Changes of spring wind erosion based on wind erosion climate factor in the black soil region of Northeast China

The dry and windy climate and low ground cover in spring in the black soil region of Northeast China make the soil strongly affected by wind erosion, which seriously threatens the food security and ecological security of this region. In this paper, based on the daily observation data of 124 meteorological stations in study area from 1961 to 2020, seasonal and monthly wind erosion climate factor (C) in spring (March to May) were calculated by using the method proposed by the Food and Agriculture Organization of the United Nations (FAO), the wind erosion characterization in spring were systematically analyzed based on C by various statistical analysis methods. The results showed that in the past 60 years, spring wind erosion climate factor (C-Sp) and monthly C of the whole region and each province (region) all showed highly significant decreasing trend, but they began to show rebounded trend in the middle or late 2000s. C-Sp of the study area showed a significant upward trend since 2008 with an increase of 4.59 (10a)(-1). The main contributors to this upward trend are the changes of C in March and in April. For the four provinces (regions), C-Sp in Heilongjiang, Jilin, Liaoning and eastern Inner Mongolia all showed rebounded since 2008, 2011, 2008 and 2009, respectively. The rebounded trend of C-Sp in eastern Inner Mongolia was the most obvious with a tendency rate of 11.27 (10a)(-1), and its mutation occurred after 1984. The rebound trend of C-Sp in Heilongjiang Province takes the second place, with a trend rate of 4.72 (10a)(-1), but there's no obvious time mutation characteristics. The spatial characteristics of C-Sp and monthly C are similar, showing decreasing characteristics centered on the typical black soil belt of Northeast China. Compared with 1961-1990, in the period from 1991 to 2020, the proportion of high value areas (C-Sp>35, monthly C>10) has decreased to varying degrees, while the proportion of low value areas (C-Sp & LE;10, monthly C & LE;4) has increased. The trends of seasonal and monthly C in 82.2%& SIM;87.7% of the stations show significant decreases at 95% confidence level. C-Sp is closely related to wind speed at 2m height, temperature difference, minimum temperature and precipitation in the same period, of which the correlation between C-Sp and wind speed is the strongest, indicating that the main control factor for C-Sp in the study area is wind speed, but the impact of the change of temperature and precipitation on C-Sp cannot be ignored.