摘要
为了分析2000—2020年福建省植被恢复力和对气候变化的抵抗力的变化趋势,从多尺度研究植被恢复力的驱动因素及其响应机制。对MOD13Q1产品的增强型植被指数和气候指数建立多元线性回归模型,分析植被恢复力和抵抗力的变化趋势,通过地理探测器和多项逻辑回归模型从多尺度分析不同尺度下气候、地形和道路因素对植被恢复力的影响机制。结果表明:植被恢复力的变化趋势具有明显的空间异质性,增强趋势主要出现在北部地区,植被对降水量的抵抗力整体呈现减弱趋势,对潜在蒸散的抵抗力除北部呈减弱趋势外,其他各区域呈现增强趋势。地理探测器因子探测结果显示在多个尺度上植被恢复力与降水量、气温、地形(海拔和坡度)、不同等级道路核密度、人类活动等因素相关。多项逻辑回归结果表明20 a间气温、降水和坡度对植被恢复的正向影响加强,海拔、人口和国内生产总值对植被退化的正向影响逐渐减弱。2010—2020年,铁路核密度较高的区域对植被恢复的促进作用更弱,国省级道路核密度较高的区域对植被恢复的抑制作用更强。福建省植被整体呈现正向演替,植被对人类活动和地形因素的响应逐渐减弱,气象因素和道路因素对植被的影响更为明显。
This study was conducted to analyze the changing trends of vegetation resilience and climate change resistance in Fujian Province from 2000 to 2020,and to explore the driving factors and response mechanisms of vegetation resilience at multiple scales.An enhanced vegetation index(EVI)derived from MOD13Q1 product was utilized to establish a multivariate linear regression model with climate indices to analyze trends in vegetation resilience and resistance.The impact mechanisms of climate,topography,and road factors on vegetation resilience were analyzed at multiple scales using a geographic detector and multiple logistic regression models.It was found that the changing trend of vegetation resilience exhibited notable spatial heterogeneity,with enhanced trends mainly observed in the northern region.Overall,vegetation resistance to precipitation showed a weakening trend,while resistance to potential evapotranspiration weakened in the northern region but strengthened in other areas.The results of geographic detector factor analysis indicate that vegetation resilience is associated with multiple factors across different scales,including precipitation,temperature,topography(elevation and slope),as well as the kernel density of national,provincial,and township-level roads.Multiple logistic regression results indicate that between 2000 and 2020,the positive impacts of temperature,precipitation,and slope on vegetation recovery have strengthened,while the positive influences of elevation,population,and gross domestic product(GDP)on vegetation degradation have gradually weakened.From 2010 to 2020,regions with higher railway density exhibited a weaker promoting effect on vegetation recovery,while areas with higher provincial-level road density demonstrated a stronger inhibiting effect on vegetation recovery.Overall,vegetation in Fujian Province is undergoing positive succession,with its responsiveness to human activities and topographic factors gradually diminishing.Meteorological and road-related factors are becoming more pro
作者
郭荣朋
丘伟国
贾丁一
林森
巫志龙
胡喜生
GUO Rongpeng;QIU Weiguo;JIA Dingyi;LIN Sen;WU Zhilong;HU Xisheng(College of Transportation and Civil Engineering,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China)
出处
《森林与环境学报》
CSCD
北大核心
2024年第1期1-12,共12页
Journal of Forest and Environment
基金
国家自然科学基金项目“森林覆盖空间位移的格局、过程与机制”(31971639)
福建省自然科学基金项目“基于GEE云平台的福建省海岸带长时间序列生态恢复遥感监测”(2023J01477)。
关键词
植被恢复力
地理探测器
多元线性回归
多项逻辑回归
福建省
气候变化
vegetation resilience
geographical detector
multiple linear regression
multinomial logistic regression
Fujian Province
climate change
