CHEN Siyu, LIU Xianzhao, WANG Yixiang, et al. Individual tree detection in the high canopy density Larix principis-rupprechtii forest based on airborne LiDAR[J]. Journal of Zhejiang A&F University, 2022, 39(4): 800-806. DOI: 10.11833/j.issn.2095-0756.20210399
Citation: JIE Cheng-yue, XIN Zan-hong, XIN Xiao-ying, et al. Principle,method and application of FORECAST model[J]. Journal of Zhejiang A&F University, 2009, 26(6): 909-915.

Principle,method and application of FORECAST model

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  • Corresponding author: JIANG Hong
  • Publish Date: 2009-12-20
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Principle,method and application of FORECAST model

    Corresponding author: JIANG Hong

Abstract: Mathematical model is an important tool to help scientists and good government policy makers with planning and forecasting. In recent decades,large number of mathematical models,experience models and models based on the process have emerged,and made tremendous contributions to the development of modern ecology. Model of forest ecosystem processes is a very important forestry model. FORECAST is a model based on the process of forest ecosystems stand level. It can simulate a variety of effects that management strategies impose on forests,predict the development trend of the structure and function of the forest ecosystem and help us formulate appropriate management strategies for forest ecosystems optimizing management services. This article makes a simple introduction to the development of FORECAST model,principles,methods and practical applications,and its strengths and limitations.[Ch,2 fig. 1 tab. 14 ref.]

CHEN Siyu, LIU Xianzhao, WANG Yixiang, et al. Individual tree detection in the high canopy density Larix principis-rupprechtii forest based on airborne LiDAR[J]. Journal of Zhejiang A&F University, 2022, 39(4): 800-806. DOI: 10.11833/j.issn.2095-0756.20210399
Citation: JIE Cheng-yue, XIN Zan-hong, XIN Xiao-ying, et al. Principle,method and application of FORECAST model[J]. Journal of Zhejiang A&F University, 2009, 26(6): 909-915.

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