预测树木死亡率的复杂性

L. DeSoto
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引用次数: 0

摘要

本文采用基于统计和过程的模型,在个体和种群尺度上研究了森林Fagus sylvatica的死亡率。结果表明,干旱和晚霜事件是种群尺度上死亡的主要环境原因,而水力导度丧失和碳饥饿是与死亡相关的生理压力。在个体水平上,高死亡率与低生长速率、高树冠脱落、真菌感染、高竞争、高水力导度损失、高晚霜频率以及早(统计模型)或晚(基于过程的模型)发芽有关。这个主题很重要,方法也很有前途。然而,由于其复杂性,以清晰和结构化的方式进行报告也具有挑战性。在手稿准备出版之前,这一点还需要改进。此外,还有一些(小的)技术错误,语言应该改进以使其流畅。人口水平实证的结果如何在人口水平模型中检验早芽的效果?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The complexity of predicting mortality in trees
This manuscript uses statistical and process-based models to study mortality of Fagus sylvatica at individual and population scale. The main results are that drought and late frost events were the major environmental causes of mortality at the population scale, whereas loss of hydraulic conductance and carbon starvation were the physiological stresses connected to mortality. In individual level, high mortality was related to low growth rate, high crown defoliation, infection by a fungi, high competition, high loss of hydraulic conductance, higher frequency of late frosts, and to early (statistical model) or late (process-based model) budburst. The topic is important and the approach is very promising. However, it is also challenging to report in a clear and structured manner due to its complexity. This still needs improvement before the manuscript is ready for publication. Also, there are several (small) technical mistakes and the language should be improved to be fluent. results of the population-level empirical how you can test the effect of early budburst in the population level model?
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