Liu Shun, Xu Gexi, Chen Huanhuan, Zhang Miaomiao, Cao Xiangwen, Chen Miao, Chen Jian, Feng Qiuhong, Shi Zuomin
Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.
Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, China.
Front Microbiol. 2023 Jan 18;14:974316. doi: 10.3389/fmicb.2023.974316. eCollection 2023.
Soil microbial community composition and extracellular enzyme activity are two main drivers of biogeochemical cycling. Knowledge about their elevational patterns is of great importance for predicting ecosystem functioning in response to climate change. Nevertheless, there is no consensus on how soil microbial community composition and extracellular enzyme activity vary with elevation, and little is known about their elevational variations on the eastern Qinghai-Tibetan Plateau, a region sensitive to global change. We therefore investigated the soil microbial community composition using phospholipid fatty acids (PLFAs) analysis, and enzyme activities at 2,820 m (coniferous and broadleaved mixed forest), 3,160 m (dark coniferous forest), 3,420 m (alpine dwarf forest), and 4,280 m (alpine shrubland) above sea level. Our results showed that soil microbial community composition and extracellular enzyme activities changed significantly along the elevational gradient. Biomass of total microbes, bacteria, and arbuscular mycorrhizal fungi at the highest elevation were the significantly lowest among the four elevations. In contrast, extracellular enzyme activities involved in carbon (C)-, nitrogen (N)-, and phosphorus (P)- acquiring exhibited the maximum values at the highest elevation. Total nutrients and available nutrients, especially P availability jointly explained the elevational pattern of soil microbial community, while the elevational variation of extracellular enzyme activities was dependent on total nutrients. Microbial metabolism was mainly C- and P-limited with an increasing C limitation but a decreasing P limitation along the elevational gradient, which was related significantly to mean annual temperature and total P. These results indicated a vital role of soil P in driving the elevational patterns of soil microbial community and metabolism. Overall, the study highlighted the contrasting responses of soil microbial biomass and extracellular enzyme activities to elevation, possibly suggesting the differences in adaption strategy between population growth and resource acquisition responding to elevation. The results provide essential information for understanding and predicting the response of belowground community and function to climate change on the eastern Qinghai-Tibetan Plateau.
土壤微生物群落组成和胞外酶活性是生物地球化学循环的两个主要驱动因素。了解它们的海拔分布格局对于预测生态系统对气候变化的响应至关重要。然而,关于土壤微生物群落组成和胞外酶活性如何随海拔变化尚无定论,对于青藏高原东部这个对全球变化敏感的地区,其海拔变化情况也知之甚少。因此,我们利用磷脂脂肪酸(PLFA)分析研究了海拔2820米(针叶阔叶混交林)、3160米(暗针叶林)、3420米(高山矮林)和4280米(高山灌丛)处的土壤微生物群落组成及酶活性。我们的结果表明,土壤微生物群落组成和胞外酶活性沿海拔梯度发生了显著变化。最高海拔处的总微生物、细菌和丛枝菌根真菌生物量在四个海拔中显著最低。相反,参与碳(C)、氮(N)和磷(P)获取的胞外酶活性在最高海拔处呈现最大值。总养分和有效养分,尤其是磷有效性共同解释了土壤微生物群落的海拔格局,而胞外酶活性的海拔变化则取决于总养分。微生物代谢主要受碳和磷限制,沿海拔梯度碳限制增加而磷限制减少,这与年均温度和总磷显著相关。这些结果表明土壤磷在驱动土壤微生物群落和代谢的海拔格局中起着至关重要的作用。总体而言,该研究突出了土壤微生物生物量和胞外酶活性对海拔的不同响应,可能暗示了种群增长和资源获取对海拔响应的适应策略差异。研究结果为理解和预测青藏高原东部地下群落和功能对气候变化的响应提供了重要信息。