| 四川省五大经济区植被NPP时空变化及驱动因素分析 |
| 摘要点击 298 全文点击 11 投稿时间：2025-08-11 修订日期：2025-11-05 |
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| 中文关键词 净初级生产力（NPP） 地理探测器 时空分布 驱动力 四川省五大经济区 |
| 英文关键词 net primary productivity （NPP） Geodetector spatiotemporal distribution driving forces five major economic zones of Sichuan Province |
| DOI 10.13227/j.hjkx.202508101 |
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| 中文摘要 |
| 植被净初级生产力（NPP）是衡量生态系统健康和生产力的重要指标，研究NPP变化有助于理解和预测生态系统和气候变化. 基于MODIS NPP数据，结合气象、地形与社会经济数据，采用地理探测器、Sen+Mann-Kendall趋势检验、变异系数法及相关性分析法，对四川省及省内五大经济区2001~2020年植被NPP时空变化及驱动因素进行探索. 结果表明：①四川省20 a间植被NPP（以C计，下同）年均值为504.53 g·（m2·a）-1，空间上表现为“东高西低，南高北低”的分布特征，变化趋势为极显著上升，川内84.88%地区NPP呈上升趋势，其中川南经济区NPP增速最高，年均达到9.148 g·（m2·a）-1，显著增加面积占比达到87.22%. ② 地理探测器分析结果显示， 主导四川省NPP空间分异的因素为DEM、温度与潜在蒸散发等，自然地理因子影响强于人为活动因素影响，成都平原经济区与川南经济区人为因素对NPP空间分异具较高解释度. ③交互探测显示，双因子交互呈现双因子增强和非线性增强，主导四川省植被NPP空间分异因素为温度∩相对湿度，气象因子与其他因子交互对NPP空间分异解释度提升显著. ④NPP与气象因子相关性均以正相关为主，人口密度重心始终位于资阳市附近，整体呈现逐年向西，GDP重心则在资阳市与内江市之间波动，长期保持在川中地区，四川省东部、西部不同气象因子对NPP的影响存在显著差异，人类活动对NPP主要起到促进作用. |
| 英文摘要 |
| Vegetation net primary productivity （NPP） serves as an essential indicator of ecosystem health and productivity. Investigating changes in NPP is crucial for understanding and predicting ecosystem and climate dynamics. This study investigates the spatiotemporal variation and driving factors of vegetation NPP in Sichuan Province and its five major economic zones from 2001 to 2020. This study used MODIS NPP data together with meteorological， topographic， and socio-economic datasets. Methods applied include Geodetector， Sen's slope estimator with Mann-Kendall trend test， coefficient of variation， and correlation analysis. Key findings are as follows： ① The multi-year average vegetation NPP in Sichuan Province was 504.53 g·（m2·a）-1， exhibiting a spatial distribution pattern of "higher in the east and south， lower in the west and north." Approximately 84.88% of the province showed an increasing NPP trend， with a highly significant overall upward trend. The Southern Sichuan Economic Zone recorded the highest NPP growth rate， reaching 9.148 g·（m2·a）-1， with 87.22% of its area showing significant increases. ② The results from the Geodetector analysis indicated that DEM， temperature， and potential evapotranspiration were the dominant factors driving the spatial differentiation of NPP in Sichuan Province. Natural geographic factors exerted a stronger influence than human activities， while in the Chengdu Plain and Southern Sichuan economic zones， anthropogenic factors showed higher explanatory power for NPP variation. ③ Interaction detection results showed that the interactions between paired factors exhibited either bi-factor enhancement or nonlinear enhancement. The dominant interaction influencing the spatial differentiation of vegetation NPP in Sichuan Province was the combination of temperature ∩ relative humidity. The explanatory power of meteorological factors significantly increased when interacting with other factors， indicating their crucial role in shaping NPP spatial variation. ④ The correlations between NPP and meteorological factors were predominantly positive. The population density centroid consistently remained near Ziyang City， showing a gradual westward shift over time， while the GDP centroid fluctuated between Ziyang and Neijiang， remaining in the central Sichuan Region in the long term. Significant differences were observed in the impacts of meteorological factors on NPP between the eastern and western parts of Sichuan Province， and human activities primarily played a promoting role in influencing NPP. |
