Responsiveness of performance and morphological traits to experimental submergence predicts field distribution pattern of wetland plants
Responsiveness of performance and morphological traits to experimental submergence predicts field distribution pattern of wetland plants
复制标题
性能和形态特征对实验淹没的响应预测湿地植物的田间分布模式
DOI：
10.1111/jvs.12352
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发表时间：
2016-03-01
影响因子：
2.8
通讯作者：
Cornelissen, Johannes H. C.
中科院分区：
文献类型：
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作者：
Luo, Fang-Li;Huang, Lin;Cornelissen, Johannes H. C.
植物性状均值和性状对不同环境的响应性都是植物田间分布的重要决定因素，但很少对植物性状均值和性状响应性预测植物分布的程度进行定量比较。由于水文状况是湿地植物分布的关键决定因素，我们假设植物性状平均值和对实验淹没的性状响应都可以预测植物对湿地水文梯度中潮湿或干燥部分的适应。LocationBeijing,中国。方法将30种湿地植物分别在陆地（对照）和部分淹没的温室中种植，测量14种植物性状的平均值，并计算这些性状对淹没的对数响应比（lnrr）。基于北京地区24个湿地3988个样地的植物调查数据，建立了湿地植物沿水分梯度（从离湿地水线最远的区域到离水线最近的区域）的分布格局指数。结果部分淹水处理和对照处理的性能性状（茎部生物量、根系生物量、株高和总根长，R-2=0.249， P=0.005）和5个形态性状（茎部伸长能力，R-2=0.194， P=0.015）的slnrrs可以预测30种湿地植物的分布格局。相比之下，对照和淹水条件下的植物性状都不能预测物种分布。从离湿地水线最远的区域到离湿地水线最近的区域，性状lnrr与湿地水线的分布呈正相关，由极负向极正递增。令人惊讶的是，生理性状LnRRs被认为是性能性状LnRRs的基础，但它们本身并不能预测这些物种的分布模式。基于PCA的多变量性状组分析表明，形态性状组的物种LnRRs与性能性状组的物种LnRRs呈正相关。结论通过筛选湿地植物在实验淹水条件下LnRRs的性能和形态特征，是了解和预测其在田间沿水分梯度分布格局的有效途径。
QuestionPlant trait mean values and trait responsiveness to different environmental regimes are both important determinants of plant field distribution, but the degree to which plant trait means vs trait responsiveness predict plant distribution has rarely been compared quantitatively. Because hydrological regime is a key determinant of wetland plant distribution, we hypothesized that both plant trait means and trait responsiveness to experimental submergence could predict plant adaptation to a wet or a dry part of hydrological gradients in wetlands.LocationBeijing, China.MethodsWe measured mean values for 14 plant traits by growing 30 wetland species both on land (control) and partially submerged in a greenhouse, and calculated log response ratios (LnRRs) of these traits to submergence. A distribution pattern index of wetland plants along the moisture gradient (from the zone furthest from the wetland waterline to that nearest to the waterline) was developed based on plant survey data in 3988 field plots in 24 wetlands in Beijing, China.ResultsLnRRs of performance traits (shoot biomass, root biomass, plant height and total root length; R-2=0.249, P=0.005) and one out of five morphological traits (i.e. shoot elongation capacity; R-2=0.194, P=0.015) between partially submerged and control treatments could predict the distribution pattern of the 30 wetland plant species. In contrast, means of plant traits in either control or submergence could not predict species distribution. The trait LnRRs, increasing from very negative to very positive, corresponded positively with the distribution, ranging from the zone furthest from the wetland waterline to that nearest to the waterline. Surprisingly, physiological trait LnRRs that had been expected to underpin performance trait LnRRs did not themselves predict the distribution pattern of these species. Analyses at the level of multivariate trait groups (based on PCA) showed that species LnRRs of the morphological trait group were positively correlated with LnRRs of the performance trait group.ConclusionsOur findings demonstrate that screening wetland plant species for performance and morphological trait LnRRs under experimentally flooded conditions is an effective approach to understand and predict their distribution pattern along moisture gradients in the field.