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中国沙漠 ›› 2017, Vol. 37 ›› Issue (6): 1250-1260.DOI: 10.7522/j.issn.1000-694X.2016.00123

• 生态与经济 • 上一篇    下一篇

NPP评估过程模型应用研究进展

马良1, 朱再春2, 曾辉1,2   

  1. 1. 北京大学 深圳研究生院 城市规划与设计学院, 广东 深圳 518055;
    2. 北京大学 城市与环境学院 生态学系, 北京 100871
  • 收稿日期:2016-05-18 修回日期:2016-08-26 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 曾辉(E-mail:zengh@pkusz.edu.cn)
  • 作者简介:马良(1991-),男,山东泰安人,硕士研究生,主要从事生态规划方面研究。E-mail:maliang@sz.pku.edu.cn
  • 基金资助:
    国家重大科技专项(2012CB956303)

Research Advance about Application of NPP Process Models in NPP Evaluation

Ma Liang1, Zhu Zaichun2, Zeng Hui1,2   

  1. 1. School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China;
    2. Department of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871
  • Received:2016-05-18 Revised:2016-08-26 Online:2017-11-20 Published:2017-11-20

摘要: NPP评估研究一直是生态学研究的热点,其中NPP过程模型方法获得了较大的发展。首先阐释了过程模型的类别、NPP评估应用环节、实用性差异等问题,并总结了近年来模型建设和模型间比较研究。其次,归纳总结当前利用过程模型开展的NPP评估研究,包括NPP全球变化研究和人类活动因素研究,前者着重介绍了驱动力和尺度研究等问题,后者主要关注快速城镇化过程中NPP的响应和第一产业影响两方面,此外,还总结了中国学者在这一领域的研究进展。第三,提出当前过程模型的主要问题,即模型数据质量偏低、轻视验证、尺度问题模糊不清和人类活动因素相关研究缺乏等。最后,从进一步优化模型构建和拓展应用型研究等几个方面对NPP评估与模型应用和建设进行了展望。

关键词: 净第一性生产力, 过程模型, 全球变化, 人类活动因素

Abstract: NPP research has always been the hotspot of ecology, and the NPP process model methods have made some great progress in recent years. Firstly, this article explains the classification, the evaluation process and differences of these NPP models, and summaries the models building and comparison studies recently. Secondly, the application of NPP process models is discussed separately in the area of global change and human-related factors. In the former area, focuses are about driving forces and the scale effect. And in the 2nd area, it emphasizes the response of NPP during the fast urbanization and the influence on agro-sylvo-pastoral systems. Besides, research advances of Chinese scholars are summarized. Thirdly, the main problems about ecological process models are proposed, which are the low data quality, the neglect of validation, the ambiguousness of scale definition and the lacking of human-related research. Finally, an outlook is given in some perspectives, such as the ease-to-use model building and the development of applied research.

Key words: net primary productivity, process-based model, global change, human-related factors

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