Elevational Variation and Temporal Dynamics of Needle Moisture Content in Pinus sylvestris L. Seedlings

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This study evaluated the temporal variation and inter-population differences in needle moisture content of Scots pine (Pinus sylvestris L.) seedlings grown from five natural populations representing different altitudinal zones. The populations ranged from sea level to 2250 meters in elevation, and the seedlings were cultivated under uniform nursery conditions at the Faculty of Forestry, Karadeniz Technical University, for four years. Needle samples were collected monthly over a 23-month period from a total of 750 seedlings, and fresh and dry weights were recorded to calculate needle moisture content. Two-way analysis of variance (ANOVA) revealed that both population and sampling time had statistically significant effects (p < 0.05), whereas their interaction was not significant. The lowest mean needle moisture content was observed in the Çamburnu population (0–450 m), while the highest was recorded in Zigana-3 (1800–2250 m), suggesting that high-elevation populations may have developed more effective water retention strategies. Seasonally, higher moisture levels were recorded in winter and early spring, while a decline was observed during summer months due to increased temperatures. The relationship between needle moisture and weight parameters varied among populations. These findings indicate that needle moisture content is a physiologically sensitive parameter influenced by both environmental conditions and elevation-driven genetic variation. The results highlight the importance of prioritizing high-elevation populations in future afforestation efforts aimed at enhancing drought tolerance and climate change adaptation.

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Scots pine (Pinus sylvestris) is the most widespread pine species in the world. It grows in the largest forest system in the northern hemisphere and, together with birch trees, occupies a major part of the boreal forests. Recently, birch trees have been discovered as important emission sources of terrestrial ice-nucleating macromolecules (INMs) coming from pollen, bark, leaves, petioles, branches, and stem surfaces. It is known that pine pollen nucleate ice; however, the potential of other tree parts releasing INMs and contributing to the emission of ice-active aerosols is unknown. Here, we investigated the distribution of INMs in, on, and around Scots pines (Pinus sylvestris) in a laboratory and field study. We collected bark, branch wood, and needle samples from six pine trees in an urban park in Vienna, Austria. The concentration of INMs from aqueous extracts of milled (powder extracts) and intact surfaces (surface extracts) were determined. In addition, we collected rainwater rinsed off from three pines during a rainfall event and analyzed its INM content. All investigated samples contained INMs with freezing onset temperatures ranging from −16 °C to −29 °C. The number concentration of INMs in powder extracts at −25 °C (nINMs−25 °C) ranged from 105 to 109 per mg dry weight. Surface extracts showed concentrations from 105 to 108 INMs per cm2 of extracted surface, with needle samples exhibiting the lowest concentrations. In the rain samples, we found 106 and 107 INMs per cm2 of rain-collector area at −25 °C, with freezing onset temperatures similar to those observed in powder and surface extracts. With our data, we estimate that one square meter of pine stand can release about 4.1 × 109 to 4.6 × 1012 INMs active at −25 °C and higher, revealing pine forests as an extensive reservoir of INMs. Since pines are evergreen and release INMs not only from pollen grains, pines and the boreal forest in general need to be considered as a dominant source of INMs in high latitude and high-altitude locations, where other species are rare and other ice nuclei transported over long distances are diluted. Finally, we propose pine trees as an INM emission source which can trigger immersion freezing events in cloud droplets at moderate supercooled temperatures and therefore may have a significant impact on altering mixed phase clouds.

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