首页 | 本学科首页   官方微博 | 高级检索  
     

塞罕坝华北落叶松纯林和混交林土壤肥力质量评价
引用本文:常旭,邱新彩,刘欣,彭道黎,程顺. 塞罕坝华北落叶松纯林和混交林土壤肥力质量评价[J]. 北京林业大学学报, 2021, 43(8): 50-59. DOI: 10.12171/j.1000-1522.20210189
作者姓名:常旭  邱新彩  刘欣  彭道黎  程顺
作者单位:北京林业大学林学院,北京 100083;山西省太原国有林场,山西 太原 030003;河北省塞罕坝机械林场,河北 围场 068466
基金项目:“十三五”国家重点研发计划(2016YFD0600205)
摘    要:[目的]基于土壤质量指数(SQI),研究华北落叶松林不同混交方式对土壤肥力质量的影响,为其合理经营和地力恢复提供理论依据.[方法]该研究以河北省塞罕坝林场华北落叶松纯林(落叶松纯林)、华北落叶松白桦混交林(落桦混交林)和华北落叶松樟子松混交林(落樟混交林)为研究对象,采集和分析0~20 cm土层的土壤进行土壤理化性质、...

关 键 词:华北落叶松  混交林  土壤质量指数  评价
收稿时间:2021-05-17

Soil fertility quality evaluation of pure and mixed Larix principis-rupprechtii forests in Saihanba,Hebei Province of northern China
Chang Xu,Qiu Xincai,Liu Xin,Peng Daoli,Cheng Shun. Soil fertility quality evaluation of pure and mixed Larix principis-rupprechtii forests in Saihanba,Hebei Province of northern China[J]. Journal of Beijing Forestry University, 2021, 43(8): 50-59. DOI: 10.12171/j.1000-1522.20210189
Authors:Chang Xu  Qiu Xincai  Liu Xin  Peng Daoli  Cheng Shun
Affiliation:1.School of Forestry, Beijing Forestry University, Beijing 100083, China2.Taiyuan State-Owned Forest Farm of Shanxi Province, Taiyuan 030003, Shanxi, China3.Saihanba Mechanized Forest Farm of Hebei Province, Weichang 068466, Hebei, China
Abstract:  Objective  In this study, soil quality index (SQI) was used to evaluate the effects of different mixed modes on soil fertility quality in Larix principis-rupprechtii forests, in order to provide theoretical basis for proper management and soil fertility recovery.  Method  The pure Larix principis-rupprechtii stands (LP), mixed Larix principis-rupprechtii and Betula platyphylla stands (BL), and mixed Larix principis-rupprechtii and Pinus sylvestris var. mongolica stands (ML) were selected as the research objects in Saihanba Mechanical Forest Farm of Hebei Province, northern China. The soils of 0?20 cm soil depths were collected and analyzed to investigate the soil physicochemical and biological properties. SQI was used to evaluate soil fertility quality. SQI was determined in three steps by selecting a minimum data set (MDS) through principal component analysis, scoring the MDS indicators using non-linear scoring functions, and integrating the indicator scores into a SQI using the weighted additive equation.  Result  There were different degrees of differences in soil physicochemical and biological properties among different mixed modes. Compared with LP, the soil physicochemical and biological properties of BL were significantly improved. The soil physicochemical conditions in ML were worse than those in LP. And there were no obvious differences in soil biological properties in ML and LP. The MDS consisted of soil microbial biomass nitrogen, total phosphorus, and ammonia nitrogen among 17 soil fertility quality indicators. There were significant differences in the SQI among three mixed modes, which were showed as: BL (0.59) > LP (0.47) > ML (0.39).  Conclusion  The soil fertility quality differed significantly among varied mixed modes. The mixed Larix principis-rupprechtii and Betula platyphylla stands in Saihanba Mechanical Forest Farm can improve soil fertility. Soil fertility quality evaluation based on SQI by indexing approach can provide the basis for evaluating forest soil quality of other species and regions. 
Keywords:
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《北京林业大学学报》浏览原始摘要信息
点击此处可从《北京林业大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号