CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Liaoning, China.
Oecologia. 2024 Jun;205(2):295-306. doi: 10.1007/s00442-024-05570-7. Epub 2024 Jun 2.
Understanding how different mechanisms act and interact in shaping communities and ecosystems is essential to better predict their future with global change. Disturbance legacy, abiotic conditions, and biotic interactions can simultaneously influence tree growth, but it remains unclear what are their relative contributions and whether they have additive or interactive effects. We examined the separate and joint effects of disturbance intensity, soil conditions, and neighborhood crowding on tree growth in 10 temperate forests in northeast China. We found that disturbance was the strongest driver of tree growth, followed by neighbors and soil. Specifically, trees grew slower with decreasing initial disturbance intensity, but with increasing neighborhood crowding, soil pH and soil total phosphorus. Interestingly, the decrease in tree growth with increasing soil pH and soil phosphorus was steeper with high initial disturbance intensity. Testing the role of species traits, we showed that fast-growing species exhibited greater maximum tree size, but lower wood density and specific leaf area. Species with lower wood density grew faster with increasing initial disturbance intensity, while species with higher specific leaf area suffered less from neighbors in areas with high initial disturbance intensity. Our study suggests that accounting for both individual and interactive effects of multiple drivers is crucial to better predict forest dynamics.
了解不同机制如何作用和相互作用来塑造群落和生态系统对于更好地预测全球变化下它们的未来至关重要。干扰遗留、非生物条件和生物相互作用可以同时影响树木生长,但仍不清楚它们的相对贡献是什么,以及它们是否具有加性或交互作用。我们在中国东北的 10 个温带森林中研究了干扰强度、土壤条件和邻域拥挤对树木生长的单独和联合影响。我们发现,干扰是树木生长的最强驱动因素,其次是邻居和土壤。具体来说,随着初始干扰强度的降低,树木生长速度变慢,但随着邻域拥挤程度、土壤 pH 值和土壤总磷的增加,树木生长速度也会增加。有趣的是,随着初始干扰强度的增加,土壤 pH 值和土壤磷含量增加导致树木生长速度下降的幅度更大。通过测试物种特征的作用,我们发现生长速度较快的物种具有更大的最大树高,但木材密度和比叶面积较低。木材密度较低的物种随着初始干扰强度的增加生长速度越快,而具有较高比叶面积的物种在初始干扰强度较高的地区受邻居的影响较小。我们的研究表明,考虑多个驱动因素的单独和交互作用对于更好地预测森林动态至关重要。