An LTER Educational Digital Library (LEDL) is an unprecedented, high-quality collection of educational learning resources centrally located on the LTER Education website. It includes instructional materials, educational data sets, multimedia, and visualizations serving middle, high school and undergraduate classrooms and educational professionals. Its underlying purpose is to support the teaching and learning of ecological science with an emphasis on making an LTER collection of resources accessible to a wider audience.
Goals: The goal of this project is to build on the previously funded work of Kyle Cavanaugh to complete the atmospheric corrections to the LTER Landsat catalog. Atmospheric corrections are required before any higher level data products (e.g. maps of land cover change, biomass, NDVI) can be created. The corrected scenes can then be used by LTER researchers to work on a consistent approach to further analysis of change detection, land cover classifications, and biomass calculations across LTER sites.
Goals and Background. Engagement of arts and humanities in LTER programs has grown substantially over the past few years, to the point where now more than half of the LTER sites have operating or planned programs. This emergence has been the source of much excitement within and outside of the LTER Network. Four sites have accumulated substantial bodies of artistic and written works, a sampling of which has been displayed at NSF headquarters, the 2012 Ecological Society of American meeting, the 2012 LTER All-Scientists Meeting, and other venues.
The Objectives of the effort is to:
(1) Assess our new generalized metacommunity model (Fig 1b), which is based on previous work (Sokol et al. 2011), and provides a mechanism to use the axes that define metacommunity state space (Fig 1a) to predict metacommunity diversity.
Summary: Intertidal coastal environments are prone to changes induced by sea level rise, increase in storminess, and anthropogenic disturbances. It is unclear how changes in external drivers may affect the dynamics of low energy coastal environments because there are multiple evidences that their response might be non-linear, with thresholds and discontinuities. Process based modeling of the ecogeomorphic processes underlying the dynamics of these ecosystems is useful not only to predict their changes through time, but also to generate new hypotheses and research questions.
Goals. We propose to synthesize data on saltmarsh
production from 3 LTER sites and 4 additional sites to generate a
comprehensive understanding of the factors driving variation in salt
marsh primary production, and how these factors vary geographically.
Goals and Objectives
We propose to generate a
cross-site database of existing Landsat TM satellite imagery covering
each of the 26 current sites in the LTER network from 1985-present. We
will then collaborate with researchers from a subset of sites to create
higher-level cross-site data products including atmospherically
corrected surface reflectance data and time-series maps of detailed land
cover/land use change.
Goals and Hypotheses