A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes. Issue 3 (19th March 2014)
- Record Type:
- Journal Article
- Title:
- A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes. Issue 3 (19th March 2014)
- Main Title:
- A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes
- Authors:
- Dietze, Michael C.
Serbin, Shawn P.
Davidson, Carl
Desai, Ankur R.
Feng, Xiaohui
Kelly, Ryan
Kooper, Rob
LeBauer, David
Mantooth, Joshua
McHenry, Kenton
Wang, Dan - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <p>Terrestrial biosphere models are designed to synthesize our current understanding of how ecosystems function, test competing hypotheses of ecosystem function against observations, and predict responses to novel conditions such as those expected under climate change. Reducing uncertainties in such models can improve both basic scientific understanding and our predictive capacity, but rarely are ecosystem models employed in the design of field campaigns. We provide a synthesis of carbon cycle uncertainty analyses conducted using the Predictive Ecosystem Analyzer ecoinformatics workflow with the Ecosystem Demography model v2. This work is a synthesis of multiple projects, using Bayesian data assimilation techniques to incorporate field data and trait databases across temperate forests, grasslands, agriculture, short rotation forestry, boreal forests, and tundra. We report on a number of data needs that span a wide array of diverse biomes, such as the need for better constraint on growth respiration, mortality, stomatal conductance, and water uptake. We also identify data needs that are biome specific, such as photosynthetic quantum efficiency at high latitudes. We recommend that future data collection efforts balance the bias of past measurements toward aboveground processes in temperate biomes with the sensitivities of different processes as represented by ecosystem models. ©2014. American Geophysical Union. All Rights<abstract abstract-type="main"> <title>Abstract</title> <p>Terrestrial biosphere models are designed to synthesize our current understanding of how ecosystems function, test competing hypotheses of ecosystem function against observations, and predict responses to novel conditions such as those expected under climate change. Reducing uncertainties in such models can improve both basic scientific understanding and our predictive capacity, but rarely are ecosystem models employed in the design of field campaigns. We provide a synthesis of carbon cycle uncertainty analyses conducted using the Predictive Ecosystem Analyzer ecoinformatics workflow with the Ecosystem Demography model v2. This work is a synthesis of multiple projects, using Bayesian data assimilation techniques to incorporate field data and trait databases across temperate forests, grasslands, agriculture, short rotation forestry, boreal forests, and tundra. We report on a number of data needs that span a wide array of diverse biomes, such as the need for better constraint on growth respiration, mortality, stomatal conductance, and water uptake. We also identify data needs that are biome specific, such as photosynthetic quantum efficiency at high latitudes. We recommend that future data collection efforts balance the bias of past measurements toward aboveground processes in temperate biomes with the sensitivities of different processes as represented by ecosystem models. ©2014. American Geophysical Union. All Rights Reserved.</p> </abstract> … (more)
- Is Part Of:
- Journal of geophysical research. Volume 119:Issue 3(2014:Sep.)
- Journal:
- Journal of geophysical research
- Issue:
- Volume 119:Issue 3(2014:Sep.)
- Issue Display:
- Volume 119, Issue 3 (2014)
- Year:
- 2014
- Volume:
- 119
- Issue:
- 3
- Issue Sort Value:
- 2014-0119-0003-0000
- Page Start:
- 286
- Page End:
- 300
- Publication Date:
- 2014-03-19
- Subjects:
- Geobiology -- Periodicals
Biogeochemistry -- Periodicals
Biotic communities -- Periodicals
Geophysics -- Periodicals
577.14 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2169-8961 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2013JG002392 ↗
- Languages:
- English
- ISSNs:
- 2169-8953
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4995.003000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3218.xml