Abstract
Konishii fir (Cunninghamia konishii Hayata) is an important conifer in Taiwan. The purpose of this study was to predict stand volume (V), aboveground biomass accumulation (AGB), and aboveground carbon storage (AGCST) for a Konishii fir plantation. This study was located at the Huisun Experimental Forest Station of Nantou County located in central Taiwan. Four sample plots, each with an area of 0.05 ha, were installed and surveyed from 29 June to 2 July 2020. Two models, the diameter distribution model (DDM) and allometric model (AM), were used to predict V, AGB, and AGCST. Each item predicted by these two models was compared by the paired sample t-test. We employed the Weibull function to quantify stand diameter distribution and this function can effectively quantify diameter distribution, because all plots passed the examination by the Kolmogorov–Smirnov test (non-significant). Therefore, the Weibull function was suitable for developing the DDM. The predicted V, AGB, and AGCST were 538.43 ± 140.52 m3 ha−1, 203.25 ± 52.79 Mg ha−1, and 100.85 ± 26.30 Mg ha−1 by DDM; and 555.90 ± 145.42 m3 ha−1, 209.10 ± 51.25 Mg ha−1, and 103.78 ± 25.51 Mg ha−1 by AM, respectively. Each item was insignificantly different between DDM and AM, indicating similarity in results for both predictions. Meanwhile, using DDM is advantageous, as it can provide more yield information in diameter classes; therefore, this approach was recommended for yield prediction of the Konishii fir plantation.
Highlights
From 1991 to 2020, the world total forest cover decreased from 32.35% to31%, the area of planted forests during this period increased by about 72% [1]
diameter distribution model (DDM) could provide more information for predicting V, AGB, and ABCST, this model is subjected to whether the diameter distribution could be quantified by the Weibull function
The Weibull function plays a key role in the framework of DDM, because this model is subject to whether the diameter distribution could be quantified by the Weibull function [18]
Summary
From 1991 to 2020, the world total forest cover decreased from 32.35% to31%, the area of planted forests during this period increased by about 72% [1]. The diameter distribution model (DDM) is another approach that could be used to predict CST [18]. The Weibull function is one of the important diameter distribution functions that can validly quantify various shapes of diameter distribution, and its parameters help to explain the curve shapes predicted by this function [22]. This function has been widely employed for quantifying the diameter distribution of various forest types, and satisfactory prediction results were obtained [18,22,23,24,25,26]
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