| 季节尺度下三江源生态系统服务时空演变及权衡协同 |
| 摘要点击 260 全文点击 3 投稿时间：2025-08-26 修订日期：2025-11-04 |
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| 中文关键词 生态系统服务（ESs） 权衡与协同 权衡协同指数（TSI） InVEST模型 三江源地区（TRHR） |
| 英文关键词 ecosystem services（ESs） trade-off and synergy trade-off synergy index（TSI） InVEST model Three-River Headwaters Region（TRHR） |
| DOI 10.13227/j.hjkx.202508268 |
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| 中文摘要 |
| 深入探究生态系统服务间权衡协同关系的时空分布特征对于理解生态过程以及指导生态管理具有重要意义，然而，当前相关研究多聚焦于年尺度层面，针对季节等更短时间尺度的研究仍较为缺乏. 基于InVEST与改进CASA模型，评估2000~2022年三江源地区季节性产水量、土壤保持量和净初级生产力，揭示其季节与年度变化规律，并采用Spearman相关性分析与权衡协同指数（TSI）方法，量化上述服务在季节尺度上的权衡与协同关系. 结果表明，①在时间尺度上，年度方面，土壤保持量呈先增后减趋势；净初级生产力持续增长；产水量呈“减-增-减”态势. 季节方面，3种ESs在各季节差异显著，但夏季贡献率均超55%. ②在空间尺度上，季节与年度的空间分布均呈现出东南高-西北低的格局，高值区分布于玉树市、囊谦县等东南部地区. ③Spearman分析表明，研究时段内，3种ESs两两间均呈正相关，存在协同关系. 不同服务对的TSI在空间上较为分散，季节间差异明显，但总体上以中高度协同作用为主. 针对不同季节及区域提出针对性的实施建议，可为三江源地区的季节性放牧管理、水资源优化调度及生态保护工程的科学实施提供指引. |
| 英文摘要 |
| A thorough investigation into the spatio-temporal distribution characteristics of trade-offs and synergies among ecosystem services is of great significance for understanding ecological processes and guiding ecological management. However， current research mainly focuses on the annual scale， while studies on shorter time scales such as seasons are still relatively scarce. Based on the InVEST and improved CASA models， this study evaluated the seasonal water yield， soil conservation， and net primary productivity in the Three-River Headwaters Region from 2000 to 2022， revealing their seasonal and inter-annual variation patterns. Spearman correlation analysis and the Trade-off Synergy Index （TSI） method were employed to quantify the trade-offs and synergies among these services at the seasonal scale. The results show that： ① On the temporal scale， inter-annually， soil conservation first increased and then decreased； net primary productivity continued to grow； and water yield showed a “decrease-increase-decrease” trend. Seasonally， the three ESs varied significantly in each season， but their contribution rates in summer all exceeded 55%. ② On the spatial scale， both the seasonal and inter-annual spatial distributions presented a pattern of high in the southeast and low in the northwest， with high-value areas located in southeastern regions such as Yushu City and Nangqian County. ③ Spearman analysis indicated that during the study period， all pairs of the three ESs were positively correlated， showing a synergistic relationship. The TSI values for different service pairs were spatially dispersed and varied significantly among seasons， but overall， medium to high synergy dominated. Targeted implementation suggestions for different seasons and regions are proposed， which can provide guidance for the scientific implementation of seasonal grazing management， water resource optimization scheduling， and ecological protection projects in the Three-River Headwaters Region. |
