干旱区生态环境知识资源中心(Arid): The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China

Arid

DOI	10.3390/f15061061
	The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China
	Ou, Han-Biao; Liu, Xiong-Sheng; Wei, Shuo-Xing; Jiang, Yi; Gao, Feng; Wang, Zhi-Hui; Fu, Wei; Du, Hu
通讯作者	Wei, SX
来源期刊	FORESTS
EISSN	1999-4907
出版年	2024
卷号	15 期号:6
英文摘要	Rocky desertification is a devastating process in Karst areas of Southwest China and induces serious fragmentation in ecosystems. Therefore, vegetation restoration and the scientific evaluation of soil quality are key restorative strategies in these areas. In this study, a natural closed forest and a disturbed forest with three restoration models, including an evergreen broad-leaved forest, mixed forest, and deciduous forest, were investigated in Huanjiang County. More than nineteen soil properties (including physical, chemical, and biotic properties) were analyzed across treatments, and principal component analyses (PCA) were combined with a minimum data set (MDS) applied to evaluate the soil quality. Our study sought to identify a vegetation restoration model to improve the soil quality in this area. We demonstrated that soil physical and chemical properties, microbial biomass, and enzyme activities significantly differed across all of the models. Soil water content, capillary porosity, total porosity, organic carbon, total phosphorus, available phosphorus, and urease activity were high in the mixed forest, leading to better physical soil properties. Also, relatively high soil total nitrogen, total potassium, available nitrogen, available potassium, microbial biomass C and N, catalase, sucrose, and alkaline phosphatase levels were observed in the deciduous broad-leaved forest, resulting in improved soil chemical properties. Based on the minimum data set (MDS) method, six indicators, including non-capillary porosity, organic carbon, total phosphorus, pH, microbial biomass nitrogen, and urease activity, were selected to evaluate the soil quality across the models. Our data showed that, among the five models, the deciduous broad-leaved forest had the highest soil quality index (0.618), followed by the mixed forest (0.593). Stepwise regression analysis showed that soil organic carbon explained 79.9% of the variations in the soil quality indices, suggesting it was a major factor affecting the soil quality. Thus, vegetation restoration models mainly comprised of native tree species effectively improved the soil quality in Karst rocky desertification areas, with deciduous broad-leaved forests displaying the best effects, followed by mixed forests.
英文关键词	vegetation restoration soil physical and chemical properties soil microbial biomass soil enzymes soil quality index karst areas
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001256028700001
WOS关键词	LAND-USE TYPES ; ORGANIC-CARBON ; MICROBIAL BIOMASS ; ENZYME-ACTIVITIES ; RESPIRATION ; NITROGEN ; MATTER ; REGION ; STOICHIOMETRY ; SUCCESSION
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403800
推荐引用方式 GB/T 7714	Ou, Han-Biao,Liu, Xiong-Sheng,Wei, Shuo-Xing,et al. The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China[J],2024,15(6).
APA	Ou, Han-Biao.,Liu, Xiong-Sheng.,Wei, Shuo-Xing.,Jiang, Yi.,Gao, Feng.,...&Du, Hu.(2024).The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China.FORESTS,15(6).
MLA	Ou, Han-Biao,et al."The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China".FORESTS 15.6(2024).