华西雨屏区不同林龄柳杉人工林土壤微生物生物量碳氮含量和氮矿化速率特征
Characteristics of Carbon and Nitrogen Concentration of Soil Microbial Biomass and Nitrogen Mineralization Rates in Cryptomeria japonica var.sinensis Plantations of Different Ages in the Rainy Area of Western China
刘春燃 1李婧 1简毅 2李晗 1谭波 1徐振锋 1游成铭1
作者信息
- 1. 长江上游林业生态工程四川省重点实验室/长江上游森林资源保育与生态安全国家林业和草原局重点实验室/华西雨屏区人工林生态系统研究长期科研基地/四川农业大学林学院,成都 611130
- 2. 四川省林业科学研究院/森林和湿地生态恢复与保育四川重点实验室,成都 610081
- 折叠
摘要
[目的]探究华西雨屏区不同林龄柳杉人工林根际与非根际土壤微生物生物量碳氮含量、活性氮含量和氮矿化速率的差异,为该区域柳杉人工林土壤氮素管理提供理论支持.[方法]以华西雨屏区中龄林(13 a)、成熟林(33 a)和过熟林(53 a)的柳杉人工林为研究对象,采集根际土和非根际土壤样品,测定微生物生物量碳、氮含量及氮矿化速率等指标.[结果]①柳杉成熟林根际土微生物生物量碳、氮含量整体显著高于中龄林和过熟林阶段,非根际土微生物生物量碳、氮含量随林龄增加呈降低趋势,而根际与非根际土微生物生物量碳氮比值均随林龄增加呈增加的趋势.②成熟林根际土与非根际土的铵态氮含量、铵态氮与硝态氮比值整体均显著高于中龄林和过熟林,而土壤硝态氮和无机氮含量随林龄增加均呈降低趋势,并且根际土铵态氮、硝态氮以及无机氮含量整体均高于非根际土.③成熟林根际土铵化速率及其根际效应显著高于其他林龄阶段;中龄林和成熟林根际土与非根际土的硝化速率和净氮矿化速率整体显著高于过熟林,并且根际土的硝化速率和净氮矿化速率整体均高于非根际土.④柳杉人工林土壤微生物生物量碳、氮含量和氮矿化速率与土壤理化性质密切相关.[结论]相较于中龄林和过熟林,柳杉成熟林根际土壤表现出更快的氮循环速率和更高的氮素有效性.因此,适当加强柳杉中龄林和过熟林氮肥管理可能更有利于提高柳杉人工林质量.
Abstract
[Objective]Exploring the differences of microbial biomass carbon and nitrogen concentra-tion,active nitrogen concentration and nitrogen mineralization rate in rhizosphere and bulk soil of Crypto-meria japonica var.sinensis plantations of different ages in the Rainy Area of Western China to provide theoretical support for nitrogen management of C.japonica var.sinensis plantations in this region.[Method]Taking the C.japonica var.sinensis plantations of middle-aged forests(13 a),mature forests(33 a)and over-mature forests(53 a)in the Rainy Area of Western China as the research objects,samples were collected from root rhizosphere and bulk soil to determine a range of indexes such as soil mi-crobial biomass carbon,nitrogen concentration as well as nitrogen mineralization rates.[Result]① The carbon and nitrogen concentration of microbial biomass in root rhizosphere of C.japonica var.sinensis plantations of mature stages overall significantly higher than those in middle and over-mature stages.The carbon and nitrogen concentration of microbial biomass in bulk soil showed a decreasing trend with in-creasing stand age,while the microbial biomass carbon-to-nitrogen ratio in both root rhizosphere and bulk soil showed an increasing trend with increasing stand age.② The ammonium nitrogen concentration and the ratio of ammonium nitrogen to nitrate nitrogen in the root rhizosphere and bulk soils of mature for-ests were significantly higher than those of middle and over-mature forests.Both nitrate nitrogen and inor-ganic nitrogen concentration tended to decrease with increasing age.Moreover,the overall ammonium ni-trogen,nitrate nitrogen and inorganic nitrogen concentration in the root rhizosphere soils were higher than those in the bulk soils.③ The rate of ammonification and its rhizosphere effect were significantly higher in the bulk soils of mature forests than in other forest age stages;the rates of nitrification and net nitrogen mineralization in the root rhizosphere and bulk soils of middle and mature forests were signifi-cantly higher overall than in over-mature forests,and the rates of nitrification and net nitrogen mineral-ization in the root rhizosphere soils were higher overall than in the bulk soils.④ The carbon and nitrogen concentration of soil microbial biomass and the rate of nitrogen mineralization in Cryptomeria japonica var.sinensis plantations are closely related to soil physicochemical properties.[Conclusion]Compared to middle aged and over-mature stands,mature stands of C.japonica var.sinensis plantations show rapid turnover and higher effectiveness of root rhizosphere nitrogen.Therefore,it may be more beneficial to im-prove the quality of C.japonica var.sinensis plantations by appropriately enhancing the management of ni-trogen fertilization in middle and over-mature stands.
关键词
华西雨屏区/柳杉人工林/林龄/微生物生物量碳氮/氮矿化Key words
Rainy Area of Western China/Cryptomeria japonica var.sinensis plantation/stand age/microbial biomass carbon and nitrogen concentration/nitrogen mineralization引用本文复制引用
基金项目
国家自然科学基金(32071745)
国家自然科学基金(31870602)
国家自然科学基金(31901295)
中国博士后科学基金(2022M722297)
出版年
2024
NETL
NSTL
万方数据