التفاصيل البيبلوغرافية
| العنوان: |
The Impacts of Tree Species on Soil Properties in Afforested Areas: A Case Study in Central Subtropical China. |
| المؤلفون: |
Hu, Miao, Wang, Yiping, Li, Huihu, Hu, Liping, Liu, Qiaoli, Zhou, Fan, Yang, Aihong, Yu, Faxin, Ouyang, Xunzhi |
| المصدر: |
Forests (19994907); Jun2024, Vol. 15 Issue 6, p895, 15p |
| مصطلحات موضوعية: |
FOREST soils, SOIL respiration, LIRIODENDRON chinense, CHINA fir, SPECIES, PLATEAUS |
| مصطلحات جغرافية: |
CHINA |
| مستخلص: |
Afforestation plays a critical role in ecosystem restoration and carbon sequestration. However, there continues to be insufficient knowledge about the long-term effects of different tree species on the forest soil in central subtropical China. In this study, five indigenous afforestation tree species commonly used in the region, including Bretschneidera sinensis, Liriodendron chinense, Schima superba, Phoebe bournei, and Cunninghamia lanceolata, were selected to explore their long-term effects on the forest soil. The soil's physicochemical properties, organic carbon content, enzyme activity, and respiration were investigated. Our results revealed significant differences in the soil physicochemical properties, enzyme activity, organic carbon content, and soil respiration among the different tree species even with the same tree species types. Broad-leaved species, particularly L. chinense and P. bournei, exhibited superior soil physicochemical properties, higher amounts of organic carbon contents, enzyme activity, and soil respiration compared to coniferous species C. lanceolata. Notably, for the two studied evergreen tree species, P. bournei seemed to improve the forest soil quality more than S. superba. Hence, increasing the proportion of broad-leaved tree species may have a beneficial effect on the soil's physicochemical properties and microecology. Furthermore, considering tree species' compositions in afforestation will help to optimize soil quality and ecosystem health. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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