The Characteristics and Seasonal Variation of Methane Fluxes From an Alpine Wetland in the Qinghai Lake watershed, China

Wetlands ◽  
2021 ◽  
Vol 41 (5) ◽  
Author(s):  
Fangtao Wu ◽  
Shengkui Cao ◽  
Guangchao Cao ◽  
Kelong Chen ◽  
Changhui Peng
Keyword(s):  
Seasonal Variation ◽  
Qinghai Lake ◽  
Alpine Wetland ◽  
Methane Fluxes

The CO2 Flux Diurnal Variation of Qinghai Lake Alpine Wetland Ecosystem in the Spring

2015 ◽  
Author(s):  
Guang-Zhao Han ◽  
Sheng-Kui Cao ◽  
Guang-Chao Cao ◽  
Ke-Long Chen ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Diurnal Variation ◽  
Co2 Flux ◽  
Qinghai Lake ◽  
Wetland Ecosystem ◽  
Alpine Wetland

scholarly journals Influence of Soil Water Content on the Vegetation Species Richness in Qinghai Lake Inland Alpine Wetland

2011 ◽  
Vol 10 ◽  
pp. 2426-2430 ◽  
Author(s):  
Zhu Jinfu ◽  
Chen Kelong ◽  
Wu Yanpeng ◽  
Cao Guangchao ◽  
Cao Shengkui ◽  
...  
Keyword(s):  
Species Richness ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Qinghai Lake ◽  
Alpine Wetland ◽  
Vegetation Species

Study of the Differences between Vegetation and Soil Spectrum about Alpine Wetland Ecosystem

2014 ◽  
Vol 937 ◽  
pp. 565-570
Author(s):  
Ji Ming Wang ◽  
Ke Long Chen ◽  
Xin Zhang ◽  
Zheng Xia Luo
Keyword(s):  
Soil Moisture ◽  
Soil Properties ◽  
Water Absorption ◽  
Wavelength Range ◽  
Negative Correlation ◽  
Qinghai Lake ◽  
Wetland Ecosystem ◽  
Absorption Bands ◽  
Alpine Wetland ◽  
Strong Similarity

Using FieldSpec ® 4 Hi-Res portable coverings spectrometer, we have measured the main vegetation and siol reflectance based on different habitats:Surface water swamping meadow, a seasonal water swamping beach, wet beach without of water and sandy in the little Park Lake, East of the Qinghai Lake and analyzed the spectral differences. The results show that: Soil moisture is one of the important factors that affect reflectivity. Under the premise of similar other soil properties, soil moisture and reflectivity shows a negative correlation with each other. 350-1000nm wavelength range is ideal to distinguish vegetation and soil. Due to the presence of water absorption bands, within 1000-1300nm the spectrum derivative of soil and vegetation has a strong similarity, but still can be used to identify the spectrum of vegetation and soil. In addition to sandy habitats, vegetation and soil spectrum has a strong similarity in the 1300-2500nm wavelength range, it is more tolerance translation will confuse the two bands, the spectrum has a strong similarity in the range of 1300-2500nm, so it is relatively easy to confuse the two spectrum.

Study on Water Vapor Fluxes in Qinghai Lake Alpine Wetland Ecosystem in the Spring

2015 ◽  
Author(s):  
Jing Zhang ◽  
Sheng-Kui Cao ◽  
Guang-Chao Cao ◽  
Ke-Long Chen ◽  
Guang-Zhao Han ◽  
...  
Keyword(s):  
Water Vapor ◽  
Qinghai Lake ◽  
Wetland Ecosystem ◽  
Alpine Wetland

Alpine wetland ecosystem carbon sink and its controls at the Qinghai Lake

2017 ◽  
Vol 76 (5) ◽  
Author(s):  
Shengkui Cao ◽  
Guangchao Cao ◽  
Qi Feng ◽  
Guangzhao Han ◽  
Yangyang Lin ◽  
...  
Keyword(s):  
Carbon Sink ◽  
Qinghai Lake ◽  
Wetland Ecosystem ◽  
Alpine Wetland ◽  
Ecosystem Carbon

Study on the Characteristics of Heat Fluxes in the Qinghai Lake Alpine Wetland Ecosystem over Spring

2015 ◽  
Author(s):  
Yang-Yang Lin ◽  
Sheng-Kui Cao ◽  
Guang-Chao Cao ◽  
Ke-Long Chen ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Heat Fluxes ◽  
Qinghai Lake ◽  
Wetland Ecosystem ◽  
Alpine Wetland

Seasonal Variation of Methane Fluxes in a Mangrove Ecosystem in South India: An Eddy Covariance-Based Approach

2021 ◽  
Author(s):  
Palingamoorthy Gnanamoorthy ◽  
S. Chakraborty ◽  
R. Nagarajan ◽  
R. Ramasubramanian ◽  
V. Selvam ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Eddy Covariance ◽  
South India ◽  
Mangrove Ecosystem ◽  
Methane Fluxes

scholarly journals Tropical forest soils serve as substantial and persistent methane sinks

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jun-Fu Zhao ◽  
Shu-Shi Peng ◽  
Meng-Ping Chen ◽  
Guan-Ze Wang ◽  
Yi-Bin Cui ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Seasonal Variation ◽  
Tropical Forest ◽  
Tropical Forests ◽  
Forest Soils ◽  
Forest Site ◽  
Methane Uptake ◽  
Global Soil ◽  
Methane Fluxes ◽  
Methane Sink

AbstractAlthough tropical forest soils contributed substantially global soil methane uptake, observations on soil methane fluxes in tropical forests are still sparse, especially in Southeast Asia, leading to large uncertainty in the estimation of global soil methane uptake. Here, we conducted two-year (from Sep, 2016 to Sep, 2018) measurements of soil methane fluxes in a lowland tropical forest site in Hainan island, China. At this tropical forest site, soils were substantial methane sink, and average annual soil methane uptake was estimated at 2.00 kg CH4-C ha−1 yr−1. The seasonality of soil methane uptake showed strong methane uptake in the dry season (−1.00 nmol m−2 s−1) and almost neutral or weak soil methane uptake in the wet season (−0.24 nmol m−2 s−1). The peak soil methane uptake rate was observed as −1.43 nmol m−2 s−1 in February, 2018, the driest and coolest month during the past 24 months. Soil moisture was the dominant controller of methane fluxes, and could explain 94% seasonal variation of soil methane fluxes. Soil temperature could not enhance the explanation of seasonal variation of soil methane fluxes on the top of soil moisture. A positive relationship between soil methane uptake and soil respiration was also detected, which might indicate co-variation in activities of methanotroph and roots and/or microbes for soil heterotrophic respiration. Our study highlights that tropical forests in this region acted as a methane sink.

Sign in / Sign up

Export Citation Format

Share Document