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Chinese Journal of Applied Ecology ›› 2023, Vol. 34 ›› Issue (11): 3135-3143.doi: 10.13287/j.1001-9332.202311.027

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Research progress on productivity of mixed forest.

YIN Zaifang1,2, SUN Honggang1*, TAN Zifeng1, LIU Wei3   

  1. 1Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China;
    2Nanjing Forestry University, Nanjing 210037, China;
    3Hunan Mount Paradise Scenic Spot Management Office, Changning 421500, Hunan, China
  • Received:2023-08-20 Revised:2023-09-20 Online:2023-11-15 Published:2024-05-15

Abstract: One of the effective ways to improve the productivity of mixed forests is enhancing resource use efficiency based on the biological characteristics of afforestation tree species. Resource use efficiency is affected by tree species interactions and environmental conditions through applying appropriate cultivation patterns. In this study, we evaluated two estimating methods for the productivity of mixed forest, analyzed the internal mechanism of interspecific tree competition and complementary effects on mixed forest productivity, clarified external factors of growth space and habitat factors control over productivity of mixed forest, discussed the effects of tree species composition, stand density and site quality on productivity, and illustrated the productivity trajectory during the development of mixed forests. Finally, based on the knowledge of the internal mechanism and habitat factors affecting the formation of mixed forest productivity, we focused on the key scientific issues that urgently need to be solved in the construction of the current mixed forests cultivation patterns, and put forward future research directions, including improving the productivity estimation system, establishing long-term mixed forest observation field, enhancing the research on the comprehensive effect of various cultivation measures, and reinforcing research of the growth and development dynamics in mixed forests.

Key words: mixed forest, forest productivity, interspecific interaction, complementarity, environmental factor, cultivation measure