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学者姓名：江希钿
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Abstract ：
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.
Keyword ：
carbon storage carbon storage forest modeling forest modeling simulation calculation method simulation calculation method species composition coefficients species composition coefficients stand volume stand volume
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| GB/T 7714 | Hua, Weiping , Qiu, Tian , Jiang, Xidian et al. The Estimation of Carbon Storage and Volume in Forest Stands: A Model Incorporating Species Composition and Site Quality [J]. | FORESTS , 2025 , 16 (4) . |
| MLA | Hua, Weiping et al. "The Estimation of Carbon Storage and Volume in Forest Stands: A Model Incorporating Species Composition and Site Quality" . | FORESTS 16 . 4 (2025) . |
| APA | Hua, Weiping , Qiu, Tian , Jiang, Xidian , Pan, Junzhong , Li, Baoyin . The Estimation of Carbon Storage and Volume in Forest Stands: A Model Incorporating Species Composition and Site Quality . | FORESTS , 2025 , 16 (4) . |
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The Chinese fir (Cunninghamia lanceolata) is the largest tree species used for afforestation in China. The purpose of this study was to explore the effects of site quality, stand density, and tree species composition on the growth and yield of mixed Chinese fir forests and to build prediction models for their stand average DBH (diameter at breast height), average height, and volume. Using 430 plots of mixed Chinese fir forests in the Fujian Province of China, the optimal base models for predicting stand average DBH, average height, and volume were selected from the Schumacher, Korf, Logistic, Mitscherlich, and Richards equations. On this basis, the site class index (SCI), stand density index (SDI), and tree species composition coefficient (TSCC) were introduced to improve the model's performance, and the applicability of the different models was evaluated. The optimal base models for the average DBH, average height, and stand volume of mixed Chinese fir forests all used the Richards equation. The best fitting effect was obtained when the SCI was introduced into parameter a in the average height model, while the inclusion of the TSCC did not improve the model significantly. The fitting effects of the average DBH and stand volume models were both best in the form of y=a1SCIa2[1-exp(-b1SDIb2)t]c when the SCI and SDI were introduced. When the TSCC was further included, the fitting effects of the stand average DBH and volume models were significantly improved, with their R2 increased by 47.47% and 58.45%, respectively, compared to the base models. The optimal models developed in this study showed good applicability; the residuals were small and distributed uniformly. We found that the SCI had an impact on the maximum values of the stand average DBH, average height, and volume; the SDI was closely related to the growth rate of the diameter and volume, while the TSCC influenced the maximum values of the stand average DBH and volume. The model system established in this study can provide a reference for the harvest prediction and mixing ratio optimization of mixed Chinese fir forests.
Keyword ：
Chinese fir Chinese fir growth model growth model mixed forests mixed forests site class index site class index stand density index stand density index
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| GB/T 7714 | Pan, Xin , Sun, Shuaichao , Hua, Weiping et al. Predicting the Stand Growth and Yield of Mixed Chinese Fir Forests Based on Their Site Quality, Stand Density, and Species Composition [J]. | FORESTS , 2023 , 14 (12) . |
| MLA | Pan, Xin et al. "Predicting the Stand Growth and Yield of Mixed Chinese Fir Forests Based on Their Site Quality, Stand Density, and Species Composition" . | FORESTS 14 . 12 (2023) . |
| APA | Pan, Xin , Sun, Shuaichao , Hua, Weiping , Li, Jun , Zhuang, Chongyang , Jiang, Xidian . Predicting the Stand Growth and Yield of Mixed Chinese Fir Forests Based on Their Site Quality, Stand Density, and Species Composition . | FORESTS , 2023 , 14 (12) . |
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【目的】探究林木资产经济价值核算方法，解决森林资源资产评估技术中存在的问题，科学、合理、公正地计算林木资产价格，为森林资源资产评估提供技术支撑。【方法】以杉木人工林、马尾松人工林、马尾松天然林、硬阔叶树人工林、天然硬阔叶树林和桉树人工林为研究对象，利用收获现值法和科夫蓄积量生长方程构建一种乔木林可变利率林木价格评估模型，采用实测样地数据经Matlab软件估算模型参数，用剩余标准差(SEE)、总相对误差(TRE)、平均系统误差(MSE)、平均相对误差绝对值(MPSE)、平均预估精度(MPE)等指标评价模型的适用性，在固定利率4%下与重置成本法、收获现值法、市场价倒算法等传统评估方法的计算结果进行比较与分析。【结果】(1)建立的6种树种(组)科夫蓄积量生长模型的适用性评价指标SEE和MPSE均小于10%,TRE和MSE均在±10%范围内，MPE均小于3%,表明模型精度较高，可用于森林资源资产的评估。(2)乔木林可变利率林木价格评估模型经迭代计算后，得到杉木人工林、马尾松人工林、马尾松天然林、硬阔叶树人工林、天然硬阔叶树林、桉树人工林的利率分别为7.5%,6.6%,5.7%,5.8%,5.3%和7.9%。(3)与传统评估方法相比，采用乔木林可变利率林木价格评估模型计算的6种树种(组)的林木价格均随林分年龄增大而增加，符合林木价格与年龄之间的正常关系。(4) 6种树种(组)各龄组采用可变利率模型计算的林木价格均表现为高龄组大于低龄组，而各龄组采用固定利率模型计算的林木价格仅在森林成熟龄较小的杉木和桉树人工林2种林分中未出现倒挂现象，其他树种(组)均出现不合理的倒挂问题。【结论】乔木林可变利率林木价格评估模型解决了林木资产评估过程中各龄组林木因评估方法不同造成的评估结果不衔接问题，实现了与重置成本法、收获现值法和市场价倒算法估价结果的相容。
Keyword ：
乔木林 乔木林 可变利率 可变利率 林木价格评估模型 林木价格评估模型 林木资产评估 林木资产评估 科夫生长方程 科夫生长方程
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| GB/T 7714 | 华伟平 , 武健伟 , 于丽瑶 et al. 乔木林可变利率林木价格评估模型的构建 [J]. | 西北农林科技大学学报(自然科学版) , 2023 , 51 (05) : 49-58 . |
| MLA | 华伟平 et al. "乔木林可变利率林木价格评估模型的构建" . | 西北农林科技大学学报(自然科学版) 51 . 05 (2023) : 49-58 . |
| APA | 华伟平 , 武健伟 , 于丽瑶 , 吴承祯 , 庄崇洋 , 池上评 et al. 乔木林可变利率林木价格评估模型的构建 . | 西北农林科技大学学报(自然科学版) , 2023 , 51 (05) , 49-58 . |
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【目的】明晰杉木主伐林分的材种结构规律并构建合理的林分出材率模型，为我国杉木人工林木材产量提高、营林技术提升以及经营方案优化提供科学依据。【方法】根据福建省6个国有林场近15年的杉木人工林492块伐区调查数据，选用林分平均胸径、平均高、年龄、蓄积量、密度、立地质量等林分因子，探讨林分规格材、非规格材、经济材、薪材、商品材、废材6种材种出材率对各因素的响应。在此基础上筛选影响材种出材率的主要林分因子，构建杉木主伐林分材种出材率模型，并对模型进行适用性评价。【结果】杉木主伐林分的各林分因子中，林分平均胸径和平均高对各材种出材率的影响最大，且远高于其他林分因子，其次为林分蓄积量、年龄和密度，立地质量的影响相对较小。以林分平均胸径和平均高为自变量构建杉木主伐林分的规格材、经济材、薪材出材率模型，模型拟合及检验效果均良好，以此为基础构建非规格材、商品材、废材出材率模型。对不同径阶的各材种出材率模型进行预测误差计算，预测误差均较小，且误差分布较为均匀。【结论】本研究揭示了杉木主伐林分的材种结构规律及其影响因子，建立的出材率模型体系可用于杉木主伐林分的出材率测算，为杉木人工林合理生产计划的制定提供支持。
Keyword ：
出材率 出材率 杉木 杉木 材种结构 材种结构 林分密度 林分密度 立地质量 立地质量
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| GB/T 7714 | 潘昕 , 李骏 , 孙帅超 et al. 杉木主伐林分材种结构及其出材率模型研建 [J]. | 北京林业大学学报 , 2023 , 45 (08) : 84-93 . |
| MLA | 潘昕 et al. "杉木主伐林分材种结构及其出材率模型研建" . | 北京林业大学学报 45 . 08 (2023) : 84-93 . |
| APA | 潘昕 , 李骏 , 孙帅超 , 陈明华 , 华伟平 , 江希钿 . 杉木主伐林分材种结构及其出材率模型研建 . | 北京林业大学学报 , 2023 , 45 (08) , 84-93 . |
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林地是重要的林业生产资料，科学合理地划分林地等级，能够真实、全面地反映林地的质量差异，为政府宏观调控林地市场和加强林地管理提供决策依据。以标准林分蓄积量为森林潜在生长力评价要素，划分林地质量等级，构建与林地质量分等指标有关的森林潜在生产力评价模型，采用LM—UGO法估算参数，选用相关系数、均方差、残差平方和、卡方检验评价模型拟合优度，并以武夷山市和武夷山国家公园森林资源为案例开展林地质量分等应用。结果表明：1)建立的森林潜在生产力评价模型，相关系数0.966、均方差1.726、残差平方和286.095、卡方检验33.898,确定的年均气温、年均降水量、腐殖质层厚度、土层厚度、坡度、坡位等6个林地分等指标因子的权重分别为0.08,0.22,0.27,0.26,0.10,0.07。2)依据连年生长量和平均生长量，确定林地质量分等的基准年龄为20 a。3)武夷山市和武夷山国家公园林地质量等级以3,4等级占比较大，1等级最少，林地潜在生长水平处于中等水平；各等级面积占比与海拔(地貌)关系显著，呈幂函数或多项式关系。构建与林地质量分等指标有关的森林潜在生产力评价模型，可以避免层次分析法、灰色关联分析法等经典决策分析方法确定指标因子权重的主观性问题。
Keyword ：
林地等级 林地等级 林地质量评价 林地质量评价 森林潜在生产力 森林潜在生产力 武夷山国家公园 武夷山国家公园 武夷山市 武夷山市 评价模型 评价模型
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| GB/T 7714 | 华伟平 , 武健伟 , 于丽瑶 et al. 基于森林潜在生产力评价模型的林地分等及应用 [J]. | 林业资源管理 , 2023 , (03) : 29-37 . |
| MLA | 华伟平 et al. "基于森林潜在生产力评价模型的林地分等及应用" . | 林业资源管理 03 (2023) : 29-37 . |
| APA | 华伟平 , 武健伟 , 于丽瑶 , 王雅楠 , 吴承祯 , 庄崇洋 et al. 基于森林潜在生产力评价模型的林地分等及应用 . | 林业资源管理 , 2023 , (03) , 29-37 . |
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In order to clarify the combined impact of tree species composition, site quality, and stand age on the growth and harvest of mixed forests, the prediction models of average DBH and stand volume for mixed forests were established, respectively. The interval period and tree species composition coefficient (TSCC) were considered as independent variables. These models were then optimized by using the particle swarm optimization algorithm for reparameterization and evaluating their applicability. It was found that after introducing the site quality grade and TSCC, the average stand height prediction model showed a better fitting result. The fit accuracy of the average DBH prediction model and the stand volume prediction model were both improved with the help of the TSCC, mainly because the tree species composition affects the growth rate of the average stand height and average DBH and the maximum growth rate of the stand volume. The degree of the impact can be sorted as Cunninghamia lanceolata > Pinus massoniana > hard broad-leaved tree species (group). Overall, the established growth and harvest prediction models for mixed forests with the interval period and TSCC as independent variables have high fit accuracy and applicability.
Keyword ：
composition coefficient composition coefficient dummy variable dummy variable interval period interval period mixed forest mixed forest particle swarm optimization particle swarm optimization stand growth model stand growth model
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| GB/T 7714 | Hua, Weiping , Pan, Xin , Zhu, Dehuang et al. Developing Growth and Harvest Prediction Models for Mixed Coniferous and Broad-Leaved Forests at Different Ages [J]. | FORESTS , 2023 , 14 (7) . |
| MLA | Hua, Weiping et al. "Developing Growth and Harvest Prediction Models for Mixed Coniferous and Broad-Leaved Forests at Different Ages" . | FORESTS 14 . 7 (2023) . |
| APA | Hua, Weiping , Pan, Xin , Zhu, Dehuang , Wu, Chengzhen , Chi, Shangping , Zhuang, Chongyang et al. Developing Growth and Harvest Prediction Models for Mixed Coniferous and Broad-Leaved Forests at Different Ages . | FORESTS , 2023 , 14 (7) . |
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In order to solve the problem in that the classical forest land expectation value method ignores the actual forest stock volume when assessing the income at the end of the current production cycle in the forest, and fill the research gap in this area, the technical system of the forest land asset evaluation was enriched. The forest land returns were divided into two parts, i.e., the segmented forest land return price from the growth of the actual forest stand to the end of the growth cycle (B-u(1)), and the segmented forest land return price for an infinite number of growth cycles after the growth of the actual forest stand to the end of the growth cycle (B-u(2)). Through structure, the forest land gain price expansion model was obtained, and the stand quality including the average diameter at breast height, average height, stock volume, and outturn of stand as dummy variables were used to construct the growth harvest model related to asset evaluation. Taking Cunninghamia lanceolata forest land as an example, the traditional asset evaluation methods were comparatively analyzed. The residual standard deviation (RSD) of the growth model was less than 10%, the total relative error (TRE) and mean system error (MSE) were within +/- 10%, the mean prediction errors (MPE) were less than 5%, and the mean percentage standard errors (MPSE) were less than 10%, respectively. Combining the forest land net present value expansion model with the traditional evaluation method, the evaluation value of the forest land assets was subsequently calculated, and accordingly, the forest land asset evaluation prime stand factors were predicated. It was found that the valuation results of the forest land net present value expansion model were consistent with the actual situation. The forest land net present value expansion model can therefore be used for asset evaluation of tree forest land (including natural uneven-aged forest land), bamboo forest land, shrub forest land, and economic forest land, and provide new technical support for forest land asset evaluation.
Keyword ：
Cunninghamia lanceolata Cunninghamia lanceolata land net present value expansion model land net present value expansion model woodland asset evaluation woodland asset evaluation
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| GB/T 7714 | Hua, Weiping , Qiu, Tian , Pan, Xin et al. The Extension and Improvement of the Forest Land Net Present Value Model and Its Application in the Asset Evaluation of Cunninghamia lanceolata Forest Land [J]. | SUSTAINABILITY , 2023 , 15 (11) . |
| MLA | Hua, Weiping et al. "The Extension and Improvement of the Forest Land Net Present Value Model and Its Application in the Asset Evaluation of Cunninghamia lanceolata Forest Land" . | SUSTAINABILITY 15 . 11 (2023) . |
| APA | Hua, Weiping , Qiu, Tian , Pan, Xin , Wu, Chengzhen , Zhuang, Chongyang , Chi, Shangping et al. The Extension and Improvement of the Forest Land Net Present Value Model and Its Application in the Asset Evaluation of Cunninghamia lanceolata Forest Land . | SUSTAINABILITY , 2023 , 15 (11) . |
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The stand growth model is the basis for decision-makers of forest management. So far, stand basal area (SBA) and stand volume have been modelled effectively. This paper attempts to reduce the subjective errors in measurement and calculation of SBA and stand volume, and improve the precision of and compatibility between SBA model and stand volume model. Firstly, the data on various parameters were collected from 362 Cryptomeria fortunei Hooibrenk ex Otto et Dietr (Cryptomeria fortunei) trees in southeastern China's Fujian Province. Next, the Richard equation, the Logistic model, and the Mitscherlich model were selected as the basic SBA models, while the Richard equation and the Schumacher model were taken as the basic models of stand volume. Then, optimal basic models were screened by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with entropy weights, using evaluation indices like the determination coefficient (R-2), root mean square error (RMSE), and absolute bias (AB). Finally, the optimal basic models were improved with the simultaneous equations of nonlinear measurement errors. The results show that: the Logistic model achieved an R-2 of 0.8938, an RMSE of 4.3602, and an AB of 3.5581, and the shortest total distance to the optimal solution after being processed by TOPSIS with entropy weights, suggesting that this model is the optimal SBA model; the Schumacher model was confirmed as the optimal stand volume model, with the higher R-2 and lower RMSE and AB; the results of paired ttest show that the SBA and stand volume predicted by the two optimal error models deviated very slightly from the measured results, indicating that they are more compatible and consistent than the basic models. The research results provide a scientific basis for improving the management and value evaluation of Cryptomeria fortunei.
Keyword ：
Cryptomeria fortunei Hooibrenk ex Otto et Dietr (Crypto-meria fortunei) Cryptomeria fortunei Hooibrenk ex Otto et Dietr (Crypto-meria fortunei) entropy weight entropy weight nonlinear measurement error nonlinear measurement error stand growth model stand growth model Technique for order of preference by similarity to ideal solution (TOPSIS) Technique for order of preference by similarity to ideal solution (TOPSIS)
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| GB/T 7714 | Zhang, Weizhi , Tian, Yi , Wu, Hongwei et al. GROWTH MODELS OF Cryptomeria fortunei Hooibrenk ex Otto et Dietr BASED ON SIMULTANEOUS EQUATIONS OF NONLINEAR MEASUREMENT ERRORS [J]. | JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY , 2021 , 22 (1) : 245-253 . |
| MLA | Zhang, Weizhi et al. "GROWTH MODELS OF Cryptomeria fortunei Hooibrenk ex Otto et Dietr BASED ON SIMULTANEOUS EQUATIONS OF NONLINEAR MEASUREMENT ERRORS" . | JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY 22 . 1 (2021) : 245-253 . |
| APA | Zhang, Weizhi , Tian, Yi , Wu, Hongwei , Huang, Guangcan , Zhuang, Chongyang , Jiang, Xidian . GROWTH MODELS OF Cryptomeria fortunei Hooibrenk ex Otto et Dietr BASED ON SIMULTANEOUS EQUATIONS OF NONLINEAR MEASUREMENT ERRORS . | JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY , 2021 , 22 (1) , 245-253 . |
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【目的】为更好地估测福州市湿地松人工林林分断面积生长情况,同时为湿地松人工林的经营提供参考依据。【方法】基于样地调查数据选用理查德方程、逻辑斯蒂、Mitscherlich和Schumacher等基础模型,引入优势木平均高和年龄因子为自变量并将林分密度指数作为密度指标加入到基础断面积模型中。在最优基础模型中引入哑变量,建立可兼用于采脂与未采脂林分的湿地松人工林断面积模型。利用R软件的遗传算法求解模型参数,采用均方差(RMSE)、残差平方和(SSE)、决定系数(R~2)、模型精度(v)和模型准确度(P)等模型评价指标。并运用含熵权值的TOPSIS法对哑变量模型选优,选用的各项评价指标熵权值由其本身数值决定,该方法具有较好的客观性,避免主观因素影响综合评价结果。【结果】4个基础模型的拟合效果均较好,模型决定系数均超过了0.9,其中Schumacher模型为最优基础模型,决定系数达0.983 31,模型精度达98.20%。在该模型中b_3参数中引入哑变量所得模型拟合效果最优,较最优基础模型决定系数提升到0.998 96,模型精度提升到99.37%,距离最优解距离总和最小为0.000 016 7。并对最优哑变量模型做适用性检验,分别检验模型对采脂林分、未采脂林分和总体林分的拟合效果,发现其预估精度均超过99%。根据检验数据断面积实测值和最优哑变量模型预测值建立的线性回归方程,其R~2值达到0.999 2,常数项接近0且残差基本均匀分布于横轴两侧,表明模型预估精度较高。【结论】引入哑变量后模型拟合效果得到了提升,可用于估测采脂与未采脂不同经营措施湿地松林分断面积,为测算湿地松林分材积与规划林分经营模式提供参考。
Keyword ：
含熵权值的TOPSIS 含熵权值的TOPSIS 哑变量 哑变量 林分断面积 林分断面积 湿地松 湿地松 相容性 相容性
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| GB/T 7714 | 吴宏炜 , 张伟志 , 田意 et al. 基于哑变量的湿地松林分断面积生长模型 [J]. | 中南林业科技大学学报 , 2021 , 41 (01) : 117-123,150 . |
| MLA | 吴宏炜 et al. "基于哑变量的湿地松林分断面积生长模型" . | 中南林业科技大学学报 41 . 01 (2021) : 117-123,150 . |
| APA | 吴宏炜 , 张伟志 , 田意 , 严铭海 , 庄崇洋 , 江希钿 . 基于哑变量的湿地松林分断面积生长模型 . | 中南林业科技大学学报 , 2021 , 41 (01) , 117-123,150 . |
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Abstract ：
基于160株木荷样木实测数据,以胸径、树高以及两者的组合变量作为模型的自变量,通过2种方案(总量控制方案与代数和控制方案)非线性度量误差联立方程组估计法,并采用加权回归消除异方差,构建木荷一元、二元独立与相容性生物量模型;基于一元相容性模型,探讨各组分生物量相对于地上总生物量的分配规律.结果 表明:2种方案建立的相容性生物量模型拟合效果与估计精度良好且各组分生物量模型拟合情况基本一致,R2≥0.845、MPE≤4.592％,综合分析采用代数和控制方案较好;在各组分独立模型与相容性模型中,二元生物量模型拟合效果明显优于一元模型,且以D2H为自变量的二元模型最优;2种方案相容性生物量模型各器官生物量分配规律基本相同,随着胸径增大,树干、干材生物量占地上总量比先增大最后趋于稳定,树冠、树皮和树叶生物量占比先减小最后趋于稳定,树枝生物量占比变化不大;当胸径＞30 cm,占比趋于稳定,树干、干材、树皮、树冠、树枝和树叶生物量占比为74.5％ ～ 75.2％、68.9％ ～ 69.2％、5.6％～6.1％、24.8％ ～ 25.4％、21.5％ ～ 22.8％和2.6％ ～ 3.2％.
Keyword ：
木荷 木荷 模型 模型 生物量 生物量 立木 立木 非线性联合估计 非线性联合估计
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| GB/T 7714 | 黄光灿 , 吴宏炜 , 赖建明 et al. 福建木荷地上部分相容性生物量模型研究 [J]. | 西南林业大学学报 , 2020 , 40 (2) : 125-134 . |
| MLA | 黄光灿 et al. "福建木荷地上部分相容性生物量模型研究" . | 西南林业大学学报 40 . 2 (2020) : 125-134 . |
| APA | 黄光灿 , 吴宏炜 , 赖建明 , 张伟志 , 严铭海 , 江希钿 . 福建木荷地上部分相容性生物量模型研究 . | 西南林业大学学报 , 2020 , 40 (2) , 125-134 . |
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