There has been a long debate over the effect of logging on flood events. The 1998 Yangtze River Flood sounded the alarm for Chinese Government to take actions to protect her environment for sustainable development and Chinese Government proposed strict logging ban after this disaster. Unexpectedly, these well-intentioned environmental policies received controversy criticism from the international community. The main reason behind this phenomenon is that the relationship between forest and flood is still unclear. Based on intense literature research, this paper uses Yangtze River Watershed as a specific example to explore the relationship between forests, floods, and the biophysical environment. Chinese Government’s policy taken after 1998 Yangtze River Flood will also be evaluated according to conclusions made regarding the relationship between logging and flood.

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Forest and flood : aftermath of the 1998 Yangtze River flood

To better support forest sustainable management, this paper explores the technical framework for forest health assessment, and then focuses on how to better execute the evaluation part of this technical framework. Modular neural networks (MNN) have been shown to be more efficient for classification problems than the conventional monolithic artificial neural network. Therefore, this was used in the evaluation part of this technical framework. Unfortunately, the conventional back propagation (BP) algorithm which is commonly used to train each single artificial neural network (ANN) in MNN has slow convergence speed and the local minimum. To solve this issue, the artificial bee colony (ABC) algorithm is introduced. By combining the robust global searching ability of ABC algorithm with the strong nonlinear mapping and learning ability of BP algorithm, the hybrid ABC-BP algorithm was adopted as the learning algorithm of each single ANN in MNN. In summary, this paper presents a new model of MNN based on the hybrid ABC-BP algorithm (ABC-MNN, for short) to be used for forest health assessment. Its effectiveness is supported and illustrated in the accompanying experimental results.

A Forest Health Assessment Method Based on ABC-MNN

On the basis of summing up implementation goal and effectiveness of the Yangtze River protection forest system project for twenty years,analysis and evaluation were made of the basic thinking and keystones of sustainable management,sustainable development,and the subsequent implementation according to the project itself and external conditions.

Sustainable Evaluation of the Implementation of the Yangtze River Protection Forest System Project

Forest health is a new theory, which was established in practice of managing forest ecosystem and resourcesThe connotation of forest health was discussed in this paper,five aspects of forest health theory were analyzedBased on the current main problems for forest health in China,the assessment indicator system for regional forest health was preliminarily put forward

Zhou Li-jiang

Papers

Sustainable Evaluation of the Implementation of the Yangtze River Protection Forest System Project

Discussion on Forest Health Connotation and its Assessment Indicators