Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
The Braunschweig carbon project - atmospheric flux monitoring and free aircarbon dioxide enrichment
Autore:
Weigel, HJ; Dammgen, U;
Indirizzi:
Bundesforschermanylt Landwirtschaft, Inst Agr Okol, D-38116 Braunschweig, G Bundesforsch Anstalt Landwirtschaft Braunschweig Germany D-38116 weig, G
Titolo Testata:
BERICHTE UBER LANDWIRTSCHAFT
fascicolo: 1, volume: 77, anno: 1999,
pagine: 49 - 58
SICI:
0005-9080(199903)77:1<49:TBCP-A>2.0.ZU;2-J
Fonte:
ISI
Lingua:
GER
Soggetto:
ELEVATED CO2; SOIL; RESPONSES; PLANTS; CYCLE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
29
Recensione:
Indirizzi per estratti:
Indirizzo: Weigel, HJ Bundesforsch Anstalt Landwirtschaft, Inst Agr Okol, Bundesallee50, D-38116 Bundesforsch Anstalt Landwirtschaft Bundesallee 50 Braunschweig Germany D-38116
Citazione:
H.J. Weigel e U. Dammgen, "The Braunschweig carbon project - atmospheric flux monitoring and free aircarbon dioxide enrichment", BER LANDWIR, 77(1), 1999, pp. 49-58

Abstract

With respect to the predicted climate change it has become evident that the role of terrestrial ecosystems in the global carbon turnover is not yet fully understood. This is also true for carbon fluxes in agricultural ecosystems. As increasing atmospheric CO2 concentrations will directly affect plant photosynthesis, plant biomass production and plant water relations, it is of particular importance to predict the dynamics of carbon fluxes betweenthe atmosphere and agricultural canopies and the related consequences for agroecosystems under future atmospheric CO2 conditions. There are hardly any experimental approaches under real field conditions in crop rotation systems to simulate future CO2 scenarios. The Braunschweig carbon project is a combination of micrometeorological flux measurements of atmospheric trace gases and other air constituents and of a large scale free air carbon dioxide enrichment (FACE) experiment. The project is particularly designed to meet the data requirement of process and landscape models. The data will also contribute to the improvement and validation of models to predict the consequences of climate changes for agricultural ecosystems. The present contribution is a description of the structure of the experiments and the involvement of modelling approaches.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 21/09/20 alle ore 09:43:59