| 西南高山峡谷区植被变化及影响因素分析 |
| 摘要点击 1249 全文点击 343 投稿时间：2022-12-25 修订日期：2023-02-28 |
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| 中文关键词 西南高山峡谷区 归一化植被指数(NDVI) 空间分布格局 地理探测器 影响因素 |
| 英文关键词 southwest alpine canyon area normalized difference vegetation index(NDVI) spatial distribution pattern geographic detector influencing factor |
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| 中文摘要 |
| 西南高山峡谷区是我国典型生态脆弱区，认识其植被变化特征及影响因素可以为西南高山峡谷区生态环境建设对策的制定提供理论依据，对实现区域经济、环境以及生态和谐统一发展，具有一定的现实意义.基于2000~2019年NDVI、社会经济因子和自然因子数据集，采用一元线性回归法、Hurst指数、地理探测器模型和变异系数等方法分析了西南高山峡谷区NDVI时空变化及稳定性特征，并探讨了NDVI空间分异影响因素.结果表明：①空间上看，植被呈现东南高，西北低的分布格局，中高和高植被覆盖的区域面积占比71.71%，植被覆盖总体处于较高水平.时间上看，植被呈现改善趋势的区域面积占比85.90%，恢复效果明显，且未来植被变化趋势还将以改善为主.②高程、植被类型和土壤类型是影响NDVI空间分异的主导因子，q值均不低于0.40；气温和降雨量为次要因子，q值分别为0.274和0.225.双因子交互作用增强了单因子的影响力，表现为双因子增强和非线性增强两种关系，其中高程∩植被类型组合q值最高为0.714，其次是高程∩土壤类型组合q值为0.688.③研究时段内NDVI整体稳定性较好，低波动变化和较低波动变化的区域面积占比为89.95%；而中等以上波动的区域面积占比为10.05%，集中在海拔高、气温低、降雨少、土壤贫瘠和植被较差等生态环境相对脆弱的区域.植被变化是多因素综合作用的结果，需因地制宜，有针对性地采取不同策略修复西南高山峡谷区生态环境. |
| 英文摘要 |
| The southwest alpine canyon area is a typical ecologically fragile area. Understanding the characteristics of vegetation change here and its influencing factors can provide a theoretical basis for formulating countermeasures for ecological environment construction in the southwest alpine canyon area and has practical significance for realizing the harmonious and unified development of the regional economy, environment, and ecology. Based on the data set of NDVI, socio-economic factors, and natural factors from 2000 to 2019, the spatial and temporal variation and stability characteristics of NDVI in the southwest alpine canyon area were analyzed by using the methods of unary linear regression, Hurst index, geographic detector model, and coefficient of variation, and the influencing factors of the spatial differentiation of NDVI were also discussed. The results showed that:① in terms of spatial distribution, the vegetation was high in the southeast and low in the northwest. The area covered by medium and high vegetation accounted for 71.71%, and the vegetation cover was at a relatively high level. From the perspective of time, the area of vegetation showing an improvement trend accounted for 85.90%, and the recovery effect was obvious, and the future vegetation change trend will continue to be improved. ② Elevation, vegetation type, and soil type were the main factors affecting the spatial differentiation of NDVI, and the q value was no less than 0.40. Temperature and rainfall were secondary factors, with q values of 0.274 and 0.225, respectively. The dual-factor interaction enhanced the single factor influence, which was manifested as the dual-factor enhancement and nonlinear enhancement relationship. The highest q value was 0.714 for the combination of altitude ∩ vegetation, followed by 0.688 for the combination of altitude ∩ soil. ③ The overall stability of NDVI during the study period was good, and the proportion of the regional area with low fluctuating changes and slightly low fluctuating changes was 89.95%. The area with moderate fluctuation accounted for 10.05%, concentrated in the relatively fragile ecological environment with factors such as high altitude, low temperature, little rainfall, barren soil, and sparse vegetation. Vegetation change is the result of a combination of multiple factors, so it is necessary to adapt to local conditions and adopt different strategies to restore the ecological environment of the southwest alpine canyon area. |
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