Study on dynamic changes in ecosystem service values in Qinglong County based on coefficient correction

Ecosystem service value is an important index to reflect the ecological environment condition and ecological benefit of a region, and the change of ecosystem service value is of great significance to regional ecological construction and sustainable development. In reference to the research of Xie Gaodi and others, the Costanza ecosystem service value assessment model was used to study the Qinglong County of Hebei Province. The regional differences coefficient and the correction coefficient of social development were used to adjust the table of equivalent factors of the ecological service value. A new dynamic assessment model for ecosystem service value was constructed, and the dynamic changes in ecosystem service value in the Qinglong County were evaluated and analyzed from 2006 to 2016. The results of the study indicate that:1) the total ecosystem service value of Qinglong County in 2006-2016 showed a trend of increase-decrease-increase, with a total increase of 4.507 billion Yuan, an annual change of 451 million Yuan per year, and an annual average change rate of 4.54%. 2) Among different land types, forest land and garden land provided the highest value of ecosystem services, followed by water area and cultivated land, and unused land and wetland had the lowest value. 3) The value structure of the ecosystem service function of the whole research area remained stable, and the ranking was as follows:biodiversity conservation > water conservation > climate regulation > gas regulation > soil formation and protection > raw materials > waste disposal > recreation culture > food production. There were differences in the value of ecosystem services between different regions and the values were continually changing depending on the development of a society. Compared with previous static assessment models on ecosystem service values, this study took into account the impact of location conditions and social development in the study area. The model is more suitable for a small-scale county and can reveal the dynamic change mechanism and effect of a regional ecosystem service value.