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生态学杂志 ›› 2026, Vol. 45 ›› Issue (2): 463-473.doi: 10.13292/j.1000-4890.202602.032

• 研究报告 • 上一篇    下一篇

森林植被差异对大兴安岭北部森林小流域河流DIC及CO2特征的影响

张小军,李金哲,张锦豪,段亮亮*   

  1. (东北林业大学林学院, 东北林业大学森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040)
  • 出版日期:2026-02-10 发布日期:2026-08-01

Effects of forest vegetations on DIC and CO2 characteristics of the forested watersheds in northern Da Xing’an Mountains.

ZHANG Xiaojun, LI Jinzhe, ZHANG Jinhao, DUAN Liangliang*   

  1. (College of Forestry, Northeast Forestry University, Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, Northeast Forestry University, Harbin 150040, China).

  • Online:2026-02-10 Published:2026-08-01

摘要: 河流溶解性无机碳(DIC)输出和二氧化碳(CO2)排放是流域碳循环中重要组成部分,在流域生物地球化学循环中扮演着重要角色。为揭示流域森林植被差异对河流DIC和CO2特征的影响,本研究选取大兴安岭北部老爷岭、三道河、圣诞村3个森林植被存在显著差异的小流域作为准配对流域,在2023年4—10月对其河流DIC和CO2进行观测。结果表明:(1)河流DIC浓度在老爷岭流域内从上游至下游呈递减趋势,上游浓度显著高于中、下游(P<0.05);上、中、下游CO2分压(pCO2)、CO2排放通量(FCO2)差异不显著(P>0.05)。(2)老爷岭(森林植被综合指数最高)、三道河、圣诞村(森林植被综合指数最低)河流DIC平均浓度与森林植被综合指数具有相同的趋势,分别为16.24、12.85、10.77 mg·L-1,且流域间差异显著(P<0.05);DIC日通量(FDIC)平均值表现为圣诞村(9.38 kg·km-2)>老爷岭(8.51 kg·km-2)>三道河(6.40 kg·km-2),且圣诞村与三道河差异显著(P<0.05)。(3)三流域pCO2平均值无显著差异(P>0.05);FCO2平均值表现为圣诞村(9.72 g·m-2·d-1)显著高于老爷岭(3.80 g·m-2·d-1)、三道河(3.27 g·m-2·d-1)(P<0.05)。(4)相关性分析表明,DIC浓度、FDICFCO2与水质指标及径流量、流速显著相关,pCO2与溶解氧和水温显著相关。综上,河流DIC浓度在老爷岭流域内沿水流方向不断降低,森林植被差异也会引起河流DIC显著变化,并与森林植被综合指数呈正相关关系,流域森林植被综合指数越高,河流中DIC输出浓度越高,而pCO2FCO2没有与森林植被综合指数呈现出明显的规律。


关键词: 大兴安岭, 小流域, 溶解性无机碳, 二氧化碳, 森林差异

Abstract: Dissolved inorganic carbon (DIC) export and carbon dioxide (CO2) emissions are important components of watershed carbon cycle and play an important role in the biogeochemical cycle of watersheds. To understand the impact of vegetation differences on DIC and CO2 emissions, we selected three small watersheds with different forest vegetations in the northern Da Xing’an Mountains as quasi-paired watersheds and measured DIC and CO2 in the rivers from April to October 2023. The results showed that: (1) The DIC concentration in the river showed a decreasing trend from the upper reaches to the lower reaches. The concentration in the upper reaches was significantly higher than that in the middle and lower reaches (P<0.05). There were no significant differences in the pressure of CO2 (pCO2) and CO2 emission flux (FCO2) in the upper, middle, and lower reaches (P>0.05). (2) The average DIC concentration of rivers in Laoyeling (the highest comprehensive index of forest vegetation), Sandaohe, and Shengdancun (the lowest comprehensive index of forest vegetation) had the same trend with the comprehensive index of forest vegetation, which were 16.24, 12.85, and 10.77 mg·L-1, respectively, and were significantly different among the watersheds (P<0.05). The average DIC daily flux (FDIC) arranged as Shengdancun (9.38 kg·km-2) > Laoyeling (8.51 kg·km-2) > Sandaohe (6.40 kg·km-2), and the difference between Shengdancun and Sandaohe was significant (P<0.05). (3) There was no significant difference in the mean value of pCO2 among the three watersheds (P>0.05). The average FCO2 of Shengdancun (9.72 g·m-2·d-1) was significantly higher than that of Laoyeling (3.80 g·m-2·d-1) and Sandaohe (3.27 g·m-2·d-1) (P<0.05). (4) DIC concentration, FDIC, and FCO2 were significantly correlated with water quality indices, runoff and velocity, while pCO2 was significantly correlated with dissolved oxygen and water temperature. In conclusion, the DIC concentration in the river decreased along the flow direction in the Laoyeling watershed. The differences of forest vegetation could cause significant changes in river DIC, which was positively correlated with the comprehensive index of forest vegetation. The higher the comprehensive index of forest vegetation in the watershed is, the higher the output concentration of DIC in the river. pCO2 and FCO2 did not show obvious patterns with the comprehensive index of forest vegetation.


Key words: Da Xing’an Mountains, small watershed, dissolved inorganic carbon, carbon dioxide, forest difference