Evaluation of the forest growth model SILVA along an elevational gradient in Switzerland
Evaluation of the forest growth model SILVA along an elevational gradient in Switzerland
复制标题
瑞士森林生长模型 SILVA 沿海拔梯度的评估
DOI：
10.1007/s10342-005-0076-4
复制
发表时间：
2006
影响因子：
2.8
通讯作者：
H. Bugmann
中科院分区：
文献类型：
--
作者：
S. Schmid;A. Zingg;P. Biber;H. Bugmann
半经验单树模型SILVA 2.2已经开发并参数化，使用的是来自德国的森林研究和库存数据，范围从坡地到山地。本研究中提出的模式评价的重点是测试该模式对瑞士主要森林类型和海拔从坡顶到上亚高山地带的适用性。为此，SILVA使用长期森林产量研究小区的数据进行初始化。将30年模拟结束时的结果与观测资料进行了比较。对各试验点结果的分析表明，不同森林类型的模型性能没有显著差异。然而，模拟生长与观测生长之间的偏差很大程度上取决于海拔带，即气候。正如预期的那样，在colline地区发现了最好的结果，模型已经校准，而上亚高山地区则显示出最大的差异。可用于模型初始化的森林结构数据的质量对模拟结果有很大影响，主要是在高海拔地区（即上高山和上亚高山）。我们得出的结论是，SILVA 2.2是估计瑞士大部分森林的单棵树和立木量发展的合适工具。然而，该模型应避免极端气候条件，并且详细的林分结构信息的可用性是对模拟结果质量有重要影响的关键优先事项。
The semi-empirical single-tree model SILVA 2.2 has been developed and parameterised using forest research and inventory data from Germany that range from the colline to the montane zone. The focus of the model evaluation presented in this study was to test the applicability of the model for the main Swiss forest types and at elevations ranging from the colline to the upper subalpine zone. To this end, SILVA was initialized using data from long-term forest yield research plots. The results at the end of the 30-year simulation were compared with observed data. The analysis of the results at each test site showed that there were no significant differences in model performance between forest types. However, the deviation between simulated and observed growth depended strongly on the elevational zone, i.e., on climate. As expected, the best results were found in the colline zone, for which the model had been calibrated, whereas the upper subalpine sites revealed the strongest differences. The quality of the data regarding forest structure that were available for model initialization had a strong impact on the simulation results, mainly at high-elevation zones (i.e., supalpine and upper subalpine). We conclude that SILVA 2.2 is a suitable tool to estimate the development of single trees and standing volume for a large fraction of the forests in Switzerland. However, extreme climate conditions should be avoided with the model, and the availability of detailed stand structure information is a key priority that has a strong effect on the quality of the simulation results.