基于GWR的陕西省生态系统服务价值时空演变特征及影响因素分析

基于生态系统服务价值（ESV）评估体系、地理探测器与GWR模型,分析了2000—2015年的陕西省107个县级行政单位ESV时空演变特征、影响因素及主导因子作用强度的空间分异特征。结论如下:（1）15年间陕西省ESV先升后降,其中供给服务与调节服务是陕西ESV的核心功能。（2）历年ESV高低值分布都表现出中心低,边缘高,北低南高的空间特征,ESV差值变化特征较为明显,全境基本被负值覆盖,高值区域集中于陕北。（3）经济因素对ESV的解释作用最强,社会因素与自然因素次之。（4）各主导因子对ESV的作用的空间强度不同,其中土地垦殖率呈现出由南向北逐渐递减的特征,人均GDP从南到北逐渐增强,人口密度由东北向西南逐渐增强,城乡居民人均收入对ESV则表现出由北向南从负值向正值过度且作用逐渐递增的特征。

Spatiotemporal evolution of land ecosystem service value and its influencing factors in Shaanxi province based on GWR

Based on the ecosystem service value (ESV) assessment system, geo-detector and GWR model, the spatiotemporal evolution characteristics, influencing factors and dominant factors of ESV of 107 county-level administrative units in Shaanxi province from 2000 to 2015 were analyzed. The spatial heterogeneity of the intensity of the ESV was examined. The main conclusions are as follows. (1) From 2000 to 2015, the ESV in Shaanxi province showed the characteristics of rising and then decreasing. In 2005, the ESV reached the peak in the study period, while that of 2015 saw the bottom. The supply and regulation services were the core functions of the ESV in the province. The service contents in the food production and maintenance of nutrient recycling are the two types of services. (2) The distribution of ESV over the years showed a pattern of "low in the center, while high at the edge; high in the south, but low in the north". The areas with high values were distributed in the Qinling Mountains and the Ziwuling Mountains, and those with low values were concentrated in the Guanzhong Plain. The spatial changes in the ESV are more obvious. The whole province is basically covered by negative values. The high-value areas are less concentrated and concentrated in Northern Shaanxi. The second-highest values?areas are scattered in Guanzhong and Southern Shaanxi. (3) Economic factors have the greatest impact on the ESV, with the strongest interpretation, followed by social factors, and natural factors contribute the least to the interpretation of ecosystem services. (4) The spatial intensity of the effects of various dominant factors on the ESV is different. The land reclamation rate is characterized by a gradual decline from south to north. The per capita GDP gradually increases from south to north, and the population density increases from northeast to southwest. The land reclamation rate, per capita GDP, and population density are all negatively correlated with ecosystem services. The per capita income of urban and rural residents shows that the ESV is changing from negative to positive, from north to south and gradually increases.