Modelling the site index of Pinus pinaster plantations in Turkey using ecological variables

作     者：Cezmi Özel ŞükrüTeoman Güner Mehmet Türkkan Selda Akgül Özdemir Şentürk Cezmi Özel;Sükrü Teoman Güner;Mehmet Türkkan;Selda Akgül;Özdemir Sentürk

作者机构：Research Institute for Forest Soil and EcologyEskisehirTurkey Southwest Anatolian Forest Research InstituteAntalyaTurkey Poplar and Fast Growing Forest Trees Research InstituteKocaeliTurkey Gölhisar Vocational SchoolBurdur Mehmet Akif Ersoy UniversityBurdurTurkey 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2021年第32卷第2期

页      面：589-598页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 09[农学] 0829[工学-林业工程] 0903[农学-农业资源与环境] 0901[农学-作物学] 

基　　金：funded by the Turkish General Directorate of Forestry as part of the project“Relationship between growth of maritime pine(Pinus pinaster Ait.)plantations and site characteristics in Turkey[ESK‒27(6319)]”. 

主　　题：Pinus pinaster Afforestation Ecology Site index 

摘      要：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 plots20 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(SI 25)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.