FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W35621731> ?p ?o ?g. }

• W35621731 abstract "Recently, the scale of interest for application of crop growth models has extended to the region or even globe with time frames of 50-100 years. The application at larger scales of a crop growth model originally developed for a small scale without any adaptation might lead to errors and inaccuracies. Moreover, application of crop growth models at large scales usually gives problems with respect to missing data. Knowledge about the required level of modelling detail to accurately represent crop growth processes in crop growth models to be applied at large scales is scarce. In this thesis we analysed simulated potential yields, which resulted from models which apply different levels of detail to represent important crop growth processes. Our results indicated that, after location-specific calibration, models in which the same processes were represented with different levels of detail may perform similarly. Model performance was in general best for models which represented leaf area dynamics with the lowest level of detail. Additionally, the results indicated that the use of a different description of light interception significantly changes model outcomes. Especially the representation of leaf senescence was found to be critical for model performance. Global crop growth models are often used with monthly weather data, while crop growth models were originally developed for daily weather data. We examined the effects of replacing daily weather data with monthly data. Results showed that using monthly weather data may result in higher simulated amounts of biomass. In addition, we found increasing detail in a modelling approach to give higher sensitivity to aggregation of input data. Next, we investigated the impact of the use of spatially aggregated sowing dates and temperatures on the simulated phenology of winter wheat in Germany. We found simulated winter wheat phenology in Germany to be rather similar using either non-aggregated input data or aggregated input data with a 100 km × 100 km resolution. Generation or simulation of input data for crop growth models is often neces­sary if the model is applied at large scales. We simulated sowing dates of several rainfed crops by assuming farmers to sow either when temperature exceeds a crop-specific threshold or at the onset of the wet season. For a large part of the globe our methodology is capable of simulating reasonable sowing dates. To simulate the end of the cropping period (i.e. harvesting dates) we developed simple algorithms to generate unknown crop- and location-specific phenological parameters. In the main cropping regions of wheat the simulated lengths corresponded well with the observations; our methodology worked less well for maize (over- and underestimations of 0.5 to 1.5 month). Importantly, our evaluation of possible consequences for simulated yields related to uncertainties in simulated sowing and harvesting dates showed that simulated yields are rather similar using either simulated or observed sowing and harvesting dates (a maximum difference of 20%), indicating the applicability of our methodology in crop productivity assessments. The thesis concludes with a discussion on a proposed structure of a global crop growth model which is expected to simulate reasonable potential yields at the global scale if only monthly aggregates of climate data at a 0.5° × 0.5° grid are available. The proposed model consists of a forcing function, defined in terms of sigmoidal and quadratic functions to represent light interception, combined with the radiation use efficiency approach, and phenology determining the allocation of biomass to the organs of the crop. Within the model sowing dates and pheno­logical cultivar characteristics are simulated. Based on the proposed model the thesis finally derives directions for future research to further enhance global crop growth modelling." @default.
• W35621731 created "2016-06-24" @default.
• W35621731 creator A5047340630 @default.
• W35621731 date "2011-01-01" @default.
• W35621731 modified "2023-09-23" @default.
• W35621731 title "From field to globe: upscaling of crop growth modelling" @default.
• W35621731 hasPublicationYear "2011" @default.
• W35621731 type Work @default.
• W35621731 sameAs 35621731 @default.
• W35621731 citedByCount "1" @default.
• W35621731 countsByYear W356217312014 @default.
• W35621731 crossrefType "journal-article" @default.
• W35621731 hasAuthorship W35621731A5047340630 @default.
• W35621731 hasConcept C105795698 @default.
• W35621731 hasConcept C137580998 @default.
• W35621731 hasConcept C153294291 @default.
• W35621731 hasConcept C165838908 @default.
• W35621731 hasConcept C17744445 @default.
• W35621731 hasConcept C18903297 @default.
• W35621731 hasConcept C199539241 @default.
• W35621731 hasConcept C202444582 @default.
• W35621731 hasConcept C205649164 @default.
• W35621731 hasConcept C2776359362 @default.
• W35621731 hasConcept C2778755073 @default.
• W35621731 hasConcept C33923547 @default.
• W35621731 hasConcept C39432304 @default.
• W35621731 hasConcept C58640448 @default.
• W35621731 hasConcept C61270487 @default.
• W35621731 hasConcept C86803240 @default.
• W35621731 hasConcept C94625758 @default.
• W35621731 hasConcept C9652623 @default.
• W35621731 hasConcept C97137747 @default.
• W35621731 hasConceptScore W35621731C105795698 @default.
• W35621731 hasConceptScore W35621731C137580998 @default.
• W35621731 hasConceptScore W35621731C153294291 @default.
• W35621731 hasConceptScore W35621731C165838908 @default.
• W35621731 hasConceptScore W35621731C17744445 @default.
• W35621731 hasConceptScore W35621731C18903297 @default.
• W35621731 hasConceptScore W35621731C199539241 @default.
• W35621731 hasConceptScore W35621731C202444582 @default.
• W35621731 hasConceptScore W35621731C205649164 @default.
• W35621731 hasConceptScore W35621731C2776359362 @default.
• W35621731 hasConceptScore W35621731C2778755073 @default.
• W35621731 hasConceptScore W35621731C33923547 @default.
• W35621731 hasConceptScore W35621731C39432304 @default.
• W35621731 hasConceptScore W35621731C58640448 @default.
• W35621731 hasConceptScore W35621731C61270487 @default.
• W35621731 hasConceptScore W35621731C86803240 @default.
• W35621731 hasConceptScore W35621731C94625758 @default.
• W35621731 hasConceptScore W35621731C9652623 @default.
• W35621731 hasConceptScore W35621731C97137747 @default.
• W35621731 hasOpenAccess W35621731 @default.
• W35621731 hasRelatedWork W1509388152 @default.
• W35621731 hasRelatedWork W1582659382 @default.
• W35621731 hasRelatedWork W1997089378 @default.
• W35621731 hasRelatedWork W2007852692 @default.
• W35621731 hasRelatedWork W2106560639 @default.
• W35621731 hasRelatedWork W2152711064 @default.
• W35621731 hasRelatedWork W2346168539 @default.
• W35621731 hasRelatedWork W2467006436 @default.
• W35621731 hasRelatedWork W2768494765 @default.
• W35621731 hasRelatedWork W2885573894 @default.
• W35621731 hasRelatedWork W2887450747 @default.
• W35621731 hasRelatedWork W2907373137 @default.
• W35621731 hasRelatedWork W2913802822 @default.
• W35621731 hasRelatedWork W2936309449 @default.
• W35621731 hasRelatedWork W2945365803 @default.
• W35621731 hasRelatedWork W2947837721 @default.
• W35621731 hasRelatedWork W2996665775 @default.
• W35621731 hasRelatedWork W3109106773 @default.
• W35621731 hasRelatedWork W38188654 @default.
• W35621731 hasRelatedWork W81523243 @default.
• W35621731 isParatext "false" @default.
• W35621731 isRetracted "false" @default.
• W35621731 magId "35621731" @default.
• W35621731 workType "article" @default.