of TRIP products are a model of remoteness (estimated access time) of a back-country-landscape, a national dataset of distance to the nearest road, and a video portraying deflation of open space along Colorado's Front Range.
Featured in the May '07 copy of
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The above illustration shows a 3 km average distances to the nearest road in the conterminous 48 states.