Spatiotemporal evolution of soil erosion and quantitative evaluation of its influencing factors in northeast Hubei
To quantitatively reveal the spatiotemporal evolution characteristics of soil erosion and the contribution of its influencing factors in northeast Hubei,the spatiotemporal changes in soil erosion intensity were explored based on the RUSLE model and remote sensing image data from 2000 to 2020,and the dominant factors and interaction effects influencing soil erosion were identified using the geo-detector model.The results showed that the soil erosion modulus in northeast Hubei exhibited a fluctuating decreasing trend from 2000 to 2020.The soil erosion modulus in 2020 decreased by 62.82%compared with that in 2000.The erosion intensity was dominated by slight and mild erosion,and the areas of the two erosion intensities accounted for>82%of the total erosion area.The proportion of slight erosion increased,and the proportion of mild,moderate,strong,extremely strong and severe erosion showed a fluctuating downward trend.The soil erosion status in the central and northeastern regions was significantly improved,and the soil erosion modulus in the northeastern region remained high.Cultivated land is the main land type of soil erosion,and its soil loss accounts for 74.82%-82.42%of the total loss.Strong and severe erosion accounted for 69.33%and 85.55%,respectively,in the slope range of 15°-35°.The explanatory power(q)value of soil erosion influencing factors is expressed as vegetation coverage>slope>altitude>land use>rainfall.Vegetation coverage was the main factor affecting the change in soil erosion in northeast Hubei,and the interaction between vegetation coverage and slope had the greatest explanatory power for soil erosion intensity(32.28%).Areas with vegetation coverage<0.3 and slopes>35° had the highest risk of soil erosion.In the past 20 years,the soil erosion in northeast Hubei has clearly improved,which is mainly due to the implementation of soil and water conservation measures such as closing hillsides to facilitate afforestation and returning farmland to forests,and multi-factor collaborative management.
northeast HubeiRUSLE modelsoil erosiontemporal and spatial changesgeographic detector
国家科技期刊平台
NSTL
万方数据
维普
