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首页> 外文期刊>Scandinavian Journal of Forest Research >Relationship between site index of oriental spruce [Picea orientalis (L.) Link] and ecological variables in Macka, Turkey
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Relationship between site index of oriental spruce [Picea orientalis (L.) Link] and ecological variables in Macka, Turkey

机译:土耳其Macka东方云杉[Picea Orientalis(L.)Link]的位点指数与生态变量之间的关系

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摘要

Oriental spruce [Picea orientalis (L.) Link] is a species native to Turkey, covering about 350,000 ha. The species is of great importance to the production of timber as well as to the creation of social welfare in eastern Black Sea region. There are few studies about ecological variables affecting oriental spruce site productivity. Based on data from 90 sample plots, multiple regression models were developed using topographic, edaphic, soil nutrients, climatic subgroups and all factors integrated. Within the different subgroups of site factors, the integrated model with all ecological variables provided the best statistical results, which explained 77% of index variation. Other topographic, edaphic, soil nutrients and climatic subgroup models were enumerated by the success of modelling site index of oriental spruce from the related site variables. The results show that the integrated model is more successful than the models developed separately for each ecological variable. However, the integrated model included 12 different variables and thus the assessment of some of these model variables, e. g. element content of the soil (Ca (2+), Mg (2+), etc.), require potentially laborious soil analyses and costly applications. Therefore, the topographic model with only three variables (R-2 = 0.656), which can be assessed directly from digital maps by Geographical Information System (GIS), seems to be more promising and convenient, since the model can be easily applied to large areas. The results can be translated into practical recommendations to forest managers for selecting suitable site conditions for oriental spruce.
机译:东方云杉[Picea Orientalis(L.)Link]是土生土长的土耳其种,占地约350,000公顷。该物种对于黑海东部地区的木材生产以及社会福利的创造都非常重要。关于影响东方云杉站点生产力的生态变量的研究很少。基于90个样地的数据,使用地形,土壤,土壤养分,气候亚组和所有综合因素开发了多个回归模型。在不同的场所因素亚组中,具有所有生态变量的集成模型提供了最佳的统计结果,这解释了77%的指数变化。通过相关站点变量对东方云杉的站点指数建模的成功,列举了其他地形,土壤,土壤养分和气候亚组模型。结果表明,集成模型比针对每个生态变量单独开发的模型更为成功。但是,集成模型包括12个不同的变量,因此评估了其中一些模型变量,例如。 G。土壤中的元素含量(Ca(2 +),Mg(2+)等)需要进行潜在的费力的土壤分析和昂贵的应用。因此,只有三个变量(R-2 = 0.656)的地形模型可以通过地理信息系统(GIS)直接从数字地图中进行评估,因此似乎更具希望和便利性,因为该模型可以轻松地应用于大型地区。结果可以转化为对森林经营者的实用建议,以便为东方云杉选择合适的场地条件。

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