当前位置: X-MOL 学术J. For. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modelling the site index of Pinus pinaster plantations in Turkey using ecological variables
Journal of Forestry Research ( IF 3 ) Pub Date : 2020-04-06 , DOI: 10.1007/s11676-020-01113-x
Cezmi Özel , Şükrü Teoman Güner , Mehmet Türkkan , Selda Akgül , Özdemir Şentürk

The determination of site productivity in forest ecosystems plays a crucial role in resource management. This study was carried out to identify relationships between site characteristics and height growth of Corsican maritime pine (Pinus pinaster Ait.) plantations in Turkey. Sixty-nine sample plots > 20 years of age were selected from locations with different inclinations, aspects, elevations, slope positions and site class. Soil samples were taken at various depths. Height and age were measured on a dominant tree after felling in each plot. Physical and chemical properties of the soil were determined. Relationships between site index (SI25) and physiographic factors, climatic attributes as well as soil properties were evaluated using correlation analysis and multiple regression analysis. Site index was significantly related with annual precipitation, mean spring rainfall, rainfall June to September, rainfall of the driest month, length of the dry period, mean maximum temperature, mean temperature of the warmest month, stoniness of the soil, sand, silt, clay, pH, electrical conductivity, and available water capacity. Multiple regression accounted for 57.9% of variations in height growth. The models obtained can be used to determine the site index of potential areas in Turkey for maritime pine. It can be said that the productivity of maritime pine may decline in the future due to global climate change.



中文翻译:

利用生态变量模拟土耳其松树人工林的立地指数

森林生态系统中站点生产力的确定在资源管理中起着至关重要的作用。进行这项研究是为了确定土耳其科西嘉岛海松(Pinus pinaster Ait。)人工林的立地特征与高度生长之间的关系。从年龄,倾斜度,坡度,坡度和地点类别不同的​​地点中选取了年龄大于20岁的69个样地。在不同深度采集土壤样品。在每个地块砍伐后,在优势树上测量身高和年龄。确定了土壤的物理和化学性质。网站索引之间的关系(SI 25),并使用相关分析和多元回归分析评估了地理因素,气候属性以及土壤特性。站点指数与年降水量,春季平均降雨量,6月至9月的降雨量,最干燥月份的降雨量,干燥期的长度,平均最高温度,最温暖月份的平均温度,土壤的泥土,沙子,淤泥,粘土,pH,电导率和可用水容量。多元回归占身高增长变化的57.9%。所获得的模型可用于确定土耳其海松的潜在区域的地点指数。可以说,由于全球气候变化,未来海松的生产力可能会下降。

更新日期:2020-04-06
down
wechat
bug