Accurately monitoring and evaluating changes in ecological environment quality under earthquake disturbances is of great significance for the restoration and protection of regional ecological environment. In view of the "8·8" earthquake in Jiuzhaigou County in 2017, we used high-precision remote sensing image to analyze the vege-tation damage caused by the earthquake, and calculated remote sensing ecological index (RSEI) for the pre-earthquake period, post-earthquake period and 3-year recovery period based on GEE platform to analyze the spatio-temporal variation of ecological environment in Jiuzhaigou County, Sichuan Province. Then, we used geodetector to reveal the influencing factors of spatio-temporal variations in ecological restoration. The results showed that the fractional vegetation cover of Jiuzhaigou County decreased from 0.71 before the earthquake to 0.69 after the earthquake. The area of higher coverage zone decreased by 310.78 km2, while the area of others increased. The mean RESI decreased from 0.50 in the pre-earthquake period to 0.42 in the post-earthquake period, and increased to 0.50 after the 3-year recovery period. The ecological environment quality in the three period was mainly at the good and ave-rage levels, and it was distributed in the central and southern mountains and the eastern river valley. Annual precipitation, elevation, wet and greenness were the main factors controlling ecological quality restoration in Jiuzhaigou County, and the increases in the interaction among these factors would affect the spatial variations of regional ecological environment quality restoration.
准确监测和评估地震扰动下生态环境质量变化,对区域生态环境恢复和保护具有重要意义。本研究针对九寨沟县2017年“8·8”地震,利用高精度遥感影像分析地震对区域植被破坏情况,基于GEE平台测算地震前、后及3年恢复期的遥感生态指数(RSEI),分析地震扰动下四川省九寨沟县生态环境时空变化特征,并采用地理探测器揭示生态质量恢复时空差异的影响因素。结果表明: 九寨沟县植被覆盖度由震前的0.71减少到震后的0.69,高覆盖区面积减少310.78 km2,其余区域面积增加。RESI均值由震前0.50下降为震后0.42,3年恢复期后上升到0.45;震前、震后、恢复期的生态环境质量均以良和中等为主,主要分布在中部南部山脉和东部河谷地区。年降雨量、高程、湿度、绿度是九寨沟县生态质量恢复分异的主控因子,各因子间交互增强会影响区域生态环境质量恢复的空间分异。.
Keywords: Jiuzhaigou County; earthquake; ecological environment quality; geodetector; remote sensing ecological index.