Estimation And Visualization Of Wheat Carbon Sink Based On GIS

With the increasing of global warming, greenhouse effect and other environmental problems, carbon sink are becoming more and more important in research as an important part of the global carbon cycle process. As the most profound part affected by human activities, Agro-ecosystem is an important part of terrestrial ecosystems, and plays an important role in terrestrial carbon sinks. Most studies on agriculture carbon sinks are concentrated in soil, but fewer concentrated in crop. Photosynthesis absorb atmospheric CO2 while the crop growing, which makes the crop carbon sink an important part in carbon sink research. Meanwhile, China is a large agricultural country, and wheat is one of three major food crops in China, so study on estimating wheat carbon sinks has important significance.In this paper, Yanzhou experimental field was chosen as the research object. Wheat carbon sink estimating model was chosen as the entry point, an area based wheat carbon sink model was proposed using Crop-C model as the basic framework. Then an estimation and visualization system of wheat carbon sink based on ArcGIS API for JavaScript was developed. Details of the research are as follows:(1) The Crop-C model was chosen as the basic framework for wheat carbon sink model by comparing and analyzing common crop carbon sinks model including DNDC, CERES-Wheat and Crop-C model.(2) Electrical conductivity of the soil, the amount of phosphate fertilizer and potash fertilizer, planting density was chosen as the parameters for research by study the mechanism of parameters in Crop-C model. Then the parameters was utilized into Crop-C model and a correction was done to improve its accuracy. By comparing the result of the optimized model and the origin Crop-C model using data of Shandong Agricultural, the optimized model was proved to be more accuracy and stable.(3) The optimized model was studied and emulated with carbon sink data of Yanzhou fields. A verification was done by comparing the detected data and the emulated data using optimized Crop-C model. It results that the emulated result is of high accuracy and can well predict the carbon sink status of Yanzhou.(4) An estimation and visualization system of wheat carbon sink was developed utilizing the optimized model based on ArcGIS API for JavaScript by using Microsoft Visual Studio 2013 and ArcGIS as development tools. And a series of analysis functions including the maps basic operation, attribute query and carbon sinks information display was implemented in the system.