文献类型：期刊文献

英文题名：Soil quality assessment under different forest types in the Mount Tai, central Eastern China

作者：Shao, Guodong[1,2,3,4] Ai, Juanjuan[1,5] Sun, Qiwu[1,2,3] Hou, Lingyu[1,2,3] Dong, Yufeng[6]

第一作者：Shao, Guodong

通信作者：Sun, QW[1];Hou, LY[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[3]Chinese Acad Forestry, Key Lab Tree Breeding & Cultivat State Forestry &, Beijing 100091, Peoples R China;[4]Univ Goettingen, Fac Forest Sci & Forest Ecol, Soil Sci Trop & Subtrop Ecosyst, D-37077 Gottingen, Germany;[5]Chinese Res Inst Environm Sci, Res Inst Soil & Solid Waste, Beijing 100012, Peoples R China;[6]Shandong Acad Forestry, Jinan 250014, Peoples R China

年份：2020

卷号：115

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20201808591168);Scopus(收录号：2-s2.0-85083815897);WOS:【SCI-EXPANDED(收录号:WOS:000559801800011)】；

基金：We thank all the staff involved in this project of Shandong Academy of Forestry for assistance in the field. This study was financially supported by the National Specific Basic Research Program of the Ministry of Science and Technology of China (2014FY120700).

语种：英文

外文关键词：Forest soil; Minimum data set; Forest stands; Soil quality index

摘要：Forest soils, are important components of forest ecosystems and can be influenced by forest vegetation. Evaluating soil quality of forests is essential for sustainable forest management and forest ecosystem functions. We evaluated soil quality of seven forest stands (I: Pinus tabulaeformis & times; Alnus sibirica, II: Pinus tabulaeformis, III: Robinia pseudoacacia, IV: Pinus tabulaeformis & times; Platycladus orientalis,V: Pinus densiflora & times; Platycladus orientalis, VI: Platycladus orientalis & times; Sophora japonica,VII: Platycladus orientalis) in Mount Tai, Central Eastern China. Seventeen soil physical, chemical and biological properties were analyzed at 0 & ndash;20 and 20 & ndash;40 cm, respectively. Soil quality index (SQI) was determined using the established minimum data set (MDS) based on the selection results of principal component analysis (PCA). Non-capillary porosity, water holding capacity (WHC), total nitrogen (TN), total phosphorus (TP), available potassium (AK), and catalase were finally selected into the MDS. The mean SQI values of seven forest stands were calculated ranging from 0.253 (V) to 0.630 (I). Forest types of deciduous broad-leaved forest and needle-broadleaf mixed forest had higher soil quality in the study area. WHC, soil organic matter, TN and AK, altitude appeared to be the main limiting factors of soil quality. Our results demonstrate that the SQI based on the MDS method could be a useful tool to indicate the soil quality of forest systems, SQI can be viewed as a primary indicator of sustainable forestry management.