| Ecological assets valuation is a common concern of ecological economy, natural resource management, land use planning and sustainable development. The previous studies on evaluation of ecological assets and related management platforms were concentrated on large scale geographical or administrative units such as basins or cities. However, the rural area, particularly the administrative villages with plenty of ecological assets received little attention. We try to establish a set of indicators and respective evaluation models for rural ecological assets, therefore to develop a dynamic management information system to support evaluation, management and prediction of rural ecological assets.Firstly, we selected evaluation indicators and determined the related model and parameters for each indicator, combining references synthesis and characteristics of rural ecological assets in China. Furthermore, we developed a dynamic management information system for rural ecological system using C++ programming. Meanwhile, we defined the objectives, functions and applications of the system and determined the hardware and software requirements. This system can be running smoothly under Windows 7/8/Vista systems to evaluate and manage ecological assets and predict its change across time and different development scenarios at villages. As well the village information, models and parameters could be configured for specific administrative village. To test the functions and performances of the developed system, we inputted and run the real dataset from three sampled mountainous villages from Laiwu city, Shandong province of China. The results showed that the system performs well and can implement all designed functions.Overall, the established indicators and models respond to the change of ecological assets and land use appropriately. The system performs well with the expected functions of evaluation, management and prediction of ecological assets at village scale. Thus it could be applied to rural ecological assets management as a powerful tool for decision makers, residents and stakeholders. |