Collection Citation: maggie.bowman, Alexis Heath, Tamas Varga, Anil Battu, Will Kew, Cheng Shi, Rosey Chu, Che Clendinen, Odeta Qafoku, Jason.Toyoda, qian.zhao, Izabel Stohel, Michael Rosenstock, Albert Lawver, nicholas.sconzo, James Anderson, Patricia Miller, Andrew T Townsend, Nancy Hess, John Bargar, emily.graham, Rey Huachambe 2023. Molecular Observation Network (MONet). protocols.io https://dx.doi.org/10.17504/protocols.io.5jyl8jr49g2w/v2Version created by sarah.leichty Leichty
License: This is an open access collection distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this collection and it's working
Created: March 22, 2023
Last Modified: March 22, 2023
Collection Integer ID: 79253
Funders Acknowledgement:
Environmental Molecular Sciences Laboratory
Abstract
EMSL is leading the effort to develop a national network of environmental sampling and sensing sites to produce comprehensive molecular-level information on the composition and structure of soil, water, and resident microbial communities required to advance the span and accuracy of multiscale models of Earth systems.
Through the Molecular Observation Network (MONet), EMSL will collaborate with a broad range of partners managing an expanding network of selected natural, urban, and managed watershed, coastal, continental, and atmospheric sites, both experimental and observational.
To establish MONet for the Biological and Environmental Research user community, research will focus on seven areas. Research focused under current development include:
Establishing the supporting field and experimental networks,
Advancing methods for model–data exchange and multiscale modeling,
Automating organic matter and soil analysis,
Developing the next generation of rhizosphere sensors and other field sensors for plants, microbes, nutrients, biomarkers, and aerosols.
The data and models generated through MONet will improve prediction of ecosystem function and response to disturbances, supporting the long-term U.S. Department of Energy goal of scientifically informed decision-making regarding the nation’s energy and environmental security and sustainability.
For more information please visit: https://www.emsl.pnnl.gov/monet
