National Agriculture and Food Research Organization, Hokkaido Agricultural Research Center, Memuro Research Station (NARO/HARC/M), Shinsei-Minami, Memuro, Kasai, Hokkaido 082-0081, Japan.
National Agriculture and Food Research Organization, Central Agricultural Research Center, Hokuriku Research Station (NARO/CARC/H), Inada, Joetsu, Niigata 943-0193, Japan.
Sci Total Environ. 2024 Nov 25;953:175750. doi: 10.1016/j.scitotenv.2024.175750. Epub 2024 Sep 1.
Time series analysis of overwintering cereals in snowy areas has revealed several phenological patterns associated with climate changes in winter. Herein, to investigate the recent effect of climatic variations on overwintering cereals, we investigated the phenology over multiple decades at three snowy region sites with an air temperature (T) increase trend of 0.48-1.09 °C/decade. Our findings were as follows: heading trends differed within the same cultivar at different sites; phenology was promoted with increasing temperatures in cooler regions and decreasing snow duration in regions with heavy snow; crown temperature (T) was a more direct determinant than T in phenology estimation model in regions with heavy snow. A thermal gap of more than a few degrees Celsius between T and T, owing to the insulation effect of snowpack, affected the phenology of overwintering cereals. A shorter snow cover period promoted phenology in locations with temperatures >0 °C. Subsequently, we found that when the thermal gap was >0 °C of the growing temperature range, T directly helped determine the phenology of overwintering cereals, and irrespective of the warming trend, the periodic inflow of cold air into the northern mid-latitudes of the Northern Hemisphere and associated snow cover changes dominated T, resulting in annual phenological anomalies with a range of fluctuations of approximately 1 month. The trend of increasing T during spring in northern Japan is consistent with the global trend, with a pronounced trend of advancing phenology reaching >4 days/decade in a typical cooler location experiencing snowmelt in March.
对雪区越冬作物的时间序列分析揭示了几种与冬季气候变化相关的物候模式。在此,为了研究气候变异对越冬作物的近期影响,我们在三个雪区地点调查了多个十年的物候变化,这些地点的空气温度(T)呈每十年增加 0.48-1.09°C 的趋势。我们的发现如下:同一品种在不同地点的抽穗趋势不同;在较凉爽的地区,随着温度的升高和积雪持续时间的减少,物候期提前;在积雪较多的地区,冠层温度(T)比 T 更能直接决定物候期估算模型;由于积雪的隔热效应,T 和 T 之间的温差超过几度会影响越冬作物的物候期。较短的积雪期促进了气温高于 0°C 地区的物候期。随后,我们发现当热间隙大于生长温度范围的 0°C 时,T 直接有助于确定越冬作物的物候期,并且不论变暖趋势如何,冷空气周期性地流入北半球中纬度地区以及相关的积雪变化主导了 T,导致每年物候期出现大约 1 个月波动范围的异常。日本北部春季 T 升高的趋势与全球趋势一致,在典型的较凉爽地区,3 月份融雪时,物候期提前的趋势明显达到 4 天/十年以上。