Eileen Enderle, Fangbin Hou, Leonardo Hinojosa, Hidde Kottman, Nigâr Kasirga, Franciska T. de Vries
{"title":"植物-土壤对干旱的反馈反应具有物种特异性,根系特征对其预测作用有限","authors":"Eileen Enderle, Fangbin Hou, Leonardo Hinojosa, Hidde Kottman, Nigâr Kasirga, Franciska T. de Vries","doi":"10.1007/s11104-024-07049-z","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background and aims</h3><p>The increasing occurrence of extreme drought events under climate change alters the composition and functioning of plant communities worldwide. Drought-induced changes in plant-soil feedback (PSF), reciprocal effects on fitness between plants and their associated soil microbial communities, are one mechanism through which these changes in vegetation occur, but they remain difficult to predict. Because of their direct link to rhizosphere microbial communities, we expect root traits to predict drought-induced PSF shifts.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>In the conditioning phase of a greenhouse experiment, we subjected 12 common grassland species to drought. In the feedback phase, all species were grown under ambient conditions with their own microbial inoculum. Their growth was compared to growth in sterile soil to assess total PSF or soil inoculated with microbes from three other species to assess specific PSF. We used root traits to predict PSF under drought and ambient conditions.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Drought altered the magnitude and direction of PSF in a quarter of the species, which was consistent between total and specific PSF. Total PSF was best predicted by the first axis of the root trait space (high specific root length to high root diameter and root nitrogen content) and was not responsive to drought. Specific PSF was weakly predicted by root traits and changed in response to drought.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Our results show that drought can modify the feedbacks between plants and their microbial communities with implications for vegetation dynamics. Root traits have limited capacity to predict these shifts, but can predict PSF of the total microbial community independent of drought.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"95 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Plant-soil feedback responses to drought are species-specific and only marginally predicted by root traits\",\"authors\":\"Eileen Enderle, Fangbin Hou, Leonardo Hinojosa, Hidde Kottman, Nigâr Kasirga, Franciska T. de Vries\",\"doi\":\"10.1007/s11104-024-07049-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Background and aims</h3><p>The increasing occurrence of extreme drought events under climate change alters the composition and functioning of plant communities worldwide. Drought-induced changes in plant-soil feedback (PSF), reciprocal effects on fitness between plants and their associated soil microbial communities, are one mechanism through which these changes in vegetation occur, but they remain difficult to predict. Because of their direct link to rhizosphere microbial communities, we expect root traits to predict drought-induced PSF shifts.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>In the conditioning phase of a greenhouse experiment, we subjected 12 common grassland species to drought. In the feedback phase, all species were grown under ambient conditions with their own microbial inoculum. Their growth was compared to growth in sterile soil to assess total PSF or soil inoculated with microbes from three other species to assess specific PSF. 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Plant-soil feedback responses to drought are species-specific and only marginally predicted by root traits
Background and aims
The increasing occurrence of extreme drought events under climate change alters the composition and functioning of plant communities worldwide. Drought-induced changes in plant-soil feedback (PSF), reciprocal effects on fitness between plants and their associated soil microbial communities, are one mechanism through which these changes in vegetation occur, but they remain difficult to predict. Because of their direct link to rhizosphere microbial communities, we expect root traits to predict drought-induced PSF shifts.
Methods
In the conditioning phase of a greenhouse experiment, we subjected 12 common grassland species to drought. In the feedback phase, all species were grown under ambient conditions with their own microbial inoculum. Their growth was compared to growth in sterile soil to assess total PSF or soil inoculated with microbes from three other species to assess specific PSF. We used root traits to predict PSF under drought and ambient conditions.
Results
Drought altered the magnitude and direction of PSF in a quarter of the species, which was consistent between total and specific PSF. Total PSF was best predicted by the first axis of the root trait space (high specific root length to high root diameter and root nitrogen content) and was not responsive to drought. Specific PSF was weakly predicted by root traits and changed in response to drought.
Conclusion
Our results show that drought can modify the feedbacks between plants and their microbial communities with implications for vegetation dynamics. Root traits have limited capacity to predict these shifts, but can predict PSF of the total microbial community independent of drought.
期刊介绍:
Plant and Soil publishes original papers and review articles exploring the interface of plant biology and soil sciences, and that enhance our mechanistic understanding of plant-soil interactions. We focus on the interface of plant biology and soil sciences, and seek those manuscripts with a strong mechanistic component which develop and test hypotheses aimed at understanding underlying mechanisms of plant-soil interactions. Manuscripts can include both fundamental and applied aspects of mineral nutrition, plant water relations, symbiotic and pathogenic plant-microbe interactions, root anatomy and morphology, soil biology, ecology, agrochemistry and agrophysics, as long as they are hypothesis-driven and enhance our mechanistic understanding. Articles including a major molecular or modelling component also fall within the scope of the journal. All contributions appear in the English language, with consistent spelling, using either American or British English.