小兴安岭不同纬度森林碳密度分异及其影响因素
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东北林业大学

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国家重点研发计划项目(2021YFD2200401);国家自然科学基金(32071748)


The differentiation of forest carbon density and its influencing factors at different latitudes in Xiaoxing’anling
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Northeast Forestry University

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National Key Research and Development Program of China(2021YFD2200401),National Natural Science Foundation of China(32071748)

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    摘要:

    小兴安岭森林在维护国家生态安全、应对气候变化等方面发挥着重要的作用。本研究以小兴安岭天然林保护工程区三个不同纬度地区(清河、带岭、五营)不同龄级的天然次生林为研究对象,采用样地清查法量化植被和土壤等各组分碳密度分异及其影响因素。研究结果显示,不同纬度的植被碳密度和残体碳密度存在显著差异,植被碳密度波动由低纬度向高纬度呈递减趋势,随林分的平均年龄呈增加趋势;清河地区的各林型植被碳密度波动范围为76.22 — 154.57 t/hm2,显著高于五营(74.97 — 105.78 t/hm2)和带岭(61.49 — 91.89 t/hm2)的森林植被碳密度。带岭地区的红松柞木林植物残体碳密度为6.69 t/hm2,显著高于其他地区。表层土壤(0 — 10 cm)碳含量和中层土壤(20 — 40 cm)碳含量在纬度间差异不显著,带岭地区大于40 cm深层土壤平均碳含量为20.56 mg/g,显著高于清河(3.94 mg/g)和五营地区(11.10 mg/g)。但是,土壤碳密度在不同纬度间的差异不显著,土壤碳密度波动范围为79.03 — 118.25 t/hm2。清河地区的森林总碳密度(189.96 — 235.66 t/hm2)最高,而五营地区的总碳密度(146.59 — 182.58 t/hm2)最低,随着纬度的升高,森林总碳密度呈降低的趋势。植被、土壤和残体碳密度占总碳密度的范围依次分别为42% — 64%、35% — 54%和1% — 4%。小兴安岭不同菌根型树种碳密度存在明显的区域特征,各地区植被碳密度以外生菌根树种为主,占总植被碳密度的57 — 99%,且随着维度升高其占比呈增加趋势,外生菌根树种碳密度随林龄增大有降低的趋势。植被碳密度与年龄多样性、胸高断面积、最大树高呈显著正向影响,与降雨和海拔呈边缘显著正向影响,植物残体碳密度受到降雨和海拔的显著正向影响,土壤碳密度与各项因素无显著相关关系,植被碳密度与残体碳密度呈显著负相关关系。

    Abstract:

    The Xiaoxing'anling region, a vital forest resource area in China, is instrumental in elucidating the differentiation characteristics of forest carbon density and its influencing factors, which hold significant ecological and climatic implications. This study focused on natural secondary forests across three latitudinal zones—Qinghe, Dailing, and Wuying—within the Xiaoxing'anling region. By employing the plot inventory method, we quantified the carbon density differentiation of various components, including vegetation, plant residues, and soil, and analyzed their influencing factors.Our results revealed substantial spatial variations in vegetation and plant residue carbon density across the study areas. Vegetation carbon density demonstrated a decreasing trend from lower to higher latitudes and increased with the average age of forest stands. Specifically, in Qinghe, vegetation carbon density ranged from 76.22 to 154.57 t/hm2, significantly higher than that in Wuying (74.97 - 105.78 t/hm2) and Dailing (61.49 - 91.89 t/hm2). Notably, the plant residue carbon density in the Korean pine and oak forest plot in Dailing was 6.69 t/hm2, considerably higher than in other regions, whereas the plant residue carbon density in Qinghe and Wuying was relatively lower. No significant differences in soil carbon density were observed across the regions. However, for carbon content, no significant variations were found between latitudes in the surface soil (0 - 10 cm) and middle soil (20 - 40 cm). In contrast, the average carbon content in the deep soil (> 40 cm) of Dailing was 20.56 mg/g, significantly higher than that in Qinghe (3.94 mg/g) and Wuying (11.10 mg/g). However, the soil carbon density among different latitudes had not significant, and the fluctuation range of soil carbon density was 79.03-118.25 t/hm2. The total carbon density of the forest in Qinghe (189.96-235.66 t/hm2) was the highest, while that in Wuying (146.59-182.58 t/hm2) was the lowest. With the increase of latitude, the total carbon density of the forest showed a decreasing trend. The carbon densities of vegetation, soil and residues account for 42% - 64%, 35% - 54% and 1% - 4% of the total carbon density respectively. The carbon density of different mycorrhizal tree species in the Xiaoxing'anling Mountains showed distinct regional characteristics. The carbon density of vegetation was mainly contributed by ectomycorrhizal tree species, accounting for 57% to 99% of the total vegetation carbon density, the proportion of ectomycorrhizal tree species carbon density increased with the increase in latitude, but had decreasing trend with the stand age. Vegetation carbon density was significantly positively correlated with age diversity, basal Area, and maximum tree height. It also showed a marginally significant positive correlation with rainfall and altitude. Plant residues carbon density is significantly positively correlated with rainfall and altitude. Soil carbon density has no significant correlation with any of the factors. Vegetation carbon density is significantly negatively correlated with plant residues carbon density.

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胡俊涛,刘霁广,王传宽,张全智.小兴安岭不同纬度森林碳密度分异及其影响因素.生态学报,,(). http://dx. doi. org/[doi]

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