热带亚热带植物学报Issue(6)：567-575,9.DOI:10.11926/j.issn.1005-3395.2014.06.004
蕨类植物碳氮磷化学计量特征及其与土壤养分的关系
Carbon, Nitrogen and Phosphorus Stoichiometry of Two Fern Species and Their Relationships to Nutrient Availability
摘要
Abstract
In order to determine the stoichiometric traits of two fern species and their relationships to soil available nutrient, the above- and belowground parts ofDicranopteris dichotomaandBlechnum orientaleand soils at 0–10 cm and 10–20 cm layers were collected from subtropical forests in Fujian Province, respectively. The carbon (C), nitrogen (N) and phosphorus (P) contents in plant and soil were measured. The results showed that N and P contents were signiifcantly higher in aboveground than those in belowground, while C content did not show signiifcant difference, which led to lower C∶N and C∶P ratios in aboveground. Compared withB. orientale,D. dichotomahad low N and P contents in aboveground; high C content, C∶N and C∶P ratios in both above- and belowground; high coefifcient of variation and phenotypic plasticity indices of N and P contents. These stoichiometric trends may indicate thatD. dichotomahad high nutrient use efifciency by maximizing its performance, whileB. orientalehad low nutrient use efifciency by sustaining its performance. N contents in both of the above- and belowground of two fern species were not signiifcantly correlated with available N in soil at depth from 0 to 20 cm. Total P content in soil (both in 0–10 cm and 10–20 cm layers), however, was signiifcantly and positively correlated with the P contents in both parts ofD. dichotoma, but not with those inB. orientale(only P content in belowground had weak positive correlation with total P content in soil of 10–20 cm layer. Therefore, it was suggested thatD. dichotomacould be a potential indicator of soil P availability in subtropical forests.关键词
生态化学计量学/蕨类植物/植物养分/土壤养分Key words
Ecological stoichiometry/Pteridophyte/Plant nutrient/Soil nutrient引用本文复制引用
陈嘉茜,张玲玲,李炯,温达志,彭诗涛..蕨类植物碳氮磷化学计量特征及其与土壤养分的关系[J].热带亚热带植物学报,2014,(6):567-575,9.基金项目
中国科学院战略性先导科技专项(XDA05050200)；国家自然科学基金青年基金项目(31100411)联合资助 （XDA05050200）
