基于集成生物圈模型的黄河流域植被演变及碳收支研究OACHSSCD
Research on vegetation evolution and carbon budget in the Yellow River Basin based on the Integrated Biosphere Simulator model
黄河流域是我国重要的生态屏障和经济地带,深入开展植被演变与碳收支研究对于构建流域碳补偿机制、提升区域系统调控能力具有重要意义.通过改进集成生物圈模型(IBIS)构建黄河流域植被动态模型,模拟了 2000-2023年植被演变与碳收支过程,分析了其时空分布特征及与降水、年均温和高程因子的相关关系.结果表明:(1)通过采用子流域单元模拟、叶片生长模拟优化和物候参数本地化,提升了模型的区域适应性和模拟精度,使得拟合决定系数R2>0.8的计算单元占比达77%;(2)从时间变化看,2000-2023年黄河流域GPP、NPP和NEP年均增长量分别为6.4、4.7 g C m-2 a-1和4.3 g C m-2 a-1,植被质量持续改善;碳收支变化在月尺度上呈现季节性特征,5-10月为碳汇期,11月至次年4月为碳源期,8月净碳汇高峰达36 g C/m2.(3)从空间分布看,黄河流域整体处于碳汇状态,年均碳吸收为129.82 g C m-2 a-1,年均碳汇量达103.31 Mg C a-1,碳收支呈东南高西北低的空间格局;生态地理分区碳收支分析显示,碳源区域集中在西北干旱区,碳汇增长较快区域主要为中低海拔半湿润半干旱地区;(4)降水是影响碳收支空间分布的主导因素,温度对植被呼吸的促进作用强于降水,NEP对降水变化的敏感性低于GPP和NPP.总体来看,改进后的IBIS模型较好地反映了黄河流域的碳收支实际特征,研究可为黄河生态保护及"双碳"目标战略提供科学支撑.
The Yellow River Basin served as a critical ecological barrier and economic corridor in China,characterized by complex topography,pronounced climatic variability,and intensive human-environment interactions,which resulted in significant spatial heterogeneity of ecosystem structure and function.In the context of implementing China's national strategy for ecological protection and high-quality development of the Yellow River Basin,a comprehensive understanding of vegetation dynamics and carbon cycling became essential for developing effective carbon offset mechanisms and enhancing regional ecosystem management capacity.Given the challenges in accurately simulating vegetation dynamics under the Yellow River Basin's complex terrain and diverse climatic conditions,this study developed an enhanced Integrated Biosphere Simulator(IBIS)adapted to the regional ecological characteristics.Based on the improved model,we systematically simulated vegetation evolution and carbon budget dynamics during 2000 to 2023,and examined their spatiotemporal patterns and relationships with hydroclimatic and topographic factors.Key findings included:(1)Model enhancements through sub-basin unit simulation,optimized leaf growth algorithms,and localized phenological parameterization significantly improved regional applicability,the improved IBIS model produced results closely aligned with multi-year observations from various flux stations and demonstrated strong consistency with remote sensing data(77%of computational units achieved R2>0.8).(2)Temporally,Gross Primary Productivity(GPP),Net Primary Productivity(NPP),and Net Ecosystem Productivity(NEP)demonstrated mean annual increments of 6.4,4.7,and 4.3 g C m-2 a-1,respectively,indicating sustained vegetation improvement.Carbon dynamics exhibited pronounced monthly seasonality,functioning as a net sink during May—October and source during November—April,with peak net carbon sequestration(36 g C/m2)occurring in August.(3)Spatially,the basin operated as a net carbon sink with a mean annual uptake of 129.82 g C m-2 a-1 and total sequestration of 103.31 Mg C/a.Carbon budget exhibited a southeast-to-northwest decreasing gradient,with carbon source areas concentrated in arid northwestern regions,while mid-to-low elevation semi-humid and semi-arid zones demonstrated the most rapid carbon sink enhancement.(4)Precipitation emerged as a dominant control on carbon budget spatial patterns.Temperature demonstrated stronger enhancement of ecosystem respiration relative to precipitation,while NEP exhibited lower precipitation sensitivity compared to GPP and NPP.Overall,the improved IBIS model effectively captured the actual carbon budget characteristics of the Yellow River Basin ecosystem,providing robust scientific support for strategic regional ecological conservation and restoration efforts and for achieving China's dual carbon goals.
赵津;王坤;周祖昊;严登华;刘佳嘉;王佳琦
首都师范大学资源环境与旅游学院,北京 100048||中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院流域水循环与水安全全国重点实验室,北京 100038
集成生物圈模型(IBIS)黄河流域碳收支动态植被模型生态地理分区子流域单元模拟
Integrated Biosphere Simulator model(IBIS)Yellow River Basincarbon budgetDGVMeco-geographic zoningsub-basin unit simulation
《生态学报》 2026 (7)
3532-3545,14
国家自然科学基金黄河水科学研究联合基金项目(U2243601)国家重点研发计划项目(2024YFF1306300,2022YFO3201700)水利部重大科技项目(SKR-2022056)
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