太行山-燕山地区是京津冀重要的生态屏障区,其生态修复与保护的有效性对华北地区生态安全格局具有重要意义。基于2000年至2021年的FVC数据,残差分析,使用参数最优地理检测器技术(OPGD)和多尺度地理加权回归分析(MGWR)来阐明TYR中FVC演化的多元驱动机制。结果表明:(1)TYR的FVC变化呈缓慢波动上升趋势,平均增长率为0.02/10a,和“西北高,东南低”的空间格局;在22年期间,超过一半的FVC增加。(2)残差分析结果表明,温度和沉淀对FVC的影响非常有限,相当比例(80.80%和76.78%)的改良和退化地区受到其他因素的影响。(3)OPGD结果表明,蒸散量是影响FVC空间分异的主要因素,表面温度,土地利用类型,夜间光线强度,土壤类型,和植被类型(q>0.2);双因素交互作用的解释率大于单因素交互作用的解释率,它显示了非线性增强或双因子增强,其中,蒸散量与平均空气和地表温度的相互作用对FVC的时空演变影响最大(q=0.75)。表面温度在4.98和10.4°C之间,蒸散量在638和762mm/a之间,夜间光线在1.96至7.78lm/m2之间有利于增加植被覆盖,在测压土壤上发育的植被更倾向于高覆盖。(4)各变量与FVC的相关性表现不同,GDP,高程,大部分地区斜率与FVC呈显著正相关,虽然人口规模,城市人口比例,第一产业和第二产业的GDP比重,夜间光照强度均与FVC呈不同程度的负相关。研究结果可为制定区域环境保护与恢复政策提供数据。
The Taihangshan-Yanshan region (TYR) is an important ecological barrier area for Beijing-Tianjin-Hebei, and the effectiveness of its ecological restoration and protection is of great significance to the ecological security pattern of North China. Based on the
FVC data from 2000 to 2021, residual analysis, parametric optimal geodetector technique (OPGD) and multi-scale geographically weighted regression analysis (MGWR) were used to clarify the the multivariate driving mechanism of the evolution of FVC in the TYR. Results show that: (1)
FVC changes in the TYR show a slowly fluctuating upward trend, with an average growth rate of 0.02/10a, and a spatial pattern of \"high in the northwest and low in the southeast\"; more than half of the
FVC increased during the 22-year period. (2) The results of residual analysis showed that the effects of temperature and precipitation on FVC were very limited, and a considerable proportion (80.80% and 76.78%) of the improved and degraded areas were influenced by other factors. (3) The results of OPGD showed that the main influencing factors of the spatial differentiation of
FVC included evapotranspiration, surface temperature, land use type, nighttime light intensity, soil type, and vegetation type (q > 0.2); The explanatory rates of the two-factor interactions were greater than those of the single factor, which showed either nonlinear enhancement or bifactorial enhancement, among which, the interaction of evapotranspiration with mean air and surface temperature has the strongest effect on the spatial and temporal evolution of FVC (q = 0.75). Surface temperature between 4.98 and 10.4 °C, evapotranspiration between 638 and 762 mm/a, and nighttime light between 1.96 and 7.78 lm/m2 favoured an increase in vegetation cover, and vegetation developed on lysimetric soils was more inclined to be of high cover. (4) The correlation between each variable and FVC showed different performance, GDP, elevation, slope and
FVC showed significant positive correlation in most regions, while population size, urban population proportion, GDP proportion of primary and secondary industries, and nighttime light intensity all showed negative correlation with FVC to different degrees. The results can provide data for formulating regional environmental protection and restoration policies.