资助项目:国家重点研发计划课题“水土保持林结构调整与功能提升技术”(2017YFC0504601); 中国科学院科技服务网络计划(KFJ-STS-ZDTP-036)
第一作者:张鹏(1993—),男,安徽淮南人,硕士研究生,研究方向:流域生态管理。E-mail:13109599373@163.com 通信作者:王国梁(1971—),男,陕西西安人,研究员,博士生导师,主要从事流域生态管理研究。E-mail:glwang@nwsuaf.edu.cn
土壤酶在地下生态系统物质循环、能量流动以及信息交流起着重要作用,是当前生态学研究的热点问题之一,然而沿环境梯度土壤酶的变化机制尚不明确。因而选取由北到南黄土高原4个地区(神木、绥德、安塞、淳化)刺槐林为研究对象,通过测定土壤养分、微生物量和酶活性,分析了酶活性及其化学计量与气候、土壤养分与微生物量之间的关系。结果 表明:(1)由北到南,β-1,4-葡萄糖苷酶(BG)、β-N-乙酰氨基葡萄糖苷酶(NAG)、亮氨酸氨肽酶(LAP)和碱性磷酸酶(AP)活性分别在28.72~110.66,1.60~3.32,6.84~10.25,14.17~32.60 [nmol/(g·h)]之间; LAP呈增加趋势; BG,NAG,AP先增加后减小而后又增加。(2)微生物量碳(MBC)、微生物量氮(MBN)和微生物量磷(MBP)分别为23.08~95.04,2.86~7.95,0.53~0.92 mg/kg,均呈增加趋势。(3)BG/(LAP+NAG)、BG/AP、(LAP+NAG)/AP分别为3.15~6.46,1.5~2.96,0.41~0.70; BG/(LAP+NAG)先减小后增大,淳化最高; BG/AP先减小后增大,在神木最高;(LAP+NAG)/AP呈持续减小趋势。(4)通过冗余分析,环境因子对土壤酶、微生物量总解释率达到57.36%,其中年均降雨量(MAP)、N/P影响最大且呈正相关关系,解释率分别为36.60%,14.80%; 环境因子对土壤酶、微生物量化学计量比总解释率达到72.18%,其中土壤速效磷(A-P)与TN影响最大且呈正相关关系,解释率分别为30.5%,19.1%。微生物群落处于相对稳态,微生物量化学计量比与土壤养分化学计量比无显著性关系。土壤酶化学计量比沿环境梯度不处于稳态,依赖于土壤速效养分与土壤养分化学计量比。
Soil enzymes play an important role in the material cycling, information exchange and energy flow of underground ecosystems, and are one of the hotspots of current ecology research. However, the mechanism of soil enzymes change along environmental gradient is still unclear. Therefore, Robinia pseudoacacia Forests in four areas(Chunhua, Ansai, Suide and Shenmu)from the north to the south of the Loess Plateau were selected as the research samples. Soil nutrients, microbial biomass and enzyme activities were measured, and the relationship between enzyme activity and its stoichiometry, climate, soil nutrients and microbial biomass were analyzed. The results showed that:(1)from north to south, the activities of beta-1,4-glucosidase(BG), beta-N-acetylglucosaminidase(NAG), leucine aminopeptidase(LAP)and alkaline phosphatase(AP)were 28.72~110.66, 1.60~3.32, 6.84~10.25 and 14.17~32.60 nmol/(g·h), respectively; LAP showed an increasing trend; BG, NAG and AP increased at first, then decreased and then increased;(2)microbial biomass carbon(MBC), microbial biomass nitrogen(MBN)and microbial biomass phosphorus(MBP)ranged between 23.08~95.04 mg/kg, 2.86~7.95 mg/kg and 0.53~0.92 mg/kg, respectively;(3)BG/(LAP+NAG), BG/AP,(LAP+NAG)/AP were between 3.15~6.46, 1.5~2.96 and 0.41~0.70, respectively; BG/(LAP+NAG)decreased at first, then increased, which was the highest in Chunhua; BG/AP decreased at first, then increased, which was the highest in Shenmu; and(LAP+NAG)/AP showed a continuous decreasing trend;(4)through redundancy analysis, the total explanatory rate of environmental factors to soil enzymes and microbial biomass reached up to 57.36%; among them, the annual average rainfall and N/P had the greatest influence and positive correlation, explaining rates were 36.60% and 14.80%, respectively; the total explanatory rate of environmental factors to soil enzymes and microbial quantification was 72.18%, soil available phosphorus had the greatest impact on soil total nitrogen, and had a positive correlation, the interpretation rates were 30.5% and 19.1%, respectively; microbial community is relatively stable, and there is no significant relationship between microbial quantification and soil nutrient differentiation, soil enzymatic stoichiometric ratio is not stable along the environmental gradient and depends on the stoichiometric ratio of available nutrients and soil nutrient differentiation.