中南林业科技大学学报

杉木Cunnighamia lanceolata 是我国优良速生用材树种，其面积达921 万hm2，占全国人工用材林面积的30.4%。用机理性模型在区域尺度上研究杉木林生产量可为估算杉木林固碳潜力、预测其对气候变化的响应和提高经营管理水平提供科学依据。利用气象、水文、土壤及植物等方面数据，对TRIPLEX 1.6 模型进行参数化，用森林资源调查样地数据对模型进行验证，模拟湖南省杉木林1991 ～ 2040 年生物量与生产力动态变化、空间分布格局。结果表明：模拟值与实测值之间拟合度高（p=0.995），TRIPLEX1.6 模型可应用于模拟亚热带杉木林生长和生产量的动态变化。2010 ～ 2018 年湖南省杉木林生产力（NPP）为迅速增长期，此后NPP 缓慢下降，2008 年所有样地杉木林平均年龄为23 a，单位面积平均NPP 达到最大值（8.09 t·hm-2a-1），2010 ～ 2060 年间平均值为6.96 t·hm-2a-1。

Chinese fir is an excellent fast-growing timber tree species, having a planting area of 921× 104 hm2 and accounting for30.4% of plantation timber-forest area in China. Study on Chinese fir biomass with the mechanism model by regional scale can providea scientific basis for estimating carbon sequestration potential, forecasting the effects of Chinese fir biomass on climate change, andraising the managerial skills. Therefore, the TRIPLEX model was parameterized by using the dataset of climate, hydrology, soil andvegetation, the model was validated with the simulation values of DBH and tree height collected from 702 permanent plots of Chinesefir stands, and the dynamic changes of biomass and productivity, spatial distribution pattern for Hunan in 1991 ～ 2040 were simulated.The results show that the fitting degree of simulation value and the measured value were very high(0.995), thus TRIPLEX 1.6 model canbe applied to simulate the dynamic changes of growth and productivity of Chinese fir productivity is a rapid-increase stage, after thatthe productivity will decrease; the mean-age of all Chinese fir stands are 23-year-old, the average productivity per unit area reached themaximum value in 2008(8.09 t·hm-2a-1), the average value in 2010 ～ 2060 will reach 6.96 t·hm-2a-1.

引言
1 研究区概况
2 模型应用方法和验证
3 结果与分析
4 结论

图1 湖南省的地貌、海拔和土壤特征的空间格局<br/>Fig.1 Spatial distribution pattern of topography, altitude (above mean sea level), and soil in Hunan

图1 湖南省的地貌、海拔和土壤特征的空间格局
Fig.1 Spatial distribution pattern of topography, altitude (above mean sea level), and soil in Hunan

图2 湖南省杉木林林分初始化参数（2009 年森林资源清查资料）<br/>Fig.2 Parameters related to initial status of C. lanceolata forest recorded in 2009 in Hunan

图2 湖南省杉木林林分初始化参数（2009 年森林资源清查资料）
Fig.2 Parameters related to initial status of C. lanceolata forest recorded in 2009 in Hunan

图3 湖南省杉木林2000 ～ 2010 年间的月平均降雨量、气温、霜冻天数以及水汽压差<br/>Fig.3 The monthly average records of precipitation,temperature, frost days, and DVPD from 2000 to 2010 for C. lanceolata forest sites in Hunan

图3 湖南省杉木林2000 ～ 2010 年间的月平均降雨量、气温、霜冻天数以及水汽压差
Fig.3 The monthly average records of precipitation,temperature, frost days, and DVPD from 2000 to 2010 for C. lanceolata forest sites in Hunan

图4 湖南省杉木林2000 ～ 2010 年间的年平均降雨量、气温、霜冻天数以及水汽压差的空间分异格局<br/>Fig.4 Annual average records of precipitation, temperature, frost days, and DVPD from 2000 to 2010 for all C. lanceolata forest sites in Hunan

图4 湖南省杉木林2000 ～ 2010 年间的年平均降雨量、气温、霜冻天数以及水汽压差的空间分异格局
Fig.4 Annual average records of precipitation, temperature, frost days, and DVPD from 2000 to 2010 for all C. lanceolata forest sites in Hunan

图5 湖南省杉木林林分平均胸径（a）及树高（b）的模拟值和观察值的比较<br/>Fig.5 Comparison between simulated and observed stand average tree (a) diameter at breast height (DBH, cm) and (b)height (H, m) of C. lanceolata forests in Hunan

图5 湖南省杉木林林分平均胸径（a）及树高（b）的模拟值和观察值的比较
Fig.5 Comparison between simulated and observed stand average tree (a) diameter at breast height (DBH, cm) and (b)height (H, m) of C. lanceolata forests in Hunan

图6 湖南省杉木林分布点生物量现存量（t·hm-2）的空间动态的预测<br/>Fig.6 Simulated spatial pattern potential of total biomass (t·hm-2) of C. lanceolata forest s in Hunan

图6 湖南省杉木林分布点生物量现存量（t·hm-2）的空间动态的预测
Fig.6 Simulated spatial pattern potential of total biomass (t·hm-2) of C. lanceolata forest s in Hunan

表1 湖南省杉木林生物量（t·hm-2）60年动态变化<br/>Table 1 Changes in total biomass of C. lanceolata forests in recent 60 years in Hunan t·hm-2

表1 湖南省杉木林生物量（t·hm-2）60年动态变化
Table 1 Changes in total biomass of C. lanceolata forests in recent 60 years in Hunan t·hm-2

图7 湖南省杉木林初级生产力及生物量模拟动态及预测<br/>Fig.7 The simulated NPP and total biomass of C. lanceolata forest s in Hunan

图7 湖南省杉木林初级生产力及生物量模拟动态及预测
Fig.7 The simulated NPP and total biomass of C. lanceolata forest s in Hunan

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备注

引言

1 研究区概况

2 模型应用方法和验证

3 结果与分析

4 结论

学报简介

备注

引言

1 研究区概况

2 模型应用方法和验证

3 结果与分析

4 结 论

学报简介

4 结论