Article(id=1309569854936544153, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309569821424051089, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.03.027, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744819200000, receivedDateStr=2025-04-17, revisedDate=1751990400000, revisedDateStr=2025-07-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1790155384048, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790155384048, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790155384048, creator=13701087609, updateTime=1790155384048, updator=13701087609, issue=Issue{id=1309569821424051089, tenantId=1146029695717560320, journalId=1308397196074385509, year='2026', volume='34', issue='3', pageStart='745', pageEnd='1136', issueExtLink='null', onlineDate='null', pubDate='1773504000000', pubDateStr='2026-03-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790155376058, creator='13701087609', updateTime=1790156773348, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309575682133422151, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309569821424051089, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309575682133422152, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309569821424051089, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1041, endPage=1052, ext={EN=ArticleExt(id=1309569855309837212, articleId=1309569854936544153, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Effects of Biochar and Nitrogen Co-Application on Vegetation and Soil Restoration in Bare-Land Artificial Restoration Grassland, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=To investigate the effects of biochar combined with nitrogen fertilizer on vegetation, soil physicochemical properties, and extracellular enzyme activities in artificially restored bare-land grasslands in the Qilian Mountains, a randomized block design was conducted in 2021. The treatments included a basal fertilizer (biochar 0.5 t·hm-2 + organic fertilizer 1.5 t·hm-2) with nitrogen additions of 50, 100, 150, and 200 kg·hm-2 (CN1, CN2, CN3, CN4), as well as CN0 (basal fertilizer only), CN5 (200 kg·hm-2 nitrogen without basal fertilizer), and CK (no fertilization), totaling seven treatments. The results showed that biochar-nitrogen application significantly increased aboveground biomass (AB), belowground biomass (BB), and root/shoot ratio (R/S) (P<0.05). Specifically, CN3 significantly enhanced soil water content (SWC), total nitrogen (TN), soil organic carbon (SOC), and nitrate nitrogen (NO3--N), while CN3 and CN4 significantly promoted the activities of β-1,4-acetylglucosaminidase (NAG), leucine aminopeptidase (LAP), and cellobiose hydrolase (CBH) (P<0.05). Piecewise structural equation modeling (SEM) indicated that biochar-nitrogen application improved vegetation performance and soil fertility by stimulating extracellular enzyme activities and nutrient supply. In conclusion, CN3 (basal fertilizer + 150 kg·hm-2 nitrogen, C∶N≈12∶1) showed the optimal effect, providing a theoretical reference for the restoration of bare-land artificial grassland in alpine regions., authors=ZHENG Wen-xian1, LI Shi-xiong1,2,3, ZHAO Wen1, SONG Jiang-qin1, HUO Jiu-yan1, SUI Qi-qi1, XU Hai-feng1, YIN Ya-li1,2, authorsList=ZHENG Wen-xian, LI Shi-xiong, ZHAO Wen, SONG Jiang-qin, HUO Jiu-yan, SUI Qi-qi, XU Hai-feng, YIN Ya-li, authorCompany=1 Academy of Animal Science and Veterinary Medicine Qinghai University, Xining, Qinghai Province 810016, China; 2 Key Laboratory of Alpine Grassland Ecosystem in the Three-River-Source, Ministry of Education, Qinghai University, Xining, Qinghai Province 810016, China; 3 Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xining, Qinghai Province 810016, 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=1309569855230145434, articleId=1309569854936544153, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=炭氮配施对黑土滩人工草地植被与土壤的修复研究, columnId=1309565024058835950, journalTitle=草地学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=为探究祁连山区生物炭配施氮肥对黑土滩人工草地植被、土壤理化性质及胞外酶活性的影响,本研究于2021年采用随机区组设计开展试验。试验设基肥(生物炭0.5 t·hm⁻²+有机肥1.5 t·hm⁻²),并在此基础上配施不同梯度的氮肥,分别为50,100,150,200 kg·hm⁻²(对应处理CN₁~CN₄),并设CN₀(基肥)、CN₅(氮肥200 kg·hm⁻²)和CK(不施肥),共7个处理。结果表明,氮配施显著提高植被地上、地下生物量和根冠比(P<0.05)。CN₃处理显著提高土壤含水量、全氮、有机碳和硝态氮含量。CN₃和CN₄处理显著增加β-1,4-乙酰氨基葡萄糖苷酶、亮氨酸氨基肽酶和纤维素二糖水解酶活性(P<0.05)。Piecewise SEM(Structural equation modeling)模型分析结果表明,炭氮配施通过提高胞外酶活性、促进养分供应,改善植被生长状况和土壤肥力。综上,CN₃(基肥+氮肥150 kg·hm⁻²,C∶N≈12∶1)对黑土滩人工草地植被与土壤的修复效果最佳,本研究可为黑土滩草地修复提供理论参考。, authors=郑文贤1, 李世雄1,2,3, 赵文1, 宋江琴1, 火久艳1, 随奇奇1, 徐海峰1, 尹亚丽1,2, authorsList=郑文贤, 李世雄, 赵文, 宋江琴, 火久艳, 随奇奇, 徐海峰, 尹亚丽, authorCompany=1 青海大学畜牧兽医科学院, 青海 西宁 810016; 2 三江源区高寒草地生态教育部重点实验室(青海大学), 青海 西宁 810016; 3 青海省高寒草地适应性管理重点实验室, 青海 西宁 810016, correspAuthors=null, authorNote=郑文贤(1997-),男,汉族,甘肃古浪人,博士研究生,主要从事草地生态与环境保护研究,E-mail:2874009886@qq.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=DQ2Bi/0OaZCLhZxsZwGfiA==, pdfFileSize=3424905, 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=国家自然科学基金项目 (32260357); 青海省科技项目 (2023-ZJ-925M))}, authors=null, keywords=[Keyword(id=1309569855444054941, 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Effects of Biochar and Nitrogen Co-Application on Vegetation and Soil Restoration in Bare-Land Artificial Restoration Grassland
ZHENG Wen-xian1, LI Shi-xiong1,2,3, ZHAO Wen1, SONG Jiang-qin1, HUO Jiu-yan1, SUI Qi-qi1, XU Hai-feng1, YIN Ya-li1,2
Affiliations
1 Academy of Animal Science and Veterinary Medicine Qinghai University, Xining, Qinghai Province 810016, China; 2 Key Laboratory of Alpine Grassland Ecosystem in the Three-River-Source, Ministry of Education, Qinghai University, Xining, Qinghai Province 810016, China; 3 Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Xining, Qinghai Province 810016, China
To investigate the effects of biochar combined with nitrogen fertilizer on vegetation, soil physicochemical properties, and extracellular enzyme activities in artificially restored bare-land grasslands in the Qilian Mountains, a randomized block design was conducted in 2021. The treatments included a basal fertilizer (biochar 0.5 t·hm-2 + organic fertilizer 1.5 t·hm-2) with nitrogen additions of 50, 100, 150, and 200 kg·hm-2 (CN1, CN2, CN3, CN4), as well as CN0 (basal fertilizer only), CN5 (200 kg·hm-2 nitrogen without basal fertilizer), and CK (no fertilization), totaling seven treatments. The results showed that biochar-nitrogen application significantly increased aboveground biomass (AB), belowground biomass (BB), and root/shoot ratio (R/S) (P<0.05). Specifically, CN3 significantly enhanced soil water content (SWC), total nitrogen (TN), soil organic carbon (SOC), and nitrate nitrogen (NO3--N), while CN3 and CN4 significantly promoted the activities of β-1,4-acetylglucosaminidase (NAG), leucine aminopeptidase (LAP), and cellobiose hydrolase (CBH) (P<0.05). Piecewise structural equation modeling (SEM) indicated that biochar-nitrogen application improved vegetation performance and soil fertility by stimulating extracellular enzyme activities and nutrient supply. In conclusion, CN3 (basal fertilizer + 150 kg·hm-2 nitrogen, C∶N≈12∶1) showed the optimal effect, providing a theoretical reference for the restoration of bare-land artificial grassland in alpine regions.
ZHENG Wen-xian, LI Shi-xiong, ZHAO Wen, SONG Jiang-qin, HUO Jiu-yan, SUI Qi-qi, XU Hai-feng, YIN Ya-li.
Effects of Biochar and Nitrogen Co-Application on Vegetation and Soil Restoration in Bare-Land Artificial Restoration Grassland[J].
Acta Agrestia Sinica,
2026
, 34
(3)
: 1041
-1052
.
DOI: 10.11733/j.issn.1007-0435.2026.03.027
基金
收起
国家自然科学基金项目 (32260357); 青海省科技项目 (2023-ZJ-925M)
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