植物生态学报 ›› 2013, Vol. 37 ›› Issue (3): 197-208.DOI: 10.3724/SP.J.1258.2013.00020
杜虎1,2, 彭晚霞1,2, 宋同清1,2,*(), 王克林1,2, 曾馥平1,2, 鹿士杨1,2, 时伟伟1,2,3, 唐成1,2,4, 谭秋锦1,2,4
发布日期:
2014-02-12
通讯作者:
宋同清
作者简介:
E-mail: songtongq@163.com基金资助:
DU Hu1,2, PENG Wan-Xia1,2, SONG Tong-Qing1,2,*(), WANG Ke-Lin1,2, ZENG Fu-Ping1,2, LU Shi-Yang1,2, SHI Wei-Wei1,2,3, TANG Cheng1,2,4, TAN Qiu-Jin1,2,4
Published:
2014-02-12
Contact:
SONG Tong-Qing
摘要:
基于喀斯特峰丛洼地草丛、灌丛、次生林、原生林4个生态系统24个样地(20 m × 20 m)的系统取样调查, 研究了喀斯特峰丛洼地不同生态系统群落的结构组成与生物多样性特征, 选取代表植物群落和土壤性质的35个指标, 对不同生态系统及整个喀斯特脆弱生态系统植物群落与土壤主要养分、土壤矿质养分和土壤微生物间的相互关系进行了主成分分析与典范相关分析。结果表明: 沿草丛、灌丛、次生林、原生林的顺向演替发展, 重要值(importance value, IV)>10.00的科、属、种及物种多样性最大值出现在次生林, 群落结构最佳值出现在顶级群落原生林; 喀斯特峰丛洼地景观异质性高, 各生态系统影响因子不同, 土壤微生物在喀斯特脆弱生态系统处于主导地位, 其次为灌丛; 不同集团因子的典范相关分析表明, 植物多样性指标与土壤氮素、Al2O3、Fe2O3、土壤微生物生物量碳(Cmic)、真菌和细菌关系密切。因此, 在喀斯特脆弱生态系统恢复与重建过程中, 应针对不同生态系统制定相应的培育管理措施。
杜虎, 彭晚霞, 宋同清, 王克林, 曾馥平, 鹿士杨, 时伟伟, 唐成, 谭秋锦. 桂北喀斯特峰丛洼地植物群落特征及其与土壤的耦合关系. 植物生态学报, 2013, 37(3): 197-208. DOI: 10.3724/SP.J.1258.2013.00020
DU Hu, PENG Wan-Xia, SONG Tong-Qing, WANG Ke-Lin, ZENG Fu-Ping, LU Shi-Yang, SHI Wei-Wei, TANG Cheng, TAN Qiu-Jin. Plant community characteristics and its coupling relationships with soil in depressions between karst hills, North Guangxi, China. Chinese Journal of Plant Ecology, 2013, 37(3): 197-208. DOI: 10.3724/SP.J.1258.2013.00020
生态系统 Ecosystem | 科 Family | 属 Genus | 种 Species | 重要值大于10.0的科属种 Families, genera, species with importance values more than 10.0 | |||||
---|---|---|---|---|---|---|---|---|---|
科 Family | 比例 Proportion (%) | 属 Genus | 比例 Proportion (%) | 种 Species | 比例 Proportion (%) | ||||
草丛 Grassland | 11 | 20 | 24 | 2 | 90.11 | 2 | 86.61 | 2 | 86.61 |
灌丛 Scrub | 24 | 35 | 40 | 1 | 55.26 | 1 | 54.41 | 1 | 54.41 |
次生林 Secondary forest | 49 | 84 | 101 | 8 | 63.53 | 7 | 53.91 | 6 | 49.38 |
原生林 Primary forest | 50 | 79 | 98 | 5 | 49.76 | 5 | 46.57 | 5 | 42.51 |
表1 不同生态系统植物科、属、种及其重要值组成特点
Table 1 Composition characteristics of families, genera, species, and their importance values of plants in different ecosystems
生态系统 Ecosystem | 科 Family | 属 Genus | 种 Species | 重要值大于10.0的科属种 Families, genera, species with importance values more than 10.0 | |||||
---|---|---|---|---|---|---|---|---|---|
科 Family | 比例 Proportion (%) | 属 Genus | 比例 Proportion (%) | 种 Species | 比例 Proportion (%) | ||||
草丛 Grassland | 11 | 20 | 24 | 2 | 90.11 | 2 | 86.61 | 2 | 86.61 |
灌丛 Scrub | 24 | 35 | 40 | 1 | 55.26 | 1 | 54.41 | 1 | 54.41 |
次生林 Secondary forest | 49 | 84 | 101 | 8 | 63.53 | 7 | 53.91 | 6 | 49.38 |
原生林 Primary forest | 50 | 79 | 98 | 5 | 49.76 | 5 | 46.57 | 5 | 42.51 |
生态系统 Ecosystem | 高度 Height (m) | 密度 Density (ind.·m-2) | 盖度 Coverage (%) |
---|---|---|---|
草丛 Grassland | 1.13Cd | 174.84Aa | 74.17Ab |
灌丛 Scrub | 2.22Cc | 21.22Bb | 82.5Aab |
次生林 Secondary forest | 5.52Bb | 0.42Bb | 77.50Ab |
原生林 Primary forest | 8.74Aa | 0.54Bb | 88.00Aa |
表2 不同生态系统的群落结构变化
Table 2 Changes in community structure in different ecosystems
生态系统 Ecosystem | 高度 Height (m) | 密度 Density (ind.·m-2) | 盖度 Coverage (%) |
---|---|---|---|
草丛 Grassland | 1.13Cd | 174.84Aa | 74.17Ab |
灌丛 Scrub | 2.22Cc | 21.22Bb | 82.5Aab |
次生林 Secondary forest | 5.52Bb | 0.42Bb | 77.50Ab |
原生林 Primary forest | 8.74Aa | 0.54Bb | 88.00Aa |
层次 Layer | 生态系统 Ecosystem | 丰富度S Species richness | Shannon-Wiener指数 Shannon-Wiener index | Simpson指数 Simpson index | Pielou均匀度指数 Pielou evenness index |
---|---|---|---|---|---|
草本层 Grass layer | 草丛 Grassland | 7.666 7Aa | 0.871 7Aa | 0.388 3Aa | 0.375 0Bb |
灌丛 Scrub | 5.833 3Aa | 0.990 0Aa | 0.456 7Aa | 0.540 0ABab | |
次生林 Secondary forest | 6.666 7Aa | 1.380 0Aa | 0.646 7Aa | 0.765 0Aa | |
原生林 Primary forest | 5.166 7Aa | 1.211 7Aa | 0.626 7Aa | 0.791 7Aa | |
灌木层 Shrub layer | 草丛 Grassland | 3.333 3Bc | 0.475 0Bc | 0.238 3Bb | 0.246 7Bb |
灌丛 Scrub | 13.333 3Ab | 1.648 3Ab | 0.630 0Aa | 0.625 0Aa | |
次生林 Secondary forest | 21.666 7Aa | 2.545 0Aa | 0.850 0Aa | 0.828 3Aa | |
原生林 Primary forest | 13.833 3Ab | 2.190 0Aab | 0.831 7Aa | 0.860 0Aa | |
乔木层 Tree layer | 灌丛 Scrub | 12.000 0Aa | 1.928 3Aa | 0.801 7Aa | 0.781 7Aa |
次生林 Secondary forest | 14.500 0Aa | 1.705 0Aa | 0.681 7Aa | 0.645 0Aa | |
原生林 Primary forest | 17.500 0Aa | 1.526 7Aa | 0.468 3Aa | 0.433 3Aa |
表3 不同生态系统各层次物种多样性
Table 3 Species diversity of all layers in different ecosystems
层次 Layer | 生态系统 Ecosystem | 丰富度S Species richness | Shannon-Wiener指数 Shannon-Wiener index | Simpson指数 Simpson index | Pielou均匀度指数 Pielou evenness index |
---|---|---|---|---|---|
草本层 Grass layer | 草丛 Grassland | 7.666 7Aa | 0.871 7Aa | 0.388 3Aa | 0.375 0Bb |
灌丛 Scrub | 5.833 3Aa | 0.990 0Aa | 0.456 7Aa | 0.540 0ABab | |
次生林 Secondary forest | 6.666 7Aa | 1.380 0Aa | 0.646 7Aa | 0.765 0Aa | |
原生林 Primary forest | 5.166 7Aa | 1.211 7Aa | 0.626 7Aa | 0.791 7Aa | |
灌木层 Shrub layer | 草丛 Grassland | 3.333 3Bc | 0.475 0Bc | 0.238 3Bb | 0.246 7Bb |
灌丛 Scrub | 13.333 3Ab | 1.648 3Ab | 0.630 0Aa | 0.625 0Aa | |
次生林 Secondary forest | 21.666 7Aa | 2.545 0Aa | 0.850 0Aa | 0.828 3Aa | |
原生林 Primary forest | 13.833 3Ab | 2.190 0Aab | 0.831 7Aa | 0.860 0Aa | |
乔木层 Tree layer | 灌丛 Scrub | 12.000 0Aa | 1.928 3Aa | 0.801 7Aa | 0.781 7Aa |
次生林 Secondary forest | 14.500 0Aa | 1.705 0Aa | 0.681 7Aa | 0.645 0Aa | |
原生林 Primary forest | 17.500 0Aa | 1.526 7Aa | 0.468 3Aa | 0.433 3Aa |
主成分 Principal component | 生态系统 Ecosystem | 主成分因子 Principal component factor | 累积贡献率 Accumulative contribution (%) |
---|---|---|---|
第一主成分 Principal component 1 | 草丛 Grassland | Al2O3、Fe2O3、草本层均匀度及植被密度 Al2O3, Fe2O3, evenness of grass layer and density of vegetation | 0.402 4 |
灌丛 Scrub | CaO, 微生物生物量碳, 细菌, 草本层Shannon-Wiener指数、Simpson指数和均匀度, 乔木层Shannon-Wiener指数和均匀度 CaO, microbial biomass carbon, bacteria, Shannon-Wiener index, Simpson index and evenness of grass layer, Shannon-Wiener index and evenness of tree layer | 0.442 8 | |
次生林 Secondary forest | pH、土壤有机碳、速效氮、Fe2O3、MnO pH, soil organic carbon, available N, Fe2O3, MnO | 0.496 4 | |
原生林 Primary forest | 全磷、乔木层丰富度、Shannon-Wiener指数、Simpson指数、均匀度和植被密度 Total P, abundance, Shannon-Wiener index, Simpson index, evenness of tree layer and density of vegetation | 0.534 4 | |
第二主成分 Principal component 2 | 草丛 Grassland | 速效钾、灌木层丰富度、Shannon-Wiener指数、Simpson指数和均匀度 Available K, abundance, Shannon-Wiener index, Simpson index and evenness of shrub layer | 0.767 3 |
灌丛 Scrub | Al2O3、Fe2O3、灌木层丰富度、群落高度 Al2O3, Fe2O3, abundance of shrub layer, height of community | 0.751 8 | |
次生林 Secondary forest | 植被密度 Density of vegetation | 0.716 5 | |
原生林 Primary forest | 速效钾 Available K | 0.776 8 | |
第三主成分 Principal component 3 | 草丛 Grassland | 速效磷 Available P | 0.885 1 |
灌丛 Scrub | 速效磷 Available P | 0.885 8 | |
次生林 Secondary forest | 微生物生物量氮 Microbial biomass nitrogen | 0.880 2 |
表4 桂北喀斯特峰丛洼地不同生态系统的主要影响因子分析
Table 4 Analysis of the main impact factors of different ecosystems in depressions between karst hills, North Guangxi
主成分 Principal component | 生态系统 Ecosystem | 主成分因子 Principal component factor | 累积贡献率 Accumulative contribution (%) |
---|---|---|---|
第一主成分 Principal component 1 | 草丛 Grassland | Al2O3、Fe2O3、草本层均匀度及植被密度 Al2O3, Fe2O3, evenness of grass layer and density of vegetation | 0.402 4 |
灌丛 Scrub | CaO, 微生物生物量碳, 细菌, 草本层Shannon-Wiener指数、Simpson指数和均匀度, 乔木层Shannon-Wiener指数和均匀度 CaO, microbial biomass carbon, bacteria, Shannon-Wiener index, Simpson index and evenness of grass layer, Shannon-Wiener index and evenness of tree layer | 0.442 8 | |
次生林 Secondary forest | pH、土壤有机碳、速效氮、Fe2O3、MnO pH, soil organic carbon, available N, Fe2O3, MnO | 0.496 4 | |
原生林 Primary forest | 全磷、乔木层丰富度、Shannon-Wiener指数、Simpson指数、均匀度和植被密度 Total P, abundance, Shannon-Wiener index, Simpson index, evenness of tree layer and density of vegetation | 0.534 4 | |
第二主成分 Principal component 2 | 草丛 Grassland | 速效钾、灌木层丰富度、Shannon-Wiener指数、Simpson指数和均匀度 Available K, abundance, Shannon-Wiener index, Simpson index and evenness of shrub layer | 0.767 3 |
灌丛 Scrub | Al2O3、Fe2O3、灌木层丰富度、群落高度 Al2O3, Fe2O3, abundance of shrub layer, height of community | 0.751 8 | |
次生林 Secondary forest | 植被密度 Density of vegetation | 0.716 5 | |
原生林 Primary forest | 速效钾 Available K | 0.776 8 | |
第三主成分 Principal component 3 | 草丛 Grassland | 速效磷 Available P | 0.885 1 |
灌丛 Scrub | 速效磷 Available P | 0.885 8 | |
次生林 Secondary forest | 微生物生物量氮 Microbial biomass nitrogen | 0.880 2 |
层次 Layer | 因子 Factor | PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 |
---|---|---|---|---|---|---|---|---|
草本层 Grass layer | 丰富度 Abundance | -0.225 | 0.175 | -0.130 | 0.836 | 0.239 | 0.093 | -0.008 |
Shannon-Wiener指数 Shannon-Wiener index indexinindexShannon-WienerShannon-WienerShannon-Wiener index | -0.088 | -0.175 | -0.032 | 0.938 | -0.067 | -0.156 | -0.125 | |
Simpson指数 Simpson index | 0.067 | -0.278 | 0.016 | 0.903 | -0.124 | -0.154 | -0.127 | |
Pielou均匀度 Pielou evenness | 0.342 | -0.449 | 0.057 | 0.713 | -0.206 | -0.262 | -0.028 | |
灌木层 Shrub layer | 丰富度 Abundance | -0.271 | -0.847 | -0.059 | 0.178 | 0.166 | -0.279 | 0.103 |
Shannon-Wiener指数 Shannon-Wiener index | -0.134 | -0.877 | -0.163 | 0.058 | 0.220 | -0.290 | -0.119 | |
Simpson指数 Simpson index | -0.022 | -0.835 | -0.195 | 0.098 | 0.300 | -0.299 | -0.158 | |
Pielou均匀度 Pielou evenness | 0.087 | -0.821 | -0.176 | 0.099 | 0.283 | -0.311 | -0.181 | |
乔木层 Tree layer | 丰富度 Abundance | 0.484 | -0.234 | -0.091 | 0.046 | -0.089 | -0.777 | -0.212 |
Shannon-Wiener指数 Shannon-Wiener index | 0.328 | -0.213 | 0.089 | 0.072 | -0.049 | -0.891 | -0.077 | |
Simpson指数 Simpson index | 0.207 | -0.233 | 0.173 | 0.044 | 0.001 | -0.915 | 0.051 | |
Pielou均匀度 Pielou evenness | 0.176 | -0.219 | 0.201 | 0.066 | -0.014 | -0.909 | 0.047 | |
植被层 Vegetation layer | 盖度 Coverage (%) | 0.267 | -0.287 | 0.224 | -0.350 | -0.007 | -0.153 | -0.486 |
高度 Height (m) | 0.300 | -0.799 | -0.232 | 0.010 | -0.239 | 0.072 | -0.320 | |
密度 Density (ind.·m-2) | -0.027 | 0.747 | -0.041 | -0.196 | 0.219 | 0.459 | -0.011 | |
土壤层 Soil layer | pH | -0.052 | -0.230 | -0.428 | 0.543 | -0.477 | 0.199 | 0.209 |
土壤有机碳 Soil organic carbon (g·kg-1) | 0.371 | -0.664 | -0.183 | 0.040 | -0.352 | -0.189 | -0.172 | |
全氮 Total N (g·kg-1) | 0.321 | -0.831 | -0.104 | 0.015 | -0.246 | 0.161 | 0.214 | |
全磷 Total P (g·kg-1) | 0.684 | 0.119 | -0.041 | 0.020 | 0.045 | -0.565 | -0.164 | |
全钾 Total K (g·kg-1) | -0.170 | 0.697 | -0.031 | -0.224 | 0.305 | -0.405 | 0.180 | |
速效氮 Available N (mg·kg-1) | 0.781 | -0.446 | -0.146 | 0.013 | -0.243 | -0.248 | -0.046 | |
速效磷 Available P (mg·kg-1) | 0.832 | -0.200 | -0.190 | -0.037 | -0.213 | -0.273 | -0.032 | |
速效钾 Available K (mg·kg-1) | -0.099 | 0.221 | 0.103 | -0.283 | 0.127 | -0.051 | 0.883 | |
SiO2 (%) | 0.426 | 0.134 | 0.426 | -0.005 | 0.556 | -0.093 | -0.333 | |
Al2O3 (%) | -0.347 | 0.220 | 0.867 | -0.130 | 0.023 | -0.051 | 0.028 | |
Fe2O3 (%) | -0.224 | 0.140 | 0.872 | -0.303 | 0.069 | -0.151 | 0.021 | |
CaO (%) | 0.136 | 0.036 | -0.476 | 0.030 | -0.758 | -0.061 | -0.286 | |
MgO (%) | 0.076 | 0.087 | 0.018 | 0.010 | -0.910 | -0.082 | -0.052 | |
MnO (%) | -0.057 | 0.221 | 0.852 | 0.174 | 0.105 | -0.132 | 0.061 | |
微生物生物量碳 Microbial biomass carbon (mg·kg-1) | 0.730 | 0.083 | -0.246 | -0.009 | -0.020 | -0.306 | -0.496 | |
微生物生物量氮 Microbial biomass nitrogen (mg·kg-1) | 0.288 | -0.208 | -0.117 | 0.178 | -0.427 | -0.523 | -0.549 | |
微生物生物量磷 Microbial biomass phosphorus (mg·kg-1) | 0.157 | 0.055 | 0.362 | 0.196 | -0.570 | -0.550 | -0.290 | |
真菌 Fungi (cfu·g-1) | 0.960 | -0.045 | -0.069 | -0.021 | -0.001 | -0.130 | -0.046 | |
细菌 Bacteria (cfu·g-1) | 0.965 | -0.049 | -0.041 | -0.044 | -0.024 | -0.102 | 0.069 | |
放线菌 Actinomycetes (cfu·g-1) | 0.917 | 0.035 | -0.081 | -0.034 | 0.046 | -0.120 | -0.176 | |
方差贡献 Variance contribution | 6.623 | 6.852 | 3.473 | 3.774 | 3.348 | 5.271 | 2.339 | |
累积贡献 Accumulative contribution | 0.189 | 0.385 | 0.484 | 0.592 | 0.688 | 0.838 | 0.905 |
表5 桂北喀斯特峰丛洼地脆弱的生态系统的主成分分析
Table 5 Principal component analysis of fragile ecosystems in depressions between karst hills, North Guangxi
层次 Layer | 因子 Factor | PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 |
---|---|---|---|---|---|---|---|---|
草本层 Grass layer | 丰富度 Abundance | -0.225 | 0.175 | -0.130 | 0.836 | 0.239 | 0.093 | -0.008 |
Shannon-Wiener指数 Shannon-Wiener index indexinindexShannon-WienerShannon-WienerShannon-Wiener index | -0.088 | -0.175 | -0.032 | 0.938 | -0.067 | -0.156 | -0.125 | |
Simpson指数 Simpson index | 0.067 | -0.278 | 0.016 | 0.903 | -0.124 | -0.154 | -0.127 | |
Pielou均匀度 Pielou evenness | 0.342 | -0.449 | 0.057 | 0.713 | -0.206 | -0.262 | -0.028 | |
灌木层 Shrub layer | 丰富度 Abundance | -0.271 | -0.847 | -0.059 | 0.178 | 0.166 | -0.279 | 0.103 |
Shannon-Wiener指数 Shannon-Wiener index | -0.134 | -0.877 | -0.163 | 0.058 | 0.220 | -0.290 | -0.119 | |
Simpson指数 Simpson index | -0.022 | -0.835 | -0.195 | 0.098 | 0.300 | -0.299 | -0.158 | |
Pielou均匀度 Pielou evenness | 0.087 | -0.821 | -0.176 | 0.099 | 0.283 | -0.311 | -0.181 | |
乔木层 Tree layer | 丰富度 Abundance | 0.484 | -0.234 | -0.091 | 0.046 | -0.089 | -0.777 | -0.212 |
Shannon-Wiener指数 Shannon-Wiener index | 0.328 | -0.213 | 0.089 | 0.072 | -0.049 | -0.891 | -0.077 | |
Simpson指数 Simpson index | 0.207 | -0.233 | 0.173 | 0.044 | 0.001 | -0.915 | 0.051 | |
Pielou均匀度 Pielou evenness | 0.176 | -0.219 | 0.201 | 0.066 | -0.014 | -0.909 | 0.047 | |
植被层 Vegetation layer | 盖度 Coverage (%) | 0.267 | -0.287 | 0.224 | -0.350 | -0.007 | -0.153 | -0.486 |
高度 Height (m) | 0.300 | -0.799 | -0.232 | 0.010 | -0.239 | 0.072 | -0.320 | |
密度 Density (ind.·m-2) | -0.027 | 0.747 | -0.041 | -0.196 | 0.219 | 0.459 | -0.011 | |
土壤层 Soil layer | pH | -0.052 | -0.230 | -0.428 | 0.543 | -0.477 | 0.199 | 0.209 |
土壤有机碳 Soil organic carbon (g·kg-1) | 0.371 | -0.664 | -0.183 | 0.040 | -0.352 | -0.189 | -0.172 | |
全氮 Total N (g·kg-1) | 0.321 | -0.831 | -0.104 | 0.015 | -0.246 | 0.161 | 0.214 | |
全磷 Total P (g·kg-1) | 0.684 | 0.119 | -0.041 | 0.020 | 0.045 | -0.565 | -0.164 | |
全钾 Total K (g·kg-1) | -0.170 | 0.697 | -0.031 | -0.224 | 0.305 | -0.405 | 0.180 | |
速效氮 Available N (mg·kg-1) | 0.781 | -0.446 | -0.146 | 0.013 | -0.243 | -0.248 | -0.046 | |
速效磷 Available P (mg·kg-1) | 0.832 | -0.200 | -0.190 | -0.037 | -0.213 | -0.273 | -0.032 | |
速效钾 Available K (mg·kg-1) | -0.099 | 0.221 | 0.103 | -0.283 | 0.127 | -0.051 | 0.883 | |
SiO2 (%) | 0.426 | 0.134 | 0.426 | -0.005 | 0.556 | -0.093 | -0.333 | |
Al2O3 (%) | -0.347 | 0.220 | 0.867 | -0.130 | 0.023 | -0.051 | 0.028 | |
Fe2O3 (%) | -0.224 | 0.140 | 0.872 | -0.303 | 0.069 | -0.151 | 0.021 | |
CaO (%) | 0.136 | 0.036 | -0.476 | 0.030 | -0.758 | -0.061 | -0.286 | |
MgO (%) | 0.076 | 0.087 | 0.018 | 0.010 | -0.910 | -0.082 | -0.052 | |
MnO (%) | -0.057 | 0.221 | 0.852 | 0.174 | 0.105 | -0.132 | 0.061 | |
微生物生物量碳 Microbial biomass carbon (mg·kg-1) | 0.730 | 0.083 | -0.246 | -0.009 | -0.020 | -0.306 | -0.496 | |
微生物生物量氮 Microbial biomass nitrogen (mg·kg-1) | 0.288 | -0.208 | -0.117 | 0.178 | -0.427 | -0.523 | -0.549 | |
微生物生物量磷 Microbial biomass phosphorus (mg·kg-1) | 0.157 | 0.055 | 0.362 | 0.196 | -0.570 | -0.550 | -0.290 | |
真菌 Fungi (cfu·g-1) | 0.960 | -0.045 | -0.069 | -0.021 | -0.001 | -0.130 | -0.046 | |
细菌 Bacteria (cfu·g-1) | 0.965 | -0.049 | -0.041 | -0.044 | -0.024 | -0.102 | 0.069 | |
放线菌 Actinomycetes (cfu·g-1) | 0.917 | 0.035 | -0.081 | -0.034 | 0.046 | -0.120 | -0.176 | |
方差贡献 Variance contribution | 6.623 | 6.852 | 3.473 | 3.774 | 3.348 | 5.271 | 2.339 | |
累积贡献 Accumulative contribution | 0.189 | 0.385 | 0.484 | 0.592 | 0.688 | 0.838 | 0.905 |
因子 Factor | 典型向量 Typical vector | 典范相关系数 Canonical correlation coefficient | 特征值Eigenvalue | 卡方值 Chi-square value | df | p | 累积贡献率 Accumulative contribution (%) |
---|---|---|---|---|---|---|---|
土壤主要养分及pH Soil main nutrients and pH | 1 | 1.000 0 | 9.555 4 | 237.579 8 | 120 | 0.000 1 | 41.545 4 |
2 | 0.988 6 | 4.089 6 | 121.043 4 | 98 | 0.057 2 | 59.326 3 | |
3 | 0.974 5 | 2.960 1 | 79.347 8 | 78 | 0.436 2 | 72.196 2 | |
4 | 0.904 1 | 2.354 8 | 46.451 9 | 60 | 0.900 1 | 82.434 4 | |
土壤矿质养分 Soil mineral nutrients | 1 | 0.995 9 | 7.517 2 | 149.118 5 | 90 | 0.000 1 | 35.796 2 |
2 | 0.972 4 | 3.849 4 | 91.381 2 | 70 | 0.044 1 | 54.126 5 | |
3 | 0.926 6 | 2.808 8 | 56.457 0 | 52 | 0.312 0 | 67.502 0 | |
4 | 0.886 5 | 2.589 5 | 32.980 4 | 36 | 0.613 0 | 79.832 9 | |
土壤微生物 Soil microbe | 1 | 0.997 5 | 8.636 7 | 189.495 6 | 90 | 0.000 1 | 41.127 1 |
2 | 0.992 5 | 4.369 8 | 125.889 0 | 70 | 0.000 1 | 61.935 5 | |
3 | 0.968 1 | 2.731 8 | 75.497 1 | 52 | 0.018 3 | 74.944 3 | |
4 | 0.936 6 | 2.139 6 | 42.282 5 | 36 | 0.218 0 | 85.132 9 |
表6 桂北喀斯特峰丛洼地不同生态系统植被与土壤主要养分、矿质养分、微生物的典范相关分析
Table 6 Canonical correlation analysis between vegetation and soil main nutrients, mineral nutrients, microbe of different ecosystems in depressions between karst hills, North Guangxi
因子 Factor | 典型向量 Typical vector | 典范相关系数 Canonical correlation coefficient | 特征值Eigenvalue | 卡方值 Chi-square value | df | p | 累积贡献率 Accumulative contribution (%) |
---|---|---|---|---|---|---|---|
土壤主要养分及pH Soil main nutrients and pH | 1 | 1.000 0 | 9.555 4 | 237.579 8 | 120 | 0.000 1 | 41.545 4 |
2 | 0.988 6 | 4.089 6 | 121.043 4 | 98 | 0.057 2 | 59.326 3 | |
3 | 0.974 5 | 2.960 1 | 79.347 8 | 78 | 0.436 2 | 72.196 2 | |
4 | 0.904 1 | 2.354 8 | 46.451 9 | 60 | 0.900 1 | 82.434 4 | |
土壤矿质养分 Soil mineral nutrients | 1 | 0.995 9 | 7.517 2 | 149.118 5 | 90 | 0.000 1 | 35.796 2 |
2 | 0.972 4 | 3.849 4 | 91.381 2 | 70 | 0.044 1 | 54.126 5 | |
3 | 0.926 6 | 2.808 8 | 56.457 0 | 52 | 0.312 0 | 67.502 0 | |
4 | 0.886 5 | 2.589 5 | 32.980 4 | 36 | 0.613 0 | 79.832 9 | |
土壤微生物 Soil microbe | 1 | 0.997 5 | 8.636 7 | 189.495 6 | 90 | 0.000 1 | 41.127 1 |
2 | 0.992 5 | 4.369 8 | 125.889 0 | 70 | 0.000 1 | 61.935 5 | |
3 | 0.968 1 | 2.731 8 | 75.497 1 | 52 | 0.018 3 | 74.944 3 | |
4 | 0.936 6 | 2.139 6 | 42.282 5 | 36 | 0.218 0 | 85.132 9 |
因子 Factor | 典型变量构成 Composition of typical variables |
---|---|
土壤主要养分及pH Soil main nutrients and pH | V1 = -0.137X1-0.1098X2-0.2617X3+0.5216X4-0.2499X5-1.3935X6+0.0056X7+1.5855X8+0.509X9+0.2548X10-2.3453X11+2.239X12- 0.0352X13-0.02714+0.4216X15 |
V2 = 0.2499X1+0.1348X2-1.1462X3+1.4949X4+0.1406X5-0.1053X6+0.2959X7-0.4941X8-2.1574X9+3.6678X10+0.5941X11-2.7192X12- 0.1289X13 + 1.0272X14-0.0268X15 | |
V3 = -0.852X1+0.5144X2+2.4197X3-2.3717X4+0.2662X5+0.3071X6-0.5941X7+0.2211X8+4.4884X9-6.09X10-2.5247X11+ 5.1116X12- 0.2245X13-0..879X14 +0.192X15 | |
V4 = 0.3481X1+1.4801X2-2.094X3+0.8426X4-1.5269X5+1.7259X6-0.683X7+0.071X8-1.98X9+0.55123X10-6.031X11+1.4849X12+ 0.1804X13 -0.3788X14-0.7215X15 | |
N1 = -0.1374Y1-0.2421Y2-0.6092Y3+0.393Y4-0.3035Y5+0.6549Y6+0.3061Y7+0.0457Y8 | |
N2 = 0.1443Y1-0.5119Y2+0.6093Y3-0.2279Y4-0.243Y5+0.7432Y6-0.1349Y7-0.2359Y8 | |
N3 = 0.5109Y1+0.6613Y2+0.441Y3+0.2005Y4+1.0026Y5-0.9215Y6+0.192Y7-0.8678Y8 | |
N4 = 0.2704Y1-0.4535Y2-1.2598Y3-0.4309Y4-1.0218Y5-0.1078Y6+0.8623Y7-0.1978Y8 | |
土壤矿质养分 Soil mineral nutrients | V1 = 1.3328X1-1.4716X2-0.1405X3+1.626X4+0.0186X5+1.7177X6-0.0929X7-1.5137X8+1.0128X9-6.2488X10+8.0451X11- 2.8657X12 +0.9783X13-0.535X14+0.4505X15 |
V2 = 0.2874X1-5.0447X2+6.4324X3-0.7117X4-1.6101X5+4.1367X6-1.7886X7-1.3492X8-2.1722X9+1.8539X10+2.3722X11-1.6156X12- 0.1611X13 +0.2701X14+0.913X15 | |
V3 = 0.092X1-0.2851X2-1.0624X3+1.145X4-1.0633X5+2.0744X6-2.4406X7+1.891X8-3.2077X9+5.9101X10-1.1451X11-2.0214X12+ 0.5667X13 -0.5273X14+0.1106X15 | |
V4 = -0.0587X1+0.8078X2+0.6425X3-1.593X4+0.2789X5-0.4447X6-1.9623X7+1.3052X8-0.3898X9+0.5193X10+1.1796X11-1.8717X12- 0.215X13-0.2506X14-1.7498X15 | |
M1 = -0.6547Z1-0.7389Z2+0.5349Z3-0.6788Z4-0.3006Z5+0.7029Z6 | |
M2 = 0.4102Z1+0.8064Z2-1.3247Z3-0.789Z4+1.1617Z5+0.4722Z6 | |
M3 = 0.774Z1-0.95792+1.658Z3-0.3802Z4+0.5498Z5-0.8751Z6 | |
M4 = -0.6507Z1+0.2712Z2+0.6565Z3+0.1822Z4+0.1772Z5-0.2587Z6 | |
土壤微生物 Soil microbe | V1 = -0.0927X1+2.5778X2-4.191X3+2.0699X4-0.4691X5+0.5802X6+1.0912X7-0.9447X8-2.7372X9+2.7691X10+3.885X11- 5.0184X12 +0.0863X13-0.335X14+0.4352X15 |
V2 = 0.4468X1-1.7554X2+3.1339X3-1.8526X4-0.0248X5+2.5788X6-0.9207X7-1.4121X8+2.1194X9-3.3321X10-2.3902X11+ 3.7412X12 +0.3095X13-0.5088X14-0.6302X15 | |
V3 = -0.3023X1+1.6174X2-1.4289X3+0.6059X4-2.8266X5+4.6108X6-0.361X7-1.5005X8-1.4893X9+4.1451X10+0.0055X11- 2.6993X12 +0.1855X13-0.8379X14+0.3584X15 | |
V4 = -0.5843X1+2.0593X2-1.5748X3-1.6356X4+2.9295X5-6.8542X6+2.2734X7+2.8808X8+5.1672X9-5.2043X10-10.3873X11+ 10.5614X12 -0.2834X13-0.3606X14-0.6308X15 | |
B1 = 0.7056W1-1.1036W2+0.097W3-2.6388W4+1.8221W5+0.1609W6 | |
B2 = -0.9062W1+0.4258W2-0.1223W3+4.1721W4-4.1461W5-0.2463W6 | |
B3 = 2.4987W1-1.4252W2+0.7448W3-2.0212W4+0.5379W5-0.1231W6 | |
B4 = 1.386W1+0.7722W2-1.2757W3-4.5789W4+3.5505W5-0.1534W6 |
表7 植被与土壤主要养分、矿质养分、微生物之间的典型变量构成
Table 7 Composition of typical variables between vegetation and soil main nutrients, mineral nutrients, microbe
因子 Factor | 典型变量构成 Composition of typical variables |
---|---|
土壤主要养分及pH Soil main nutrients and pH | V1 = -0.137X1-0.1098X2-0.2617X3+0.5216X4-0.2499X5-1.3935X6+0.0056X7+1.5855X8+0.509X9+0.2548X10-2.3453X11+2.239X12- 0.0352X13-0.02714+0.4216X15 |
V2 = 0.2499X1+0.1348X2-1.1462X3+1.4949X4+0.1406X5-0.1053X6+0.2959X7-0.4941X8-2.1574X9+3.6678X10+0.5941X11-2.7192X12- 0.1289X13 + 1.0272X14-0.0268X15 | |
V3 = -0.852X1+0.5144X2+2.4197X3-2.3717X4+0.2662X5+0.3071X6-0.5941X7+0.2211X8+4.4884X9-6.09X10-2.5247X11+ 5.1116X12- 0.2245X13-0..879X14 +0.192X15 | |
V4 = 0.3481X1+1.4801X2-2.094X3+0.8426X4-1.5269X5+1.7259X6-0.683X7+0.071X8-1.98X9+0.55123X10-6.031X11+1.4849X12+ 0.1804X13 -0.3788X14-0.7215X15 | |
N1 = -0.1374Y1-0.2421Y2-0.6092Y3+0.393Y4-0.3035Y5+0.6549Y6+0.3061Y7+0.0457Y8 | |
N2 = 0.1443Y1-0.5119Y2+0.6093Y3-0.2279Y4-0.243Y5+0.7432Y6-0.1349Y7-0.2359Y8 | |
N3 = 0.5109Y1+0.6613Y2+0.441Y3+0.2005Y4+1.0026Y5-0.9215Y6+0.192Y7-0.8678Y8 | |
N4 = 0.2704Y1-0.4535Y2-1.2598Y3-0.4309Y4-1.0218Y5-0.1078Y6+0.8623Y7-0.1978Y8 | |
土壤矿质养分 Soil mineral nutrients | V1 = 1.3328X1-1.4716X2-0.1405X3+1.626X4+0.0186X5+1.7177X6-0.0929X7-1.5137X8+1.0128X9-6.2488X10+8.0451X11- 2.8657X12 +0.9783X13-0.535X14+0.4505X15 |
V2 = 0.2874X1-5.0447X2+6.4324X3-0.7117X4-1.6101X5+4.1367X6-1.7886X7-1.3492X8-2.1722X9+1.8539X10+2.3722X11-1.6156X12- 0.1611X13 +0.2701X14+0.913X15 | |
V3 = 0.092X1-0.2851X2-1.0624X3+1.145X4-1.0633X5+2.0744X6-2.4406X7+1.891X8-3.2077X9+5.9101X10-1.1451X11-2.0214X12+ 0.5667X13 -0.5273X14+0.1106X15 | |
V4 = -0.0587X1+0.8078X2+0.6425X3-1.593X4+0.2789X5-0.4447X6-1.9623X7+1.3052X8-0.3898X9+0.5193X10+1.1796X11-1.8717X12- 0.215X13-0.2506X14-1.7498X15 | |
M1 = -0.6547Z1-0.7389Z2+0.5349Z3-0.6788Z4-0.3006Z5+0.7029Z6 | |
M2 = 0.4102Z1+0.8064Z2-1.3247Z3-0.789Z4+1.1617Z5+0.4722Z6 | |
M3 = 0.774Z1-0.95792+1.658Z3-0.3802Z4+0.5498Z5-0.8751Z6 | |
M4 = -0.6507Z1+0.2712Z2+0.6565Z3+0.1822Z4+0.1772Z5-0.2587Z6 | |
土壤微生物 Soil microbe | V1 = -0.0927X1+2.5778X2-4.191X3+2.0699X4-0.4691X5+0.5802X6+1.0912X7-0.9447X8-2.7372X9+2.7691X10+3.885X11- 5.0184X12 +0.0863X13-0.335X14+0.4352X15 |
V2 = 0.4468X1-1.7554X2+3.1339X3-1.8526X4-0.0248X5+2.5788X6-0.9207X7-1.4121X8+2.1194X9-3.3321X10-2.3902X11+ 3.7412X12 +0.3095X13-0.5088X14-0.6302X15 | |
V3 = -0.3023X1+1.6174X2-1.4289X3+0.6059X4-2.8266X5+4.6108X6-0.361X7-1.5005X8-1.4893X9+4.1451X10+0.0055X11- 2.6993X12 +0.1855X13-0.8379X14+0.3584X15 | |
V4 = -0.5843X1+2.0593X2-1.5748X3-1.6356X4+2.9295X5-6.8542X6+2.2734X7+2.8808X8+5.1672X9-5.2043X10-10.3873X11+ 10.5614X12 -0.2834X13-0.3606X14-0.6308X15 | |
B1 = 0.7056W1-1.1036W2+0.097W3-2.6388W4+1.8221W5+0.1609W6 | |
B2 = -0.9062W1+0.4258W2-0.1223W3+4.1721W4-4.1461W5-0.2463W6 | |
B3 = 2.4987W1-1.4252W2+0.7448W3-2.0212W4+0.5379W5-0.1231W6 | |
B4 = 1.386W1+0.7722W2-1.2757W3-4.5789W4+3.5505W5-0.1534W6 |
因子 Factor | 观察值的变异能由典型变量解释的比例 Proportion of variation of observed value can be explained by typical variable (%) | 观察值的变异能被它们相对的典型变量所解释的比例 Proportion of variation of observed value can be explained by opposite typical variable (%) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I | II | III | I′ | II′ | III′ | I | II | III | I′ | II′ | III′ | ||
土壤主要养分及pH Soil main nutrients and pH | 11.32 | 17.07 | 6.50 | 26.44 | 37.62 | 8.74 | 11.32 | 16.69 | 6.17 | 26.44 | 36.77 | 8.30 | |
土壤矿质养分 Soil mineral nutrients | 2.40 | 4.35 | 10.72 | 30.13 | 13.97 | 12.23 | 2.38 | 4.11 | 9.21 | 29.88 | 13.21 | 10.50 | |
土壤微生物 Soil microbe | 25.10 | 4.36 | 6.95 | 39.91 | 30.61 | 5.28 | 24.98 | 4.30 | 6.51 | 39.51 | 29.76 | 4.87 |
表8 桂北喀斯特峰丛洼地生态系统植被与土壤因子的典型冗余分析
Table 8 Typical redundancy analysis of vegetation and soil factors for ecosystems in depressions between karst hills, North Guangxi
因子 Factor | 观察值的变异能由典型变量解释的比例 Proportion of variation of observed value can be explained by typical variable (%) | 观察值的变异能被它们相对的典型变量所解释的比例 Proportion of variation of observed value can be explained by opposite typical variable (%) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I | II | III | I′ | II′ | III′ | I | II | III | I′ | II′ | III′ | ||
土壤主要养分及pH Soil main nutrients and pH | 11.32 | 17.07 | 6.50 | 26.44 | 37.62 | 8.74 | 11.32 | 16.69 | 6.17 | 26.44 | 36.77 | 8.30 | |
土壤矿质养分 Soil mineral nutrients | 2.40 | 4.35 | 10.72 | 30.13 | 13.97 | 12.23 | 2.38 | 4.11 | 9.21 | 29.88 | 13.21 | 10.50 | |
土壤微生物 Soil microbe | 25.10 | 4.36 | 6.95 | 39.91 | 30.61 | 5.28 | 24.98 | 4.30 | 6.51 | 39.51 | 29.76 | 4.87 |
[1] | Bao SD (2000). Soil Assay on Properties of Agro-Chemistry.3rd edn. China Agriculture Press, Beijing. (in Chinese) |
[ 鲍士旦 (2000). 土壤农化分析. 第三版. 中国农业出版社, 北京.] | |
[2] | Baskin Y (1995). Ecosystem function of biodiversity. Biological Science, 44, 657-660. |
[3] | Burke A (2001). Classification and ordination of plant communities of the Naukluft Mountains, Namibia. Journal of Vegetation Science, 12, 53-60. |
[4] | He XY, Wang KL, Xu LL, Chen HS, Zhang W (2008). Soil microbial metabolic diversity and its seasonal variations along a vegetation succession in a karst area: a case study in southwest China. Acta Scientiae Circumstantiae, 28, 2590-2596. (in Chinese with English abstract) |
[ 何寻阳, 王克林, 徐丽丽, 陈洪松, 张伟 (2008). 喀斯特地区植被不同演替阶段土壤细菌代谢多样性及其季节变化. 环境科学学报, 28, 2590-2596.] | |
[5] | Jiao JY, Ma XH, Bai WJ, Jiao F, Wen ZM (2005). Correspondence analysis of vegetation communities and soil environmental factors on abandoned cropland on hilly-gullied loess plateau. Acta Pedologica Sinica, 42, 744-752. (in Chinese with English abstract) |
[ 焦菊英, 马祥华, 白文娟, 焦峰, 温仲明 (2005). 黄土丘陵沟壑区退耕地植物群落与土壤环境因子的对应分析. 土壤学报, 42, 744-752.] | |
[6] | Lan AJ, Zhang BP, Xiong KN, An YL (2003). Spatial pattern of the fragile karst environment in southwest Guizhou Province. Geographical Research, 22, 733-741. (in Chinese with English abstract) |
[ 兰安军, 张百平, 熊康宁, 安裕伦 (2003). 黔西南脆弱喀斯特生态环境空间格局分析. 地理研究, 22, 733-741.] | |
[7] |
Lehman CL, Tilman D (2000). Biodiversity, stability, and productivity in competitive communities. The American Naturalist, 156, 534-532.
URL PMID |
[8] | Liu GS (1997). Soil Physical and Chemical Analysis and Description of Soil Profile. China Standards Publishing House, Beijing. (in Chinese) |
[ 刘光崧 (1997). 土壤理化分析与剖面描述, 中国标准出版社, 北京.] | |
[9] | Liu SL, Ma KM, Fu BJ, Kang YX, Zhang JY, Zhang YX (2003). The relationship between landform, soil characteristics and plant community structure in the Donglingshan Mountain region, Beijing. Acta Phytoecologica Sinica, 27, 496-502. (in Chinese with English abstract) |
[ 刘世梁, 马克明, 傅伯杰, 康永祥, 张洁瑜, 张育新 (2003). 北京东灵山地区地形土壤因子与植物群落关系研究. 植物生态学报, 27, 496-502.] | |
[10] | Ma KP, Huang JH, Yu SL, Chen LZ (1995). Plant community diversity in Dongling Mountain, Beijing, China. II. Species richness, evenness and species diversities. Acta Ecologica Sinica, 15, 268-277. (in Chinese with English abstract) |
[ 马克平, 黄建辉, 于顺利, 陈灵芝 (1995). 北京东灵山地区植物群落多样性的研究II: 丰富度、均匀度和物种多样性指数. 生态学报, 15, 268-277.] | |
[11] | Peng WX, Song TQ, Zeng FP, Wang KL, Liu L (2011). Spatial heterogeneity of vegetation in karst mixed forest of evergreen and deciduous broadleaf. Acta Botanica Boreali- Occidentalia Sinica, 31, 815-822. (in Chinese with English abstract) |
[ 彭晚霞, 宋同清, 曾馥平, 王克林, 刘璐 (2011). 喀斯特常绿落叶阔叶混交林植被的空间异质性. 西北植物学报, 31, 815-822.] | |
[12] | Peng WX, Wang KL, Song TQ, Zeng FP, Wang JR (2008). Controlling and restoration models of complex degradation of vulnerable karst ecosystem. Acta Ecologica Sinica, 28, 811-820. (in Chinese with English abstract) |
[ 彭晚霞, 王克林, 宋同清, 曾馥平, 王久荣 (2008). 喀斯特脆弱生态系统复合退化控制与重建模式. 生态学报, 28, 811-820.] | |
[13] | Song CY, Guo K (2007). Relationship between plant community and soil on the inter dune lowland in the middle of Otingdag sand land. Journal of Plant Ecology (Chinese Version), 31, 40-49. (in Chinese with English abstract) |
[ 宋创业, 郭柯 (2007). 浑善达克沙地中部丘间低地植物群落分布与土壤环境关系. 植物生态学报, 31, 40-49.] | |
[14] | Song TQ, Peng WX, Zeng FP, Wang KL, Qin WG, Tan WN, Liu L, Du H, Lu SY (2010). Spatial pattern of forest communities and environmental interpretation in Mulun National Nature Reserve, karst cluster-peak depression region. Chinese Journal of Plant Ecology, 34, 298-308. (in Chinese with English abstract) |
[ 宋同清, 彭晚霞, 曾馥平, 王克林, 覃文更, 谭卫宁, 刘璐, 杜虎, 鹿士杨 (2010). 木论喀斯特峰丛洼地森林群落空间格局及环境解释. 植物生态学报, 34, 298-308.] | |
[15] | Tilman D, Doeing JA (1994). Biodiversity and stability in grasslands. Nature, 367, 363-365. |
[16] | Wang GH (2002). Further thoughts on diversity and stability in ecosystems. Biodiversity Science, 10, 126-134. (in Chinese with English abstract) |
[ 王国宏 (2002). 再论生物多样性与生态系统的稳定性. 生物多样性, 10, 126-134.] | |
[17] | Woodward FI, Mckoo IF (1991). Vegetation and climate. Environment International, 17, 535-546. |
[18] | Wu JS, Lin QM, Huang QY, Xiao HA (2006). Soil Microbial Biomass―Methods and Application 2Soil Microbial Biomass―Methods and Application. China Meteorological Press, Beijing. (in Chinese) |
[ 吴金水, 林启美, 黄巧云, 肖和艾 (2006). 土壤微生物生物量测定方法及其应用, 气象出版社, 北京.] | |
[19] | Wu ZY (2003). Notes on the distribution patterns of world families of seed plants. Acta Botanica Yunnanica, 25, 535-538. (in Chinese) |
[ 吴征镒 (2003). 《世界种子植物科的分布区类型系统》的修订. 云南植物研究, 25, 535-538.] | |
[20] | Wu ZY, Zhou ZK, Li DZ, Peng H, Sun H (2003). The areal-types of the world families of seed plants. Acta Botanica Yunnanica, 25, 245-257. (in Chinese with English abstract) |
[ 吴征镒, 周浙昆, 李德铢, 彭华, 孙航 (2003). 世界种子植物科的分布区类型系统. 云南植物研究, 25, 245-257.] | |
[21] | Xu YJ, Chen YN, Li WH, Fu AH, Ma XD, Gui DW, Chen YP (2010). Distribution pattern and environmental interpretation of plant species diversity in the mountainous region of Ili River Valley, Xinjiang, China. Chinese Journal of Plant Ecology, 34, 1142-1154. (in Chinese with English abstract) |
[ 徐远杰, 陈亚宁, 李卫红, 付爱红, 马晓东, 桂东伟, 陈亚鹏 (2010). 伊犁河谷山地植物群落物种多样性分布格局及环境解释. 植物生态学报, 34, 1142-1154.] | |
[22] | Yang XB, Wu QS (2000). Vegetation development on tropical abandoned fields, Hainan Island, China. Acta Phytoecologica Sinica, 24, 477-482. (in Chinese with English abstract) |
[ 杨小波, 吴庆书 (2000). 海南岛热带地区弃荒农田次生植被恢复特点. 植物生态学报, 24, 477-482.] | |
[23] | Yu LF, Zhu SQ, Ye JZ, Wei LM, Chen ZR (2002). Dynamics of a degraded karst forest in the process of natural restoration. Scientia Silvae Sinicae, 38(1), 1-7. (in Chinese with English abstract) |
[ 喻理飞, 朱守谦, 叶镜中, 魏鲁明, 陈正仁 (2002). 退化喀斯特森林自然恢复过程中群落动态研究. 林业科学, 38(1), 1-7.] | |
[24] | Yu LZ, Zhu JJ, Kong XW, Hu WL, Tan XR (2006). The effects of anthropogenic disturbances (thinning) on plant species diversity of Pinus koreansis plantation. Acta Ecologica Sinica, 26, 3757-3764. (in Chinese with English abstract) |
[ 于立忠, 朱教君, 孔祥文, 胡万良, 谭学仁 (2006). 人为干扰(间伐)对红松人工林林下植物多样性的影响. 生态学报, 26, 3757-3764.] | |
[25] | Zeng FP, Peng WX, Song TQ, Wang KL, Wu HY, Song XJ, Zeng ZX (2007). Changes in vegetation after 22 years’ natural restoration in the karst disturbed area in Northwest Guangxi. Acta Ecologica Sinica, 27, 5110-5119. (in Chinese with English abstract) |
[ 曾馥平, 彭晚霞, 宋同清, 王克林, 吴海勇, 宋希娟, 曾昭霞 (2007). 桂西北喀斯特人为干扰区植被自然恢复22年后群落特征. 生态学报, 27, 5110-5119.] | |
[26] | Zhang JT (1995). Methods of Quantitative Vegetation Ecology China Science and Technology Press. Beijing. (in Chinese) |
[ 张金屯 (1995). 植被数量生态学方法, 中国科学技术出版社, 北京.] | |
[27] | Zhang W, Chen HS, Wang KL, Zhang JG, Hou Y (2008). Spatial variability of soil nutrients on hillslope in typical karst peak-cluster depression areas. Transactions of the Chinese Society of Agricultural Engineering, 24, 68-73. (in Chinese with English abstract) |
[ 张伟, 陈洪松, 王克林, 张继光, 侯娅 (2008). 典型喀斯特峰丛洼地坡面土壤养分空间变异性研究. 农业工程学报, 24, 68-73.] |
[1] | 蔡慧颖 李兰慧 林阳 梁亚涛 杨光 孙龙. 白桦叶片和细根非结构性碳水化合物对火后时间的响应[J]. 植物生态学报, 2024, 48(预发表): 0-0. |
[2] | 刘瑶 钟全林 徐朝斌 程栋梁 郑跃芳 邹宇星 张雪 郑新杰 周云若. 不同大小刨花楠细根功能性状与根际微环境关系[J]. 植物生态学报, 2024, 48(预发表): 0-0. |
[3] | 江康威 张青青 王亚菲 李宏 丁雨 杨永强 吐尔逊娜依·热依木. 放牧干扰下天山北坡中段植物功能群特征及其与土壤环境因子的关系[J]. 植物生态学报, 2024, 48(预发表): 0-0. |
[4] | 陈以恒 玉素甫江·如素力 阿卜杜热合曼·吾斯曼. 2001-2020年天山新疆段草地植被覆盖度时空变化及驱动因素分析[J]. 植物生态学报, 2024, 48(5): 561-576. |
[5] | 张计深, 史新杰, 刘宇诺, 吴阳, 彭守璋. 气候变化下中国潜在自然植被生态系统碳储量动态[J]. 植物生态学报, 2024, 48(4): 428-444. |
[6] | 付粱晨, 丁宗巨, 唐茂, 曾辉, 朱彪. 北京东灵山白桦和蒙古栎的根际效应及其季节动态[J]. 植物生态学报, 2024, 48(4): 508-522. |
[7] | 董劭琼, 侯东杰, 曲孝云, 郭柯. 柴达木盆地植物群落样方数据集[J]. 植物生态学报, 2024, 48(4): 534-540. |
[8] | 秦文宽, 张秋芳, 敖古凯麟, 朱彪. 土壤有机碳动态对增温的响应及机制研究进展[J]. 植物生态学报, 2024, 48(4): 403-415. |
[9] | 牛一迪, 蔡体久. 大兴安岭北部次生林演替过程中物种多样性的变化及其影响因子[J]. 植物生态学报, 2024, 48(3): 349-363. |
[10] | 吴君梅, 曾泉鑫, 梅孔灿, 林惠瑛, 谢欢, 刘苑苑, 徐建国, 陈岳民. 土壤磷有效性调控亚热带森林土壤酶活性和酶化学计量对凋落叶输入的响应[J]. 植物生态学报, 2024, 48(2): 242-253. |
[11] | 邓文婕, 吴华征, 李添翔, 周丽娜, 胡仁勇, 金鑫杰, 张永普, 张永华, 刘金亮. 洞头国家级海洋公园主要植被类型及其特征[J]. 植物生态学报, 2024, 48(2): 254-268. |
[12] | 颜辰亦, 龚吉蕊, 张斯琦, 张魏圆, 董学德, 胡宇霞, 杨贵森. 氮添加对内蒙古温带草原土壤活性有机碳的影响[J]. 植物生态学报, 2024, 48(2): 229-241. |
[13] | 耿雪琪, 唐亚坤, 王丽娜, 邓旭, 张泽凌, 周莹. 氮添加增加中国陆生植物生物量并降低其氮利用效率[J]. 植物生态学报, 2024, 48(2): 147-157. |
[14] | 韩路, 冯宇, 李沅楷, 王雨晴, 王海珍. 地下水埋深对灰胡杨叶片与土壤养分生态化学计量特征及其内稳态的影响[J]. 植物生态学报, 2024, 48(1): 92-102. |
[15] | 吴瀚, 白洁, 李均力, 古丽•加帕尔, 包安明. 新疆地区植被覆盖度时空变化及其影响因素分析[J]. 植物生态学报, 2024, 48(1): 41-55. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||
Copyright © 2022 版权所有 《植物生态学报》编辑部
地址: 北京香山南辛村20号, 邮编: 100093
Tel.: 010-62836134, 62836138; Fax: 010-82599431; E-mail: apes@ibcas.ac.cn, cjpe@ibcas.ac.cn
备案号: 京ICP备16067583号-19