The existing research on watershed ecological compensation pays less attention to the special basin (without significant relationship between upstream and downstream or the compensation subject and object are distributed on the left and right banks of the basin), which makes the previous research methods difficult to be effectively used. Therefore, it is necessary to explore a new method to solve the problem of ecological compensation in special basin. Taking Taihu Lake Basin (Jiangsu section) as an example, this paper first calculates the ecosystem service value (ESV) of the region from 2005 to 2018, and makes a spatial-temporal analysis; through the construction of land use intensity index system and coupling coordination degree model, the relationship between ESV and land use intensity is explored, and the reasons for its change are explored; finally, this paper constructs a compensation standard accounting model based on GDP, basin area and population, and applies it to the accounting of compensation standard and the identification of compensation subject and object. The results show that: from 2005 to 2018, the land use of this area changed greatly, mainly reflected in farmland and urban land; ESV decreased by 21.41%, which was mainly affected by the change of land use, the downturn of grain market, and farmers' going out to work; the coupling coordination degree of land use intensity and ESV in this area entered the stage of coordinated development from 2010, but the situation of each city was quite different; population, area and GDP have a great influence on compensation subject and object, and compensation standard. This study can not only provide a complete methodology for governments to implement ecological compensation in special basins, and improve the existing ecological compensation theory.

现有流域生态补偿研究较少关注特殊流域（上下游关系不显着或补偿主体和客体分布在流域左右岸），使得以往的研究方法难以有效地使用。因此，有必要探索解决特殊流域生态补偿问题的新方法。以太湖流域（江苏段）为例，本文首先测算了该区域2005-2018年的生态系统服务价值（ESV），并进行了时空分析；通过土地利用强度指标体系和耦合协调度模型的构建，探索ESV与土地利用强度的关系，探究其变化的原因；最后，本文构建了基于GDP、流域面积和人口的补偿标准核算模型，并将其应用于补偿标准的核算和补偿主体和对象的识别。结果表明：2005-2018年，该区土地利用变化较大，主要体现在耕地和城镇用地；ESV下降21.41%，主要受土地用途变化、粮食市场低迷、农民外出务工等影响；该地区土地利用强度与ESV耦合协调度从2010年开始进入协调发展阶段，但各城市情况差异较大；人口、面积和GDP对补偿主体和补偿对象、补偿标准有很大影响。