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作 者:赵贺 ZHAO He(Harbin Normal University,Harbin 150025,China)
出 处:《安徽农学通报》2025年第6期78-82,共5页Anhui Agricultural Science Bulletin
摘 要:碳储量是生态系统服务功能的重要组成部分之一,其演变趋势及驱动因子的揭示对于维护地区生态系统安全具有重要意义。本研究利用生态系统服务与权衡综合评估(InVEST)模型的碳储量模块对东北地区2000—2020年10年间隔的碳储量进行评价,分析其演变趋势;并使用地理探测器(Geodetector)模型对影响该地区碳储量的驱动因子进行探测与分析。结果表明,2000—2020年,研究区碳储量总体呈下降趋势,降幅0.20%。其中,2000—2010年碳储量减少了0.15%,2010—2020年碳储量减少了0.05%。不同土地利用类型的碳储量存在明显差异,其中林地的碳储量增量最大,达0.14×10^(9)t。2000—2020年,影响研究区碳储量的主导因子为总初级生产力,2000、2010和2020年的单因子探测q值分别为0.562、0.576和0.569。交互探测解释力最强的因子为总初级生产力和年平均气温,2000、2010和2020年两者交互作用的q值分别为0.748、0.756和0.750。研究结果为推进区域生态系统服务功能的提升提供参考。Carbon storage is one of the important components of ecosystem services function,and its evolution trend and driving factors are of great significance for maintaining regional ecosystem security.In this study,the carbon storage module of integrated valuation of ecosystem services and tradeoffs(InVEST)model was used to evaluate the 10-year interval carbon storage in Northeast China from 2000 to 2020,and analyzed its evolution trend,and the driving factors affecting carbon storage were detected by Geodetector.The results showed that,from 2000 to 2020,the carbon storage generally showed a decreasing trend by 0.20%in the survey region.It was decreased by 0.15%in the first decade and 0.05%in the last decade.Over the past 20 years,the carbon storage was significantly different in different land use types.The increment of forest carbon storage was the largest(0.14×10^(9)t).In the past 20 years,the dominant factor affecting carbon storage was gross primary productivity,and the single factor detection q values in 2000,2010 and 2020 were 0.562,0.576 and 0.569,respectively in the survey region.The strongest explanatory power factors were gross primary productivity and annual mean temperature.The q values of their interactions in 2000,2010 and 2020 were 0.748,0.756 and 0.750,respectively.The research results provided a reference for promoting the improvement of regional ecosystem services.
关 键 词:碳储量 InVEST模型 Geodetector模型 生态系统服务功能
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