| 基于地理分区的甘肃省三生空间生态系统服务价值时空演变及其驱动力 |
| 摘要点击 216 全文点击 2 投稿时间：2025-05-19 修订日期：2025-07-26 |
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| 中文关键词 四大地理分区 三生空间（PLES） 生态服务价值（ESV） 驱动力 时空演变 |
| 英文关键词 four major geographical regions of China production-living-ecological spaces （PLES） ecosystem service value （ESV） driving forces spatiotemporal evolution |
| DOI 10.13227/j.hjkx.202505174 |
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| 中文摘要 |
| 大尺度区域中基于地理分区评估生态系统服务价值（ESV）是优化区域生态环境的必要举措. 为探明甘肃省四大地理分区三生空间（生产、生活和生态空间）的ESV动态及驱动机制，基于1990~2020年土地利用数据，综合运用转移矩阵、当量因子法和地理探测器，分析四大地理分区三生空间的演变特征及ESV时空分异规律. 结果表明：①甘肃省全域ESV从1990年的2 095.33亿元增至2020年的3 787.69亿元，增长80.80%，呈现“东南高、西北低”的空间格局. ②甘肃省西北地区农业生产用地增加236 369.16 hm2，与草地生态用地相互转换显著，ESV增长90.01%；青藏地区水域生态用地增加33 538.59 hm2，ESV增长79.50%；北方地区农业生产与草地用地相互转化面积达297 998.01 hm2，ESV增速最快（增长80.85%）；南方地区ESV总量最低但增速稳定为77.94%. ③全域尺度下，NDVI、蒸散发量及太阳辐射对ESV空间分异的解释力达50%，是核心驱动因子；四大地理分区视角显示，西北地区受NDVI主导，影响力为47%，青藏地区受NDVI与蒸散发量协同影响，影响力分别为49%和45%，北方和南方地区驱动力不显著但受降水与GDP间接调控. 研究揭示了自然禀赋不同的四大地理分区的ESV空间分异，为分区制定差异化保护策略提供科学依据. |
| 英文摘要 |
| Assessing ecosystem service value （ESV） based on geographical zoning in large-scale regions is essential for optimizing regional ecological environments. To explore the dynamics and driving mechanisms of ESV in the production-living-ecological spaces （PLES） of the four major geographical regions in Gansu Province， this study utilized land use data from 1990 to 2020， integrating the transfer matrix， equivalent factor method， and geographical detector to analyze the evolution characteristics of PLES and the spatiotemporal patterns of ESV. The results indicate： ① The total ESV of Gansu Province increased from 209.533 billion yuan in 1990 to 378.769 billion yuan in 2020， an 80.80% growth， exhibiting a spatial pattern of “higher in the southeast and lower in the northwest.” ② In the northwestern region of Gansu Province， agricultural production land increased by 236 369.26 hm2， with significant mutual conversion with grassland ecological land， leading to a 90.01% growth in ESV. In the Qinghai-Xizang Region， water ecological land increased by 33 538.59 hm2， contributing to a 79.50% rise in ESV. In the northern region， the mutual transformation between agricultural production land and grassland reached 297 998.01 hm2， resulting in the fastest ESV growth （80.85%）. The southern region had the lowest total ESV but a steady growth rate of 77.94%. ③ At the regional scale， NDVI， evapotranspiration， and solar radiation explained 50% of the spatial heterogeneity in ESV， serving as core driving factors. From the perspective of the four geographical regions， the northwestern region was dominated by NDVI （47% influence）， the Qinghai-Tibet Region was jointly influenced by NDVI and evapotranspiration （49% and 45%， respectively）， while the northern and southern regions showed no significant driving factors but were indirectly regulated by precipitation and GDP. This study reveals the spatial heterogeneity of ESV across the four geographically distinct regions and provides a scientific basis for formulating differentiated conservation strategies. |
