| 庞泉沟自然保护区土壤呼吸空间分异性影响因素探测 |
| 摘要点击 1288 全文点击 478 投稿时间：2021-10-20 修订日期：2022-01-27 |
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| 中文关键词 土壤呼吸 空间变化 驱动因子 地理探测器 庞泉沟 |
| 英文关键词 soil respiration spatial change driving factors geodetector Pangquangou |
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| 中文摘要 |
| 土壤呼吸是维持全球碳平衡的重要过程.以庞泉沟自然保护区为研究区域，基于实地测量的土壤呼吸（Rs）数据，结合海拔（ELE）、土壤温度（T）、土壤水分（SWC）、归一化植被指数（NDVI）、坡度（slope）、土壤全碳（C）、总氮（N）和土壤容重（BD），运用地理探测器模型分析了Rs空间分异的主要驱动力及其交互作用.结果表明：①研究区Rs及其影响因子的空间变异均为中等变异.Rs与NDVI、T和土壤N呈极显著正相关（P<0.01），与ELE、slope和SWC呈极显著负相关（P<0.01），Rs与BD显著负相关（P<0.05），与C相关性不显著（P>0.05）.②NDVI和T构成的多元线性模型可以解释Rs空间分异的64.3%.③ELE、T和NDVI为研究区Rs空间分异性的主导驱动力，可以解释64%、59%和48%的空间变异.④双因子的交互作用均能增强对Rs空间分异性的解释力，最大交互因子分别为ELE∩BD （q=0.73）和T ∩ slope （q=0.74）.因此，在Rs的估算过程中，结合地形及环境条件，应考虑多种因子之间的交互作用. |
| 英文摘要 |
| Soil respiration is an important process in maintaining global carbon balance. Taking the Pangquangou Nature Reserve as the research area, based on the field measurement of soil respiration (Rs) data combined with altitude (ELE), soil temperature (T), soil moisture (SWC), normalized vegetation index (NDVI), slope (slope), soil total carbon (C), total nitrogen (N), and soil bulk density (BD), we analyzed the main driving forces and interactions of Rs spatial differentiation by using the geographic detector model. The results showed that:① the spatial variation of Rs and its influencing factors in the study area was moderate. The Rs was significantly positively correlated with NDVI, T, and N (P<0.01) and negatively with ELE, slope, and SWC (P<0.01). The Rs was significantly correlated with BD(P<0.05) but not with C(P>0.05). ② The multivariate linear model composed of NDVI and T explained 64.3% of Rs spatial variation. ③ ELE, T, and NDVI were the dominant driving forces of Rs spatial differentiation in the study area, which could explain 64%, 59%, and 48% of the spatial variability. ④ The interaction of the two factors enhanced the explanatory power of Rs spatial differentiation, and the maximum interaction factors were ELE∩BD (q=0.73), and T∩slope (q=0.74), respectively. Therefore, in the process of Rs estimation, combined with topographical and environmental conditions, the interaction between multiple factors should be considered. |
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