@inproceedings{02642cd85eb741cfb574e9254cb3e8cf,
title = "The comparing study of net primary production in China",
abstract = "Spatial and temporal distribution of vegetation net primary production (NPP) in China was studied using three light-use efficiency models (CASA, GLOPEM and GEOLUE) and two mechanistic ecological process models (CEVSA GEOPRO). Based on spatial and temporal analysis (e.g. monthly, seasonally and annually) of simulated results from ecological process mechanism models of CASA, GLOPEM, and CEVSA, the following conclusions could be made: (1) during the last 20 years, NPP change in China is followed closely by the seasonal change of climate affected by the monsoon with an overall trend of increasing. (2) Average annual NPP in China was 2.864±1GtC. All five models were able to simulate spatial features of biomass for different ecological types in China. This paper provides a baseline for China's total biomass production. It also offers a means of estimating the NPP change due to afforestation, reforestation, conservation and other human activities and could aid people in using for-mentioned carbon sinks to fulfill China's commitment of reducing greenhouse gases.",
keywords = "China, Model comparison, Net primary production (NPP), Temporal and spatial changes",
author = "Zhiqiang Gao and Xiaoming Cao and Maosi Chen and Wei Gao",
year = "2008",
doi = "10.1117/12.791581",
language = "英语",
isbn = "9780819473035",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability V",
note = "Remote Sensing and Modeling of Ecosystems for Sustainability V ; Conference date: 13-08-2008 Through 13-08-2008",
}
