Scaling photosynthetic function and CO2 dynamics from leaf to canopy level for maize – dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity

AbstractThe aim of this paper is to demonstrate that spectral vegetation indices are good indicators of parameters describing the intensity of CO2exchange between crops and the atmosphere. Measurements were conducted over 2011-2013 on plots of an experimental arable station on winter wheat, winter rye, spring barley, and potatoes. CO2fluxes were measured using the dynamic closed chamber system, while spectral vegetation indices were determined using SKYE multispectral sensors. Based on spectral data collected in 2011 and 2013, various models to estimate net ecosystem productivity and gross ecosystem productivity were developed. These models were then verified based on data collected in 2012. The R2for the best model based on spectral data ranged from 0.71 to 0.83 and from 0.78 to 0.92, for net ecosystem productivity and gross ecosystem productivity, respectively. Such high R2values indicate the utility of spectral vegetation indices in estimating CO2fluxes of crops. The effects of the soil background turned out to be an important factor decreasing the accuracy of the tested models.

Download Full-text

Ecological responses of Stipa steppe in Inner Mongolia to experimentally increased temperature and precipitation. 4. Carbon exchange

The Rangeland Journal ◽

10.1071/rj16080 ◽

2018 ◽

Vol 40 (2) ◽

pp. 159 ◽

Cited By ~ 5

Author(s):

Luomeng Chao ◽

Zhiqiang Wan ◽

Yulong Yan ◽

Rui Gu ◽

Yali Chen ◽

...

Keyword(s):

Soil Moisture ◽

Air Temperature ◽

Inner Mongolia ◽

Ecosystem Respiration ◽

Block Design ◽

Net Ecosystem Exchange ◽

Carbon Exchange ◽

Ecosystem Productivity ◽

Temperature And Precipitation ◽

Gross Ecosystem Productivity

Aspects of carbon exchange were investigated in typical steppe east of Xilinhot city in Inner Mongolia. Four treatments with four replicates were imposed in a randomised block design: Control (C), warming (T), increased precipitation (P) and combined warming and increased precipitation (TP). Increased precipitation significantly increased both ecosystem respiration (ER) and soil respiration (SR) rates. Warming significantly reduced the ER rate but not the SR rate. The combination of increased precipitation and warming produced an intermediate response. The sensitivity of ER and SR to soil temperature and air temperature was assessed by calculating Q10 values: the increase in respiration for a 10°C increase in temperature. Q10 was lowest under T and TP, and highest under P. Both ER and SR all had significantly positive correlation with soil moisture. Increased precipitation increased net ecosystem exchange and gross ecosystem productivity, whereas warming reduced them. The combination of warming and increased precipitation had an intermediate effect. Both net ecosystem exchange and gross ecosystem productivity were positively related to soil moisture and negatively related to soil and air temperature. These findings suggest that predicted climate change in this region, involving both increased precipitation and warmer temperatures, will increase the net ecosystem exchange in the Stipa steppe meaning that the ecosystem will fix more carbon.

Download Full-text

Remote sensing of tundra gross ecosystem productivity and light use efficiency under varying temperature and moisture conditions

Remote Sensing of Environment ◽

10.1016/j.rse.2009.10.003 ◽

2010 ◽

Vol 114 (3) ◽

pp. 481-489 ◽

Cited By ~ 68

Author(s):

K.F Huemmrich ◽

J.A. Gamon ◽

C.E. Tweedie ◽

S.F. Oberbauer ◽

G. Kinoshita ◽

...

Keyword(s):

Remote Sensing ◽

Light Use Efficiency ◽

Ecosystem Productivity ◽

Gross Ecosystem Productivity ◽

Use Efficiency ◽

Moisture Conditions

Download Full-text

Response of gross ecosystem productivity, light use efficiency, and water use efficiency of Mongolian steppe to seasonal variations in soil moisture

Journal of Geophysical Research Atmospheres ◽

10.1029/2006jg000349 ◽

2008 ◽

Vol 113 (G1) ◽

pp. n/a-n/a ◽

Cited By ~ 18

Author(s):

Sheng-Gong Li ◽

Werner Eugster ◽

Jun Asanuma ◽

Ayumi Kotani ◽

Gombo Davaa ◽

...

Keyword(s):

Soil Moisture ◽

Water Use Efficiency ◽

Water Use ◽

Seasonal Variations ◽

Light Use Efficiency ◽

Ecosystem Productivity ◽

Gross Ecosystem Productivity ◽

Use Efficiency

Download Full-text

Soil respiration of a Moso bamboo forest significantly affected by gross ecosystem productivity and leaf area index in an extreme drought event

PeerJ ◽

10.7717/peerj.5747 ◽

2018 ◽

Vol 6 ◽

pp. e5747 ◽

Cited By ~ 3

Author(s):

Yuli Liu ◽

Guomo Zhou ◽

Huaqiang Du ◽

Frank Berninger ◽

Fangjie Mao ◽

...

Keyword(s):

Soil Moisture ◽

Soil Respiration ◽

Soil Temperature ◽

Leaf Area Index ◽

Leaf Area ◽

Moso Bamboo ◽

Drought Event ◽

Ecosystem Productivity ◽

Area Index ◽

Gross Ecosystem Productivity

Moso bamboo has large potential to alleviate global warming through carbon sequestration. Since soil respiration (Rs) is a major source of CO2 emissions, we analyzed the dynamics of soil respiration (Rs) and its relation to environmental factors in a Moso bamboo (Phllostachys heterocycla cv. pubescens) forest to identify the relative importance of biotic and abiotic drivers of respiration. Annual average Rs was 44.07 t CO2 ha−1 a−1. Rs correlated significantly with soil temperature (P < 0.01), which explained 69.7% of the variation in Rs at a diurnal scale. Soil moisture was correlated significantly with Rs on a daily scale except not during winter, indicating it affected Rs. A model including both soil temperature and soil moisture explained 93.6% of seasonal variations in Rs. The relationship between Rs and soil temperature during a day showed a clear hysteresis. Rs was significantly and positively (P < 0.01) related to gross ecosystem productivity and leaf area index, demonstrating the significance of biotic factors as crucial drivers of Rs.

Download Full-text