Simulations of plant productivity are affected by modelling approaches of farm management
AbstractDespite their wide range of applications, process-based plant (crop and grassland) growth models often fail to reproduce yields, particularly at farm, regional and larger scales. This is largely due to inadequate information about field management activities needed as input to these models. A promising approach to overcome this limitation is to link plant growth models with farm management models which allow the simulation of management activities considering farmers’ aims and constraints. Different approaches to model farm management are available, but tangible results to justify the choice for a specific approach are lacking. The objective of this work was to compare the effects of different approaches of modelling farm management on the simulation of grassland mechanized harvest dates and yields. Simulations were run with each approach for two grassland-based beef farms and 3years and compared with available data over 156 harvest events. Our results show significant differences in the accuracy of simulated harvest dates depending on the approach to model farm management. Approaches using fixed dates or optimal phenological stages determined by expert knowledge performed less accurate than the one using calibrated phenological stages. Best results were achieved with a detailed farm management model. The accuracy of simulated yields was less affected by the chosen farm management modelling approach. However, this differed depending on the climate and the timing of harvest, allowing to rank approaches according to their ability to simulate harvest dates and yields. We conclude that further investigation is required to generalize these findings to other farm types including arable farming, and to support the analysis, modelling and calibration of farmers’ management decision processes.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Agricultural Systems.
Volume (Year): 109 (2012)
Issue (Month): C ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/agsy
Farm model; Decision-making modelling; Model complexity; Farmers’ decisions; Grassland-based beef farm;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.