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Resource limitation tolerance and the future of ecological plant classification

机译:资源限制耐受性以及生态植物分类的未来

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摘要

Throughout the evolutionary history of plants, drought, shade, and scarcity of nutrients have structured ecosystems and communities globally. Humans have begun to drastically alter the prevalence of these environmental factors with untold consequences for plant communities and ecosystems worldwide. Given limitations in using organ-level traits to predict ecological performance of species, recent advances using tolerances of low resource availability as plant functional traits are revealing the often hidden roles these factors have in structuring communities and are becoming central to classifying plants ecologically. For example, measuring the physiological drought tolerance of plants has increased the predictability of differences among species in their ability to survive drought as well as the distribution of species within and among ecosystems. Quantifying the shade tolerance of species has improved our understanding of local and regional species diversity and how species have sorted within and among regions. As the stresses on ecosystems continue to shift, coordinated studies of whole-plant growth centered on tolerance of low resource availability will be central in predicting future ecosystem functioning and biodiversity. This will require efforts that quantify tolerances for large numbers of species and develop bioinformatic and other techniques for comparing large number of species.
机译:在植物的整个进化史中,干旱,阴凉和营养物质的缺乏在全球范围内构成了生态系统和社区。人类已经开始大幅度改变这些环境因素的流行程度,给全世界的植物群落和生态系统带来不可估量的后果。鉴于使用器官水平性状来预测物种的生态性能方面的局限性,利用植物资源的低度可利用性作为植物功能性状的最新进展揭示了这些因素在构造群落中经常隐藏的作用,并正在成为对植物进行生态分类的关键。例如,测量植物的生理干旱耐受性提高了物种之间在干旱生存能力以及生态系统内和生态系统之间物种分布方面差异的可预测性。量化物种的阴影耐受性可以改善我们对本地和区域物种多样性以及物种如何在区域内和区域之间进行分类的理解。随着对生态系统的压力不断变化,以低资源可利用性为中心的全植物生长协调研究将成为预测未来生态系统功能和生物多样性的中心。这将需要作出努力,量化对大量物种的耐受性,并开发生物信息学和其他技术来比较大量物种。

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