• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

陕北黄土高原不同土地利用类型下土壤有机碳与无机碳的剖面分布

[Profile Distribution of Soil Organic and Inorganic Carbon Under Different Land Use Types in the Loess Plateau of Northern Shaanxi].

作者信息

Lan Zhi-Long, Zhao Ying, Zhang Jian-Guo, Li Hui-Jie, Si Bing-Cheng, Jiao Rui, Muhammad Numan Khan, Tanveer Ali Sial

机构信息

Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, College of Natural Resource and Environment, Northwest A&F University,Yangling 712100, China.

College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

出版信息

Huan Jing Ke Xue. 2018 Jan 8;39(1):339-347. doi: 10.13227/j.hjkx.201704157.

DOI:10.13227/j.hjkx.201704157
PMID:29965700
Abstract

Carbon storage in the Loess Plateau is affected by land use. In order to assess the differences in soil organic carbon (SOC) and soil inorganic carbon (SIC) under different land use patterns in deep soil profiles, we investigated the distribution characteristics of SOC and SIC at 0-20.0 m soil depth at three locations in the northern Shaanxi province (i.e., an economical plantation in Mizhi, a reforestation area in Shenmu, and a wind break and sand fixation forest district in Yuyang). The results showed that the order for SOC content was:pruning jujube tree (2.00 g·kg) > jujube tree (1.54 g·kg) > Caragana (0.97 g·kg) > degraded artificial grassland (0.81 g·kg) > pine forests (0.70 g·kg) > natural grass field (0.45 g·kg), which indicated significant differences between SOC content and land use types (<0.05). Similarly, the order of SIC content was:pruning jujube tree (11.66 g·kg) > jujube tree (11.59 g·kg) > Caragana (9.62 g·kg) > degraded artificial grassland (8.07 g·kg) > pine forests (4.32 g·kg) > natural grass field (0.47 g·kg). There were no significant differences between SIC content and soil profiles under the economical plantation of Mizhi and the reforestation area of Shenmu. There were significant differences for SIC content between an artificial economic forest, an area returning farmland to a forest (grass) profile, and a windbreak and sand fixation forest (<0.05). The SIC densities for pruning jujube tree, jujube tree, Caragana, degraded artificial grassland, pine forest, and natural grass field were 6.19, 7.71, 10.70, 10.78, 5.91, and 1.03 times that of its corresponding SOC density, respectively. It has been concluded that the soil carbon storage was significantly different for different land use patterns, and the SIC content was much higher than the SOC content in the soil profile.

摘要

黄土高原的碳储量受土地利用方式的影响。为了评估深层土壤剖面中不同土地利用模式下土壤有机碳(SOC)和土壤无机碳(SIC)的差异,我们调查了陕西省北部三个地点(即米脂的经济林种植地、神木的造林区和榆阳的防风固沙林区)0至20.0米土壤深度处SOC和SIC的分布特征。结果表明,SOC含量顺序为:修剪枣树(2.00克·千克)>枣树(1.54克·千克)>柠条(0.97克·千克)>退化人工草地(0.81克·千克)>松林(0.70克·千克)>天然草地(0.45克·千克),这表明SOC含量与土地利用类型之间存在显著差异(<0.05)。同样,SIC含量顺序为:修剪枣树(11.66克·千克)>枣树(11.59克·千克)>柠条(9.62克·千克)>退化人工草地(8.07克·千克)>松林(4.32克·千克)>天然草地(0.47克·千克)。米脂经济林种植地和神木造林区下SIC含量与土壤剖面之间无显著差异。人工经济林、退耕还林(草)剖面和防风固沙林之间SIC含量存在显著差异(<0.05)。修剪枣树、枣树、柠条、退化人工草地、松林和天然草地的SIC密度分别是其相应SOC密度的6.19、7.71、10.70、10.78、5.91和1.03倍。研究得出结论,不同土地利用模式下土壤碳储量存在显著差异,且土壤剖面中SIC含量远高于SOC含量。

相似文献

1
[Profile Distribution of Soil Organic and Inorganic Carbon Under Different Land Use Types in the Loess Plateau of Northern Shaanxi].陕北黄土高原不同土地利用类型下土壤有机碳与无机碳的剖面分布
Huan Jing Ke Xue. 2018 Jan 8;39(1):339-347. doi: 10.13227/j.hjkx.201704157.
2
[Effects of land use types on deep soil water content in the loess hilly area of the north Shaanxi Province, China].[土地利用类型对中国陕西省北部黄土丘陵区深层土壤含水量的影响]
Ying Yong Sheng Tai Xue Bao. 2017 Mar 18;28(3):847-855. doi: 10.13287/j.1001-9332.201703.005.
3
Natural vegetation restoration is more beneficial to soil surface organic and inorganic carbon sequestration than tree plantation on the Loess Plateau of China.与人工林相比,自然植被恢复更有利于黄土高原土壤表面有机和无机碳的固存。
Sci Total Environ. 2014 Jul 1;485-486:615-623. doi: 10.1016/j.scitotenv.2014.03.105. Epub 2014 Apr 17.
4
[Profile distribution and storage of soil organic carbon in a black soil as affected by land use types].[土地利用类型对黑土土壤有机碳剖面分布及储量的影响]
Ying Yong Sheng Tai Xue Bao. 2015 Apr;26(4):965-72.
5
[Effects of land use change on soil active organic carbon in deep soils in Hilly Loess Plateau region of Northwest China].[土地利用变化对中国西北黄土高原丘陵区深层土壤活性有机碳的影响]
Huan Jing Ke Xue. 2015 Feb;36(2):661-8.
6
Profile distribution of soil organic and inorganic carbon following revegetation on the Loess Plateau, China.黄土高原植被恢复后土壤有机碳和无机碳的分布特征。
Environ Sci Pollut Res Int. 2018 Oct;25(30):30301-30314. doi: 10.1007/s11356-018-3020-0. Epub 2018 Aug 29.
7
[Effects of natural vegetation restoration and afforestation on soil carbon and nitrogen storage in the Loess Plateau, China.].[中国黄土高原自然植被恢复与造林对土壤碳氮储量的影响。]
Ying Yong Sheng Tai Xue Bao. 2018 Jul;29(7):2163-2172. doi: 10.13287/j.1001-9332.201807.005.
8
Effects of Revegetation on Soil Organic Carbon Storage and Erosion-Induced Carbon Loss under Extreme Rainstorms in the Hill and Gully Region of the Loess Plateau.黄土高原丘陵沟壑区植被恢复对极端暴雨下土壤有机碳储量及侵蚀诱导碳损失的影响
Int J Environ Res Public Health. 2016 Apr 29;13(5):456. doi: 10.3390/ijerph13050456.
9
[Soil carbon and nitrogen storage of different land use types in northwestern Shanxi Loess Plateau].陕北黄土高原不同土地利用类型的土壤碳氮储量
Ying Yong Sheng Tai Xue Bao. 2014 Apr;25(4):955-60.
10
[Differences in soil organic carbon and total nitrogen and their impact factors under different restoration patterns in the Loess Plateau.].黄土高原不同恢复模式下土壤有机碳和全氮差异及其影响因素
Ying Yong Sheng Tai Xue Bao. 2016 Mar;27(3):716-722. doi: 10.13287/j.1001-9332.201603.017.

引用本文的文献

1
Long-term vegetation restoration increases deep soil carbon storage in the Northern Loess Plateau.长期植被恢复增加了黄土高原北部深层土壤碳储量。
Sci Rep. 2021 Jul 2;11(1):13758. doi: 10.1038/s41598-021-93157-0.