Land degradation and development (LDD) result from the combined driving force of natural constraints and human activities on the productivity and stability of terrestrial ecosystems. Understanding the spatiotemporal dynamics of LDD is crucial for guiding ecological restoration in the context of rapid environmental and socioeconomic changes. Mutation years were first identified by applying the Mann-Kendall test (MK) to the area time series of the three dominant landuse types with the largest proportional coverage in each climatic zone, and were then used to define the study sub-periods (Stage 1 and Stage 2) from 2000 to 2020. Change vector analysis (CVA), based on GPP and NEP change vectors, and a generalized linear model (GLM) were used to quantify the spatiotemporal patterns of LDD and its driving mechanisms across China's seven major climatic regions; in the CVA framework, vector magnitude represents the intensity of ecological change, whereas vector direction distinguishes development from degradation. The MK results indicate that a mutation year around 2010 is detected in most climatic regions. CVA results show persistent degradation in the arid northwestern deserts, stage-dependent recovery in Inner Mongolia grasslands, stable forest-cropland contrasts in Northeast China, and widespread post-2010 degradation in North China. Additionally, the analysis uncovers mixed developmentdegradation mosaics in subtropical regions and increasing fragmentation in tropical coastal zones, showcasing the regional variability of LDD patterns. The results of GLM showed that natural factors predominantly drive LDD except construction land in Stage 1, while anthropogenic factors become more influential in cropland and construction land in Stage 2. GLM results showed clear stage-dependent shifts in the relative importance of natural and anthropogenic drivers, while additional GeoDetector analysis further indicated that interactions among selected drivers often explained more spatial heterogeneity than single factors alone. Overall, this study proposes climate-zone-specific restoration pathways by explicitly linking LDD spatiotemporal patterns to the coupled effects of climate constraints and human pressures. This study provides an integrated scientific foundation for restoration prioritization in China's terrestrial ecosystems.