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Environmental System Science

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Archived

The Biological and Environmental Research (BER) program within the Office of Science (SC), U.S. Department of Energy (DOE) hereby announces its interest in receiving research applications for Environmental System Science (ESS). As part of the ESS program, the Terrestrial Ecosystem Science activity seeks to improve the understanding and representation of terrestrial ecosystems in ways that advance

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The project “Environmental System Science” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

The Biological and Environmental Research (BER) program within the Office of Science (SC), U.S. Department of Energy (DOE) hereby announces its interest in receiving research applications for Environmental System Science (ESS). As part of the ESS program, the Terrestrial Ecosystem Science activity seeks to improve the understanding and representation of terrestrial ecosystems in ways that advance Earth system model parameterizations and capabilities. This FOA will consider applications that utilize and couple measurements, experiments, modeling and/or synthesis of terrestrial ecosystem across a continuum from the subsurface to the top of the vegetated canopy and from molecular to global scales. ESS hereby announces its interest in grant applications for improved quantitative and predictive understanding of critical terrestrial ecosystems processes and feedbacks preferentially within high latitude (i.e., Arctic and Boreal) and coastal ecosystems in the following areas: Interactions between above and below-ground processes and traits, impacts of disturbances on ecosystems, and coupled biogeochemical and energy fluxes at the terrestrial-aquatic interface. Applicants are required to pose their research applications in the context of representing terrestrial ecosystem processes appropriate for improving the predictability of Earth system models.

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High

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100%

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