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生态学杂志 ›› 2021, Vol. 40 ›› Issue (6): 1849-1860.doi: 10.13292/j.1000-4890.202106.012

• 综合评述 • 上一篇    下一篇

多尺度碳利用效率研究进展

底阳平1,2,曾辉1,5,张扬建2,3,4*,陈宁6,丛楠2   

  1. (1北京大学深圳研究生院, 广东深圳 518055; 2中国科学院地理科学与资源研究所, 生态系统网络观测与模拟重点实验室, 拉萨高原生态试验站, 北京 100101;3中国科学院青藏高原地球科学卓越创新中心, 北京 100101;4中国科学院大学资源与环境学院, 北京 100190; 5北京大学城市与环境学院, 北京 100871; 6中国科学院湿地生态与环境重点实验室, 中国科学院东北地理与农业生态研究所, 长春 130102)
  • 出版日期:2021-06-10 发布日期:2021-12-10

Research advances in carbon use efficiency  at multiple scales.

DI Yang-ping1,2, ZENG Hui1,5, ZHANG Yang-jian2,3,4*, CHEN Ning6, CONG Nan2#br#   

  1. (1Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, China; 2 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Ecosystem Network Observation and Modeling, Lhasa Station, Beijing 100101, China; 3Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing 100101, China; 4College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; 5College of Urban and Environmental Science, Peking University, Beijing 100871, China; 6Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China).
  • Online:2021-06-10 Published:2021-12-10

摘要: 碳利用效率(carbon use efficiency,CUE)是指机体用于生长的碳量占其吸收总碳量的比例,是研究生态系统碳循环和碳分配模式的重要参数。对CUE的研究可利用多种方法从多尺度开展,然而CUE的高尺度敏感性导致不同方法之间的结果变异性较大,难以整合并且扩展外推,成为制约CUE研究方法及应用的重要因素。本文将CUE常见的测定方法按照研究对象的应用尺度差异分为样地尺度、生态系统尺度、景观和区域尺度以及大陆和全球尺度,概述各方法的特点、优势及局限性。随后,分尺度综述CUE的研究进展,发现CUE受到包括生物和非生物等多种因素的影响,各影响因素及其交互作用在不同时空尺度上控制着CUE,CUE数值也随尺度和测定方法的不同而发生变异。建议今后对CUE的研究应该综合考量生物和环境等多要素交互影响效果,通过机理和技术研究提升数据测定的准确性,以及整合多尺度结果为模型优化提供新思路。

关键词: 碳利用效率(CUE), 测定方法, 多尺度, 多源数据

Abstract: Carbon use efficiency (CUE) is defined as the proportion of carbon (C) received from the environment that is used for growth. As one of the key indicators for the ability of biological carbon sequestration, it is widely implemented in the carbon cycle and process-based models. Research on CUE is carried out by various methods at multiple scales. However, the results of different methods vary greatly because of the scale-dependence of CUE, which makes the results difficult to integrate, becoming a vital factor restricting the research methods and application of CUE. In this review, we classified the common CUE acquisition methods into plot-scale, ecosystem-scale, landscape & regional scale and continental & global scale. We summarized the characteristics, advantages and limitations of each method. The progress of CUE application in research is reviewed at each scale. It is found that CUE is influenced by biotic and abiotic factors, which control CUE at different spatial and temporal scales. Moreover, the value of CUE varies with methods and scales applied in study. In order to deepen the understanding of CUE, future research should comprehensively consider the interactive effects of biological and environmental factors, improve the accuracy of data measurement, and promote model optimization by integrating multi-scale results.

Key words: carbon use efficiency (CUE), acquisition method, multi-scale, multi-source data.