生态环境学报 ›› 2023, Vol. 32 ›› Issue (12): 2154-2165.DOI: 10.16258/j.cnki.1674-5906.2023.12.007
杜娇艳1,2(), 蔡国俊3,4, 张红玉1,*(
), 李安定2,*(
)
收稿日期:
2023-05-12
出版日期:
2023-12-18
发布日期:
2024-02-05
通讯作者:
张红玉。E-mail: gznuzhhy@qq.com作者简介:
杜娇艳(1998年生),女,硕士,主要研究方向为生态学。E-mail: 1591315262@qq.com
基金资助:
DU Jiaoyan1,2(), CAI Guojun3,4, ZHANG Hongyu1,*(
), LI Anding2,*(
)
Received:
2023-05-12
Online:
2023-12-18
Published:
2024-02-05
摘要:
研究区域尺度上植物叶片C、N、P含量及其计量特征,对于了解植物对区域环境适应及其影响机制具有重要意义。为研究贵州喀斯特区域植物叶片C、N、P生态化学计量特征及其对区域环境的响应,通过搜集整理已发表的文献数据,分析了贵州喀斯特地区101个采样点的植物叶片的C、N、P的化学计量学特征,并研究了它们与气候、纬度、海拔、土壤养分等环境因子间关系,比较了不同生活型植物叶片化学计量特性的差异。结果表明,1)贵州喀斯特地区植物叶片C、N、P计量特征表现出不同的变异程度,其中,叶片C含量变异系数最小,属弱变异性;叶片N含量和N꞉P属中等变异性;而叶片P含量、C꞉N、C꞉P均属强变异性。2)基于生态化学计量特征表明,贵州喀斯特地区乔木、灌木和草本植物采取不同的生态适应策略应对变化的环境。3)区域尺度上,植物叶片C、N、P化学计量特征受海拔、气候及土壤养分的共同影响,但植物叶片C、N含量受气候环境的影响更为显著,而叶片P含量可能受限于土壤TP含量。该研究认为,贵州喀斯特区域植被在长期进化过程中趋于发育一套适应异质性强、生态脆弱的叶片性状组合,表现为较高的C含量、C꞉N、C꞉P以及较低的N、P含量。
中图分类号:
杜娇艳, 蔡国俊, 张红玉, 李安定. 贵州喀斯特地区植物叶片C、N、P化学计量特征对气候环境和土壤养分的响应[J]. 生态环境学报, 2023, 32(12): 2154-2165.
DU Jiaoyan, CAI Guojun, ZHANG Hongyu, LI Anding. Response of Plant Leaf C, N, P Stoichiometry Characteristics to Climatic Environment and Soil Nutrients in Karst Areas of Guizhou[J]. Ecology and Environment, 2023, 32(12): 2154-2165.
图2 叶片化学计量学的频率分布 n为样本量;AM为几何平均数;GM为算术平均数;SD为标准差;CV为变异系数;Min为最小值;Max为最大值;Skewness为偏度;Kurtosis为峰度;P(K-S)为K-S检验的P值
Figure 2 Frequency distribution of leaf stoichiometry
指标 | 样本量 | 平均值 | 标准差 | 最大值 | 最小值 |
---|---|---|---|---|---|
w(SOC)/(mg∙g−1) | 402 | 47.7 | 23.18 | 209.16 | 1.65 |
w(TN)/(mg∙g−1) | 402 | 3.62 | 3.01 | 26.60 | 0.14 |
w(TP)/(mg∙g−1) | 402 | 0.69 | 0.39 | 3.39 | 0.03 |
表1 土壤养分质量分数
Table 1 Soil nutrition content
指标 | 样本量 | 平均值 | 标准差 | 最大值 | 最小值 |
---|---|---|---|---|---|
w(SOC)/(mg∙g−1) | 402 | 47.7 | 23.18 | 209.16 | 1.65 |
w(TN)/(mg∙g−1) | 402 | 3.62 | 3.01 | 26.60 | 0.14 |
w(TP)/(mg∙g−1) | 402 | 0.69 | 0.39 | 3.39 | 0.03 |
生活型 | w(C)/(mg∙g−1) | w(N)/(mg∙g−1) | w(P)/(mg∙g−1) | w(C)꞉w(N) | w(C)꞉w(P) | w(N)꞉w(P) |
---|---|---|---|---|---|---|
乔木 | 466.62±58.93a | 16.03±4.76a | 1.36±0.53b | 36.28±34.57a | 401.79±198.31a | 13.45±5.99b |
样本量n | 196 | 196 | 196 | 196 | 196 | 196 |
灌木 | 450.6±60.85a | 17.67±6.47a | 1.44±0.89ab | 34.15±44.15a | 422.58±264.44a | 15.62±7.80a |
样本量n | 157 | 157 | 157 | 157 | 157 | 157 |
草本 | 404.69±87.14b | 17.31±6.05a | 1.63±0.64a | 27.55±14.05a | 298.58±157.44b | 11.66±4.58b |
样本量n | 49 | 49 | 49 | 49 | 49 | 49 |
F | 18.677 | 3.868 | 2.879 | 0.852 | 5.872 | 8.431 |
Sig. | P<0.001 | P=0.022 | P=0.057 | P=0.427 | P=0.003 | P<0.001 |
表2 不同生活型植物叶片C、N、P含量及其计量比特征
Table 2 Characteristics of C, N and P contents and their stoichiometric ratios in leaves of plants of different life forms
生活型 | w(C)/(mg∙g−1) | w(N)/(mg∙g−1) | w(P)/(mg∙g−1) | w(C)꞉w(N) | w(C)꞉w(P) | w(N)꞉w(P) |
---|---|---|---|---|---|---|
乔木 | 466.62±58.93a | 16.03±4.76a | 1.36±0.53b | 36.28±34.57a | 401.79±198.31a | 13.45±5.99b |
样本量n | 196 | 196 | 196 | 196 | 196 | 196 |
灌木 | 450.6±60.85a | 17.67±6.47a | 1.44±0.89ab | 34.15±44.15a | 422.58±264.44a | 15.62±7.80a |
样本量n | 157 | 157 | 157 | 157 | 157 | 157 |
草本 | 404.69±87.14b | 17.31±6.05a | 1.63±0.64a | 27.55±14.05a | 298.58±157.44b | 11.66±4.58b |
样本量n | 49 | 49 | 49 | 49 | 49 | 49 |
F | 18.677 | 3.868 | 2.879 | 0.852 | 5.872 | 8.431 |
Sig. | P<0.001 | P=0.022 | P=0.057 | P=0.427 | P=0.003 | P<0.001 |
图3 叶片化学计量与环境因子之间的相关关系 图中白色圆表示相关性不显著,圆面积越大,表示相关系数的绝对值越大;图的右上部分为相关系数,Pearson相关;***相关性在0.001水平达到显著,**相关性在0.01水平达到显著,*相关性在0.05水平达到显著;MAT:年均温度;MAP:年均降水量;Lat:纬度;Alt:海拔。下同
Figure 3 Correlation between leaf stoichiometry and environmental factors
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