Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan
Konishii fir (<i>Cunninghamia konishii</i> 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 Hui...
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MDPI AG
2021-10-01
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| Online Access: | https://www.mdpi.com/1999-4907/12/10/1406 |
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| author | Minhas Hussain Zheng-Rong Lin Tian-Ming Yen Chih-Chuan Lin |
| author_facet | Minhas Hussain Zheng-Rong Lin Tian-Ming Yen Chih-Chuan Lin |
| author_sort | Minhas Hussain |
| collection | DOAJ |
| description | Konishii fir (<i>Cunninghamia konishii</i> 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 <i>t</i>-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 m<sup>3</sup> ha<sup>−1</sup>, 203.25 ± 52.79 Mg ha<sup>−1</sup>, and 100.85 ± 26.30 Mg ha<sup>−1</sup> by DDM; and 555.90 ± 145.42 m<sup>3</sup> ha<sup>−1</sup>, 209.10 ± 51.25 Mg ha<sup>−1</sup>, and 103.78 ± 25.51 Mg ha<sup>−1</sup> 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. |
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| spelling | doaj.art-1eb2ba8facb844c2a1b80bfd9429d9482023-11-22T18:19:11ZengMDPI AGForests1999-49072021-10-011210140610.3390/f12101406Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central TaiwanMinhas Hussain0Zheng-Rong Lin1Tian-Ming Yen2Chih-Chuan Lin3Department of Forestry, National Chung Hsing University, No. 145, Xingda Rd., Taichung 40227, TaiwanDepartment of Forestry, National Chung Hsing University, No. 145, Xingda Rd., Taichung 40227, TaiwanDepartment of Forestry, National Chung Hsing University, No. 145, Xingda Rd., Taichung 40227, TaiwanExperimental Forest Management Office, National Chung Hsing University, No. 145, Xingda Rd., Taichung 40227, TaiwanKonishii fir (<i>Cunninghamia konishii</i> 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 <i>t</i>-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 m<sup>3</sup> ha<sup>−1</sup>, 203.25 ± 52.79 Mg ha<sup>−1</sup>, and 100.85 ± 26.30 Mg ha<sup>−1</sup> by DDM; and 555.90 ± 145.42 m<sup>3</sup> ha<sup>−1</sup>, 209.10 ± 51.25 Mg ha<sup>−1</sup>, and 103.78 ± 25.51 Mg ha<sup>−1</sup> 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.https://www.mdpi.com/1999-4907/12/10/1406Huisun Experimental Forest Stationdiameter distribution modelWeibull functionKonishii fir (<i>Cunninghamia konishii</i> Hayata)aboveground biomass accumulationaboveground carbon storage |
| spellingShingle | Minhas Hussain Zheng-Rong Lin Tian-Ming Yen Chih-Chuan Lin Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan Forests Huisun Experimental Forest Station diameter distribution model Weibull function Konishii fir (<i>Cunninghamia konishii</i> Hayata) aboveground biomass accumulation aboveground carbon storage |
| title | Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan |
| title_full | Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan |
| title_fullStr | Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan |
| title_full_unstemmed | Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan |
| title_short | Application of Models to Predict Stand Volume, Aboveground Biomass Accumulation, and Carbon Storage Capacity for a Konishii Fir (<i>Cunninghamia konishii</i> Hayata) Plantation in Central Taiwan |
| title_sort | application of models to predict stand volume aboveground biomass accumulation and carbon storage capacity for a konishii fir i cunninghamia konishii i hayata plantation in central taiwan |
| topic | Huisun Experimental Forest Station diameter distribution model Weibull function Konishii fir (<i>Cunninghamia konishii</i> Hayata) aboveground biomass accumulation aboveground carbon storage |
| url | https://www.mdpi.com/1999-4907/12/10/1406 |
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