1. 中国科学院教育部水土保持与生态环境研究中心, 陕西 杨凌,712100
2. 中国科学院水利部水土保持研究所, 陕西 杨凌,712100
3. 中国科学院大学,北京,100049
4. 国家林业和草原局西北调查规划院,西安,710048
5. 西北农林科技大学林学院, 陕西 杨凌,712100
6. 西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌,712100
[ "丁鑫丽(1998—),女,在读硕士研究生,主要从事流域生态研究。E-mail:dingxinli22@mails.ucas.ac.cn" ]
纸质出版:2024
移动端阅览
丁鑫丽, 马振华, 赵慧雪, 等. 宁南山区不同植被类型土壤生态化学计量特征与碳储量[J]. 水土保持学报, 2024,38(5):364-373.
DING Xinli, MA Zhenhua, ZHAO Huixue, et al. Ecological Stoichiometry and Carbon Storage Under Different Vegetation Types in Mountainous Area of Southern Ningxia, China[J]. 2024, 38(5): 364-373.
丁鑫丽, 马振华, 赵慧雪, 等. 宁南山区不同植被类型土壤生态化学计量特征与碳储量[J]. 水土保持学报, 2024,38(5):364-373. DOI: 10.13870/j.cnki.stbcxb.2024.05.008.
DING Xinli, MA Zhenhua, ZHAO Huixue, et al. Ecological Stoichiometry and Carbon Storage Under Different Vegetation Types in Mountainous Area of Southern Ningxia, China[J]. 2024, 38(5): 364-373. DOI: 10.13870/j.cnki.stbcxb.2024.05.008.
[目的] 为了阐明不同植被类型的土壤养分状况与固碳能力差异。[方法] [HTSS] 以宁夏南部山区具有代表性的乔木纯林(山杏林和刺槐林)、乔木混交林(刺槐+山杏)、乔灌混交林(山桃+柠条)、灌木林(沙棘)、草地共6种植被类型为研究对象
通过野外调查和室内分析相结合的方式
研究各植被类型0—100 cm土层的生态化学计量特征与碳储量。[结果] 研究区土壤C、N、P变化分别为19.74~35.11
1.74~3.19
1.60~1.69 g/kg
C、N均表现为随土层深度的增加而递减
其中刺槐+山杏林地的C、N在0—80 cm土层显著高于其他类型
P在各类型和土层间均无显著性差异。土壤C∶N在0—40 cm土层刺槐林显著较低
40—100 cm土层不同植被类型间无显著差异
土壤C∶P和N∶P受植被类型影响较大
表现为刺槐+山杏林地最高。各植被类型的C∶N在不同土层间没有明显差异
C∶P和N∶P表现为随着土层的增加而降低。土壤0—100 cm土层碳储量为5.98~38.21 t/hm2
各植被类型间差异较大
总体表现为刺槐+山杏>刺槐>山杏>沙棘>山桃+柠条>草地
刺槐+山杏林显著高于其他植被类型。[结论] 宁南山区乔灌林地养分循环模式与固碳能力优于草地
且刺槐+山杏混交林造林模式最佳
营造混交林是提高土壤固碳能力的一个重要途径。
[Objective] To elucidate the differences in soil nutrient status and carbon sequestration capabilities among various vegetation types. [Methods] This study focused on six representative vegetation types in the southern mountainous areas of Ningxia: pure tree plantations (Prunus sibirica L. and Robinia pseudoacacia L.)
mixed tree plantations (Robinia pseudoacacia L.+ Prunus sibirica L.)
mixed tree and shrub plantations (Prunus davidiana (Carrière) Franch.+ Caragana korshinskii Kom.)
shrub plantations (Hippophae rhamnoides L.)
and grasslands. Through a combination of field surveys and laboratory analyses
we investigated the ecological stoichiometry and carbon storage of the 0—100 cm soil layer across these vegetation types. [Results] C
N
and P contents varied between 19.74~35.11 g/kg
1.74 ~3.19 g/kg
and 1.60~1.69 g/kg
respectively
with both C and N contents decreasing with increasing soil depth. Furthermore
the C and N contents in the Robinia pseudoacacia L.+ Prunus sibirica L. were significantly higher than those in other types up to a depth of 80 cm
while P content showed no significant differences among types or soil layers. Soil C∶N ratio were significantly lower in Robinia pseudoacacia L.+ Prunus sibirica L. within the 0—40 cm layer
with no significant differences observed among vegetation types from 40—100 cm. Soil C∶P and N∶P ratios were significantly influenced by vegetation type
showing the highest values in the mixed forest of Robinia pseudoacacia L.and Prunus sibirica L.; Soil C∶N of these vegetation types showed no significant differences among layers . Soil C∶P and N∶P ratios were decreased with soil depth. Soil carbon storage 0—100 cm varied between 5.98~38.21 t/hm2 and had significant differences among these types
with all of them showed the order: Robinia pseudoacacia L.+ Prunus sibirica L.> Robinia pseudoacacia L.> Prunus sibirica L.>Hippophae rhamnoides L.>Prunus davidiana (Carrière) Franch.+ Caragana korshinskii Kom.>grassland. In addition
the mixed plantation of Robinia pseudoacacia L. and Prunus sibirica L. had significantly higher carbon storage than other vegetation types. [Conclusion] Tree and shrub lands in the southern Ningxia mountainous region have superior nutrient cycling patterns and carbon sequestration capabilities compared to grasslands
with the mixed planting model of Robinia pseudoacacia L.and Prunus sibirica L. being the most effective. Therefore
creating mixed plantations is an important approach to enhance soil carbon sequestration capacity.
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