Soil carbon pool and fertility under natural evergreen broadleaved forest and its artificial regeneration forests in southern Sichuan Province, China

Abstract

The measurement of total soil organic matter (SOM) is not sensitive enough to detect short and medium term changes, and thus meaningful fractions of SOM should be measured. The carbon management index (CMI) was shown to be a useful technique for describing soil fertility. Soil samples were collected from natural evergreen broadleaved forest and its artificial regeneration forests of Sassafras tzumu, Cryptomeria fortunei and Metasequoia glyptostroboides in southern Sichuan Province, China, to determine soil carbon fractions, available nutrients, enzyme activity and CMI. Regression analysis was used to determine the relationship between soil carbon fractions, CMI and fertility. The results showed that the contents of soil organic carbon, water-soluble carbon, microbial biomass carbon, labile carbon, non-labile carbon, hydrolysis-N, available-P and available-K, the activity of invertase, phosphatase and catalase, and CMI were ranked with different seasons and followed the order: natural evergreen broadleaved forest > Sassafras tzumu plantation > Metasequoia glyptostroboides plantation > Cryptomeria fortunei plantation. The soil carbon fractions and CMI were significantly positively ( P < 0.05) correlated with available nutrients and enzyme activity. The results indicate that soil carbon fractions and CMI could be used to evaluate the soil fertility for natural evergreen broadleaved forest and its artificial regeneration forests.