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The effects of species-composition-oriented silviculture on timber value and carbon – a stand-level case study in subtropical China
Australian Forestry ( IF 2.1 ) Pub Date : 2022-01-11 , DOI: 10.1080/00049158.2021.2019925
X. Zhang 1, 2 , S. Wu 1 , S. Liu 3 , X. Zhang 4, 5 , M. J. Lexer 6 , P. Zhang 7 , J. Zou 8
Affiliation  

ABSTRACT

Species selection and composition in afforestation affect forest characteristics, which, in turn, affect the quality and quantity of ecosystem services a forest provides to society. Trade-offs and synergies among the various forest goods and services are key issues in multipurpose forest management. In this study, we propose a stand-level integrated analysis framework applying the dynamic forest simulator PICUS v1.5 and techno-economic analysis to assess the effects of a range of species-composition-oriented silvicultural options on timber value and carbon sequestration in subtropical China. The aim is to inform stakeholders on the costs and benefits of the stand-level options. Taking Pinus massoniana and Castanopsis hystrix to represent dominant native conifers and broadleaves, respectively, in subtropical China, five typical silvicultural options were studied: P. massoniana monoculture with normal and high density (stems ha−1); C. hystrix pure stands; and even-aged and uneven-aged mixtures of both species. Results indicate that the uneven-aged mixture performed better in carbon sequestration than the other four options. The even-aged mixture showed better combined benefits of timber production and carbon sequestration and additional advantages in balancing long- and short-term benefits over 50 years. Furthermore, the even-aged mixture had the strongest adaptability to market fluctuations. The uneven-aged mixture performed best economically among the five options in scenarios of future higher timber prices. The results will inform stakeholders about the performance of stand-level silvicultural options with respect to revenues and environmental benefits to society.

更新日期:2022-01-11
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