Advances in terrestrial net primary productivity (NPP) estimation models

Abstract

Abstract: Net primary productivity (NPP) estimation is an important study field of global change and terrestrial ecosystems (GCTE).Climate-productivity relationship models,eco-physiological processing models and light utilization efficiency models are the three main kinds of models for terrestrial NPP estimation.The achievements and problems of these models were reviewed comprehensively and systematically,and a strong development trend of NPP estimation was presented in this paper.Present research on the terrestrial NPP estimation mainly focus on the eco-physiological process models,and the regional scaling is the key problem of their application.Light utilization efficiency models based on remote sensing are an absolutely new method for NPP estimation in recent years.Remote sensing information can be used in a relatively simple modeling framework to estimate global NPP of terrestrial vegetation from direct satellite observations.However,their fundamental understanding of ecological process is not clear.Substantial studies showed that remote sensing applications,coupled with the eco-physiological process models,would be a major developing field in the estimation of terrestrial NPP.It can enhance our ability to model the spatial pattern and dynamics of NPP at both regional and global scales.

Key words: Glyphosate, Brachionus calyciflorus, Life history characteristics

CLC Number:

S718

ZHU Wenquan, CHEN Yunhao, XU Dan, LI Jing . Advances in terrestrial net primary productivity (NPP) estimation models[J]. cje, 2005, (3): 296-300.

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