Prediction of desiccation sensitivity in seeds of woody species: A probabilistic model based on two seed traits and 104 species
Prediction of desiccation sensitivity in seeds of woody species: A probabilistic model based on two seed traits and 104 species
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DOI：
10.1093/aob/mcl022
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发表时间：
2006-04-01
期刊：
影响因子：
4.2
通讯作者：
Pritchard, HW
中科院分区：
文献类型：
--
作者：
Daws, MI;Garwood, NC;Pritchard, HW
背景和目的种子干燥敏感性限制了多达47%的植物物种的迁地保护，这取决于栖息地。虽然需要，但凭经验确定所有物种种子的脱水耐受性水平是不现实的。用于快速识别种子干燥敏感性高风险的木本物种的概率模型是presented.center dot方法该模型是使用二元逻辑回归对种子性状数据[种子质量、含水量、种皮比（SCR）和降雨量]进行开发的。种子散布月份的降雨量]来自半落叶热带森林的37个科的104个物种，见Panama.center dot关键结果对于巴拿马物种，只有种子质量和SCR与干燥反应显着相关，干燥敏感的种子大并且具有相对低的SCR（即薄的“种皮”）。将该模型应用于来自另外两个大陆和不同植被类型的另外38个已知种子储存行为的物种（非洲旱地和欧洲温带）在所有情况下都正确地预测了对干旱的反应，并解决了两个物种相互矛盾的发表数据，结论该模型可作为一种决策方法，制作工具，处理来自三个不同生境的物种的未知种子储存行为。
center dot Background and Aims Seed desiccation sensitivity limits the ex situ conservation of up to 47 % of plant species, dependent on habitat. Whilst desirable, empirically determining desiccation tolerance levels in seeds of all species is unrealistic. A probabilistic model for the rapid identification of woody species at high risk of displaying seed desiccation sensitivity is presented.center dot Methods The model was developed using binary logistic regression on seed trait data [seed mass, moisture content, seed coat ratio (SCR) and rainfall in the month of seed dispersal] for 104 species from 37 families from a semi-deciduous tropical forest in Panama.center dot Key Results For the Panamanian species, only seed mass and SCR were significantly related to the response to desiccation, with the desiccation-sensitive seeds being large and having a relatively low SCR (i.e. thin 'seed' coats). Application of this model to a further 38 species, of known seed storage behaviour, from two additional continents and differing vegetation types (dryland Africa and temperate Europe) correctly predicted the response to desiccation in all cases, and resolved conflicting published data for two species (Acer pseudoplatanus and Azadirachta indica).center dot Conclusions This model may have application as a decision-making tool in the handling of species of unknown seed storage behaviour in species from three disparate habitats.