Application of stand density indices for Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) plantation management
Author:
Lu Lele12, Zhang Bin3, Zhang Jianguo1, Duan Aiguo1, Zhang Xiongqing12
Affiliation:
1. Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration , Research Institute of Forestry, Chinese Academy of Forestry , Beijing , 100091 , P.R. China 2. Collaborative Innovation Center of Sustainable Forestry in Southern China , Nanjing Forestry University , Nanjing , 210037 , P. R. China 3. College of Forestry , Central South University of Forestry and Technology , Changsha , Hunan 410004 , P.R. China
Abstract
Abstract
The most important issues in Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) management are the quantitative determination of stand density and the selection of appropriate density. Different stand density index models have advantages for special tree species, and this study aimed to estimate the carrying capacity of planted stands of Chinese fir and to select simple and reliable stand density indexes. Based on special experiment of different initial density, the maximum carrying capacity was estimated using Reineke’s self-thinning rule, Nilson’s sparsity theory, Beekhuis’s relative-spacing hypothesis, Zhang’s nutrient-competition rule, Curtis’s maximum stand basal area and Hui’s crowding degree based on mean tree distance. The restricted maximum likelihood method (REML) implemented with ‘nlme’ package in R software was used to refine the parameters of thinning age in Richard’s growth model. The results showed that stand density index models can describe the trends of stand density in response to tree growth: the higher the plantation initial density, the earlier age and stronger self-thinning capacity of stands. Reineke’s SDI and Zhang’s Z model are the most stable and suitable to estimate changes in the density of Chinese fir plantations, competition intensification, and the thinning age. The RD model can also be used, except at low Chinese fir densities. K, which can be affected by the mean crown width of trees, directly reflects the forest area of photosynthesis; this index is easy and simple to apply, but more research is needed to optimize the equation to evaluate whether a forest requires management and to determine the appropriate time for the first thinning and its intensity.
Publisher
Walter de Gruyter GmbH
Reference47 articles.
1. Amateis, R.L., Burkhart, H.E. 2012. Rotation-age results from a loblolly pine spacing trial. – Southern Journal of Applied Forestry, 36(1), 11–18. 2. Arisman, H., Kurinobu, S., Hardiyanto, E. 2005. A simple step-wise procedure for predicting stand development of Acacia mangium plantations based on the maximum size-density line in South Sumatra, Indonesia. – Journal of Forest Research, 10(4), 313–318. 3. Arisman, H., Kurinobu, S., Hardiyanto, E. 2004. Minimum distance boundary method, maximum size-density lines for unthinned Acacia mangium plantations in South Sumatra, Indonesia. – Journal of Forest Research, 9(3), 233–237. 4. Beekhuis, J. 1965. Crown depth of radiata pine in relation to stand density and height. – New Zealand Journal of Forestry, 10(1), 43–61. 5. Brunet-Navarro, P., Sterck, F.J., Vayreda, J., Martinez-Vilalta, J., Mohern, G.M.J. 2016. Self-thinning in four pine species, an evaluation of potential climate impacts. – Annals of Forest Science, 73, 1025–1034.
|
|