不同气候类型下四川草地土壤有机碳空间分布及影响因素
- 1 阿坝师范学院, 四川汶川 623002
2 中国科学院成都生物研究所, 成都 610041
3 中国科学院大学, 北京 100049
网络出版日期: 2018-05-17
基金资助
中国科学院战略性先导科技专项(XDA05050307)
Spatial distribution and influencing factors of soil organic carbon among different climate types in Sichuan, China
- 1 Aba Teachers University, Wenchuan, Sichuan 623002, China
2 Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
3University of Chinese Academy of Sciences, Beijing 100049, China
Online published: 2018-05-17
Supported by
Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA05050307)
摘要
为探讨不同气候类型下, 草地土壤有机碳含量的分布特征及其影响因素, 以四川省广元市、雅安市和凉山州为研究地区, 对区域内分层土壤(0-10、10-20、20-30 cm)有机碳含量、氮含量, 根系碳含量、土壤pH值、土壤容重、草地物种组成和盖度等进行了分析, 探讨不同气候类型下引起土壤有机碳含量变化的主要原因。结果表明: (1) 3个地区草地总土壤有机碳含量差异显著, 量差依次为雅安>凉山>广元, 均出现土壤碳表聚现象, 并随深度增加而递减; (2)雅安草地不同分层土壤有机碳含量占比与广元和凉山具有明显差异, 其中雅安0-10 cm土壤有机碳含量占比显著降低, 而10-20 cm占比显著升高, 土壤有机碳随土层深度增加其降幅与后两者相比略微平缓; (3)广元10-20 cm土壤有机碳含量与草地丰富度指数正相关, 20-30 cm土壤有机碳含量与Shannon-Winner指数负相关, 而分层土壤有机碳则与土壤pH值和土壤氮含量正相关, 雅安和凉山分层土壤有机碳分别与土壤pH值和土壤氮含量正相关; (4)主成分分析显示, 影响3个地区草地土壤有机碳总量变化的主要因素是气候因素, 次要因素是植被因素。
本文引用格式
王丽华, 薛晶月, 谢雨, 吴彦 . 不同气候类型下四川草地土壤有机碳空间分布及影响因素[J]. 植物生态学报, 2018 , 42(3) : 297 -306 . DOI: 10.17521/cjpe.2017.0061
Abstract
Aims Spatial distribution and influencing factors of soil organic carbon (SOC) content among different climate types were studied to gain new insights into the estimation and dynamics of SOC.
Methods The study areas are located in the mountain meadow in Guanyuan City, Ya’an City, Liangshan Prefecture of Sichuan Province, China. Plant populations were recorded according to species, number, coverage, meantime, and soil samples (0-10, 10-20, 20-30 cm) were collected and analyzed for SOC content, the carbon content of root, soil pH value, and soil total nitrogen. The diversity indices for plant community diversity (Shannon-? Wiener index) was also calculated to analyze their relationships with SOC content among different climate types.
Important findings Results showed that: (1) SOC in three sites was significantly different and was in the order of Ya’an > Liangshan Prefecture > Guanyuan, and decreased with soil depth. (2) The percentage of SOC content in each vertical layer out of total SOC was lower in the 0-10 cm layer at Ya’an site than at the other two sites, but was higher than the other two sites in the 10-20 cm layer. (3) At Guanyuan site, SOC content in 10-20 cm was significantly positively correlated with plant species richness index and SOC content in 20-30 cm was negatively correlated with plant Shannon-Winner index, while soil pH value and soil total nitrogen were significantly positively correlated with SOC content in each layer. At Ya’an site, SOC content in each layer only had positive correlation with soil pH value, but not with other examined factors. At Liangshan Prefecture site, SOC content in each layer only had positive correlation with soil nitrogen content, but not with other examined factors. (4) Principal component analysis showed that, at Guanyuan, Ya’an and Liangshan Prefecture sites, the total contents of SOC were dominantly affected by climate, followed by vegetation type.
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