The comparing study of net primary production in China

Zhiqiang Gao; Xiaoming Cao; Maosi Chen; Wei Gao

doi:10.1117/12.791581

The comparing study of net primary production in China

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

^*Corresponding author for this work

School of Geographic Sciences

CAS - Institute of Geographical Sciences and Natural Resources Research
East China Normal University
Colorado State University
Chinese Academy of Sciences
University of Chinese Academy of Sciences

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

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.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability V
DOIs	https://doi.org/10.1117/12.791581
State	Published - 2008
Event	Remote Sensing and Modeling of Ecosystems for Sustainability V - San Diego, CA, United States Duration: 13 Aug 2008 → 13 Aug 2008

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7083
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability V
Country/Territory	United States
City	San Diego, CA
Period	13/08/08 → 13/08/08

UN SDGs

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

SDG 13 Climate Action

Keywords

China
Model comparison
Net primary production (NPP)
Temporal and spatial changes

Access to Document

10.1117/12.791581

Cite this

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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",

}

Gao, Z, Cao, X, Chen, M & Gao, W 2008, The comparing study of net primary production in China. in Remote Sensing and Modeling of Ecosystems for Sustainability V., 70830M, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, San Diego, CA, United States, 13/08/08. https://doi.org/10.1117/12.791581

The comparing study of net primary production in China. / Gao, Zhiqiang; Cao, Xiaoming; Chen, Maosi et al.
Remote Sensing and Modeling of Ecosystems for Sustainability V. 2008. 70830M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7083).

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

TY - GEN

T1 - The comparing study of net primary production in China

AU - Gao, Zhiqiang

AU - Cao, Xiaoming

AU - Chen, Maosi

AU - Gao, Wei

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - China

KW - Model comparison

KW - Net primary production (NPP)

KW - Temporal and spatial changes

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DO - 10.1117/12.791581

M3 - 会议稿件

AN - SCOPUS:56249096874

SN - 9780819473035

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

BT - Remote Sensing and Modeling of Ecosystems for Sustainability V

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability V

Y2 - 13 August 2008 through 13 August 2008

ER -

The comparing study of net primary production in China

Abstract

Publication series

Conference

UN SDGs

Keywords

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