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西安理工大学 省部共建西北旱区生态水利国家重点实验室,陕西,西安,710048
Published:2024
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Ma Yuanyuan, Xiao Lie, Min Xuxu, et al. Soil Carbon, Nitrogen and Phosphorus Transformation-Linked Enzyme Activities and Kinetic Characteristics of Different Forest Types in Loess Hilly Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 271-279.
Ma Yuanyuan, Xiao Lie, Min Xuxu, et al. Soil Carbon, Nitrogen and Phosphorus Transformation-Linked Enzyme Activities and Kinetic Characteristics of Different Forest Types in Loess Hilly Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 271-279. DOI: 10.13961/j.cnki.stbctb.2024.05.029.
[目的
]
分析黄土丘陵区典型林型土壤相对酶活性和动力学参数变化规律,揭示土壤酶活性特征变化的驱动因素,为区域人工林建设和改良提供理论依据。[方法
]
以黄土丘陵区针叶林(油松)、阔叶林(麻栎)、混交林(油松—麻栎混交林)3种人工林为研究对象,通过野外采样和室内培养,分析不同林型土壤理化性质和与碳氮磷转化相关的β-1,4-葡糖苷酶(BG)、N-乙酰氨基-β-葡萄糖苷酶(NAG)、亮氨酸酶(LAP)和碱性磷酸酶(ALP)的单位有机碳酶活性及动力学参数〔最大反应速率(V
max
)、米氏常数(K
m
)、催化效率(K
cat
)〕。[结果
]
①土壤容重(BD)、pH值,BG,LAP和ALP这3种酶的单位有机碳酶活性均随土层深度增加而增加,含水率(SWC)和有机碳(SOC)含量随土层深度增加呈减小趋势。pH值表现为针叶林最大,铵态氮(NH
+
4
-N)、总磷(TP)含量在林型上均表现为:阔叶林>混交林>针叶林。②土壤平均(综合)酶活性和动力学参数K
cat
均表现为:混交林>针叶林>阔叶林。动力学参数K
m
值在不同林型间表现为:混交林<针叶林<阔叶林。③与碳氮磷转化相关4种酶的单位有机碳酶活性均与NH
+
4
-N、硝态氮(NO
-
3
-N)、速效磷(AP)、SOC含量存在极显著负相关,BG,NAG和ALP的单位有机碳酶活性与pH值呈极显著正相关。冗余分析结果表明,针叶林和阔叶林中SOC含量对酶促反应特征参数有极显著影响(p<0.01),而影响混交林土壤相对酶活性及动力学参数的关键因素为SOC含量(p<0.01)和TP含量(p<0.05)。[结论
]
黄土丘陵区混交林的单位有机碳酶活性和K
cat
高于针叶林、阔叶林,说明混交林土壤酶催化能力高于针叶林、阔叶林,未来在进行人工造林时可以优先考虑混交林来改善土壤质量。
[Objective] The relative enzyme activity and kinetic parameters of typical forest soil in loess hilly region were analyzed and the driving factors of soil enzyme activity characteristics were revealed in order to provide theoretical basis for the construction and improvement of regional artificial forests. [Methods] Coniferous forest (Pinus tabulaeformis)
broad-leaved forest (Quercus acutissima)
and mixed forest (P. tabulaeformis Q. acutissima mixed forest) in loess hilly region were selected as the research objects. Through field soil sampling and laboratory incubation analysis
soil physical and chemical properties and specific soil carbon
nitrogen
phosphorus transformation-linked enzyme activities 〔β-1
4-Glucosidase (BG)
N-acety-β-glucosaminidase (NAG)〕
L-leucine aminopeptidase (LAP)
and alkaline phosphatase (ALP) and their kinetic parameters 〔maximum reaction rate (Vmax)
Michaelis constant (Km)
and catalytic efficiency (Kcat)〕 were measured. [Results] ① The soil bulk density (BD)
pH value
and enzyme activities of BG
LAP
and ALP per unit of organic carbon all increased with soil depth; however
the soil water content (SWC) and soil organic carbon (SOC) content decreased with soil depth. The highest pH value was in the coniferous forest
and the ammonium nitrogen (NH4+-N) and total phosphorus (TP) contents were in the order of broad-leaved forest>mixed forest>coniferous forest. ② The average (comprehensive) soil enzyme activities and Kcat value were in the order of mixed forest>coniferous forest>broad-leaved forest. The Km value were in the order of mixed forest>coniferous forest>broad-leaved forest. ③ The specific activities of the four enzymes related to carbon
nitrogen
and phosphorus transformation were significantly negatively correlated with NH4+-N
nitrate nitrogen (NO3--N)
available phosphorus (AP)
and SOC content
whereas the specific activities of BG
NAG
and ALP per unit of organic carbon were significantly positively correlated with pH value. Redundancy analysis showed that SOC content had significant influence on enzymatic reaction parameters in both coniferous forest and broad-leaved forest (p<0.01). The main factors affecting the specific enzyme activities and kinetic parameters in mixed forest were SOC (p<0.01) and TP (p<0.05) content. [Conclusion] The soil enzyme activities per unit of organic carbon and Kcat of mixed forest were higher than those of coniferous forest and broad-leaved forest in loess hill region
indicating that the enzyme catalytic ability in mixed forest was higher than those in coniferous forest and broad-leaved forest. Therefore
mixed forest should be given priority consideration in artificial afforestation to improve soil quality.
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