Habitat networks play an important role in species survival and biodiversity conservation. However, habitat networks vary among species; habitat networks generated by simply overlapping networks of a few species do not meet the needs of most species. It is necessary to develop theories and methods of network recombination so that different habitat networks can be combined into one complex network for empirical implementation in rapidly urbanizing areas. The purpose of this paper was to examine methods of recombining and optimizing habitat networks. The Su-Xi-Chang area of the Yangtze River Delta region was selected for study, and the Little Egret (Egretta garzetta), Mandarin Duck (Aix galericulata), and Ring-necked Pheasant (Phasianus colchicus) were selected as focal species because of their different biological characteristics, habitats, and diets. The habitats of these species were identified using our previously developed method, the Conceptual Constraint Model of Species Habitat Patch (CCMSHP) from land-use data for 2010. Potential corridors were identified based on the identified habitats using the least-cost path method. The habitat networks of the three focal species were overlapped using ArcGIS. From the perspective of the set covering problem, these three habitat networks were combined by recombining network structural elements, i.e., patches with patches, patches with corridors, and corridors with corridors. Among these scenarios, the recombination of corridors with corridors was the most complex. A method for evaluating the ecosystem service value of corridors was developed, and the combined corridors and habitat network were identified with the model. Optimization of the habitat network was simulated by applying observation points as newly added habitats and corridors, using a dataset (2003-2014) obtained from the website of China Bird Report. All data were calculated using ArcGIS version 10.0. After recombination, the total area, length, and ecosystem service value of all corridors were reduced by 16%, 68%, and 10%, respectively, relative to the original values; however, the connectivity of the network remained the same. The combined network covered 75 observation points (more than 86% of all points) and achieved the target of simultaneously maximizing the economic and ecological benefits. After model optimization, the habitat network covered all 84 observation points after 2010, and the total area, length, and ecosystem service value of all corridors increased by 19%, 21%, and 27%, respectively, relative to the original values. These results demonstrate that the combined quantitative analysis method developed here is reasonable and feasible. This method will be useful for theoretical research on habitat network recombination.