Shi Kai, Yan Feng, Wang Zong-Chao, Tian Peng-Fei, Liang Yue-Bing, Chen Ya-Heng
College of Land and Resources, Hebei Agricultural University, Baoding 071001, China.
School of Resources and Environmental Sciences, Hebei Agricultural University, Baoding 071001, China.
Huan Jing Ke Xue. 2025 Apr 8;46(4):2337-2351. doi: 10.13227/j.hjkx.202403036.
A clear understanding of the driving mechanisms behind spatial and temporal vegetation dynamics is of great significance in guiding the protection and restoration of ecological environments. The spatial and temporal distribution pattern of fractional vegetation cover (FVC) and its multiple driving mechanisms in Beijing, Tianjin, and Hebei were investigated using long-term NDVI data from 2002 to 2020. A total of 25 specific variables were selected to represent the influencing factors of topography, climate, geotechnical type, and human activities. The selected variables were combined with the methods of metric dichotomies, trend analyses, biased correlation analyses, and optimal parameter geodetectors. The results indicated that: ① The FVC in Beijing, Tianjin, and Hebei over the past 20 years exhibited a general downward trend, with an average decline rate of approximately 0.002 4 per annum. The FVC levels in the northern and southern regions were relatively high, while those in the western and central regions were relatively low. Approximately 28.73% of the areas exhibited a significant decreasing trend (<0.01), with the greatest decline observed in the southern, eastern, and central regions of Beijing, Tianjin, and Hebei. ② The main factors driving the evolution of FVC (>0.15) were identified as natural factors, including evapotranspiration, cumulative precipitation, soil type, topography, and human activities, such as financial income, GDP per capita, nighttime light intensity, and population density. These factors were found to interact with each other. The enhancement effect on FVC was found to be nonlinear, with a bilinear enhancement effect observed when the combination of LST and ET was considered. This was followed by the combination of solar radiation and ET, which demonstrated the highest explanatory power (>0.81). The FVC was highest for the combination of LST and ET (>0.83) and second highest for the combination of solar radiation and ET (>0.81). ③ Evapotranspiration ranged from 572 to 772 mm, cumulative precipitation ranged from 461 to 514 mm, and radiation ranged from 1 980 to 2 030 W·m. When LST was between 5.5 and 12 ℃, average temperature was between -0.902 and 3.74 ℃, altitude was between 1 560 and 2 180 m, terrain type was large undulating middle mountain, soil type was leaching soil, and vegetation type was forest land, with FVC performing the best. The results of this study can assist the regional government in making accurate policy decisions regarding the protection and restoration of the vegetation ecosystem.
清楚了解植被时空动态背后的驱动机制对于指导生态环境保护与恢复具有重要意义。利用2002年至2020年的长期归一化植被指数(NDVI)数据,研究了京津冀地区植被覆盖度(FVC)的时空分布格局及其多种驱动机制。共选取25个特定变量来代表地形、气候、岩土类型和人类活动的影响因素。将所选变量与度量二分法、趋势分析、偏相关分析和最优参数地理探测器方法相结合。结果表明:① 京津冀地区过去20年的FVC总体呈下降趋势,年均下降率约为0.0024。北部和南部地区的FVC水平相对较高,而西部和中部地区相对较低。约28.73%的区域呈现显著下降趋势(<0.01),在北京、天津和河北的南部、东部和中部地区下降最为明显。② 驱动FVC演变(>0.15)的主要因素被确定为自然因素,包括蒸散、累计降水量、土壤类型、地形,以及人类活动,如财政收入、人均GDP、夜间灯光强度和人口密度。发现这些因素相互作用。对FVC的增强作用是非线性的,当考虑地表温度(LST)和蒸散(ET)的组合时观察到双线性增强作用。其次是太阳辐射和ET的组合,其解释力最高(>0.81)。LST和ET组合的FVC最高(>0.83),太阳辐射和ET组合的FVC次之(>0.81)。③ 蒸散量在572至772毫米之间,累计降水量在461至514毫米之间,辐射量在1980至2030瓦·米之间。当地表温度在5.5至12℃之间,平均温度在-0.902至3.74℃之间,海拔在1560至2180米之间,地形类型为大起伏中山,土壤类型为淋溶土,植被类型为林地时,FVC表现最佳。本研究结果可协助区域政府就植被生态系统的保护与恢复做出准确的政策决策。