Changes in carbon and nitrogen metabolism during seawater-induced mortality of Picea sitchensis trees. (20th May 2021)

• Record Type: Journal Article
• Authors: Li, Weibin; Zhang, Hongxia; Wang, Wenzhi; Zhang, Peipei; Ward, Nicholas D; Norwood, Matt; Myers-Pigg, Allison; Zhao, Chuanyan; Leff, Riley; Yabusaki, Steve; Waichler, Scott; Bailey, Vanessa L; McDowell, Nate G
• Editors: Ensminger, Ingo
• Is Part Of: Tree physiology. Volume 41:Number 12(2021)
• Page Start: 2326
• Page End: 2340
• Publication Date: 2021-05-20
• Subjects: A-Ci curves -- nitrogen resorption -- non-structural carbohydrates -- photosynthetic capacity -- seawater exposure -- tree mortality; Trees -- Physiology -- Periodicals; 582.16
• DOI: 10.1093/treephys/tpab073
• Languages: English
• ISSNs: 0829-318X

Abstract

Abstract: Increasing seawater exposure is causing mortality of coastal forests, yet the physiological response associated with seawater-induced tree mortality, particularly in non-halophytes, is poorly understood. We investigated the shifts in carbon and nitrogen (N) metabolism of mature Sitka-spruce trees that were dying after an ecosystem-scale manipulation of tidal seawater exposure. Soil porewater salinity and foliar ion concentrations increased after seawater exposure and were strongly correlated with the percentage of live foliated crown (PLFC; e.g., crown 'greenness', a measure of progression to death). Co-occurring with decreasing PLFC was decreasing photosynthetic capacity, N-investment into photosynthesis, N-resorption efficiency and non-structural carbohydrate (soluble sugars and starch) concentrations, with the starch reserves depleted to near zero when PLFC dropped below 5%. Combined with declining PLFC, these changes subsequently decreased total carbon gain and thus exacerbated the carbon starvation process. This study suggests that an impairment in carbon and N metabolism during the mortality process after seawater exposure is associated with the process of carbon starvation, and provides critical knowledge necessary to predict sea-level rise impacts on coastal forests.