| 湖北省植被净初级生产力时空分异格局及多元驱动力定量解析 |
| 摘要点击 218 全文点击 13 投稿时间：2024-05-16 修订日期：2024-07-01 |
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| 中文关键词 植被净初级生产力（NPP） 时空演替 参数最优地理探测器技术（OPGD） 人类活动 湖北省 |
| 英文关键词 net primary productivity of vegetation（NPP） spatial and temporal succession optimal parameters-based geographical detectors（OPGD） human activities Hubei Province |
| 作者 | 单位 | E-mail | | 周治刚 | 长江岩土工程有限公司, 武汉 430010
水资源工程与调度全国重点实验室, 武汉 430010 | 331938127@qq.com | | 丁晔 | 长江岩土工程有限公司, 武汉 430010
水资源工程与调度全国重点实验室, 武汉 430010 | | | 王敏丽 | 河北农业大学国土资源学院, 保定 071000 | | | 张慧聪 | 河北农业大学国土资源学院, 保定 071000 | | | 田仕雨 | 河北农业大学国土资源学院, 保定 071000 | | | 黄帆 | 长江岩土工程有限公司, 武汉 430010
水资源工程与调度全国重点实验室, 武汉 430010 | | | 闫丰 | 河北农业大学国土资源学院, 保定 071000 | yanfeng@hebau.edu.cn |
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| 中文摘要 |
| 湖北省是长江流域的重要省份,探究其植被净初级生产力（NPP）时空格局及驱动机制对整个长江流域的生态安全具有重要意义.基于GEE平台获取2002~2020年MOD17A3HGF.061植被NPP数据集,采用Sen趋势+MK检验、变异系数和Hurst指数等方法分析了湖北省植被NPP的时空演替规律,进而基于参数最优地理探测器技术（OPGD）厘清了NPP时空分异的多元驱动机制.结果表明：①2002~2020年间,湖北省植被NPP呈现上升趋势,速率为2.423 8 g·m-2·a-1,空间上西高东低；植被NPP以低波动为主（变异系数<0.1的占比约79%）,以增加趋势为主（Slope>0的占比约89%）,未来变化以弱反向持续性为主（0.2<Hurst指数<0.5的占比约62%）.②影响湖北省植被NPP变化的主要因素为第二产GDP、第三产GDP、高新企业数量和高程（q值大于0.5）；双因子交互作用均表现为双因子增强或非线性增强,而蒸散发量∩第二产GDP的解释力最高,达0.74.③除坡向、植被类型、岩石类型、土壤类型和土地利用类型等类型变量指标外,第二产GDP、第三产GDP、高程和蒸散发量等其他因素对湖北省植被NPP的影响大都呈现显著性差异.经济因素如第一产GDP在（103万元,116万元）区间时,NPP均值最大（733.886 7 g·m-2·a-1）,NPP随其增加呈现减少趋势,而自然因素如高程在（1.16e+03m,2.71e+03m）区间时,NPP的均值最大（686.459 9 g·m-2·a-1）.④坡向与植被类型、累计降水与土地利用类型和第三产GDP与高新企业数量等大部分两两影响因子之间对湖北省植被的NPP影响具有显著性差异,表明因子在影响植被NPP方面具有不同的作用机制.研究结论为湖北省及长江流域植被生态保护与修复政策的制定提供数据支撑. |
| 英文摘要 |
| The health and stability of vegetation ecosystems in Hubei Province are important to the ecological security of the entire Yangtze River Basin. The spatio-temporal succession pattern of vegetation net primary productivity （NPP） in Hubei Province was analyzed by using the Sen trend+MK test, based on the Google earth engine （GEE） platform to obtain the MOD17A3HGF.061 vegetation NPP dataset from 2002 to 2020. The coefficient of variation and the Hurst index were then employed to elucidate the multiple driving mechanisms of NPP spatio-temporal differentiation. This was achieved through the use of optimal parameters-based geographical detectors （OPGD）, which were employed to clarify the multiple driving mechanisms of spatial and temporal variability of NPP. The results showed that： ① Between 2002 and 2020, vegetation NPP in Hubei Province showed an increasing trend with a rate of 2.423 8 g·m-2·a-1, spatially higher in the west and lower in the east； vegetation NPP was dominated by low volatility （about 79% of the total）, the trend of change was dominated by increase （about 89% of the total）, and future change was dominated by weak inverse persistence （about 62% of the total）. ② The main factors affecting the change in vegetation NPP in Hubei Province were secondary GDP, tertiary GDP, the number of high-tech enterprises, and elevation （all q-values were greater than 0.5）； the two-factor interactions all showed either a two-factor enhancement or a nonlinear enhancement, whereas evapotranspiration ∩ secondary GDP had the highest explanatory power of 0.74. ③ Except for the indicators of type variables, such as slope direction, vegetation type, rock type, soil type, and land use type, most of the other factors showed significant differences in their effects on vegetation NPP in Hubei Province. Economic factors, such as first production GDP in the interval of （1.03 million yuan, 1.16 million yuan）, the mean value of NPP in Hubei Province was the largest at 733.886 7 g·m-2·a-1, and the NPP showed a decreasing trend with the increase in these factors. For natural factors, such as elevation in the largest interval measured, in the interval of （1.16e+03 m, 2.71e+03 m）, the mean value of NPP in Hubei Province was the largest at 686.4599 g·m-2·a-1, and then the opposite trend was observed. ④ Most of the influencing factors were significantly different from each other on the NPP of vegetation in Hubei Province, indicating that these factors had different mechanisms of action in influencing the NPP of vegetation. The results of the study can provide a data basis for the formulation of policies on ecological protection and restoration of vegetation in Hubei Province and the Yangtze River Basin. |
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