土壤酶研究动态与展望

被引:216
作者
杨万勤
王开运
不详
机构
[1] 中国科学院成都生物研究所
[2] 中国科学院成都生物研究所 成都
[3] 成都
关键词
土壤酶; 研究动态; 展望;
D O I
暂无
中图分类号
S154.2 [土壤生物化学];
学科分类号
摘要
Soil enzyme system plays an active role in the soil biochemical process and is closely related with the circulation of materials such as carbon, nitrogen, phosphorus and sulfur, etc., and energy flow in the ecosystem. Thus it is important research field in the ecology, forestry, agronomy and environmental sciences. Soil enzymology experiences a longer establishing and developing process. Presently, soil enzymology mainly pays attention to investigating soil enzyme activity in ecosystem process, measuring soil enzyme activity used as the integrative bioinicators of soil quality and pollution parameter, elucidating the linkages between soil biology and soil enzyme activity, and explaining the relationships between soil ecological conditions and soil enzyme activity. Due to integrating with landscape ecology, ecosystem ecology, soil zoology, soil microbiology and molecular biology, soil enzymology is being in progress on molecular and landscape levels. Moreover, it plays an important role in improving soil quality and exploring mechanism on ecosystem restoration and rehabilitation owing to combination with agricultural practices and environmental protection. Due to function and ecological significance of soil enzyme, discussions including soil enzyme system differentiation mechanism in ecosystem process, linkages between soil enzyme diversity and functional diversity, combination with the solutions to increasingly urgent ecological environmental problems and innovation on research techniques, and integration and intercross of soil enzymology with other disciplines, etc., will be the most important trends and aspects of soil enzymology in twenty first century. It is suggested that interactive effects between soil enzymes and key ecosystem process be studied from the aspects of soil enzyme system differentiation and ecosystem process. Ref 88
引用
收藏
页码:564 / 570
页数:7
相关论文
empty
未找到相关数据