| Microbial are directly involved in the process of reconstruction and recovery of forest, it's dynamic is a key indicator of the transformation process,Researching woodland ecosystems variation of soil microbial restore and its relationship with soil carbon pool recovery has an important guiding significance for reflecting the ecology. Microbial impacts on vegetation and soil physical and chemical properties,and they have a strong correlation. With the change of plant communities,soil microbial differ in quantity. Soil microbes are not only an important part of soil, but also are the biological factors of soil aggregates, and they play a very important role in the. formation and transformation of organic carbon in the soil. Soil enzyme activity not only reflects an important biological indicators of soil fertility, and is closely related to the carbon cycle.Soil enzyme activity has become one of the essential ecosystem processes monitoring indicators. They are have factors of soil carbon stability, the most of which is soil microorganisms, whose contribution is significant. In this paper, studying different measures to Pinus massoniana low-benefit forest in Yibin,we can explore the transformation of different measures on forest soil microbes, soil enzyme activity, soil microbial biomass, and these indicators how can mirror microbiology and soil organic carbon.The main conclusions are as follows:(1) The change of soil microbial quantity in Pinus massoniana low-benefit forest:The transformation of forest gap increased bacterial counts than the comparison 3%-63%, small to medium sized gaps significant difference to the control (p<0.05); the number of fungi increase 24%-100.06%, medium-sized gaps significantly different (p <0.05);actinomycetes have increased by 14% -84%, medium-sized gaps significantly different (p<0.05); clearcut reduce the number of bacteria than the control 8%-19%, the difference was not significant (p> 0.05); fungi reduce 14-34%, the difference was significant (p<0.05); actinomycetes decreased by 4% to 10%, the difference was not significant (p> 0.05). The trend of total microorganisms is similar to bacteria. Overall: small to medium sized gaps of the number of microorganisms increased significantly (p <0.05), reducing the number of clearcut microorganisms, but not significant (p> 0.05). Several transformation measures soil bacteria, fungi, actinomycetes and the total number of microorganisms in different soil changed significantly.0-20cm soil layer was significantly higher than 20-40cm. Microbial quantity changes with the seasons showed significant trend:the number of bacteria and actinomycetes overall performance:the summer have peak value, followed by spring and autumn and winter was minimum; fungi appear autumn peak, followed by spring and summer and winter appear minimum value.(2) The transformation of different measures, all three activity roughly as follows:forest gap> comparison> clearcut. After first increased and then decreased invertase activity occurs with the size of gaps, these reconstruction Measures is not significant (p> 0.05). Small and large gaps transformation catalase activity with no significant (p> 0.05), medium-sized gaps catalase activity was significantly different (p<0.05). Clearcut reduces the activity of catalase, and the difference was significant (p> 0.05). Cellulase performance for medium-sized gaps significantly different (p<0.05), clearcut was not significant (p <0.05). Several measures under the transformation, the maximum soil enzyme activities appear in the autumn, followed by spring and summer and winter activity to a minimum.(3) Different transformation measures, gaps microbial biomass C was increased by 0%-76%, clearcut was reduced by 3%-26%. Medium gaps significant difference compared with the comparison (p<0.05), small and large gaps were not significant (p> 0.05); clearcut significant (p<0.05) reduced the MBC content of the soil surface, the lower layer was not significant (p> 0.05). Under several transformation measures, soil microbial biomass carbon dynamics seasonal distribution substantially:the highest number is in autumn, followed by spring and summer, and winter apper minimum.(4) Different transformation measures microbial entropy size overall performance gaps> clearcut> comparison, the initial gaps and clearcut make entropy increase, the overall difference was significant (p<0.05). Seasonal changes of soil microbial entropy roughly as follows:the higher apper the fall and the spring, followed by winter and the lowest is in summer.(5) Organic carbon and bacteria, fungi, actinomycetes, total microbes, MBC content, catalase. cellulase have positive correlation, but not significant (p> 0.05), organic carbon and qMBC was significantly negative correlation (p <0.01), and invertase showed a significant positive correlation (p<0.05); dissolved organic carbon and actinomycetes were positively correlated, but not significant (p> 0.05), dissolved organic carbon with the bacteria, the total amount of microbes, MBC content, catalase, cellulase show a significant positive correlation (p<0.05), and fungi, invertase are significantly correlated (p<0.01); ROC and fungi, actinomycetes, microbes total, MBC content, qMBC, cellulase, invertase activity was positively correlated, but not significant (p> 0.05), with bacteria, catalase was significantly positively correlated (p<0.05); oxidation stability coefficient and qMBC positive correlation relationship, but not significant (p> 0.05), with MBC, catalase, invertase activity are significant positive correlation (p<0.05), and fungi, bacteria, actinomycetes, microbes, cellulase are significantly positive correlation (p<0.01).(6) Through the study of the transformation of different measures microbiological characteristics, the results showed that:with gaps, especially at medium-sized gaps microorganism, biomass, enzyme activities significantly increased, indicating that the initial Masson pine window formed significantly affected the understory microorganisms. With clearcut, microbial activity reduce than the comparison. Microbial Indicators and soil carbon oxidation stability factor are positively correlated (p<0.05), but they have no significant relationship with soil organic carbon storage (p>0.05). |
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