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Metabolic characteristics of responses of soil fungi to land-use changes in the hilly regions of northeast China
Received:November 29, 2017  
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KeyWord:hilly region;land-use type;fungal community;metabolic characteristics;Biolog FF
Author NameAffiliationE-mail
WANG Rui Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China
College of Agriculture and Environmental Resources, Tianjin Agricultural University, Tianjin 300384, China 
 
ZHU Ke Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China
College of Agriculture and Environmental Resources, Tianjin Agricultural University, Tianjin 300384, China 
 
LI Gang Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China ligang06@caas.cn 
WANG Jing Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China
College of Agriculture and Environmental Resources, Tianjin Agricultural University, Tianjin 300384, China 
 
LI Bing Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China
College of Agriculture and Environmental Resources, Tianjin Agricultural University, Tianjin 300384, China 
 
XIU Wei-ming Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
LIU Hui-fen College of Agriculture and Environmental Resources, Tianjin Agricultural University, Tianjin 300384, China paula913@126.com 
ZHAO Jian-ning Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
YANG Dian-lin Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
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Abstract:
      In this study, forests, arable lands, and meadows in the hilly regions of Northeastern China were selected as research fields. The Biolog FF micro-plate technique was used to study the metabolic characteristics of soil fungi in these three different land-use types, in order to provide a scientific basis for ecological restoration in the Northeastern hilly areas. The results showed that compared to the forests, the soil fungi in the arable lands had higher average well color development (AWCD) without significant differences, but the AWCD of the meadow fungi was significantly higher than the fungi growing in forests and arable lands. The four diversity indices showed similarities with the AWCD, and were in the order:meadows > forests > arable lands. Significant differences were found among the Shannon indices (H') of the forests, arable lands, and meadows; the results of Simpson index (D) analyses was the same as the Shannon index. The McIntosh index (U) and the richness index (S) of meadows were significantly higher than those of the forests and arable lands, but no significant differences were found between forests and arable lands. Biolog FF plate analysis indicated that arable lands reduced the total carbon utilization intensity of the soil fungi by 16.9% compared to the forests, the difference, however, was not significant; the meadows significantly increased the total carbon utilization intensity of the soil fungi by 48.6% compared to the forests, and the difference was significant. Compared to forests, the meadows significantly enhanced the capacity of the soil fungi for utilizing the carbon in carbohydrates, carboxylic acids, others, and amino acids; the arable lands significantly enhanced the capacity of the soil fungi for utilizing the carbon in polymers, while reducing the utilization from the other five carbon sources, with no significant differences. Among the six categories of carbon sources, carboxylic acids, carbohydrates, and amino acids had much higher relative carbon utilization rates than the other sources, reaching values of 29.87%~35.77%, 22.27%~23.79%, and 18.24%~19.30%, respectively. The preferences of soil fungi for utilization of carbon sources changed due to differences in land-use types. Principal component analysis demonstrated that the different land-use types obviously affected the metabolic characteristics of the substrate carbon sources of the soil fungi. Redundancy analysis indicated that the total nitrogen, water content, organic matter, pH, available phosphorus, and nitrate nitrogen of the soil were the key factors driving the change in the metabolic characteristics of the fungal community.