Research Advance about Application of NPP Process Models in NPP Evaluation

Ma Liang; Zhu Zaichun; Zeng Hui

doi:10.7522/j.issn.1000-694X.2016.00123

Journal of Desert Research >

2017 , Vol. 37 >Issue 6: 1250 - 1260

DOI: https://doi.org/10.7522/j.issn.1000-694X.2016.00123

Research Advance about Application of NPP Process Models in NPP Evaluation

Ma Liang ,
Zhu Zaichun ,
Zeng Hui

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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 date: 2016-05-18

Revised date: 2016-08-26

Online published: 2017-11-20

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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

Cite this article

Ma Liang , Zhu Zaichun , Zeng Hui . Research Advance about Application of NPP Process Models in NPP Evaluation[J]. Journal of Desert Research, 2017 , 37(6) : 1250 -1260 . DOI: 10.7522/j.issn.1000-694X.2016.00123

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