Publication Date
1997
Description
The purpose of this study is to estimate changes in the productivity of orchardgrass (Dactylis glomerata L.) resulting from an anticipated increase in CO2 and a rise in temperature. Productivity of orchardgrass is primarily determined by mean temperature and solar radiation. Accordingly, a growth model was established on this basis by using the neural network method. Maps of areas where productivity is depressed in the summertime were drawn based on calculations applying anticipated climatic changes to this model. The direct influence of the increase in CO2 density was also considered in making these maps. As a result, it was concluded that, in the future, the area adversely affected by summer heat will increase, while the area capable of sustaining high productivity will be reduced.
Citation
Sasaki, H; Suyama, T; and Fukuyama, M, "Productivity of Orchardgrass in Japan Estimated by the Neural Network Method and the Effect of an Increase in CO2 and a Rise in Temperature" (2024). IGC Proceedings (1993-2023). 7.
https://uknowledge.uky.edu/igc/1997/session9/7
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Productivity of Orchardgrass in Japan Estimated by the Neural Network Method and the Effect of an Increase in CO2 and a Rise in Temperature
The purpose of this study is to estimate changes in the productivity of orchardgrass (Dactylis glomerata L.) resulting from an anticipated increase in CO2 and a rise in temperature. Productivity of orchardgrass is primarily determined by mean temperature and solar radiation. Accordingly, a growth model was established on this basis by using the neural network method. Maps of areas where productivity is depressed in the summertime were drawn based on calculations applying anticipated climatic changes to this model. The direct influence of the increase in CO2 density was also considered in making these maps. As a result, it was concluded that, in the future, the area adversely affected by summer heat will increase, while the area capable of sustaining high productivity will be reduced.
