Yayınlanmış 1 Ocak 2011 | Sürüm v1
Dergi makalesi Açık

Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models

  • 1. MTT Agrifood Res Finland, Mikkeli 50100, Finland
  • 2. Leibniz Ctr Agr Landscape Res ZALF, Inst Landscape Syst Anal, D-15374 Muncheberg, Germany
  • 3. Univ Bonn, Inst Crop Sci & Resource Conservat, D-53115 Bonn, Germany
  • 4. Mendel Univ Brno, Inst Agrosyst & Bioclimatol, Brno 61300, Czech Republic
  • 5. Natl Res Council Italy, IBIMET CNR, Inst Biometeorol, I-50145 Florence, Italy
  • 6. Aarhus Univ, Dept Agroecol & Environm, DK-8830 Tjele, Denmark
  • 7. INRA, UMR Environm & Agron 1114, F-84000 Avignon, France
  • 8. Soil Sci & Conservat Res Inst, Bratislava 82713, Slovakia
  • 9. Univ Florence, DIPSA, Dept Plant Soil & Environm Sci, I-50144 Florence, Italy
  • 10. Istanbul Tech Univ, Fac Aeronaut & Astronaut, Dpt Meteorol, TR-34469 Istanbul, Turkey
  • 11. Slovak Univ Agr, Dept Biometeorol & Hydrol, Nitra 94901, Slovakia

Açıklama

We compared the performance of eight widely used, easily accessible and well-documented crop growth simulation models (APES, CROPSYST, DAISY, DSSAT, FASSET, HERMES. STICS and WOFOST) for winter wheat (Triticum aestivum L) during 49 growing seasons at eight sites in northwestern, Central and southeastern Europe. The aim was to examine how different process-based crop models perform at the field scale when provided with a limited set of information for model calibration and simulation, reflecting the typical use of models for large-scale applications, and to present the uncertainties related to this type of model application. Data used in the simulations consisted of daily weather statistics, information on soil properties, information on crop phenology for each cultivar, and basic crop and soil management information.

Dosyalar

bib-8bed682e-828b-470a-b079-723fb50596be.txt

Dosyalar (414 Bytes)

Ad Boyut Hepisini indir
md5:ce6a2d2903d11cb280b57c02763845c8
414 Bytes Ön İzleme İndir