地下性状的最优分区理论是否失效?从苏格兰松树林干旱释放实验的地球物理成像中获得的启示。

IF 9.4 1区 生物学 Q1 Agricultural and Biological Sciences New Phytologist Pub Date : 2024-11-18 DOI:10.1111/nph.20245
Alexis Shakas, Roman Hediger, Arthur Gessler, Kamini Singha, Giulia de Pasquale, Petra D'Odorico, Florian M Wagner, Marcus Schaub, Hansruedi Maurer, Holger Griess, Jonas Gisler, Katrin Meusburger
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引用次数: 0

摘要

我们在一片自然干旱的苏格兰松树林中研究了 20 年灌溉对根系吸水(RWU)和干旱应力释放的影响。我们结合使用了电阻率断层扫描技术对 RWU 进行成像,无人机飞行对树冠压力进行成像,以及传感器对土壤含水量进行监测。我们的研究结果表明,水分供应的增加能促进根系生长和资源利用效率,通过从更深的土壤层吸收水分,有可能增强树木对未来干旱条件的抵抗力。这项研究强调了生态记忆和遗产效应在决定树木对环境变化的反应方面的重要作用。
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Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought-release experiment in a Scots Pine forest.

We investigate the impact of a 20-yr irrigation on root water uptake (RWU) and drought stress release in a naturally dry Scots pine forest. We use a combination of electrical resistivity tomography to image RWU, drone flights to image the crown stress and sensors to monitor soil water content. Our findings suggest that increased water availability enhances root growth and resource use efficiency, potentially increasing trees' resistance to future drought conditions by enabling water uptake from deeper soil layers. This research highlights the significant role of ecological memory and legacy effects in determining tree responses to environmental changes.

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来源期刊
New Phytologist
New Phytologist PLANT SCIENCES-
CiteScore
17.60
自引率
5.30%
发文量
728
审稿时长
1 months
期刊介绍: New Phytologist is a leading publication that showcases exceptional and groundbreaking research in plant science and its practical applications. With a focus on five distinct sections - Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology - the journal covers a wide array of topics ranging from cellular processes to the impact of global environmental changes. We encourage the use of interdisciplinary approaches, and our content is structured to reflect this. Our journal acknowledges the diverse techniques employed in plant science, including molecular and cell biology, functional genomics, modeling, and system-based approaches, across various subfields.
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