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利用定量和定性分析相结合的方法构建了东洞庭湖区域森林生态系统健康预警指标体系,通过样本训练、新样本模拟仿真,建立了BP神经网络预警模型,并利用该模型对东洞庭湖区域森林生态系统健康进行预警预测。结果表明:1)BP神经网络预警模型,拟合效果较好,用于森林生态健康预警是可行的;2)东洞庭湖区域森林生态系统整体处于蓝色和黄色警戒内,健康状况中等,需采取必要的健康经营方法。
The index system of forest ecosystem health warning in East Dongting Lake was constructed by combining quantitative and qualitative analysis. By means of sample training and new sample simulation, an early warning model of BP neural network was set up. By using this model, Ecosystem health early warning forecast. The results show that: 1) The BP neural network early-warning model has a good fitting effect and is feasible for early warning of forest ecological health; 2) the overall Dongtingting Lake forest ecosystem is under blue and yellow vigilance, Take the necessary health management methods.