GIS model for riparian forest management in Ontario emulating post-fire residual forest patterns**

森林工业面临的挑战是以合理的成本从不断减少的土地上获得必要的锯材和木材纤维，并遵守维持生态系统完整性的一般森林管理政策。我们认为，通过模拟自然干扰模式（ENDP），可以在保护生物多样性和生态系统功能的同时，最大限度地获取木材纤维。为了取得成功，迫切需要一种可靠的方法来定位和绘制自然扰动模式，例如火灾后残余森林。在拟议的研究中，将开发一个基于地理信息系统的模型来预测岸线残余森林的模式，该模式将模拟岸线的自然干扰模式，可用于保护生态敏感的河岸地区以及定位选择性采伐的机会的双重目的。我们的预测GIS模型将使Resolute林地管理者能够基于地形、水文、植被和其他景观特征开发新的岸线森林管理策略，从而更好地模拟自然干扰模式，并帮助划定生态敏感的河岸区域。该模型的应用将实现栖息地保护和经济权衡的平衡方法，而不像目前维持固定宽度缓冲区的做法，不考虑陆地-水界面的生态复杂性。这项研究的结果将通过促进以水文为基础的岸线森林管理战略，从而直接使全国的森林工业受益，这些战略将促进以生态为基础的采伐以及保护河岸栖息地和生物完整性。

Forest industries are faced with the challenge of obtaining necessary saw logs and wood fiber from decreasing landbase at a reasonable cost and complying with the general forest management policy of maintaining the ecosystem integrity. It is believed that careful harvesting of trees in shoreline areas is possible through emulating natural disturbance pattern (ENDP), that will maximize wood fiber procurement while conserving biodiversity and ecosystem functions. To be successful there is a critical need for a reliable method of locating and mapping the natural disturbance patterns, for example post-fire residual forests. In the proposed study a GIS-based model will be developed to predict shoreline residual forest patterns that would emulate natural disturbance patterns in the shorelines which can be used for the dual purpose of protecting ecologically sensitive riparian areas as well as locating opportunity for selectively harvesting. Our predictive GIS model, will enable Resolute Woodland manager develop new shoreline forest management strategies based on topography, hydrology, vegetation, and other landscape characteristics, which better emulate natural disturbance patterns and help delineate the ecologically sensitive riparian areas. Application of the model will achieve a balanced approach of habitat protection and economic trade-off unlike the current practice of maintaining fixed-width buffers that do not consider the ecological complexity of the land-water interface. The outcome of this research will directly benefit the forest industries across the country by contributing to hydrology-based shoreline forest management strategies that will facilitate ecologically based harvesting as well as conservation of riparian habitat and biotic integrity.