| 黄河流域陕西段生态系统服务的权衡协同关系及驱动机制分析 |
| 摘要点击 514 全文点击 4 投稿时间：2025-01-08 修订日期：2025-09-02 |
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| 中文关键词 土地利用/覆被变化（LUCC） 生态系统服务（ES） 权衡协同 驱动机制 黄河流域陕西段 |
| 英文关键词 land use/cover change（LUCC） ecosystem services（ES） trade-offs and synergies driving mechanisms Shaanxi section of the Yellow River Basin |
| DOI 10.13227/j.hjkx.202501096 |
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| 中文摘要 |
| 探索黄河流域陕西段近20 a生态系统服务演变模式，测度多尺度生态系统服务（ES）之间的权衡与协同关系，并分析其驱动机制，为黄河流域陕西段的生态环境保护与资源管理提供理论支持. 基于InVEST模型，对2000~2020年间该区域的碳储存、粮食供给、生境质量、土壤保持与水源涵养进行评估，探讨多尺度生态系统服务的时空演化特征，识别生态系统服务之间的协同与权衡机制，揭示其时空聚类特征，并通过逻辑回归模型识别影响生态服务关系的关键驱动因素. 结果表明：① 近20 a，耕地和草地面积总计占74.64%，建设用地增加2 027 km2，草地增加1 721 km2，反映了城市化和农业扩展对土地利用的推动； ② 不同生态系统服务在空间上呈现显著异质性，碳储存和生境质量在秦岭林地区域为高值，粮食供给高值区集中于关中平原农业区，水源涵养高值区主要分布于南部秦岭和汉江流域，土壤保持高值区主要分布于秦岭山区及陕北丘陵等区域；③ 在不同尺度上，陕西段生态系统服务的协同与权衡关系差异显著，栅格尺度上粮食供给与生境质量呈显著权衡，相关系数为-0.389，县域尺度上碳储存与生境质量呈强协同，相关系数为0.923，子流域尺度上相关性趋于平稳；④ 通过逻辑回归分析，揭示降水量、归一化植被指数和人口密度对不同空间聚类模式下生态系统服务相互关系起到主要驱动作用. 研究成果可为黄河流域陕西段生态系统功能分区及生态系统服务提升提供理论依据与实践基础. |
| 英文摘要 |
| This study explores the evolutionary patterns of ecosystem services in the Shaanxi section of the Yellow River Basin over the past two decades， quantifies trade-offs and synergistic relationships among multi-scale ecosystem services （ES）， and analyzes their driving mechanisms to provide theoretical support for ecological conservation and resource management in the region. Using the InVEST model， we assessed carbon storage， food production， habitat quality， soil conservation， and water yield from 2000 to 2020， examining the spatiotemporal evolution characteristics of multi-scale ecosystem services， identifying synergistic and trade-off mechanisms among ecosystem services， revealing their spatiotemporal clustering patterns， and employing logistic regression models to identify key drivers affecting ecosystem service relationships. The results indicate： ① Over the past 20 years， cropland and grassland combined accounted for 74.64% of the total area， with construction land increasing by 2 027 km2 and grassland expanding by 1 721 km2， reflecting the influence of urbanization and agricultural expansion on land use patterns. ② Different ecosystem services exhibited significant spatial heterogeneity： carbon storage and habitat quality showed high values in the Qinling Mountain forest regions； food production was concentrated in the Guanzhong Plain agricultural areas； water yield was mainly distributed in the southern Qinling Mountains and the Hanjiang River Basin； and soil conservation was mainly distributed in the Qinling Mountains and the hilly areas of northern Shaanxi. ③ Synergistic and trade-off relationships among ecosystem services in the Shaanxi section varied significantly across different scales： At the grid scale， food production and habitat quality showed significant trade-offs with a correlation coefficient of -0.389； at the county scale， carbon storage and habitat quality demonstrated strong synergy with a correlation coefficient of 0.923， while correlations stabilized at the watershed scale. ④ Logistic regression analysis revealed that precipitation， normalized difference vegetation index， and population density served as primary drivers influencing ecosystem service relationships under different spatial clustering patterns. These research findings can provide theoretical foundations and practical guidance for ecosystem functional zoning and ecosystem service enhancement in the Shaanxi section of the Yellow River Basin. |
