2001-2020年秦岭北麓NPP时空格局及驱动因素分析  

Analysis of Spatiotemporal Patterns and Driving Factors of NPP on the Northern Slope of the Qinling Mountains from 2001 to 2020

作　　者：郭昭 师芸[1,2] 刘铁铭 张雨欣 闫永智 GUO Zhao;SHI Yun;LIU Tieming;ZHANG Yuxin;YAN Yongzhi(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,P.R.China;Key Laboratory of Coal Resources Exploration and Comprehensive Utilization,Ministry of Land and Resources,Xi’an 710021,P.R.China;Xi’an Land Improvement and Ecological Restoration Center,Xi’an 710018,P.R.China)

机构地区：[1]西安科技大学测绘科学与技术学院,陕西西安710054 [2]自然资源部煤炭资源勘察与综合利用重点实验室,陕西西安710021 [3]西安市国土整治和生态修复中心,陕西西安710018

出　　处：《生态环境学报》2025年第3期401-410,共10页Ecology and Environmental Sciences

基　　金：国家自然科学基金项目(42174045)。

摘　　要：为探究秦岭北麓植被NPP的分布状况、演变规律及驱动因素,准确评估秦岭北麓植被生产能力,实现区域生态可持续发展,达成碳中和提供参考依据。利用改进CASA模型对秦岭北麓2001-2020年植被NPP进行估算,并利用趋势分析法、相关性分析法以及地理探测器对研究区植被NPP的时空演变特征和驱动因素进行研究。结果表明,秦岭北麓2001-2020年植被NPP呈波动上升的趋势,年均NPP为719.50 g·m^(−2)(以C计,下同),空间分布呈现南高北低的分布格局,季节差异明显,夏季NPP最高,约占全年NPP总量的51.13%;降雨、气温和太阳辐射3种气候因子与植被NPP整体呈现正相关关系,正相关区域占比分别为73.26%、65.81%、87.15%;植被NPP受多种驱动因子共同影响,从单一影响因子来看,气温、海拔以及降水是驱动秦岭北麓NPP变化的主要因子,其q值分别为0.68、0.61、0.56,从双因子交互来看,气温和土地利用类型交互作用下对NPP变化的解释力更强,其q值为0.73,从不同修复单元来看,不同影响因素对不同修复单元内植被NPP驱动力大小并不相同,反应了植被NPP对不同影响因子的响应具有显著的区域差异性和复杂性。研究结果可为秦岭北麓植被监测、生态环境保护提供科学参考。The Qinling Mountains,as an important geographical boundary and key ecological conservation area in China,play a critical role in environmental preservation,species protection,and water conservation,while also significantly contributing to ecosystem carbon sources/sinks and carbon cycling processes.Therefore,conducting long-term,systematic monitoring and scientific evaluation of the spatiotemporal dynamics of vegetation in the Qinling Mountains can not only reveal the patterns of ecological and environmental changes but also provide crucial decision-making support for regional sustainable development strategies.This holds significant practical and scientific value for enhancing ecosystem stability and safeguarding the regional ecological security.Net primary productivity(NPP)refers to the remainder of the organic matter accumulated by plants through photosynthesis after subtracting the organic matter consumed through respiration.NPP not only reflects vegetation productivity but also serves as a crucial factor in determining ecosystem carbon sources and sinks and assessing ecological sustainability.Therefore,under the“dual carbon”strategic goals,investigating the spatiotemporal variations of vegetation NPP and its driving factors is essential for evaluating regional ecosystem quality,carbon sink functions,and guiding ecological conservation and restoration efforts.Currently,research on vegetation in the Qinling Mountains predominantly focuses on the dynamic monitoring of vegetation health using indices such as NDVI and EVI,whereas studies on net primary productivity(NPP)remain relatively limited.When exploring the relationships between vegetation NPP and environmental factors,the selection of driving factors is often restricted,failing to comprehensively reveal the complex mechanisms underlying these interactions.Therefore,systematic studies on vegetation NPP and its driving factors in the Qinling region are crucial to enhance our understanding of the ecological functions of the Qinling Mountains.This study us

关 键 词：植被净初级生产力 时空变化 相关分析 驱动因素 地理探测器 秦岭北麓 

分 类 号：P237[天文地球—摄影测量与遥感] X87[天文地球—测绘科学与技术]