Vegetation-specific model parameters are not required for estimating gross primary production (Articolo in rivista)

Type
Label
  • Vegetation-specific model parameters are not required for estimating gross primary production (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.ecolmodel.2014.08.017 (literal)
Alternative label
  • Yuan, WP (Yuan, Wenping)[ 1,2 ] ; Cai, WW (Cai, Wenwen)[ 1,2 ] ; Liu, SG (Liu, Shuguang)[ 3 ] ; Dong, WJ (Dong, Wenjie)[ 1,2 ] ; Chen, JQ (Chen, Jiquan)[ 4,5 ] ; Arain, MA (Arain, M. Altaf)[ 6 ] ; Blanken, PD (Blanken, Peter D.)[ 7 ] ; Cescatti, A (Cescatti, Alessandro)[ 8 ] ; Wohlfahrt, G (Wohlfahrt, Georg)[ 9 ] ; Georgiadis, T (Georgiadis, Teodoro)[ 10 ] ; Genesio, L (Genesio, Lorenzo)[ 11 ] ; Gianelle, D (Gianelle, Damiano)[ 12 ] ; Grelle, A (Grelle, Achim)[ 13 ] ; Kiely, G (Kiely, Gerard)[ 14,15 ] ; Knohl, A (Knohl, Alexander)[ 16 ] ; Liu, D (Liu, Dan)[ 1,2 ] ; Marek, MV (Marek, Michal V.)[ 17 ] ; Merbold, L (Merbold, Lutz)[ 18 ] ; Montagnani, L (Montagnani, Leonardo)[ 19,20 ] ; Panferov, O (Panferov, Oleg)[ 16 ] ; Peltoniemi, M (Peltoniemi, Mikko)[ 21 ] ; Rambal, S (Rambal, Serge)[ 22 ] ; Raschi, A (Raschi, Antonio)[ 11 ] ; Varlagin, A (Varlagin, Andrej)[ 23 ] ; Xia, JZ (Xia, Jiangzhou)[ 1,2 (2014)
    Vegetation-specific model parameters are not required for estimating gross primary production
    in Ecological modelling; ELSEVIER SCIENCE B.V., AMSTERDAM (Paesi Bassi)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Yuan, WP (Yuan, Wenping)[ 1,2 ] ; Cai, WW (Cai, Wenwen)[ 1,2 ] ; Liu, SG (Liu, Shuguang)[ 3 ] ; Dong, WJ (Dong, Wenjie)[ 1,2 ] ; Chen, JQ (Chen, Jiquan)[ 4,5 ] ; Arain, MA (Arain, M. Altaf)[ 6 ] ; Blanken, PD (Blanken, Peter D.)[ 7 ] ; Cescatti, A (Cescatti, Alessandro)[ 8 ] ; Wohlfahrt, G (Wohlfahrt, Georg)[ 9 ] ; Georgiadis, T (Georgiadis, Teodoro)[ 10 ] ; Genesio, L (Genesio, Lorenzo)[ 11 ] ; Gianelle, D (Gianelle, Damiano)[ 12 ] ; Grelle, A (Grelle, Achim)[ 13 ] ; Kiely, G (Kiely, Gerard)[ 14,15 ] ; Knohl, A (Knohl, Alexander)[ 16 ] ; Liu, D (Liu, Dan)[ 1,2 ] ; Marek, MV (Marek, Michal V.)[ 17 ] ; Merbold, L (Merbold, Lutz)[ 18 ] ; Montagnani, L (Montagnani, Leonardo)[ 19,20 ] ; Panferov, O (Panferov, Oleg)[ 16 ] ; Peltoniemi, M (Peltoniemi, Mikko)[ 21 ] ; Rambal, S (Rambal, Serge)[ 22 ] ; Raschi, A (Raschi, Antonio)[ 11 ] ; Varlagin, A (Varlagin, Andrej)[ 23 ] ; Xia, JZ (Xia, Jiangzhou)[ 1,2 (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 10 (literal)
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  • 292 (literal)
Rivista
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  • 10 (literal)
Note
  • ISI Web of Science (WOS) (literal)
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  • 1 ] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource, Beijing 100875, Peoples R China [ 2 ] Beijing Normal Univ Zhuhai, Future Earth Res Inst, Zhuhai 519087, Peoples R China [ 3 ] Cent South Univ Forestry & Technol, State Engn Lab Southern Forestry Appl Ecol & Tech, Changsha 410004, Hunan, Peoples R China [ 4 ] Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Int Ctr Ecol Meteorol & Environm, Nanjing 210044, Jiangsu, Peoples R China [ 5 ] Michigan State Univ, CGCEO Geog, E Lansing, MI 48824 USA [ 6 ] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada [ 7 ] Univ Colorado, Dept Geog, Boulder, CO 80309 USA [ 8 ] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, I-21020 Ispra, Italy [ 9 ] Univ Innsbruck, Inst Ecol, A-6020 Innsbruck, Austria [ 10 ] IBIMET CNR, Inst Biometeorol, I-40129 Bologna, Italy [ 11 ] IBIMET CNR, Inst Biometeorol, I-50145 Florence, Italy [ 12 ] Fdn E Mach, Res & Innovat Ctr, Sustainable Agroecosyst & Bioresources Dept, San Michele All Adige, Italy [ 13 ] Swedish Univ Agr Sci, Dept Ecol, S-75007 Uppsala, Sweden [ 14 ] Natl Univ Ireland Univ Coll Cork, Dept Civil & Environm Engn, Cork, Ireland [ 15 ] Natl Univ Ireland Univ Coll Cork, Environm Res Inst, Cork, Ireland [ 16 ] Univ Gottingen, Busgen Inst, Bioclimatol Grp, D-37073 Gottingen, Germany [ 17 ] Mendel Univ Brno, Dept Forest Ecol, Brno 60300, Czech Republic [ 18 ] ETH, Inst Agr Sci, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland [ 19 ] Forest Serv Autonomous Prov Bolzano, Bolzano, Italy [ 20 ] Free Univ Bolzano, Fac Sci & Technol, I-39100 Bolzano, Italy [ 21 ] Finnish Forest Res Inst, FIN-01301 Vantaa, Finland [ 22 ] CNRS, CEFE, DREAM, UMR5175, F-34293 Montpellier 5, France [ 23 ] Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow 119071, Russia (literal)
Titolo
  • Vegetation-specific model parameters are not required for estimating gross primary production (literal)
Abstract
  • Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is independent of vegetation cover type and characteristics can be adopted in prevalent LUE models. Availability of this well tested and universal set of parameters would help to improve the accuracy and applicability of LUE models in various biomes and geographic regions. (literal)
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