| 基于地理探测器的山西省2000~2020年NPP时空变化特征及驱动力分析 |
| 摘要点击 1992 全文点击 1780 投稿时间：2022-03-01 修订日期：2022-05-06 |
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| 中文关键词 植被净初级生产力(NPP)|时空演变|驱动机制|山西省|煤炭国家规划矿区 |
| 英文关键词 net primary productivity (NPP)|space-time evolution|driving mechanism|Shanxi province|state planned coal-mining areas |
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| 中文摘要 |
| 植被净初级生产力(NPP)可以表征植物生长状况,同时也是碳循环研究中不可或缺的要素.应用2000~2020年MODIS NPP产品和山西省高程、坡度、降水、气温、土地利用和人口密度等多源数据,采用趋势分析、相关性分析和地理探测器等方法,探究了山西省及其煤炭国家规划矿区NPP的时空演变特征和驱动因子,结果表明:① 2000~2020年山西省NPP总体呈现波动上升趋势,平均上升速率(以C计)为6.7g·(m2·a)-1.不同用地类型的NPP总量差异表现为:耕地>林地>草地>建设用地>水域>未利用地;② NPP变化空间异质性明显,山西省西部和北部区域NPP均值较低,而东部和南部区域NPP均值较高;三大煤炭基地NPP相比较,晋东基地>晋中基地>晋北基地;③ NPP和降水相关性较高,全省62.2%的区域降水量与NPP变化呈显著相关(P<0.05),主要分布在山西省中部和东部.NPP变化与气温关系较弱,两者显著相关(P<0.05)的区域仅占1.10%;④应用地理探测器分析结果显示,不同年份各因子的q均值比较:降水(0.165)>土地利用(0.124)>人口密度(0.085)>坡度(0.080)>高程(0.064)>气温(0.024),进一步表明降水是多年来引起NPP变化的主导驱动因子;5双因子交互作用影响力明显高于单因子,且人为因素的影响力在逐步上升,2000~2020年解释力最高的交互因子由降水∩气温(0.385)转变为降水∩人口密度(0.275). |
| 英文摘要 |
| The net primary productivity (NPP) of vegetation, as an indispensable element in carbon cycle studies, characterizes plant growth status. This study applied MODIS NPP products from 2000 to 2020 and multi-source data on elevation, slope, precipitation, temperature, land use, and population density in Shanxi province. We used trend analysis, correlation analysis, and geographic probes to explore the spatial and temporal evolution characteristics and driving factors of NPP in Shanxi province and its national planned coal-mining areas. The results showed that: ① the overall NPP exhibited a fluctuating upward trend from 2000 to 2020, with an average rate of increase (in terms of C) of 6.7 g·(m2·a)-1. The total NPP varied significantly among different land types, with arable land>forest land>grassland>construction land>water area>unused land. ② The spatial heterogeneity of NPP changes was obvious, with lower NPP values in the western and northern regions and higher average NPP values in the eastern and southern regions; the NPP comparison of three major coal bases showed that Jindong coal base>Jinzhong coal base>Jinbei coal base. ③ The correlation between NPP and precipitation was high, with 62.2% of regions having a significant correlation (P<0.05), mainly in central and eastern Shanxi province. The relationship between NPP changes and temperature was weak, with only 1.10% of regions having a significant correlation (P<0.05). ④ The comparison of the q-means of each factor in different years based on geographic probes showed that precipitation (0.165)>land use (0.124)>population density (0.085)>slope (0.080)>elevation (0.064)>air temperature (0.024), further indicating that precipitation was the dominant driver of NPP changes over the years. 5 The influence of the two-factor interaction was significantly higher than that of the single factor, and the influence of anthropogenic factors was gradually increasing. From 2000 to 2020, the interaction factor precipitation∩population density (0.275) with the highest explanatory power replaced precipitation∩temperature (0.385) as the interaction factor precipitation with the highest explanatory power. |
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