中文摘要：

基于土地利用变更调查数据,运用中国陆地生态系统服务价值当量表,分析了2001—2006年陕西省生态系统服务价值变化与不同尺度上的差异,探讨了耕地占补平衡和退耕还林工程对生态系统服务价值的影响,并分析了其生态系统服务价值动态.结果表明：研究期间,陕西省生态系统服务价值整体呈增加趋势,其中,林地生态系统服务价值量占全省总价值量的比例达76.5%,林地生态系统服务价值增加量占全省增加总量的97.5%,生态系统服务价值降低的地类有耕地、草地和未利用地,耕地生态系统服务价值降低量占全省总降低量的81.7%.研究期内不同地市生态系统服务价值均有不同程度的增加,延安市的增加量最大,其次是榆林市,杨凌区最低.陕西省生态系统服务价值增加最明显的地区为黄土高原地区,其增加量占全省生态系统服务价值总增加量的61.2%,秦巴山地次之,关中平原地区最低.陕西省耕地占补平衡力度相对较大,其2001—2006年耕地生态系统服务价值呈增加趋势.退耕还林工程使黄土高原区生态系统服务价值增加最多,关中平原区增加最少.

英文摘要：

Based on the investigation data of land use change and the services values of terrestrial ecosystems in China, this paper analyzed the variations of ecosystem services values and their differences at different scales in Shaanxi Province, and approached the effects of the requisition-compensation balance of cultivated land and the program of conversing cropland into forestland on the ecosystem services values as well as their dynamic variations in the Province from 2001 to 2006. In the study period, the total ecosystem services value in the Province had an overall increasing trend. The ecosystem services value of forestland accounted for more than 76.5%, and its increment occupied 97.5% of the total; whereas the ecosystem services values of arable land, grassland, and unused land decreased, and the decrement of the ecosystem services value of cultivated land accounted for 81.7% of the total. The services values of urban ecosystems in the Province in 2001-2006 all increased to some extent, with the largest increment in Yan’an City, followed by in Yulin City, and the smallest in Yangling District. The ecosystem services value in the Loess Plateau increased most obviously, with the increment accounted for 61.2% of the total, followed by in the Qinba Mountains, and the least in the Guanzhong Plain. The requisition-compensation balance of cultivated land in the Province did well, with the ecosystem services value presented an increasing trend. The program of conversing cropland into forestland increased the ecosystem services value most in the Loess Plateau whereas the least in the Guanzhong Plain.