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    人工造林对冀北坝上沙地生态系统碳密度的影响

    Impact of artificial afforestation on the carbon density of the desert ecosystem in North Hebei

    • 摘要: 为了明确冀北坝上沙地造林工程的碳汇作用,为该地区的植被建设提供理论依据,以御道口林场2种造林模式(林草间作、非林草间作)的樟子松人工林(Pinus sylvestris var. mongolica)和华北落叶松人工林(Larix principis-rupprechtii)为研究对象,并以未造林地为对照(按生物量由高到低分为CKI、CKII和CKIII 3种类型),研究不同造林树种和造林模式下生态系统碳密度的差异。研究发现:1)各人工林生态系统碳密度均以乔木层和土壤层占有较大比例,草本层和凋落物层所占比例较小。2)非林草间作的樟子松人工林(NFGP)和华北落叶松人工林(NFGL)乔木层碳密度分别为36.70 t/hm2和52.94 t/hm2,显著高于林草间作的樟子松人工林(FGP)(19.41 t/hm2)和华北落叶松人工林(FGL)(32.54 t/hm2)(P < 0.05);2种造林模式的华北落叶松人工林又显著高于樟子松人工林(P < 0.05)。3)土壤层碳密度表现为CKI(127.56 t/hm2) > NFGL(110.55 t/hm2) > FGL(79.42 t/hm2) > FGP(76.85 t/hm2) > NFGP(63.07 t/hm2) > CKII(56.06 t/hm2) > CKIII(31.78 t/hm2),其中CKI与NFGL无显著差异,但两者均显著高于其他类型(P < 0.05),CKIII显著低于除CKII外的其他类型(P < 0.05)。4)生态系统碳密度表现为NFGL(178.49 t/hm2) > CKI(132.70 t/hm2) > FGL(119.48 t/hm2) > NFGP(109.88 t/hm2) > FGP(102.01 t/hm2) > CKII(59.89 t/hm2) > CKIII(34.22 t/hm2),除NFGL显著高于其他类型、CKII和CKIII显著低于其他类型外(P < 0.05),其余类型之间均无显著差异(P > 0.05)。5)实施“再造3个塞罕坝林场”工程以来,御道口地区通过人工造林增加碳储量115.54 × 104 t C。人工造林显著增加冀北坝上沙地生态系统碳密度,使用华北落叶松采用非林草间作模式能够获得更高的碳储量;同时,初始植被较好且土壤有机碳储量较高时,使用樟子松进行人工造林或者2个树种采用林草间作模式,可能会导致生态系统碳储量的下降。

       

      Abstract:
      Background Afforestation is one of the primary measures for enhancing carbon sinks in terrestrial ecosystems. However, since the large-scale afforestation efforts in Yudaokou, the effectiveness of these projects in carbon sequestration, and whether different tree species and afforestation modes lead to significant differences remains unclear. This study investigates two main tree species and two afforestation modes in Yudaokou, aiming to clarify the impact of afforestation projects on carbon storage in the sandy ecosystems of the Bashang region, North Hebei, thereby providing a theoretical basis for vegetation construction in the area.
      Methods This study investigated ecosystem carbon density under different afforestation species and modes, focusing on Pinus sylvestris var. mongolica and Larix principis-rupprechtii plantations under two silvicultural modes (with and without forest-grass intercropping) in Yudaokou Forest Farm. Non-afforested lands, categorized into CKI, CKII, and CKIII based on decreasing biomass, served as controls. Biomass data were obtained through field surveys and allometric equations, while soil organic carbon was determined using the potassium dichromate external heating method. Data were analyzed with Excel 2021 and one-way ANOVA in SPSS 25. Figures were generated in Origin 2021, and significant differences between treatments were assessed using Duncan’s test (P < 0.05).
      Results 1) In all plantation ecosystems, carbon density was predominantly contributed by the tree and soil layers, with the herb and litter layers accounting for relatively minor proportions. 2) The tree layer carbon density was significantly higher (P < 0.05) in non-forest-grass intercropped P. sylvestris var. mongolica (NFGP) and L. principis-rupprechtii (NFGL) plantations (36.70 t/hm2 and 52.94 t/hm2, respectively) than in their forest-grass intercropped counterparts (FGP (P. sylvestris var. mongolica): 19.41 t/hm2; FGL (L. principis-rupprechtii): 32.54 t/hm2). Moreover, L. principis-rupprechtii plantations under both modes had significantly greater tree layer carbon density than those of P. sylvestris var. mongolica (P < 0.05). 3) Soil carbon density was in the order: CKI (127.56 t/hm2) > NFGL (110.55 t/hm2) > FGL (79.42 t/hm2) > FGP (76.85 t/hm2) > NFGP (63.07 t/hm2) > CKII (56.06 t/hm2) > CKIII (31.78 t/hm2). No significant difference was observed between CKI and NFGL, but both were significantly higher than all other types (P < 0.05). That in CKIII was significantly lower than those of all types except CKII (P < 0.05). 4) Ecosystem carbon density decreased in the order: NFGL (178.49 t/hm2) > CKI (132.70 t/hm2) > FGL (119.48 t/hm2) > NFGP (109.88 t/hm2) > FGP (102.01 t/hm2) > CKII (59.89 t/hm2) > CKIII (34.22 t/hm2). That in NFGL was significantly higher than those of all others, while that in CKII and CKIII were significantly lower (P < 0.05). No significant differences were detected among the remaining types (P > 0.05). 5) Since the implementation of the “Three Saihanba Afforestation Projects”, an additional carbon storage of 115.54 × 104 tC has been achieved in Yudaokou through artificial afforestation.
      Conclusions Afforestation significantly enhances ecosystem carbon density in the sandy lands of Bashang region, North Hebei. L. principis-rupprechtii with non-forest-grass intercropping resulted in the highest carbon storage. However, on sites with better initial vegetation and higher soil organic carbon, using P. sylvestris var. mongolica or adopting forest-grass intercropping patterns may lead to a reduction in ecosystem carbon storage.

       

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