| 桂林喀斯特石山50种常见植物叶片养分特征及其适应性差异 |
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| 引用本文： | 周俊妞,黄婧,马姜明,莫燕华,王海苗.桂林喀斯特石山50种常见植物叶片养分特征及其适应性差异[J].生态学报,2020,40(17):6126-6134. |
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| 作者姓名： | 周俊妞 黄婧 马姜明 莫燕华 王海苗 |
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| 作者单位： | 珍稀濒危动植物生态与环境保护教育部重点实验室, 桂林 541006;广西师范大学生命科学学院, 桂林 541006;珍稀濒危动植物生态与环境保护教育部重点实验室, 桂林 541006;广西师范大学生命科学学院, 桂林 541006;广西珍稀濒危动物生态学重点实验室, 桂林 541006 |
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| 基金项目： | 国家自然科学基金项目（31160156，31660197） |
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| 摘 要： | 选取漓江流域岩溶石山50种常见植物为研究对象，分别测定叶片中碳（C）、氮（N）、磷（P）、钾（K）及钙（Ca）含量。利用多元统计方法分析叶片养分组成特征，探讨不同生长型植物对岩溶石山生境的适应性差异，旨在为岩溶石山地区的植被恢复建设提供理论依据。方差分析表明，50种常见植物叶片中Cmass、Nmass、Pmass、Kmass、Camass、C/N、C/P和N/P等8个养分指标均存在显著差异，叶片中C、Ca含量较高，N、P含量较低，植物生长主要受P限制。相关性分析表明，C%与N%和C/N呈极显著相关，与K%和Ca%呈显著相关；N%与C/N、C/P、P%和K%极显著相关；P%与K%、C/N和N/P呈极显著相关，与C/P呈显著相关；K%和C/N呈极显著相关；C/N、N/P与C/P均呈极显著相关；其他指标之间的相关性不显著。基于叶片养分聚类分析表明，所研究的50种植物可划分为三类，即喜钙植物、高生产力植物和高抗旱植物。研究结果可为该石漠化地区植被的重建与恢复提供一定的参考依据。
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| 关 键 词： | 桂林喀斯特石山 叶片养分 相关性分析 聚类分析 |
| 收稿时间： | 2019/7/31 0:00:00 |
| 修稿时间： | 2020/5/15 0:00:00 |
Leaf nutrient characteristics and adaptability of 50 common plant species in the karst rocky mountains of Guilin |
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| ZHOU Junniu,HUANG Jing,MA Jiangming,MO Yanhu,WANG Haimiao.Leaf nutrient characteristics and adaptability of 50 common plant species in the karst rocky mountains of Guilin[J].Acta Ecologica Sinica,2020,40(17):6126-6134. |
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| Authors: | ZHOU Junniu HUANG Jing MA Jiangming MO Yanhu WANG Haimiao |
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| Institution: | Key Laboratory of Rare and Endangered Animal and Plant Ecology and Environmental Protection, Ministry of Education, Guilin 541006, China;College of Life Science, Guangxi Normal University, Guilin 541006, China;Key Laboratory of Rare and Endangered Animal and Plant Ecology and Environmental Protection, Ministry of Education, Guilin 541006, China;College of Life Science, Guangxi Normal University, Guilin 541006, China;Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Ministry of Education, Guilin 541006, China |
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| Abstract: | In this study, 50 common plant species in the karst rocky mountains of Guilin were selected, and contents of carbon (C), nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca) in leaves were measured. Multivariate analysis was adopted to characterize the nutrient compositions of the selected plants in order to explore their adaptability to the habitat of karst rocky mountains aiming to provide guidance for vegetation restoration in the karst areas. Variance analyses showed that there were significant differences among the selected plant species in terms of the indices of nutrient contents, including Cmass, Nmass, Pmass, Kmass, Camass, C/N, C/P and N/P in the leaves. The contents were highest for C and Ca, intermediate for N and P, indicating that growth of these plant species were mainly limited by P. The correlation analyses revealed that C% was extremely significantly (P < 0.01) correlated with N% and C/N, and was significantly (P < 0.05) correlated with K% and Ca%. N% was extremely significantly correlated with C/N, C/P, P% and K%. P% was extremely significantly correlated with K%, C/N and N/P, and was significantly correlated with C/P. The correlation between K% and C/N was extremely significant. C/N, N/P and C/P were extremely significantly correlated. The correlations of other indices were not significant. Cluster analyses based on leaf nutrients indicated that the selected plant species could be divided into three different adaptive types, i.e., calcium-loving plants, highly productive plants, and drought-resistant plants. Our results provide useful implications for the reconstruction and restoration of vegetation in the karst areas. |
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| Keywords: | karst rocky mountain in Guilin leaf nutrient correlation analysis cluster analysis |
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