Reconstructing spatiotemporal dynamics of mixed conifer and broad-leaved forests with a spatially explicit individual-based dynamic vegetation model
Reconstructing spatiotemporal dynamics of mixed conifer and broad-leaved forests with a spatially explicit individual-based dynamic vegetation model
复制标题
利用空间明确的基于个体的动态植被模型重建针阔混交林的时空动态
DOI：
10.1111/1440-1703.12385
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发表时间：
2023
影响因子：
2
通讯作者：
T.
中科院分区：
文献类型：
--
作者：
Satoh;H.;Shibuya;M.;Hiura;T.
在日本最北端的主岛北海道，一个由落叶阔叶树和常绿针叶树组成的混交林，位于寒温带和亚寒带森林生态系统的过渡地带，建立了一个动态植被模型。在这片森林中，海拔和陆地湿度指数影响树木生物量和针叶树的百分比。我们通过校准控制干旱和过度土壤水分耐受性、建立率和背景死亡率的参数，最大限度地提高了观察到的模式和模型输出之间的一致性。在模拟中，随着模拟年的增加，生物量呈单峰曲线增加，而针叶树的百分比则呈增加趋势，直到200模拟年结束。75年模拟森林与适应森林最具可比性，与北海道灾难性风暴干扰的平均频率一致。该模型还基于温度和土壤湿度重建了合理的演替模式。因此，该模型通过突变干扰后的空间生态位分离和演替机制重构了混交林。然而，该模型并没有在独立验证区重建干扰之前的阔叶树和针叶树的百分比，这表明在未来的模型中应该考虑其他过程。
A dynamic vegetation model was adapted to a mixed forest of deciduous broad‐leaved trees and evergreen conifers in Hokkaido, the northernmost main island of Japan, located within a transition zone between cool‐temperate and sub‐boreal forest ecosystems. In this forest, elevation and a terrestrial‐wetness index affect tree biomass and the percentage of conifers. We maximized agreement between this observed pattern and model output by calibrating parameters that control drought and excessive soil‐moisture tolerance, establishment rate, and background mortality rate. In the simulation, biomass increased as a single peak curve with simulation year, while the percentage of conifers increased until the end of 200 simulation years. The 75‐year simulated forest was most comparable to the adapted forest, consistent with the average frequency of catastrophic storm disturbances in Hokkaido. The model also reconstructed a reasonable succession pattern based on temperature and soil moisture. Therefore, the model mechanistically reconstructed the mixed forest via spatial niche segregation and succession after catastrophic disturbances. However, the model did not reconstruct the percentages of broad‐leaved trees and conifers of forests prior to the disturbance in independent validation plots, demonstrating that additional processes should be considered in future models.