Bài báo sử dụng số liệu thu thập từ 15 ô tiêu chuẩn định vị rừng trồng thuần loài thông Hàn Quốc (Pinus koraiensis) tại lâm trường Mộng Gia Cương, Đông Bắc Trung Quốc, thông qua một số phương pháp phân tích tương quan và mô hình hồi quy để làm rõ mối quan hệ giữa chỉ số cạnh tranh với sinh trưởng, tăng trưởng của cây riêng lẻ. | Ảnh hưởng của cạnh tranh cùng loài đến sinh trưởng của cây ở rừng trồng thông Hàn Quốc TAP CHI SINH HOC 2020, 42(1): 1–10 DOI: THE IMPACT OF INTRASPECIFIC COMPETITION ON TREE GROWTH IN PLANTED KOREAN PINE FOREST Nguyen Thanh Tuan1,*, Vu Dinh Duy2, Shen H-L3 1 Vietnam Forestry University-Dongnai Campus, Vietnam 2 Institute of Tropical Ecology, Vietnam-Russia Tropical Centre 3 School of Forestry, Northeast Forestry University, . China Received 20 September 2019, accepted 3 March 2020 ABSTRACT The aim of this study was to explore the correlation of competition indices (CIs) on individual tree growth for Korean pine (Pinus koraiensis) plantation using partial correlation analysis and generalized linear models. The data were collected from 15 permanent plots in Mengjiagang forestry farm, Northeast China. The results showed that the distance dependent CIs have a higher predictive capacity for individual growth of pine trees. The control index of competitive trees number (CI1) combined with the selection fixed competitor trees (M2) was found to be the most well correlated competition measure with five - years diameter increment. Thus, the competition index (CI1- M2) was recommended for developing individual tree growth models. The subject tree diameter at breast height, crown width, height to crown base, tree volume and basal area all showed a significantly linear correlation with tree competition intensity (P < 0,05). Diameter at breast height, crown width, tree volume and basal area all decreased with increasing competition intensity, whereas the height to crown base increased. There was no significant relationship between competition intensity and tree height (P > 0,05). The optimal model of predicting individual growth with logarithm of diameter at breast height and CIs as the independent variables due to the best fitting performance. This results also .
