The Estimation of Carbon Storage and Volume in Forest Stands: A Model Incorporating Species Composition and Site Quality

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Bibliografski detalji
Izdano u:Forests vol. 16, no. 4 (2025), p. 682
Glavni autor: Hua Weiping
Daljnji autori: Qiu Tian, Jiang Xidian, Pan Junzhong, Li Baoyin
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MDPI AG
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022 |a 1999-4907 
024 7 |a 10.3390/f16040682  |2 doi 
035 |a 3194610157 
045 2 |b d20250101  |b d20251231 
084 |a 231463  |2 nlm 
100 1 |a Hua Weiping  |u College of Geographic Sciences, Fujian Normal University, Fuzhou 350007, China; hwp@wuyiu.edu.cn 
245 1 |a The Estimation of Carbon Storage and Volume in Forest Stands: A Model Incorporating Species Composition and Site Quality 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a We developed a model for estimating the carbon storage and volume of entire forest stands at the provincial level, aiming to improve the accuracy of regional productivity assessments. Based on data from the branches, roots, leaves, and trunks of eight dominant tree species (grouped by origin) in Fujian Province, combined with plot-level data, we developed a compatible carbon storage estimation model. This model integrates species composition coefficients and uses stand volume as the independent variable. We estimated the model parameters using a combination of the immune evolutionary algorithm and an improved simplex method, which enhances convergence speed and solution stability compared to the traditional version. The accuracy of the model was validated by cross-model validation and concurrent testing. Applying the model to forest stand data from Wuyishan City, we simulated theoretical logging volumes to demonstrate its practical utility. The results demonstrated that the model exhibited high accuracy in fitting the observed data, with reliable predictions of carbon storage and volume across different forest components. In the case study area, the volume was 21.0521 million cubic meters and the carbon storage was 7.3238 million tons, both of which increased with decreasing interval periods. When logging factors were considered, the increases in carbon storage fluctuated as the interval periods increased and were higher than those when logging factors were not considered. This study confirmed that the developed models were effective for predicting land carbon storage and volume, and the simulation method successfully overcame the challenges associated with model estimation. 
651 4 |a Fujian China 
651 4 |a China 
653 |a Datasets 
653 |a Logging 
653 |a Forestry 
653 |a Simplex method 
653 |a Species composition 
653 |a Plantations 
653 |a Independent variables 
653 |a Plant species 
653 |a Forests 
653 |a Carbon sequestration 
653 |a Evolutionary algorithms 
653 |a Accuracy 
653 |a Forest management 
653 |a Dominant species 
653 |a Branches 
653 |a Trees 
653 |a Carbon 
653 |a Composition 
653 |a Estimation 
653 |a Environmental 
700 1 |a Qiu Tian  |u Department of College of Ecology and Resource Engineering, Wuyi University, Wuyishan 354300, China; qiutian@wuyiu.edu.cn 
700 1 |a Jiang Xidian  |u Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China; fujianjxd@163.com 
700 1 |a Pan Junzhong  |u Fujian Forestry Survey and Planning Institute, Fuzhou 350003, China; junzhongpan@163.com 
700 1 |a Li Baoyin  |u College of Geographic Sciences, Fujian Normal University, Fuzhou 350007, China; hwp@wuyiu.edu.cn 
773 0 |t Forests  |g vol. 16, no. 4 (2025), p. 682 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3194610157/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3194610157/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3194610157/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch