集约化森林采伐对立地生产力的营养影响

W.J. Dyck, C.A. Mees
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引用次数: 14

摘要

如果我们要管理森林以实现持续的产量,预测采伐做法对场地长期生产力的影响至关重要。需要进行长期的实地试验,以准确地确定各种收获做法的后果,并应通过计算机模型或场址分类系统将这种试验的信息推广到其他场址。然而,由于我们缺乏对影响现场生产力的几个关键过程的了解,目前森林管理者对计算机模型的使用受到限制,迫切需要对这些过程进行更多的研究。遗址分类系统在扩展经验实地试验和过程研究的结果方面具有潜在的应用,应考虑作为管理工具使用。国际合作研究项目提供了良好的机制,以迅速提高我们对森林生态系统动态的理解,并提高我们预测采伐做法对长期现场生产力的影响的能力。
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Nutritional consequences of intensive forest harvesting on site productivity

Predicting the effects of harvesting practices on long-term site productivity is crucial if we are to manage forests for sustained yield. Long-term field trials are required to accurately determined the consequences of various harvesting practices, and the information from such trials should be extended to other sites through computer models or site classification systems. However, the use of computer models by forest managers is currently limited by our lack of knowledge of several key processes that influence site productivity, and there is an urgent need for more research on these processes. Site classification systems have potential application for extending results from empirical field trials and process studies, and should be considered for use as management tools. International collaborative research projects provide excellent mechanisms to rapidly advance our understanding of forest ecosystem dynamics and to enhance our ability to predict the consequences of harvesting practices on long-term site productivity.

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