Conservation Planning of Multiple Ecosystem Services in the Yangtze River Basin by Quantifying Trade-Offs and Synergies

The importance of protecting ecosystem services has been increasingly recognized due to their substantial benefits for human beings. Traditional conservation planning methods for locating and designing prioritized areas focus on high-value areas. However, ecosystem services have an intrinsic correlation of trade-offs and synergies among them; thus, solely selecting high-value areas cannot ensure efficiency in the conservation of multiple ecosystem services. Pursuing the protection of one ecosystem service may compromise the effectiveness of conserving others. Therefore, this study aims to develop a method for identifying the optimal ecosystem service protected areas in more efficient ways by quantifying the spatial relationships of ecosystem services on a local scale. We examined the correlations between all possible paired combinations of four ecosystem services using the Local Moran’s I and classified them into five cluster types in the Yangtze River Basin. To address conflicting solutions for multiple ecosystem service goals, we employed systematic conservation planning to identify priority areas for ecosystem service protection, following the principles of representativeness, complementarity, and persistence. By establishing scenarios that optimize each and all ecosystem services at target levels of 20%, 40%, 60%, and 80%, we observed that any two of the four services were positively correlated, occupying vast areas in the Yangtze River Basin. However, the high-value areas of each ecosystem service did not coincide in their spatial distributions. Under the same target, more high-value areas could be selected as the best solutions by only optimizing a single ecosystem service. The degree of overlap between priority areas varied considerably across optimizations for individual ecosystem services, particularly when setting lower targets. Our findings suggest that integrated conservation planning for all ecosystem services is more efficient than layering multiple single plans. Understanding the correlations between ecosystem services can lead to more effective management and sustainable decision making.