Carbon and energy fluxes in cropland ecosystems: a model-data comparison

Autor: S. W. Running, Atul K. Jain, P. Ciais, D.Y. Hollinger, Ian Baker, M. El Maayar, Zhengpeng Li, C. Izaurralde, Daniel M. Ricciuto, Michael Sprintsin, Christina Tonitto, A. K. Sahoo, Margaret S. Torn, Michael Dietze, Yongkang Xue, Alan G. Barr, David Price, Hans Verbeeck, Ryan S. Anderson, David R. Cook, Andrew E. Suyker, Philippe Peylin, A. S. Denning, Christopher J. Kucharik, Roser Matamala, M. A. Arain, Hanqin Tian, Erandathie Lokupitiya, Shashi B. Verma, Shuguang Liu, Robert F. Grant, Guangsheng Chen, Longhui Li, Jing M. Chen, Markus Fischer, Kevin Schaefer
Přispěvatelé: University of Colombo [Sri Lanka], Colorado State University [Fort Collins] (CSU), Saarland University [Saarbrücken], Environmental Sciences Division [Oak Ridge], Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC-UT-Battelle, LLC, Department of Atmospheric Science [Fort Collins], Environment and Climate Change Canada, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Indiana University [Bloomington], Indiana University System, École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES), Department of Renewable Resources, University of Alberta, NE Research Station, USDA Forest Service, Lab-STICC_TB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Département Micro-Ondes (MO), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Nelson Inst, Ctr Sustainabil & Global Environm, Dept Agron, University of Wisconsin-Madison, Public Health Clinical Center of Chengdu, University of New South Wales [Sydney] (UNSW), Biosciences Division, Argonne National Laboratory [Lemont] (ANL), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), University of Hawai‘i [Mānoa] (UHM), Numerical Terradynamics Simulation Group, University of Montana, School of Natural Resources, University of Nebraska [Lincoln], University of Nebraska System-University of Nebraska System, China National Research Center of Intelligent Equipment for Agriculture [Beijing] (NRCIEA), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Computational & Applied Vegetation Ecology (CAVElab), Universiteit Gent = Ghent University [Belgium] (UGENT), ABirla Institute of Technology Mesra, Pôle Information Médicale Evaluation Recherche (IMER), Hospices Civils de Lyon (HCL), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), University of Nebraska–Lincoln, Universiteit Gent = Ghent University (UGENT)
Rok vydání: 2016
Předmět:
Biosphere model
010504 meteorology & atmospheric sciences
Environmental Science and Management
Planetary boundary layer
Eddy covariance
Growing season
Climate change
Carbon and energy fluxes
Sensible heat
Atmospheric sciences
01 natural sciences
Latent heat
Environmental Chemistry
Ecosystem
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
Earth-Surface Processes
Water Science and Technology
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
2. Zero hunger
Hydrology
Cropland ecosystems
Land-atmosphere exchange
Agronomy & Agriculture
04 agricultural and veterinary sciences
15. Life on land
Cropland carbon and energy exchange
Geochemistry
13. Climate action
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
Environmental science
Other Chemical Sciences
Model-data comparison
Zdroj: Biogeochemistry
Biogeochemistry, Springer Verlag, 2016, 129 (1-2), pp.53-76. ⟨10.1007/s10533-016-0219-3⟩
Biogeochemistry, vol 129, iss 1-2
Biogeochemistry, 2016, 129 (1-2), pp.53-76. ⟨10.1007/s10533-016-0219-3⟩
Lokupitiya, E; Denning, AS; Schaefer, K; Ricciuto, D; Anderson, R; Arain, MA; et al.(2016). Carbon and energy fluxes in cropland ecosystems: a model-data comparison. Biogeochemistry, 129(1-2), 53-76. doi: 10.1007/s10533-016-0219-3. UCLA: Retrieved from: http://www.escholarship.org/uc/item/6058n08v
ISSN: 1573-515X
0168-2563
DOI: 10.1007/s10533-016-0219-3
Popis: © 2016, Springer International Publishing Switzerland. Croplands are highly productive ecosystems that contribute to land–atmosphere exchange of carbon, energy, and water during their short growing seasons. We evaluated and compared net ecosystem exchange (NEE), latent heat flux (LE), and sensible heat flux (H) simulated by a suite of ecosystem models at five agricultural eddy covariance flux tower sites in the central United States as part of the North American Carbon Program Site Synthesis project. Most of the models overestimated H and underestimated LE during the growing season, leading to overall higher Bowen ratios compared to the observations. Most models systematically under predicted NEE, especially at rain-fed sites. Certain crop-specific models that were developed considering the high productivity and associated physiological changes in specific crops better predicted the NEE and LE at both rain-fed and irrigated sites. Models with specific parameterization for different crops better simulated the inter-annual variability of NEE for maize-soybean rotation compared to those models with a single generic crop type. Stratification according to basic model formulation and phenological methodology did not explain significant variation in model performance across these sites and crops. The under prediction of NEE and LE and over prediction of H by most of the models suggests that models developed and parameterized for natural ecosystems cannot accurately predict the more robust physiology of highly bred and intensively managed crop ecosystems. When coupled in Earth System Models, it is likely that the excessive physiological stress simulated in many land surface component models leads to overestimation of temperature and atmospheric boundary layer depth, and underestimation of humidity and CO2seasonal uptake over agricultural regions.
Databáze: OpenAIRE
Externí odkaz: