کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
507413 865122 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A graphical user interface for numerical modeling of acclimation responses of vegetation to climate change
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A graphical user interface for numerical modeling of acclimation responses of vegetation to climate change
چکیده انگلیسی

Ecophysiological models that vertically resolve vegetation canopy states are becoming a powerful tool for studying the exchange of mass, energy, and momentum between the land surface and the atmosphere. A mechanistic multilayer canopy–soil–root system model (MLCan) developed by Drewry et al. (2010a) has been used to capture the emergent vegetation responses to elevated atmospheric CO2 for both C3 and C4 plants under various climate conditions. However, processing input data and setting up such a model can be time-consuming and error-prone. In this paper, a graphical user interface that has been developed for MLCan is presented. The design of this interface aims to provide visualization capabilities and interactive support for processing input meteorological forcing data and vegetation parameter values to facilitate the use of this model. In addition, the interface also provides graphical tools for analyzing the forcing data and simulated numerical results. The model and its interface are both written in the MATLAB programming language. Finally, an application of this model package for capturing the ecohydrological responses of three bioenergy crops (maize, miscanthus, and switchgrass) to local environmental drivers at two different sites in the Midwestern United States is presented.


► We present a graphical user interface for a multi-layer canopy–root–soil model.
► Case studies that demonstrate the use of this GUI are presented.
► The GUI will make the model more accessible to a broader range of interested users.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 49, December 2012, Pages 91–101
نویسندگان
, , , ,