模拟增温对植物叶片δ^(13)C值的影响:全球Meta分析  

Effects of simulated warming on foliarδ^(13)C:a global Meta-analysis

作　　者：张莉莉 叶志成 廖凯华[1,2] 朱青 赖晓明[1,2] 郭长强 ZHANG Lili;YE Zhicheng;LIAO Kaihua;ZHU Qing;LAI Xiaoming;GUO Changqiang(Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China;College of Nanjing,University of Chinese Academy of Sciences,Nanjing 211135,China;Poyang Lake Wetland Research Station,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Jiujiang 332899,China)

机构地区：[1]中国科学院南京地理与湖泊研究所,中国科学院流域地理学重点实验室,南京210008 [2]中国科学院大学南京学院,南京211135 [3]中国科学院南京地理与湖泊研究所鄱阳湖湖泊湿地综合研究站,九江332899

出　　处：《生态学报》2024年第12期5412-5421,共10页Acta Ecologica Sinica

基　　金：国家自然科学基金面上项目(42171077);江苏省碳达峰碳中和科技创新专项资金项目(BK20220042);中国科学院青年创新促进会基金(2020317)

摘　　要：温室气体大量排放导致的全球变暖是最为关注的环境问题之一,这会直接影响植物的生长与发育进而影响群落组成乃至生态系统的结构和功能。水分利用效率作为植物叶片通过光合作用调节水分生理过程的指标,是联系生态系统碳循环与水循环关系的关键,反映了植被生态系统对立地环境快速调整和资源变化的适应策略,是当前全球变化研究中的重点。植物叶片碳稳定同位素比值(δ^(13)C)是反映植物长期水分利用效率的关键指标,但全球气候变暖对植物叶片δ^(13)C值的影响仍存在较大争议。该研究利用Meta分析整合全球范围内51份相关研究文献中的371组数据,较为系统地评估模拟增温对植物叶片δ^(13)C及其生理生态指标的影响。结果表明,模拟增温能够使叶片δ^(13)C值显著升高0.6%(P<0.001),同时对叶片呼吸速率R_(d)、气孔导度G_(s)、净光合作用速率P_(n)、碳C的效应值分别为0.237、0.062、-0.140、-0.019 (P<0.05)。模拟增温处理在增强植物光合作用的同时提高了叶片呼吸速率(R_(d)),导致光合产物不断被消耗、叶片碳(C)降低,最终使叶片P_(n)降低并且叶片δ^(13)C产生富集现象。通过进一步对影响因素分析发现,叶片δ^(13)C值对增温的响应主要受增温时间、高程和年均气温等控制(相对重要性指数分别为1.00、0.97和0.92)。另外,模拟增温时选用不同的增温模式对叶片δ^(13)C值也具有显著不同的影响,采用红外线加热、土柱置换和电缆增温等方法对叶片δ^(13)C值具有正向促进作用(效应值分别为0.70、0.44和0.35),而采用遮阳屏与开顶箱增温等方法具有负向作用(效应值分别为-0.17和-0.09)。研究结论对于深入理解全球变化背景下植物水分利用的响应特征具有重要的理论意义,以期为今后该领域的植物生长研究提供理论依据和有效支撑。Global warming caused by massive greenhouse gas emissions is one of the most concerned environmental problems,which will directly affect the growth and development of plants,and then affect the community composition and even the structure ecosystem.Water use efficiency,as an important indicator of plant foliar regulation of water physiological process in virtue of photosynthesis,is the key to the relationship between carbon and water cycle of ecosystem,reflecting the adaptation strategies of vegetation ecosystem to the rapid adjustment of environment and the change of resources,and also is the focus of current global change research.Foliarδ^(13)C can be used as a key indicator to reflect long-term water use efficiency of plant,but the effect of global warming on foliarδ^(13)C value is still controversial.Due to the obvious limitations of previous point-scale studies,the global meta-analysis was used to integrate 371 groups of data from 51 literature worldwide to evaluate the effects of the simulated warming treatment on the foliarδ^(13)C value systematically in this study.The results showed that the simulated warming treatment could significantly increase the foliarδ^(13) C by 0.6%(P<0.001)comparing with the conventional treatment group,and the effect sizes of foliar respiration rate(R_(d)),stomatal conductivity(G_(s)),net photosynthesis rate(P_(n))and carbon(C)were 0.237,0.062,-0.140,and-0.019(P<0.05),respectively.The simulated warming treatment enhanced photosynthesis and increased foliar respiration rate(R_(d)),which led to the continuous consumption of photosynthetic products and the decrease of foliar carbon(C),and finally the decrease of foliar P_(n) and the enrichment ofδ^(13)C.Through further analysis of the affecting factors,it was found that the response of foliarδ^(13)C to the simulated warming treatment was mainly controlled by warming duration,elevation and average annual temperature(relative importance index was 1.00,0.97 and 0.92,respectively).In addition,different warming patterns had signif

关 键 词：模拟增温 叶片δ^(13)C META分析 气孔导度 呼吸速率 植物水分利用效率 

分 类 号：Q948[生物学—植物学] X16[环境科学与工程—环境科学]