The paper focuses on implications of uncertainty in climate change impact assessment at the river basin and regional scales. The study was performed using the process-based ecohydrological spatially distributed model SWIM (Soil and Water Integrated Model). The model integrates hydrological processes, vegetation/crop growth, erosion and nutrient dynamics in river basins. It was developed from th...

in this study, a complex crop model was developed that integrates the various components of swap and csm-ceres-maize (dssat v4.0) model with the purpose of developing a more efficient model and according to the internal requirements. in the hybrid model, ceres-maize supplies swap model with daily leaf area index and root depth and on the other hand swap model supplies ceres-maize with daily wea...

Modelling nitrogen (N) dynamics is a valuable tool to predict the uptake, mobility and leaching of mineral N in soil pro®les. Many crop/soil N simulation models have been developed in the last 20 years for this purpose. However, methods for the operational evaluation of simulation models are not well established. Standard test statistics such as the Fand t-tests are being questioned because the...

Timely assessment of crop growth conditions under heavy metal pollution is of great significance for agricultural decision-making and estimation of crop productivity. The object of this study is to assess the effects of heavy metal stress on physiological functions of rice through the spatial-temporal analysis of the fraction of absorbed photosynthetically active radiation (FAPAR). The calculat...

38 The development and application of cropping system simulation models for cotton production has 39 a long and rich history, beginning in the southeastern United States in the 1960's and now expanded to 40 major cotton production regions globally. This paper briefly reviews the history of cotton simulation 41 models, examines applications of the models since the turn of the century, and identi...

Crop models are powerful tools to test hypotheses, synthesize and convey knowledge, describe and understand complex systems and compare different scenarios. Models may be used for prediction and planning of production, in decision support systems and control of the greenhouse climate, water supply and nutrient supply. The mechanistic simulation of tomato crop growth and development is described...

In this paper we coupled a crop growth model to the Weather Research and Forecast (WRF) with its land surface Noah-MP demonstrated influence of weather driven on land-atmosphere (L-A) feedback. An impact study was performed at convection permitting scale 3 km over Germany. While leaf area index (LAI) in control simulation same for all cropland grid cells, inclusion resulted heterogeneous develo...

water balance components are difficult to measure in short intervals because their measurement is time consuming and costly. therefore, soil-water--plant models can be used for prediction of these components. in this study, to predict grain yield and evaluate water use efficiency, an agro-hydrological model, namely, swap was used. this study covered a 10-years period from 2000-2010. based on th...