Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought-release experiment in a Scots Pine forest

Shakas; A.; Hediger; R.; Gessler; A.; Singha; K.; de Pasquale; G.; D'Odorico; P.; Wagner; F.M.; Schaub; M.; Maurer; H.; Griess; H.; Gisler; J.; Meusburger; K.

Keywords: drone remote sensing; drought; electrical resistivity; irrigation; Photochemical Reflectance Index; Pinus sylvestris; root water uptake

Abstract

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. © 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.

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Título según WOS: Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought-release experiment in a Scots Pine forest
Título según SCOPUS: Does optimality partitioning theory fail for belowground traits? Insights from geophysical imaging of a drought-release experiment in a Scots Pine forest
Título de la Revista: New Phytologist
Volumen: 245
Número: 2
Editorial: John Wiley and Sons Inc.
Fecha de publicación: 2025
Página de inicio: 546
Página final: 558
Idioma: English
DOI:

10.1111/nph.20245

Notas: ISI, SCOPUS