The analysis of net primary productivity in China based on GEOLUE model

Zhiqiang Gao; Wei Gao; Cao Xiaoming; Maosi Chen

doi:10.1117/12.928296

The analysis of net primary productivity in China based on GEOLUE model

Zhiqiang Gao^*
, Wei Gao
, Cao Xiaoming
, Maosi Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability IX
DOIs	https://doi.org/10.1117/12.928296
State	Published - 2012
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability IX - San Diego, CA, United States Duration: 16 Aug 2012 → 16 Aug 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8513
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability IX
Country/Territory	United States
City	San Diego, CA
Period	16/08/12 → 16/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

China
Model of Light Use Efficiency
Net Primary Product (NPP)
Simulation

Access to Document

10.1117/12.928296

Cite this

@inproceedings{117a8cdaa7af4692b9927d500c790b56,

title = "The analysis of net primary productivity in China based on GEOLUE model",

abstract = "GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67\% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.",

keywords = "China, Model of Light Use Efficiency, Net Primary Product (NPP), Simulation",

author = "Zhiqiang Gao and Wei Gao and Cao Xiaoming and Maosi Chen",

year = "2012",

doi = "10.1117/12.928296",

language = "英语",

isbn = "9780819492302",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability IX",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability IX ; Conference date: 16-08-2012 Through 16-08-2012",

}

Gao, Z, Gao, W, Xiaoming, C & Chen, M 2012, The analysis of net primary productivity in China based on GEOLUE model. in Remote Sensing and Modeling of Ecosystems for Sustainability IX., 85130R, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, San Diego, CA, United States, 16/08/12. https://doi.org/10.1117/12.928296

The analysis of net primary productivity in China based on GEOLUE model. / Gao, Zhiqiang; Gao, Wei; Xiaoming, Cao et al.
Remote Sensing and Modeling of Ecosystems for Sustainability IX. 2012. 85130R (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8513).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The analysis of net primary productivity in China based on GEOLUE model

AU - Gao, Zhiqiang

AU - Gao, Wei

AU - Xiaoming, Cao

AU - Chen, Maosi

PY - 2012

Y1 - 2012

N2 - GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.

AB - GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.

KW - China

KW - Model of Light Use Efficiency

KW - Net Primary Product (NPP)

KW - Simulation

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DO - 10.1117/12.928296

M3 - 会议稿件

AN - SCOPUS:84872538724

SN - 9780819492302

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability IX

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability IX

Y2 - 16 August 2012 through 16 August 2012

ER -

The analysis of net primary productivity in China based on GEOLUE model

Abstract

Publication series

Conference

UN SDGs

Keywords

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