当前位置: X-MOL 学术New Phytol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought‐release experiment in a Scots Pine forest
New Phytologist ( IF 8.3 ) Pub Date : 2024-11-19 , 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

Summary 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.

中文翻译:


最优性划分理论对地下性状是否失败?从苏格兰松林干旱释放实验的地球物理成像中获得见解



摘要 我们研究了 20 年灌溉对自然干燥的苏格兰松树林根系水分吸收 (RWU) 和干旱胁迫释放的影响。我们结合使用电阻率断层扫描对 RWU 进行成像,使用无人机飞行对树冠应力进行成像,并结合传感器来监测土壤含水量。我们的研究结果表明,水可用性的增加可以促进根系生长和资源利用效率,通过使土壤更深层吸收水分,可能会提高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留效应在决定树木对环境变化的反应中的重要作用。
更新日期:2024-11-19
down
wechat
bug