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在北大基南山脉使用树环重建净初级生产率

Yuhang Yang¹, Yongchun Hua¹, Qiuliang Zhang¹

¹College of Forestry, Inner Mongolia Agricultural University, Hohhot 010000, China.

Plants (Basel, Switzerland)

|September 13, 2025

概括

玻里亚森林净初级生产率 (NPP) 对碳循环至关重要. 这项研究使用树环和机器学习来重建核电站,揭示生长季干旱是主要的驱动因素,并确定长期气候周期.

科学领域:

生态生态学生态生态学
气候科学气候科学
林业林业林业林业林业

背景情况:

玻里亚森林是全球关键的碳汇,但由于有限的长期数据,人们对它们的净初级生产力 (NPP) 了解甚少.
了解核电站动态对于准确的陆地碳循环建模和气候变化影响评估至关重要.

研究的目的:

从1968年到2020年,重建北大金汉山脉的高分辨率,跨年森林核电站.
确定影响该地区核电站和树木辐射生长的主要气候驱动因素.
通过树环数据和机器学习,建立一个可靠的核电站重建框架.

主要方法:

为Larix gmelinii*开发了一个标准化的树环时间表.
应用了皮尔森相关系数和SHAP值来确定推动NPP的因素.
综合XGBoost和极端随机森林 (ERF) 模型用于核电站重建.

主要成果:

种植季干旱被确定为影响核电站和树木辐射生长的主要因素.
与ERF模型相比,XGBoost模型在核电站重建中显示出更高的准确性.
重建的核电站系列与MODIS核电站产品有很强的相关性 (r > 0.6) 并表现出十年间周期 (10,28,49年) 和更短的周期 (2-8,15-18年).

结论:

为高分辨率核电站重建建立了一个新的,可靠的框架.
这项研究阐明了北极森林碳循环对气候变化,特别是干旱的反应机制.
这些发现凸显了北极森林核电站对气候变化的敏感性,并为碳循环研究提供了关键数据.

关键词:

大兴南山脉 (Greater Khingan Range) 是一个大兴南山脉.气候与增长之间的关系.树枝时间学重建.干旱干旱干旱干旱树木的生长树木的生长

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