| 基于MRSEI的红河流域上游生态环境质量动态评估与分区管控 |
| 摘要点击 452 全文点击 9 投稿时间：2025-07-29 修订日期：2025-10-17 |
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| 中文关键词 改进型遥感生态指数（MRSEI） 生态环境质量 时空变化 驱动因素 分区管控 |
| 英文关键词 improved remote sensing ecological index （MRSEI） ecological environment quality spatiotemporal changes driving factors zonal control |
| DOI 10.13227/j.hjkx.202507391 |
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| 中文摘要 |
| 红河是发源于云南境内的重要国际性河流，是云南省生态屏障、干热河谷脆弱带和生态廊道交汇区，区内生物多样性与水土流失和石漠化等生态问题并存. 系统分析评估流域生态环境质量空间分异、时空变化和驱动因素，进而提出分区管控措施，对云南省建成全国生态文明排头兵具有重要意义，也可为红河这一国际河流的开发保护与协同治理提供决策基础信息. 研究针对区内生态环境特点，探讨构建融合归一化山体植被指数（NDMVI）、湿度（WET）、干度（NDBSI）和热度（LST）的改进型遥感生态指数（MRSEI）作为生态环境质量评价核心参数并分析其适用性，基于2000~2020年的5期Landsat遥感数据建立MRSEI展开评估，获得红河流域上游生态环境质量空间分布及动态变化，采用Sen-MK趋势分析、Hurst指数及偏导数法揭示其演变趋势与驱动机制，根据生态环境质量演变特征将流域划分为5类管控单元，并提出相应管控措施. 结果表明：①相较于传统RSEI，MRSEI能够更准确反映植被覆盖变化，在研究区具有更优的适用性. ②研究区生态环境质量空间差异性显著，2000~2020年流域生态环境质量总体呈改善趋势，MRSEI均值从0.298 7升至0.322 1，南部植被恢复明显改善，但北部石漠化区域仍持续退化. ③预测未来研究区10.12%的区域生态将持续改善，另有26.18%的改善区域存在逆转风险. ④降水是主要正向影响因子，对生态环境质量改善作用显著，人类活动为负向影响因子，是生态环境质量退化与波动的重要驱动力. ⑤将流域划分为生态保护核心区、监测区、优化区、恢复区和潜力治理区这5类管控单元，并提出相应管控措施. |
| 英文摘要 |
| The Honghe River is an important international river originating in Yunnan， serving as an ecological barrier for the province， and is a meeting point for the dry-hot valley's fragile zone and ecological corridor. Within the region， biodiversity coexists with ecological issues such as soil erosion and rocky desertification. A systematic analysis assesses the spatial differentiation and temporal changes in the ecological environment quality of the watershed and the driving factors， thereby proposing zoning control measures， which is significant for establishing Yunnan as a national leader in ecological civilization and can provide foundational information for decision-making in the development， protection， and collaborative management of the Honghe River. This study， focusing on the ecological environment characteristics of the region， explores constructing an improved remote sensing ecological index （MRSEI） that integrates the normalized difference vegetation index （NDMVI）， humidity （WET）， aridity （NDBSI）， and temperature （LST） as core parameters for evaluating ecological environment quality and analyzes its applicability， establishing MRSEI based on five periods of Landsat remote sensing data from 2000 to 2020 for evaluation， obtaining the spatial distribution and dynamic changes of ecological environment quality in the upper reaches of the Honghe River Basin， employing Sen-MK trend analysis， Hurst index， and partial derivative methods to reveal its evolution trends and driving mechanisms. Based on the characteristics of ecological environment quality evolution， the five types of control units with appropriate control measures were proposed. The results indicate that： ① Compared to the traditional RSEI， MRSEI could more accurately reflect changes in vegetation cover， showing better applicability in the study area. ② There was a significant spatial disparity in ecological environment quality in the study area； from 2000 to 2020， the overall trend of ecological environment quality in the watershed improved， with MRSEI mean increasing from 0.298 7 to 0.322 1. The vegetation in the southern part noticeably improved， while the rocky desertification area in the north continued to degrade. ③ It was predicted that 10.12% of the area in the future study region will continue to improve ecologically， as well as 26.18% of the improved areas at risk of reversal. ④ Precipitation was a major positive influencing factor， significantly contributing to the improvement of ecological environment quality， whereas human activities were negative influencing factors， serving as major driving forces for ecological environment quality degradation and fluctuations. ⑤ The watershed was classified into five types of control units： ecological protection core area， monitoring area， optimization area， restoration area， and potential governance area， with corresponding control measures proposed. |
