植物生态学报 ›› 2011, Vol. 35 ›› Issue (4): 362-370.DOI: 10.3724/SP.J.1258.2011.00362
收稿日期:
2010-10-22
接受日期:
2010-12-29
出版日期:
2011-10-22
发布日期:
2011-04-13
通讯作者:
唐志尧
作者简介:
*E-mail: zytang@urban.pku.edu.cnReceived:
2010-10-22
Accepted:
2010-12-29
Online:
2011-10-22
Published:
2011-04-13
Contact:
TANG Zhi-Yao
摘要:
物种丰富度的分布格局及其形成机制是生态学研究的热点。以往的研究主要描述丰富度的格局, 而对其形成机制研究较少, 且主要集中于探讨单个因子或过程的影响。物种丰富度同时受到多个因子和过程的综合作用, 面积、温度及物种分布区限制被认为是控制山地物种丰富度海拔格局的主要因素, 三者同时沿海拔梯度而变化, 同时作用于丰富度的海拔格局。幂函数种-面积关系(SAR)、生态学代谢理论(MTE)及中域效应假说(MDE)分别基于以上3个因素, 从机制上解释了物种丰富度的海拔格局。探讨这些假说的相对影响对研究物种丰富度的大尺度格局及其形成机制具有重要意义。方差分离方法有利于分解不同因素的影响, 为此, 该文以秦岭太白山的植物物种丰富度为例, 采用方差分离和逐步回归方法, 分析了SAR、MTE及MDE对物种丰富度海拔格局的影响。结果表明, 太白山的植物物种丰富度沿海拔梯度呈单峰分布格局, 但丰富度峰值存在类群差异; 对太白山所有植物物种丰富度的垂直格局而言, SAR、MTE及MDE分别解释了其物种丰富度随海拔变化的66.4%、19.8%和37.9%, 共同解释了84.6%, 在消除其他因素的影响后, SAR和MTE的独立影响较高(分别为25.5%和17.7%), 而MDE的独立影响不显著; 分类群研究则发现, 苔藓植物丰富度的海拔格局主要受MDE的影响, 蕨类植物丰富度的海拔格局同时受到SAR、MTE以及MDE的影响, 而种子植物物种丰富度的海拔格局主要受SAR和MTE影响。
池秀莲, 唐志尧. 面积、温度及分布区限制对物种丰富度海拔格局的影响: 以秦岭太白山为例. 植物生态学报, 2011, 35(4): 362-370. DOI: 10.3724/SP.J.1258.2011.00362
CHI Xiu-Lian, TANG Zhi-Yao. Effects of area, temperature and geometric constraints on elevational patterns of species richness: a case study in the Mountain Taibai, Qinling Mountains, China. Chinese Journal of Plant Ecology, 2011, 35(4): 362-370. DOI: 10.3724/SP.J.1258.2011.00362
图1 秦岭太白山海拔带面积(实线)及气温(虚线)的垂直变化。
Fig. 1 Variation of area (solid line) and air temperature (dash line) along the elevational gradient in the Mountain Taibai, Qinling Mountains.
图2 3种假说对物种丰富度格局的解释量比较, a、b、c分别表示种面积-关系(SAR)、生态学代谢理论(MTE)及中域效应假说(MDE)的独立贡献; d、e、f分别表示它们两两之间的共同作用; g表示3种假说的共同作用。
Fig. 2 Relative contributions of three hypotheses in explaining species richness patterns; a, b and c represent independent effects of species-area relationship (SAR), metabolic theory of ecology (MTE) and mid-domain effect (MDE); d, e and f represent the joint effects of SAR-MTE, SAR-MDE, and MTE-MDE, and g represents joint effect of the three, respectively.
图3 秦岭太白山不同类群植物物种丰富度的垂直分布格局(实心点表示实际的物种丰富度, 实线为中域效应模型预测的物种丰富度, 虚线间表示95%置信区间)。
Fig. 3 Elevational patterns of species richness for different plant groups in the Mountain Taibai, Qinling Mountains. In each subset figure, dot represents observed richness, solid line represents predicted richness by RangeModel based on mid-domain effect, dashed lines represent the interval of predicted richness with 95% confidential.
类群 Group | 种-面积关系 Species-area relationship | 生态学代谢理论 Metabolic theory of ecology | 中域效应假说 Mid-domain effect hypothesis |
---|---|---|---|
所有植物 Overall plants | 66.4 | 19.8 | 37.9 |
苔藓植物 Lichens | 57.3 | 2.3 | 69.5 |
蕨类植物 Ferns | 66.3 | 13.5 | 67.7 |
种子植物 Seed plants | 58.3 | 26.9 | 32.3 |
表1 不同假说对秦岭太白山植物物种丰富度垂直格局的解释量(R2%)
Table 1 Explanatory strengths of different hypotheses for the elevational patterns of plant richness in the Mountain Taibai, Qinling Mountains (R2%)
类群 Group | 种-面积关系 Species-area relationship | 生态学代谢理论 Metabolic theory of ecology | 中域效应假说 Mid-domain effect hypothesis |
---|---|---|---|
所有植物 Overall plants | 66.4 | 19.8 | 37.9 |
苔藓植物 Lichens | 57.3 | 2.3 | 69.5 |
蕨类植物 Ferns | 66.3 | 13.5 | 67.7 |
种子植物 Seed plants | 58.3 | 26.9 | 32.3 |
图4 不同假说对秦岭太白山不同类群及不同生活型植物丰富度垂直格局的相对影响, 圆的大小代表对应假说的总解释量。a、b、c分别表示种-面积关系(SAR)、生态学代谢理论(MTE)及中域效应假说(MDE)的独立贡献; d、e、f分别表示SAR与MTE、SAR与MDE及MTE与MDE的共同作用; g表示三者的共同作用; U表示未解释部分。
Fig. 4 Relative importance of different hypotheses in explaining elevational patterns of plant species richness in the Mountain Taibai, Qinling Mountains. In the subsets, the diameters of the circles represent total variance explained by the specific hypothesis, a, b and c represent independent effects species-area relationship (SAR), metabolic theory of ecology (MTE) and mid-domain effect (MDE); d, e and f represent the joint effects of SAR-MTE, SAR-MDE, and MTE-MDE; g represents joint effect of the three; and U represents unexplained, respectively.
丰富度 Richness | 变量 Variable | AIC | 累积R2 Cumulative R2 |
---|---|---|---|
所有植物 Overall plants | logA | 48.9 | 66.4 |
1/kT | 24.7 | 84.5 | |
苔藓植物 Lichens | logPR | 118.1 | 69.5 |
蕨类植物 Ferns | logPR | 119.6 | 67.7 |
1/kT | 107.0 | 78.9 | |
logA | 95.3 | 85.9 | |
种子植物 Seed plants | logA | 54.0 | 58.3 |
1/kT | 24.9 | 83.3 |
表2 秦岭太白山不同类群物种丰富度与不同因子的最优线性模型
Table 2 Optimal linear model for the elevational patterns of species richness and different factors in the Mountain Taibai, Qinling Mountains
丰富度 Richness | 变量 Variable | AIC | 累积R2 Cumulative R2 |
---|---|---|---|
所有植物 Overall plants | logA | 48.9 | 66.4 |
1/kT | 24.7 | 84.5 | |
苔藓植物 Lichens | logPR | 118.1 | 69.5 |
蕨类植物 Ferns | logPR | 119.6 | 67.7 |
1/kT | 107.0 | 78.9 | |
logA | 95.3 | 85.9 | |
种子植物 Seed plants | logA | 54.0 | 58.3 |
1/kT | 24.9 | 83.3 |
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