Impacts of future climate change on Hungarian crop production: An application of crop growth simulation models

1991 ◽  
Vol 37 (4) ◽  
pp. 435-450 ◽  
Author(s):  
Z Bacsi ◽  
P.K Thornton ◽  
J.B Dent
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Simulation Models ◽  
Crop Growth ◽  
Future Climate ◽  
Future Climate Change ◽  
Growth Simulation ◽  
Crop Growth Simulation

Adapting Agriculture to Climate Change: Suitability of Banana Crop Production to Future Climate Change Over Uganda

2017 ◽  
pp. 175-190 ◽  
Author(s):  
Geoffrey Sabiiti ◽  
Joseph Mwalichi Ininda ◽  
Laban Ayieko Ogallo ◽  
Jully Ouma ◽  
Guleid Artan ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Future Climate ◽  
Future Climate Change ◽  
Banana Crop

scholarly journals Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios

2012 ◽  
Vol 16 (6) ◽  
pp. 1577-1593 ◽  
Author(s):  
P. E. V. van Walsum ◽  
I. Supit
Keyword(s):  
Climate Change ◽  
Soil Moisture ◽  
Dynamic Models ◽  
Static Model ◽  
Crop Growth ◽  
Climate Scenarios ◽  
Hydrologic Modelling ◽  
Growth Simulation ◽  
Crop Simulation ◽  
Crop Growth Simulation

Abstract. Hydrologic climate change modelling is hampered by climate-dependent model parameterizations. To reduce this dependency, we extended the regional hydrologic modelling framework SIMGRO to host a two-way coupling between the soil moisture model MetaSWAP and the crop growth simulation model WOFOST, accounting for ecohydrologic feedbacks in terms of radiation fraction that reaches the soil, crop coefficient, interception fraction of rainfall, interception storage capacity, and root zone depth. Except for the last, these feedbacks are dependent on the leaf area index (LAI). The influence of regional groundwater on crop growth is included via a coupling to MODFLOW. Two versions of the MetaSWAP-WOFOST coupling were set up: one with exogenous vegetation parameters, the "static" model, and one with endogenous crop growth simulation, the "dynamic" model. Parameterization of the static and dynamic models ensured that for the current climate the simulated long-term averages of actual evapotranspiration are the same for both models. Simulations were made for two climate scenarios and two crops: grass and potato. In the dynamic model, higher temperatures in a warm year under the current climate resulted in accelerated crop development, and in the case of potato a shorter growing season, thus partly avoiding the late summer heat. The static model has a higher potential transpiration; depending on the available soil moisture, this translates to a higher actual transpiration. This difference between static and dynamic models is enlarged by climate change in combination with higher CO2 concentrations. Including the dynamic crop simulation gives for potato (and other annual arable land crops) systematically higher effects on the predicted recharge change due to climate change. Crop yields from soils with poor water retention capacities strongly depend on capillary rise if moisture supply from other sources is limited. Thus, including a crop simulation model in an integrated hydrologic simulation provides a valuable addition for hydrologic modelling as well as for crop modelling.

The ‘School of de Wit’ crop growth simulation models: A pedigree and historical overview

1996 ◽  
Vol 52 (2-3) ◽  
pp. 171-198 ◽  
Author(s):  
B.A.M. Bouman ◽  
H. van Keulen ◽  
H.H. van Laar ◽  
R. Rabbinge
Keyword(s):  
Simulation Models ◽  
Crop Growth ◽  
Historical Overview ◽  
Growth Simulation ◽  
Crop Growth Simulation

scholarly journals MIROC-INTEG1: A global bio-geochemical land surface model with human water management, crop growth, and land-use change

2019 ◽  
Author(s):  
Tokuta Yokohata ◽  
Tsuguki Kinoshita ◽  
Gen Sakurai ◽  
Yadu Pokhrel ◽  
Akihiko Ito ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Crop Production ◽  
Global Climate Model ◽  
Future Climate ◽  
Climate System ◽  
Future Climate Change ◽  
Surface Model

Abstract. Future changes in the climate system could have significant impacts on the natural environment and human activities, which in turn affect changes in the climate system. In the interaction between natural and human systems under climate change conditions, land use is one of the elements that play an essential role. Future climate change will affect the availability of water and food, which may impact land-use change. On the other hand, human land-use change can affect the climate system through bio-geophysical and bio-geochemical effects. To investigate these interrelationships, we developed MIROC-INTEG1 (MIROC INTEGrated terrestrial model version 1), an integrated model that combines the global climate model MIROC (Model for Interdisciplinary Research on Climate) with water resources, crop production, land ecosystem, and land use models. In this paper, we introduce the details and interconnections of the sub-models of MIROC-INTEG1, compare historical simulations with observations, and identify the various interactions between sub-models. MIROC-INTEG1 makes it possible to quantitatively evaluate the feedback processes or nexus between climate, water resources, crop production, land use, and ecosystem, and to assess the risks, trade-offs and co-benefits associated with future climate change and prospective mitigation and adaptation policies.

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