Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season
The phenological phases of field crops have shifted to earlier times in the Czech Republic in recent decades; additionally, they have shown correlations with temperatures from previous spring months. Using a thermal time model called PhenoClim, the correlations between temperatures and phenophases a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/11/1854 |
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| author | Petra Dížková Lenka Bartošová Monika Bláhová Jan Balek Lenka Hájková Daniela Semerádová Jakub Bohuslav Eva Pohanková Zdeněk Žalud Miroslav Trnka |
| author_facet | Petra Dížková Lenka Bartošová Monika Bláhová Jan Balek Lenka Hájková Daniela Semerádová Jakub Bohuslav Eva Pohanková Zdeněk Žalud Miroslav Trnka |
| author_sort | Petra Dížková |
| collection | DOAJ |
| description | The phenological phases of field crops have shifted to earlier times in the Czech Republic in recent decades; additionally, they have shown correlations with temperatures from previous spring months. Using a thermal time model called PhenoClim, the correlations between temperatures and phenophases allow us to evaluate the strongest predictors (i.e., maximum temperature) and indicators of base temperatures and growing degree days for the selected phenophases of winter wheat (<i>Triticum aestivum</i> L.). With the help of this model, it is possible to explain 0.6–0.82% of the phase variability and to estimate the onset of phenophases for the selected time period and stations (with the RMSE values of 9.4 days for jointing, 4.3 days for heading, and 5.3 days for full ripeness). To further refine the modeled onsets of phenophases, we used satellite data, specifically the normalized difference vegetation index and the enhanced vegetation index 2 from MODIS; based on these vegetation indices, the start of the growing season (SOS) was determined. After including SOS to model PhenoClim, we modeled the onsets of phenophases, with average accuracies ranging from 6.2 to 15.2. By combining the thermal time model and remote sensing data, specifically the data concerning the determination of SOS, we can refine the modeling of the onset of full ripeness in some locations. |
| first_indexed | 2024-03-09T19:15:52Z |
| format | Article |
| id | doaj.art-1d7dd9bd61bb49c9b1b1ecd647c0d9f5 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T19:15:52Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-1d7dd9bd61bb49c9b1b1ecd647c0d9f52023-11-24T03:43:19ZengMDPI AGAtmosphere2073-44332022-11-011311185410.3390/atmos13111854Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing SeasonPetra Dížková0Lenka Bartošová1Monika Bláhová2Jan Balek3Lenka Hájková4Daniela Semerádová5Jakub Bohuslav6Eva Pohanková7Zdeněk Žalud8Miroslav Trnka9Global Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicDepartment of Biometeorological Applications, Czech Hydrometeorological Institute, Na Šabatce 17, 14300 Prague, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicGlobal Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech RepublicThe phenological phases of field crops have shifted to earlier times in the Czech Republic in recent decades; additionally, they have shown correlations with temperatures from previous spring months. Using a thermal time model called PhenoClim, the correlations between temperatures and phenophases allow us to evaluate the strongest predictors (i.e., maximum temperature) and indicators of base temperatures and growing degree days for the selected phenophases of winter wheat (<i>Triticum aestivum</i> L.). With the help of this model, it is possible to explain 0.6–0.82% of the phase variability and to estimate the onset of phenophases for the selected time period and stations (with the RMSE values of 9.4 days for jointing, 4.3 days for heading, and 5.3 days for full ripeness). To further refine the modeled onsets of phenophases, we used satellite data, specifically the normalized difference vegetation index and the enhanced vegetation index 2 from MODIS; based on these vegetation indices, the start of the growing season (SOS) was determined. After including SOS to model PhenoClim, we modeled the onsets of phenophases, with average accuracies ranging from 6.2 to 15.2. By combining the thermal time model and remote sensing data, specifically the data concerning the determination of SOS, we can refine the modeling of the onset of full ripeness in some locations.https://www.mdpi.com/2073-4433/13/11/1854phenologyfield cropPhenoClim modelMODISremote sensing |
| spellingShingle | Petra Dížková Lenka Bartošová Monika Bláhová Jan Balek Lenka Hájková Daniela Semerádová Jakub Bohuslav Eva Pohanková Zdeněk Žalud Miroslav Trnka Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season Atmosphere phenology field crop PhenoClim model MODIS remote sensing |
| title | Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season |
| title_full | Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season |
| title_fullStr | Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season |
| title_full_unstemmed | Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season |
| title_short | Modeling Phenological Phases of Winter Wheat Based on Temperature and the Start of the Growing Season |
| title_sort | modeling phenological phases of winter wheat based on temperature and the start of the growing season |
| topic | phenology field crop PhenoClim model MODIS remote sensing |
| url | https://www.mdpi.com/2073-4433/13/11/1854 |
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