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• W2918377570 abstract "Significance Tremendous effort is being devoted to developing large databases of plant traits, with the hope that these constitute a species-independent currency for predicting the nature and consequences of changes to plant communities driven by climate and other impacts. Yet in strikingly few cases has the efficacy of traits for understanding observed changes to the diversity of natural communities been tested. In an annual grassland undergoing drought-induced diversity loss, we found experimentally that critical outcomes were predicted only by seedling root length, while widely measured adult and aboveground traits were weakly correlated with outcomes. The need to pinpoint traits specific to the location and timing of a major environmental stress may pose a significant challenge to trait-based ecology." @default.
• W2918377570 created "2019-03-11" @default.
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• W2918377570 date "2019-03-04" @default.
• W2918377570 modified "2023-10-16" @default.
• W2918377570 title "Seedling traits predict drought-induced mortality linked to diversity loss" @default.
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• W2918377570 doi "https://doi.org/10.1073/pnas.1818543116" @default.
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