Article(id=1309575166615708384, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575113855562513, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.09.025, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1763395200000, receivedDateStr=2025-11-18, revisedDate=1772553600000, revisedDateStr=2026-03-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1790156650450, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790156650450, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790156650450, creator=13701087609, updateTime=1790156650450, updator=13701087609, issue=Issue{id=1309575113855562513, tenantId=1146029695717560320, journalId=1308397196074385509, year='2026', volume='34', issue='9', pageStart='3141', pageEnd='3524', issueExtLink='null', onlineDate='null', pubDate='1789401600000', pubDateStr='2026-09-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790156637871, creator='13701087609', updateTime=1790156973247, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309576520587374966, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575113855562513, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309576520587374967, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575113855562513, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=3412, endPage=3425, ext={EN=ArticleExt(id=1309575167022555874, articleId=1309575166615708384, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Effects of Different Vegetation Types on Soil Quality in the Central Loess Plateau and the Key Driving Factors, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=Clarifying the effects of different vegetation types on soil quality is of great significance for maintaining ecological stability in the hilly-gully region of the Loess Plateau. This study was conducted in the Anjiapo watershed, Dingxi City, Gansu Province as an example. Five vegetation types were selected, including spruce forestland, sea-buckthorn forestland, alfalfa grassland, wheat cropland and abandoned bare land. A total of 18 soil indicators were measured in the 0-20 cm soil layer. Soil quality indices were calculated based on the total data set, minimum data set, and revised minimum data set, combined with linear and non-linear scoring methods. The results showed that spruce forestland had the highest SQI of 0.53, which was 35.9% higher than that of abandoned bare land. The revised minimum data set combined with the linear scoring model (SQI-LRM) exhibited the strongest explanatory power. Partial least squares structural equation modeling revealed that different vegetation types primarily affected soil biological properties through their influence on soil chemical properties. Random forest combined with multiple linear regression analysis revealed that different vegetation types mainly drove soil quality by regulating soil pH, which in turn influenced protease activity. In conclusion, spruce forestland can significantly improve soil quality, and the SQI-LRM model can provide a quantitative basis for soil quality improvement and sustainable ecosystem development in the study area., authors=GAO Shu-lin1, CHEN Nan1,2, DU Meng-yin1, YAO Yao1, LI Wan-ting1, DU Jun1, PANG Jing1,3, MA Wei-wei1, LI Guang1,4,5, YUAN Jian-yu4,5, authorsList=GAO Shu-lin, CHEN Nan, DU Meng-yin, YAO Yao, LI Wan-ting, DU Jun, PANG Jing, MA Wei-wei, LI Guang, YUAN Jian-yu, authorCompany=1 College of Forestry, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 2. Wushan County Productivity Promotion Center, Tianshui, Gansu Province 741000, China; 3. Science Pratacultural College, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 4. State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 5. Gansu Institute of Soil and Water Conservation Science, Lanzhou, Gansu Province 730070, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309575166854783713, articleId=1309575166615708384, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=不同植被类型对陇中黄土高原土壤质量的影响及关键驱动因素, columnId=1309565024058835950, journalTitle=草地学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=明确不同植被类型对土壤质量的影响,对于维持黄土丘陵沟壑区生态稳定具有重要意义。本研究以甘肃省定西市安家坡流域为例,选取云杉林地、沙棘林地、苜蓿草地、小麦地及撂荒裸地,测定其0~20 cm土层的18项土壤指标,基于总数据集、最小数据集和修正后的最小数据集,结合线性与非线性评分方法计算土壤质量指数。结果表明:云杉林地的土壤质量指数最高,为0.53,相较于撂荒裸地提升了35.9%;基于修正后的最小数据集结合线性评分模型(SQI-LRM)的解释能力最强。偏最小二结构方程模型反映出,不同植被类型主要通过影响土壤化学性质进而作用于生物性质;随机森林结合多元线性回归分析则揭示不同植被类型主要通过调控土壤pH来影响蛋白酶活性,最终驱动土壤质量。综上,云杉林地可以显著提升土壤质量;SQI-LRM模型可以为研究区域土壤质量提升与生态系统的可持续发展提供量化依据。, authors=高树林1, 陈楠1,2, 杜梦寅1, 姚瑶1, 李婉婷1, 杜俊1, 庞婧1,3, 马维伟1, 李广1,4,5, 袁建钰4,5, authorsList=高树林, 陈楠, 杜梦寅, 姚瑶, 李婉婷, 杜俊, 庞婧, 马维伟, 李广, 袁建钰, authorCompany=1 甘肃农业大学林学院, 甘肃 兰州 730070; 2 武山县生产力促进中心, 甘肃 天水 741000; 3 甘肃省水土保持科学研究所, 甘肃 兰州 730070; 4 甘肃农业大学草业学院, 甘肃 兰州 730070; 5 干旱生境作物学国家重点实验室, 甘肃 兰州 730070, correspAuthors=null, authorNote=高树林(2000-),男,裕固族,甘肃肃南人,硕士研究生,主要从事土壤质量评价研究,E-mail:3158526966@qq.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=5aUOwgSEn6LKuF0ygiyvqA==, pdfFileSize=2954091, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金 (32160416); 甘肃省青年科技基金 (25JRRA370); 甘肃省拔尖领军人才项目 (GSBJLJ-2023-09); 甘肃省博士后科学基金 (GSAU-BH-2025-09); 甘肃农业大学博士后科研启动金 (GSAU-BH-2025-10); 甘肃省高校研究生“创新之星” (2025CXZX-832))}, authors=[Author(id=1320569631903953176, tenantId=1146029695717560320, journalId=null, articleId=1309575166615708384, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, journalId=1308397196074385509, articleId=1309575166615708384, authorId=1320569631903953176, language=EN, stringName=GAO Shu-lin, CHEN Nan, DU Meng-yin, YAO Yao, LI Wan-ting, DU Jun, PANG Jing, MA Wei-wei, LI Guang, YUAN Jian-yu, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, 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Journal of Soil and Water Conservation,2021,35(5):101-10 刘畅,张建军,张海博,等. 晋西黄土区退耕还林后土壤入渗特征及土壤质量评价[J]. 水土保持学报,2021,35(5):101-107 YU P J,LIU J L,TANG H Y,et al. Establishing a soil quality index to evaluate soil quality after afforestation in a karst region of Southwest China[J]. Catena,2023,230:107237 QIANG F F,SHENG C C,ZHANG J Q,et al. Soil quality variation under different land use types and its driving factors in Beijing[J]. Forests,2024,15(6):993 ZHOU Y,MA H B,XIE Y Z,et al. Assessment of soil quality indexes for different land use types in typical steppe in the loess hilly area,China[J]. Ecological Indicators,2020(118):106743 BAKHSHANDEH E,HOSSIENI M,ZERAATPISHEH M,et al. Land use change effects on soil quality and biological fertility: A case study in northern Iran[J]. European Journal of Soil Biology,2019(95):103119 YE Z Z,WANG S Y,LU X,et al. Effects of straw retention,film mulching,and nitrogen input on soil quality in dryland wheat field[J]. 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Effects of Different Vegetation Types on Soil Quality in the Central Loess Plateau and the Key Driving Factors
GAO Shu-lin, CHEN Nan, DU Meng-yin, YAO Yao, LI Wan-ting, DU Jun, PANG Jing, MA Wei-wei, LI Guang, YUAN Jian-yu
Affiliations
1 College of Forestry, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 2. Wushan County Productivity Promotion Center, Tianshui, Gansu Province 741000, China; 3. Science Pratacultural College, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 4. State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China; 5. Gansu Institute of Soil and Water Conservation Science, Lanzhou, Gansu Province 730070, China
Clarifying the effects of different vegetation types on soil quality is of great significance for maintaining ecological stability in the hilly-gully region of the Loess Plateau. This study was conducted in the Anjiapo watershed, Dingxi City, Gansu Province as an example. Five vegetation types were selected, including spruce forestland, sea-buckthorn forestland, alfalfa grassland, wheat cropland and abandoned bare land. A total of 18 soil indicators were measured in the 0-20 cm soil layer. Soil quality indices were calculated based on the total data set, minimum data set, and revised minimum data set, combined with linear and non-linear scoring methods. The results showed that spruce forestland had the highest SQI of 0.53, which was 35.9% higher than that of abandoned bare land. The revised minimum data set combined with the linear scoring model (SQI-LRM) exhibited the strongest explanatory power. Partial least squares structural equation modeling revealed that different vegetation types primarily affected soil biological properties through their influence on soil chemical properties. Random forest combined with multiple linear regression analysis revealed that different vegetation types mainly drove soil quality by regulating soil pH, which in turn influenced protease activity. In conclusion, spruce forestland can significantly improve soil quality, and the SQI-LRM model can provide a quantitative basis for soil quality improvement and sustainable ecosystem development in the study area.
GAO Shu-lin, CHEN Nan, DU Meng-yin, YAO Yao, LI Wan-ting, DU Jun, PANG Jing, MA Wei-wei, LI Guang, YUAN Jian-yu.
Effects of Different Vegetation Types on Soil Quality in the Central Loess Plateau and the Key Driving Factors[J].
Acta Agrestia Sinica,
2026
, 34
(9)
: 3412
-3425
.
DOI: 10.11733/j.issn.1007-0435.2026.09.025
DORAN J W,PARKIN T B. Defining and assessing soil quality[J]. Defining soil quality for a sustainable environment,1994,35:1-21 GONG J, CHEN L D, FU B J.et al. Effects of land use and vegetation restoration on soil quality in a small watershed of the Loess Hilly Region, China[J]. Chinese Journal of Applied Ecology,2004,15(12):2292-2296 巩杰,陈利顶,傅伯杰,等. 黄土丘陵区小流域土地利用和植被恢复对土壤质量的影响[J]. 应用生态学报,2004,(12):2292-2296 REN Q W,BI J,LI L D,et al. Effects of three forest vegetation restoration types on soil quality in mountainous areas of northern Hebei[J]. Ecology and Environmental Sciences,2018,27(10):1818-1824 任启文,毕君,李联地,等. 冀北山地3种森林植被恢复类型对土壤质量的影响[J]. 生态环境学报,2018,27(10):1818-1824 SHAN Y J. Soil quality assessment and obstacle factor analysis under different land use types on the Loess Plateau[D]. Lanzhou:Northwest Normal University, 2023:15-20 单钰洁. 黄土高原不同土地利用类型土壤质量评价及障碍因子分析[D]. 兰州:西北师范大学,2023:15-20 LI X,ZHANG W J,WU L,et al. 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