降雨主导森林净初级生产率变化与明显的区域差异在云南省,中国
Xiaofang Yang1,2, Kun Yang1,2,3, Shaohua Zhang1,2
1Faculty of Geography Yunnan Normal University Kunming China.
Ecology and evolution
|January 7, 2026
概括
了解森林净初级生产率 (NPP) 驱动因素是碳汇管理的关键. 这项研究揭示了诸如温度和降水等因素的非线性反应和值效应,在中国云南的森林核电站.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 林业林业 林业 林业 林业
背景情况:
- 森林净初级生产率 (NPP) 对碳汇至关重要,特别是在云南等不同地区.
- 了解核电站的驱动因素和值对于有效的森林管理和气候变化缓解至关重要.
研究的目的:
- 分析中国云南森林核电站的时空变化.
- 确定关键的驱动因素及其对稳定 (SF) 和变化森林 (CF) 的值影响.
- 对森林核电站多种因素的规模依赖性影响和相互作用进行调查.
主要方法:
- 建立了稳定和变化的森林的比较框架.
- 使用随机森林模型和SHAP (夏普利增量扩张) 方法进行驱动分析.
- 分析了基于地形和气候的省级和五个次区域规模的数据.
主要成果:
- 变化的森林 (CF) 显示出比稳定的森林 (SF) 更大的NPP变化和空间异质性.
- 主要的核电站驱动因素因规模而异:省级的海拔 (SF) 和降水 (CF);次区域级的太阳辐射,温度和森林年龄.
- 多种因素的相互作用,特别是降水,显著影响了NPP;人类活动影响了CF NPP. 对于关键因素,观察到非线性值反应.
结论:
- 森林核电站对多个驱动因素表现出复杂的,非线性反应,在山区环境中具有显著的规模效应和相互作用.
- 稳定的森林对核电站驱动因素 (例如温度,降水) 的最佳范围较窄,而不断变化的森林则表现出更大的适应性.
- 这些发现强调了考虑森林碳汇管理的生态建模中的相互作用和规模的重要性.
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