Effects of abiotic factors on net primary productivity of Abies forests in China
摘要
Net Primary Productivity (NPP) is a crucial indicator of carbon sequestration capacity, as well as a significant reference for assessing material cycling and energy flow within forest ecosystems. This study investigates the principal factors governing both the overall NPP of Abies forests and the NPP variations across 17 distinct Abies forest types in China, employing one-way analysis of variance (ANOVA), random forest modeling (RF) and structural equation models (SEM). We comprehensively considered 20 abiotic factors, revealing the following findings: (ⅰ) The primary factors affecting NPP in Abies forests vary depending on classification standards, but soil texture consistently exhibits significant impacts across all Abies forest types. (ii) The degree of NPP response to these variables differs among various Abies forest types; and (iii) The intermixing of Abies forests with other vegetation mediates the impact of abiotic variables on NPP. Our findings highlight the importance of abiotic factors for NPP in Abies forests and provide a theoretical basis for maintaining carbon balance in Abies forest ecosystems.