地理学报 ›› 2017, Vol. 72 ›› Issue (7): 1139-1150.doi: 10.11821/dlxb201707001

所属专题: 气候变化与地表过程

• •    下一篇

农业物候动态对地表生物物理过程及气候的反馈研究进展

刘凤山1,2, 陈莹2, 史文娇1,3, 张帅1,3, 陶福禄1,3, 葛全胜1,3   

  1. 1. 中国科学院地理科学与资源研究所 中国科学院陆地表层格局与模拟重点实验室,北京 100101
    2. 福建农林大学 国家菌草工程技术研究中心,福州 350002
    3. 中国科学院大学资源与环境学院,北京 100049)
  • 收稿日期:2016-12-15 修回日期:2017-03-24 出版日期:2017-08-07 发布日期:2017-08-08
  • 作者简介:

    作者简介:刘凤山(1986-), 男, 山东潍坊人, 博士, 助理研究员, 研究领域为生态治理和农业气象学。E-mai: liufs.11b@igsnrr.ac.cn

  • 基金资助:
    中国博士后科学基金项目(2016M601115)国家自然科学基金项目(41571088, 41371002)

Influences of agricultural phenology dynamics on land surface biophysical processes and climate feedback: A review

Fengshan LIU1,2, Ying CHEN2, Wenjiao SHI1,3, Shuai ZHANG1,3, Fulu TAO1,3, Quansheng GE1,3   

  1. 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. Fujian Agriculture and Forestry University, Fuzhou 350002, China
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-12-15 Revised:2017-03-24 Online:2017-08-07 Published:2017-08-08
  • Supported by:
    China Postdoctoral Science Foundation, No.2016M601115National Natural Science Foundation of China, No.41571088, No.41371002]

摘要:

地表过程对全球变化的响应和反馈是地球系统科学研究的核心课题之一,目前的研究多关注全球变化对地表过程的影响,而地表动态过程对地表生物物理过程及气候的反馈研究较少。系统认识地表物候动态对生物物理过程及气候的反馈对深化地球系统科学研究有着重要的意义。本文从农业物候动态的事实、农业物候动态在陆面过程模型中的参数化表达、农业物候动态对地表生物物理过程及气候的反馈等方面进行综述,发现在气候变化和管理措施影响下,以种植期和灌浆期为代表的农业物候期发生了显著的规律性变化;耦合农业物候动态,改善了模型对地表动态过程、生物物理过程和大气过程的数字化表达;农业物候变化对地表净辐射、潜热、感热、反照率和气温、降水、环流等过程产生了影响,并表现出以地表能量分配为主的气候反馈机理。针对农业物候动态对地表生物物理过程及气候效应的时空重要性,需要继续开展以下方面的工作:① 加强全球变化对地表物候动态的影响及其反馈的综合研究;② 不同光谱波段地表反射率与农业物候动态的关系研究;③ 农业物候动态引起的作物生理学特征变化在地表生物物理过程中的贡献;④ 重视不同气候区物候动态对气候反馈效应的差异。

关键词: 农业物候, 地表生物物理过程, 陆面过程模型, 气候反馈

Abstract:

The response and feedback of land surface processes to climate change constitute a research priority in the field of geosciences. Previous studies have focused on the impacts of global climate change on land surface processes; however, the feedback of land surface processes to climate change remains unknown. It has become increasingly meaningful under the framework of Earth system science to understand systematically the relationships between agricultural phenology dynamics and biophysical processes, as well as their feedback to climate change. This study summarized research progress in this field, including agricultural phenology change, parameterization of phenology dynamics in land surface process models, and the influence of agricultural phenology dynamics on biophysical processes, as well as its feedback to climate. The results showed that the agricultural phenophase, represented by paramount phenological phases such as sowing, flowering, and maturity, has shifted significantly because of the impacts of climate change and agronomic management. Digital expressions of dynamic land surface processes, as well as biophysical and atmospheric processes, have been improved by coupling phenology dynamics in land surface models. Agricultural phenology dynamics influence net radiation, latent heat, sensible heat, the albedo, temperature, precipitation, and circulation, thus, play an important role in surface energy partitioning and climate feedback. Considering the importance of agricultural phenology dynamics in land surface biophysical processes and climate feedback, the following research priorities have been identified: (1) interactions between climate change and land surface phenology dynamics, (2) relationships between agricultural phenology dynamics and different land surface reflectivity spectra, (3) contributions of changes in crop physiological characteristics to land surface biophysical processes, and (4) regional differences of climate feedback from phenology dynamics in different climatic zones. This review will be helpful in accelerating the understanding of the role of agricultural phenology dynamics in land surface processes and climate feedback.

Key words: agricultural phenology, land surface biophysical processes, land surface process model, climate feedback