NEON

The National Ecological Observatory Network (NEON)

NEON: Enabling Ecological Forecasting

Poster Number: 
237
Presenter/Primary Author: 
Dave Schimel

The National Ecological Observatory Network (NEON) will be an NSF-sponsored research facility for the study of long-term, large-scale ecological change. NEON’s science mission is to enable understanding and forecasting of the impacts of climate change, land use change and invasive species on continental-scale ecology by providing infrastructure and information to support research in these areas.

A Strategy for NEON Data Products

Poster Number: 
236
Presenter/Primary Author: 
Michael Keller

 The National Ecological Observatory Network (NEON) focuses on grand challenge questions in environmental science relevant to large regions that cannot be addressed with traditional ecological approaches. NEON will provide both physical and data infrastructures in order to provide usable information to scientists, teachers, students, citizens, governmental and non-governmental decision makers.

The NEON Fundamental Instrument Unit: Challenges for Consistent, Long-term Measurements

Poster Number: 
235
Presenter/Primary Author: 
Henry Loescher

The National Ecological Observatory Network (NEON) is a national-scale research platform for assessing the impacts of climate change, land-use change, and invasive species on ecosystem structure and function.

The NEON strategy for education: Integration and innovation

Poster Number: 
234
Presenter/Primary Author: 
Wendy Gram

The National Ecological Observatory Network (NEON) education mission is to enable society and the scientific community to use ecological information and forecasts to understand and effectively address critical ecological questions and issues.

The STREON Experiment – Experiments as accelerators of change in NEON

Poster Number: 
233
Presenter/Primary Author: 
Heather Powell

The National Ecological Observatory Network (NEON) is a national-scale research platform for assessing the impacts of climate change, land-use change, and invasive species on ecosystem structure and function. NEON partitions the United States into 20 ecoclimate domains. Each domain hosts fully instrumented aquatic sites in permanent (wildland area) and relocatable sites (36 sites in current definition). Relocatable sites aims to capture ecologically significant contrasts within and between domains.

NEON Airborne Remote Sensing of Vegetation Canopy, Biochemistry and Structure

Poster Number: 
232
Presenter/Primary Author: 
Brian Johnson

The National Ecological Observatory Network (NEON), being funded by the National Science Foundation, is a continental-scale research platform for discovering, understanding and forecasting the impacts of climate change, land-use change, and invasive species on ecology. Local site-based flux tower and field measurements will be coordinated with high resolution, regional airborne remote sensing observations. The Land Use Analysis Package (LUAP) provides a linkage to scaling to continental scale by providing access to satellite data sets.

NEON Fundamental Sentinel Unit: Organismal measurements in a national network

Poster Number: 
231
Presenter/Primary Author: 
Rebecca Kao

 The National Ecological Observatory Network (NEON) is a national-scale research platform for analyzing and understanding the impacts of climate change, land-use change, and invasive species on ecology. NEON features sensor networks and experiments, linked by advanced cyberinfrastructure to record and archive ecological data for at least 30 years. Using standardized protocols and an open data policy, NEON will gather essential data for developing the scientific understanding and theory required to manage ecological challenges.

Enabling Continental Scale Ecology with the NEON Land Use Analysis Package

Poster Number: 
230
Presenter/Primary Author: 
Steve Aulenbach

 Land use, invasive species, and climate change are all the results of human modifications of our planet. Humans directly and indirectly force ecosystem changes and we also respond to ecosystem modifications. The human effects on ecosystems can be seen primarily through modifications in land cover and land use. While remote sensing systems can monitor land cover, most human land use (e.g. fertilizer use, grazing intensity, irrigation rate) information require other types of data. NEON requires land use data on the local and continental scale.

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