Use of Modified Reineke's Stand Density Index in Predicting Growth and Survival of Chinese Fir Plantations
Use of Modified Reineke's Stand Density Index in Predicting Growth and Survival of Chinese Fir Plantations
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修正Reineke林分密度指数在预测杉木人工林生长和成活中的应用
DOI：
10.1093/forsci/fxz033
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发表时间：
2019
期刊：
影响因子：
1.4
通讯作者：
Zhang Jianguo
中科院分区：
文献类型：
--
作者：
Zhang Xiongqing;Cao Quang V.;Lu Lele;Wang Hanchen;Duan Aiguo;Zhang Jianguo
林分密度指数（SDI）在控制林分蓄积量和模拟林分生长发育方面发挥着重要作用。Reineke的SDI（SDI_R）是基于自疏线的恒定斜率-1.605。然而，对于杉木人工林，有报道说，自疏坡度随立地和气候而变化，这使得SDI_R值得怀疑。利用福建、江西、广西和四川4省48块样地的复测资料，以SDI_R为预测变量，建立了林分存活率和断面积的预测模型。评估中还包括基于从两组地点（SDI_S）或气候变量（SDI_C）估计的自疏坡的生长模型。结果表明，具有气候敏感型SDI（SDI_C）的模型表现最好，其次是SDI_S和SDI_R。无SDI的对照模型的总体排名最差。因此，在生长和生存模型中纳入气候敏感的SDI可以促进在未来气候变化条件下林分密度和生长/生存之间关系的建模。
Stand density index (SDI) has played an important role in controlling stand stocking and modeling stand development in forest stands. Reineke’s SDI (SDI_R) is based on a constant slope of –1.605 for the self-thinning line. For Chinese fir plantations, however, it has been reported that the self-thinning slope varied with site and climate, rendering SDI_R questionable. Remeasured data from 48 plots distributed in Fujian, Jiangxi, Guangxi, and Sichuan provinces were used to develop models for prediction of stand survival and basal area, with SDI_R incorporated as a predictor variable. Also included in the evaluation were growth models based on self-thinning slopes estimated from two groups of sites (SDI_S) or from climate variables (SDI_C). Results indicated that models with climate-sensitive SDI (SDI_C) performed best, followed by SDI_S and SDI_R. The control models without SDI received the worst overall rank. Inclusion of climate-sensitive SDI in growth and survival models can therefore facilitate modeling of the relation between stand density and growth/survival under future climate-change conditions.