...
首页> 外文期刊>Ecological Applications >How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model
【24h】

How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model

机译:如何杀死树:18种物种的经验死亡率模型及其在动态森林模型中的表现

获取原文
获取原文并翻译 | 示例

摘要

Dynamic Vegetation Models (DVMs) are designed to be suitable for simulating forest succession and species range dynamics under current and future conditions based on mathematical representations of the three key processes regeneration, growth, and mortality. However, mortality formulations in DVMs are typically coarse and often lack an empirical basis, which increases the uncertainty of projections of future forest dynamics and hinders their use for developing adaptation strategies to climate change. Thus, sound tree mortality models are highly needed. We developed parsimonious, species-specific mortality models for 18 European tree species using >90,000 records from inventories in Swiss and German strict forest reserves along a considerable environmental gradient. We comprehensively evaluated model performance and incorporated the new mortality functions in the dynamic forest model For- Clim. Tree mortality was successfully predicted by tree size and growth. Only a few species required additional covariates in their final model to consider aspects of stand structure or climate. The relationships between mortality and its predictors reflect the indirect influences of resource availability and tree vitality, which are further shaped by species-specific attributes such as maximum longevity and shade tolerance. Considering that the behavior of the models was biologically meaningful, and that their performance was reasonably high and not impacted by changes in the sampling design, we suggest that the mortality algorithms developed here are suitable for implementation and evaluation in DVMs. In the DVM ForClim, the new mortality functions resulted in simulations of stand basal area and species composition that were generally close to historical observations. However, ForClim performance was poorer than when using the original, coarse mortality formulation. The difficulties of simulating stand structure and species composition, which were most evident for Fagus sylvatica
机译:动态植被型号(DVMS)设计适用于基于三个关键过程再生,生长和死亡率的数学表示,在当前和未来条件下模拟森林连续和物种范围动态。然而,DVM中的死亡配方通常是粗糙的,通常缺乏经验基础,这增加了未来森林动力学预测的不确定性,并阻碍了他们对气候变化的适应策略的影响。因此,非常需要声音树死亡率模型。我们开发了可用于18种欧洲树种的典型物种特异性的死亡率模型,使用瑞士瑞士和德国严格森林储备中的库存90,000次记录,沿着相当大的环境梯度。我们全面评估了模型性能,并在动态森林模型锻炼中纳入了新的死亡函数。通过树大小和成长成功预测树死亡率。只有几种物种在最终模型中需要额外的协变量,以考虑立场结构或气候的方面。死亡率与其预测因子之间的关系反映了资源可用性和树木活力的间接影响,这些影响是由特定的特定属性,例如最大寿命和遮阳耐受性的进一步形状。考虑到模型的行为是生物学上的有意义的,并且它们的性能相当高,并且不会受到抽样设计的变化影响,我们认为这里开发的死亡率算法适用于DVM中的实施和评估。在DVM Forclim中,新的死亡率函数导致了一般接近历史观察的支架基础区域和物种组合物。然而,Forclim性能比使用原始粗糙的死亡率制定较差。模拟实体结构和物种组成的困难,对Fagus Sylvatica最明显

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号