Under the background of the “Four Million Mu” ecological project and “the community of life is the mountain， water， forest， field， lake， grass and sand”， this paper studies the habitat quality and carbon storage and influencing factors under the land use change of the Aksu River Basin and typical areas in the basin-- the Kekeya greening project， so as to provide a basis for the ecological and environmental protection policy of the Aksu River Basin， provide guidance for land use， carry forward the spirit of Kekeya， and promote the sustainable development of the Aksu River Basin. Based on the land use data from 2000 to 2020， the Habitat quality and Carbon storage module in the InVEST model were used to explore the spatial and temporal variation patterns and influencing factors of Habitat quality and Carbon storage in the Aksu River Basin from 2000 to 2020. The results show that： （1） From 2000 to 2020， the Habitat quality of the Aksu River Basin remained stable on the whole， and there was a slight increase， and the areas with better Habitat quality were distributed in the upper reaches of the basin and oases on both sides of the basin， mainly forest land and grassland land use types. In the past 20 years， the Habitat quality of Kekeya Greening Project Area has shown a steady upward trend. （2） The Carbon storage in the Aksu River Basin showed a stable growth trend during the study period from 2000 to 2020， with a total increase of 13.21×10⁶ t， and the areas with high Carbon storage values showed the distribution characteristics of "northern central cluster and southern band". The Carbon storage in the Kekeya greening project area showed an increasing trend， which was consistent with the overall trend of the Aksu River Basin. （3） Habitat quality and Carbon storage presented a significant synergic relation. The influencing factors of regional Habitat quality and Carbon storage were analyzed by using geographic detectors， land use type was the main influencing factor of Habitat quality and Carbon storage， and the interaction of influencing factors showed two-factor enhancement or nonlinear enhancement.