Using the vegetation-solar radiation (VSr) model to estimate the short-term gross primary production (GPP) of vegetation in Jinghe county, XinJiang, China

被引：6

作者：

Ren, Yan ^{[1
,2
]}

Zhang, Fei ^{[1
,2
,3
]}

Kung, Hsiang-Te ^{[4
]}

Johnson, Verner Carl ^{[5
]}

Wang, Juan ^{[1
,2
]}

Zhang, Yue ^{[1
,2
]}

Yu, Haiyang ^{[1
,2
]}

Yushanjiang, Ayinuer ^{[1
,2
]}

机构：

[1] Xinjiang Univ, Resources & Environm Dept, Urumqi 830046, Peoples R China

[2] Xinjiang Univ, Minist Educ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China

[3] Key Lab Xinjiang Wisdom City & Environm Modeling, Urumqi 830046, Peoples R China

[4] Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA

[5] Colorado Mesa Univ, Dept Phys & Environm Sci, Grand Junction, CO 81501 USA

来源：

ECOLOGICAL ENGINEERING | 2017年 / 107卷

关键词：

Gross primary production; Solar radiation; Remote sensing; Enhanced vegetation index;

D O I：

10.1016/j.ecoleng.2017.07.029

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Gross Primary Production (GPP) is the sum of ecosystem photosynthetic production and is an important variable in the study of the carbon cycle. Remote sensing methods were used to calculate GPP and compare the GPP of different regions with various land cover types (LCTs). We used a remote sensing-based vegetation-solar radiation (VSr) GPP estimation model to simulate changes in short-term GPP where vegetation ecosystem measurements are lacking. The study was conducted in 2011 at a typical arid and semi-arid oasis site in Jinghe County, Xinjiang, North China. The VSr model was appraised using 254 global radiation and MODIS GPP data points, including 84 grassland vegetation points (GP), 86 forest vegetation points (FP), and 84 cultivated land vegetation points (CP). The model was developed using the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and solar radiation was obtained by calculation. Our results indicated that the updated VSr model improved the GPP accuracy compared with the standard MODIS GPP product by decreasing the root mean square errors (RMSEs) by 5.083, 4.802 and 3.076 for the GP, FP and CP sites, respectively. A comparison of test samples of GPP MODIS products and the VSr GPP model calculation showed that the VSr model had higher accuracy and stability. The VSr model can be used to simulate changes in short-term GPP where vegetation ecosystem measurements are lacking.

引用

页码：208 / 215

页数：8

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