Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water. Then, multi-objective linear programming model and PLUS (Patch-generating Land Use Simulation) model were applied at patch scale to assess and compare carbon storage in various scenarios, considering both carbon storage maximization and urban development requirements. The results were presented as follows. (1) Urban woodland carbon pool accounts for only a fraction of total carbon pool, and the role of soil and building carbon pools cannot be ignored. (2) Compared with the current situation, the carbon-growth optimized scenario will lead to the increase of total carbon storage by 38,568.31 tons. (3) Carbon-growth optimized scenario has reduced carbon storage in Woodland, Cropland, Village, Water compared to the Natural growth scenario, but has increased carbon storage in Garden plots, Street, Urban district, Town and other areas. Therefore, we find that for fast-growing cities, rationally planning built-up areas and woodland areas can achieve the twin goals of economic development and maximizing regional carbon storage. Furthermore, the implementation of new energy policies and projects such as green roofs can help to achieve regional carbon neutrality. The study provides new insights into the accounting of carbon pools within cities and the simulation of fine-grained land use planning based on the dual objectives of carbon stock maximization and urban development.

Ecosystems and their services to society have exhibited dramatic degradation all over the world, and landscape planning based on ecosystem service (ES) science is a promising way to mitigate ES loss and improve human well-being. However, ecosystem health, which is crucial for intrinsic ecosystem values, may be overlooked in ES-based landscape planning. Therefore, we proposed a landscape functional zoning method by combining the ES and EH using the Jinan Southern Mountainous Area as a case study. Specifically, we first quantified and mapped six ESs (including regulating, cultural, and provisioning services) and three EH properties (ecosystem vigor, organization, and resilience). Then, we used coupling coordination analysis to determine the coordination of the ES and EH, and adopted bundle analysis to reveal ES-EH compositions. Finally, landscape functional zones were delineated by spatially overlapping the maps of ES-EH bundle types and coupling coordination degrees. The results show that the different ESs and EH properties exhibited uneven spatial distributions. In terms of the ES-EH coupling coordination degree, high values were located along the mountains and aggregated in the eastern part of the study area, and the Caishi town had the highest coupling coordination degree on the town scale. Furthermore, five ES-EH bundle types were identified, i.e., bundles of multifunctionality, subordinate multifunctionality, the highest crop production, ESs and EH properties of medium levels, and ESs and EH properties of low levels. Finally, nine landscape functional zones based on the ES-EH bundle and coupling coordination were identified, and the grids within one zone were homogeneous in terms of their ES-EH compositions and coupling coordination. This study can contribute to the integration of ES and EH into landscape planning and provides a zoning method as a spatial instrument to achieve synergic ES-EH management.