Nonlinear response of ecosystem respiration to gradient warming in paddy field in Northeast China

2022 ◽  
Vol 312 ◽  
pp. 108721
Author(s):  
Xiaowen Song ◽  
Qian Chen ◽  
Kexin Wang ◽  
Xianjin Zhu ◽  
Tao Zhang ◽  
...  
PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9327
Author(s):  
Yulu Sun ◽  
Fuyao Qu ◽  
Xianjin Zhu ◽  
Bei Sun ◽  
Guojiao Wang ◽  
...  

Global warming has a known impact on ecosystems but there is a lack of understanding about its impact on ecosystem processes. Net ecosystem productivity (NEP) and its components play a key part in the global carbon cycle. Analysing the impact of global warming on NEP will improve our understanding of how warming affects ecosystems. In our study, conducted in 2018, five warming treatments were manipulated (0 W, 500 W, 1000 W, 1500 W, and 3000 W) using three repetitions of far infrared open warming over a paddy field in Northeast China. NEP and its two related components, gross primary productivity (GPP) and ecosystem respiration (ER), were measured using the static chamber-infrared gas analyser method to explore the effects of different warming magnitudes on NEP. Results showed that measurement dates, warming treatments, and their interactions significantly affected NEP, ER, and GPP. Warming significantly increased NEP and its components but they showed a non-linear response to different warming magnitudes. The maximum increases in NEP and its components occurred at 1500 W warming. NEP is closely related to its components and the non-linear response of NEP may have primarily resulted from that of GPP. Gradient warming non-linearly increased GPP in the paddy field studied in Northeast China, resulting in the non-linear response of NEP. This study provides a basis for predicting the responses of carbon cycles in future climate events.


2019 ◽  
Vol 9 (3) ◽  
pp. 925-937 ◽  
Author(s):  
Ning Chen ◽  
Juntao Zhu ◽  
Yangjian Zhang ◽  
Yaojie Liu ◽  
Junxiang Li ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3292
Author(s):  
Xinqiang Du ◽  
Jing Feng ◽  
Min Fang ◽  
Xueyan Ye

As one of the largest agricultural areas, the Sanjiang Plain of Northeast China has faced serious inorganic nitrogen pollution of groundwater, but the sources and the formation mechanism of pollution in the regional shallow groundwater remain unclear, which constrains the progress of pollution control and agricultural development planning. An investigation on potential nitrogen sources, groundwater inorganic nitrogen compounds (NH4+, NO3−, NO2−), and topsoil total nitrogen concentration (TN) was conducted in a typical paddy irrigation area of Sanjiang Plain. Multivariate statistical analysis combined with geospatial-based assessment was applied to identify the sources, determine the governing influencing factors, and analyze the formation process of inorganic nitrogen compounds in shallow groundwater. The results show that the land use type, oxidation-reduction potential (Eh), groundwater depth, NO2− concentration, and electrical conductivity (EC) are highly correlated with the NO3− pollution in groundwater, while DO and Eh affected the distribution of NH4+ most; the high concentrations of NO3− in sampling wells are most likely to be found in the residential land and are distributed mainly in densely populated areas, whereas the NH4+ compounds are most likely to accumulate in the paddy field or the lands surrounded by paddy field and reach the highest level in the northwest of the area, where the fields were cultivated intensively with higher fertilization rates and highest values of topsoil TN. From the results, it can be concluded that that the NO3− compounds in groundwater originated from manure and domestic waste and accumulated in the oxidizing environment, while the NH4+ compounds were derived from N fertilization and remained steady in the reducing environment. NO2− compounds in groundwater were the immediate products of nitrification as a result of microorganism activities.


2020 ◽  
Author(s):  
Xiaolan Li ◽  
Xiao-Ming Hu ◽  
Changjie Cai ◽  
Qingyu Jia ◽  
Yao Zhang ◽  
...  

<p>CO<sub>2</sub> fluxes and concentrations are not well understood in Northeast China, where dominant land surface types are mixed forest and cropland.  Here, we analyzed the CO<sub>2</sub> fluxes and concentrations using Eddy Covariance (EC) measurements, satellite observations, and the Weather Research and Forecasting model coupled with the Vegetation Photosynthesis and Respiration Model (WRF-VPRM).  We also used WRF-VPRM outputs to examine CO<sub>2</sub> transport/dispersion, and to quantify the biogenic and anthropogenic contributions to atmospheric CO<sub>2</sub> concentrations.  Finally, we investigated the uncertainties of simulating CO<sub>2</sub> fluxes related to four VPRM parameters (including maximum light use efficiency, photosynthetically active radiation half-saturation value, and two respiration parameters) using offline ensemble simulations with randomly selected parameter values.  The results indicated that mixed forests acted as a larger CO<sub>2</sub> source and sink than rice paddies on average in 2016 due to a longer growth period and stronger ecosystem respiration, although the minimum EC-measured daily mean net ecosystem exchange (NEE) was smaller at rice paddy (-10 μmol m<sup>-2</sup> s<sup>-1</sup>) than at mixed forest (-6.5 μmol m<sup>-2</sup> s<sup>-1</sup>) during the growing season (May through September).  The monthly fluctuation of column-averaged CO<sub>2</sub> concentrations (XCO<sub>2</sub>) exceeded 10 ppm in Northeast China during 2016.  Biogenic contribution (large negative in summer and insignificant in other months) offset about 70% of anthropogenic contribution of XCO<sub>2</sub> in this region.  WRF-VPRM modeling successfully captured seasonal and episodic variations of NEE and CO<sub>2</sub> concentrations, however, the NEE in mixed forest was overestimated during daytime, mainly due to the uncertainties of VPRM parameters, especially maximum light use efficiency.</p>


2018 ◽  
Author(s):  
Xueyang Yu ◽  
Siyuan Ye ◽  
Linda Olsson ◽  
Mengjie Wei ◽  
Ken W. Krauss ◽  
...  

Abstract. Ecosystem respiration contributes greatly to carbon emissions and losses in coastal wetlands. To gain a better understanding of gaseous carbon loss from a coastal wetland covered by seablite (Suaeda salsa Pall.) and to evaluate the influence of environmental factors on ecosystem respiration, a multi-year in-situ experiment was carried out during the growing season of 2012 through part of 2014. By partitioning total carbon dioxide (CO2) flux into soil respiration (Rsoil) and plant respiration (Rp), we found that during mid-summer, ecosystem CO2 respiration rates (Reco) were within the range of 844.5 to 1150.0 mg CO2 m−2 −1, while Reco was as low as 31.7 to 110.8 mg CO2 m−2 h−1 at the beginning and the end of growing seasons. Aboveground S. salsa plant material comprised 79.1 % of total biomass on average, and Rp dominated Reco during inundated periods. It is estimated that 1 gram of soil-emergent S. salsa biomass (dry weight) could produce approximately 1.41 to 1.46 mg CO2 per hour during mid-summer. When water level was below the soil surface, soil microbial and belowground root respiration (Rs+r) was exponentially correlated with air temperature. Based on our observation, an empirical model was developed to estimate system respiration of the S. salsa marsh in the Liaohe River Delta, Northeast China. This model can be applied for regional carbon budget estimation purposes from S. salsa wetlands throughout Northeast China.


2006 ◽  
Vol 52 (3) ◽  
pp. 529-539 ◽  
Author(s):  
Lihua Zhang ◽  
Changchun Song ◽  
Xunhua Zheng ◽  
Dexuan Wang ◽  
Yiyong Wang

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