Abstract

Understanding shifts in autumn phenology associated with climate changes is critical for preserving forest ecosystems. This study examines the changes in the leaf coloring date (LCD) of two temperate deciduous tree species, Acer palmatum (Acer) and Ginkgo biloba (Ginkgo), in response to surface air temperature (Ts) changes at 54 stations of South Korea for the period 1989–2007. The variations of Acer and Ginkgo in South Korea are very similar: they show the same mean LCD of 295th day of the year and delays of about 0.45 days year-1 during the observation period. The delaying trend is closely correlated (correlation coefficient > 0.77) with increases in Ts in mid-autumn by 2.8 days °C-1. It is noted that the LCD delaying and temperature sensitivity (days °C-1) for both tree species show negligible dependences on latitudes and elevations. Given the significant LCD-Ts relation, we project LCD changes for 2016–35 and 2046–65 using a process-based model forced by temperature from climate model simulation. The projections indicate that the mean LCD would be further delayed by 3.2 (3.7) days in 2016–35 (2046–65) due to mid-autumn Ts increases. This study suggests that the mid-autumn warming is largely responsible for the observed LCD changes in South Korea and will intensify the delaying trends in the future.

Highlights

  • Changes in vegetation phenology in spring and autumn are noticeable dynamic responses of the ecosystem to climate change [1, 2, 3]

  • This study examines the changes in the leaf coloring date (LCD) of two temperate deciduous tree species, Acer palmatum (Acer) and Ginkgo biloba (Ginkgo), in response to surface air temperature (Ts) changes at 54 stations of South Korea for the period 1989–2007

  • Several outliers, which are the mean LCD exceeding 300 day of year (DOY) between 37.5 ̊N and 38 ̊N, were recorded at weather stations located in megacity, Seoul and Incheon, may suggest urbanization effects on LCD (Fig 1)

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Summary

Introduction

Changes in vegetation phenology in spring and autumn are noticeable dynamic responses of the ecosystem to climate change [1, 2, 3]. During the growing season, defined as the difference between the spring and autumn phenological events, vegetation regulates the exchange of carbon, water, and energy between the land and the atmosphere [4, 5, 6]. It is clear that changes in the growing season influence the functioning of ecosystem and biodiversity by modifying the distribution of vegetation populations and interspecies interactions [7, 8, 9]. Understanding the changes in vegetation phenology is a critical step for diagnosing ecosystem changes related to climate changes.

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