摘要
我国森林生态系统正面临着全球气候变化和人类活动等多重威胁,其结构与功能性状是反映森林生态系统碳固存等功能与状况的关键要素。受观测手段的限制,森林结构和功能性状调控森林生态系统碳循环过程对全球变化的响应与适应机制仍不清晰,影响全球变化下我国森林生态系统固碳能力预测的精度。针对上述科学问题,通过遥感观测系统研发、野外联网观测、数据采集分析、模型构建与情景模拟,在建立森林结构和功能性状数据集、解析其耦合机制对森林生产力调控作用的基础上,优化生态系统模型、预测未来气候变化情境下我国典型森林生态系统的固碳能力。研究结果既能够为我国森林生态系统联网监测与研究提供技术支撑,也能够为制定固碳减排政策提供科学依据。
China’s forest ecosystems are facing multiple threats from global climate change and human activities.Forest structural and functional traits are key indicators of forest ecosystem functioning and condition.Due to the limitations in observation methods,the understanding of how forest structural and functional traits regulate the response and adaptation of forest ecosystems to global change remains unclear,which hinders the accuracy of predicting the carbon sequestration capacity of forests in China under global change.To address these scientific challenges,this paper involves the development of remote sensing observation systems,field observation network,data collection and analysis,model construction,and scenario simulations.Based on the constructed dataset of forest structural and functional traits,and the analysis of the regulatory role of their coupling mechanism on forest productivity,the ecosystem models are optimized and the carbon sequestration capacity of typical forest ecosystems in China under future climate change scenarios is predicted.It can provide technical support for the networked monitoring and research of forest ecosystems in China,as well as scientific basis for formulating carbon sequestration and emission reduction policies.
作者
苏艳军
王松寒
王欣
李艺
洪华龙
牛春跃
SU Yanjun;WANG Songhan;WANG Xin;LI Yi;HONG Hualong;NIU Chunyue(State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,The Chinese Academy of Sciences,Beijing 100093;China National Botanical Garden,Beijing 100093;College of Agriculture,Nanjing Agricultural University,Nanjing 210095;College of the Environment and Ecology,Xiamen University,Xiamen 361102;Coastal and Ocean Management Institute,Xiamen University,Xiamen 361102)
出处
《中国基础科学》
2023年第6期51-56,64,共7页
China Basic Science
基金
国家重点研发计划青年科学家项目(2022YFF0803100)
关键词
森林生态系统
多源遥感观测
结构和功能性状
生态系统模型
全球变化
forest ecosystem
multi-source remote sensing observation
structural and functional traits
ecosystem model
global change
作者简介
通信作者:苏艳军,研究员,ysu@ibcas.ac.cn。
