Plant functional traits and environmental filters at a regional scale
Plant functional traits and environmental filters at a regional scale
复制标题
DOI：
10.2307/3237229
复制
发表时间：
1998-02-01
影响因子：
2.8
通讯作者：
Casanoves, F
中科院分区：
文献类型：
--
作者：
Diaz, S;Cabido, M;Casanoves, F
植物性状与环境之间的联系，即与某些环境条件一致相关的植物属性集，是气候、干扰和生物条件过滤效应的结果。这些过滤器决定了物种库的哪些组成部分被组装成当地社区。我们的目的是测试一致的植物性状和气候条件之间的关联沿着一个陡峭的区域梯度，分为13个气候均匀的部门，在阿根廷中西部。我们分析了沿着梯度分布最丰富的100个物种的19个营养和更新特征。对于每个性状，我们使用卡方（2）统计量检验了部门和区域物种库之间不同类别频率的同质性。我们在71%的成对比较中拒绝了H-0，这强烈表明气候因素对关键植物功能的“过滤效应”。营养性状比再生性状更容易被过滤。比叶面积、寿命、分枝、冠层高度、叶重比、支持组织中的碳投入和授粉方式是在最多数量的成对比较中显示差异的性状。这可能是第一次尝试在定量、统计保守的基础上检测气候因素与众多植物性状之间的一致联系。广泛的环境条件和植物生长形式。我们讨论了这种方法在预测植被结构和功能在目前的环境条件下，预计为下一个世纪的全球变化的结果的优点和局限性。
Links between plant traits and the environment, i.e. sets of plant attributes consistently associated with certain environmental conditions, are the consequence of the filtering effect of climatic, disturbance and biotic conditions. These filters determine which components of a species pool are assembled into local communities. We aimed at testing for consistent association between plant traits and climatic conditions along a steep regional gradient, divided into 13 climatically homogeneous sectors, in central-western Argentina. We analyzed 19 vegetative and regeneration traits of the 100 most abundant species along the gradient. For each trait, we tested for homogeneity of frequencies of different categories between sectors and the regional species pool, using the chi(2) statistic. We rejected H-0 in 71% of the pair-wise comparisons, which strongly suggests a 'filtering effect' of climatic factors on key plant functions. Vegetative traits were filtered more often than regeneration traits. Specific leaf area, life span, ramification, canopy height, leaf weight ratio, carbon investment into support tissue and pollination mode were the traits showing differences in the largest number of pair-wise comparisons.This is probably the first attempt to detect, on a quantitative, statistically conservative basis, consistent linkages between climatic factors and numerous plant traits, over a broad spectrum of environmental conditions and plant growth forms. We discuss the advantages and limitations of this approach in predicting vegetation structure and functioning under present environmental conditions, and those expected for the next century as a consequence of global change.