scholarly journals Linking a farmer crop selection model (FCS) with an agronomic model (EPIC) to simulate cropping pattern in Northeast China

2016 ◽  
Vol 15 (10) ◽  
pp. 2417-2425 ◽  
Author(s):  
Ying-bin HE ◽  
Wei-min CAI
Author(s):  
Tingting Yan ◽  
Jinxia Wang ◽  
Jikun Huang ◽  
Wei Xie ◽  
Tingju Zhu

Abstract. The water-food-energy-GHG nexus under climate change has been gaining increasing attention from both the research and policy communities, especially over the past several years. However, most existing nexus studies are qualitative and explorative in nature. So far, very few studies provide integrated analysis of this nexus across all the four sectors. The purpose of this paper is to examine this nexus by assessing the effects of climate change on agricultural production through the change in water availability, evaluating the adjustment responses and resulting energy consumption and GHG emission, with the Northeast China as a case study. Based on our simulation results, by 2030, climate change is projected to increase water supply and demand gap for irrigation in Northeast China. Due to the increase in water scarcity, irrigated areas will decrease, and the cropping pattern will be adjusted by increasing maize sown areas and decreasing rice sown areas. As a result, the total output of crops and profits will clearly be reduced. Finally, energy consumption and GHG emission from irrigation will be reduced. This study suggests that climate change impact assessment fully consider the nexus among water, food, energy and GHG; however, more studies need to be conducted in the future.


2013 ◽  
Vol 448-453 ◽  
pp. 4508-4513
Author(s):  
Lei Gang Shi ◽  
Ying Yu ◽  
He Ju Huai ◽  
Jing Ping Zhou ◽  
Hai Tang Hu ◽  
...  

In order to calculate the carbon footprint of agricultural production on farm, this paper, based on the investigation data of the farmers production, applying carbon footprint model, evaluated the carbon footprint (CF) of spring maize production systems (SMPS) on farm and its production teams in Northeast China Plain. The results were as follows: the CF of SMPS was 863.14.42±104.17 kg CO2e ha-1, in which chemical fertilizer accounted for 44.60%, mechanical operation accounted for 42.96%, seed accounted for 9.96%, and pesticides accounted for about 2.48%, respectively. The CF of SMPS in different production teams were significantly different (P<0.01), 18th production teams was the highest (958.37±81.73 kg CO2e ha-1) and 19th team was the lowest (767.84±45.98 kg CO2e ha-1). The differences of the CF of SMPSR among production teams almost was resulted from nitrous fertilizer using. Therefore, it had the potentiality of emission reduction in the production teams with higher CF. Using a fertilizer-saving way to build a low-carbon agricultural cropping pattern, that is an important way to realize agricultural energy saving and emission reduction of farm in the Northeast China Plain.


2019 ◽  
Vol 18 (1) ◽  
pp. 35-55
Author(s):  
Mohammad Aizat Basir ◽  
Yuhanis Yusof ◽  
Mohamed Saifullah Hussin

2020 ◽  
Vol 85 ◽  
pp. 183-196
Author(s):  
Y Sun ◽  
J Liu ◽  
Q Yao ◽  
J Jin ◽  
X Liu ◽  
...  

Viruses are the most abundant and ubiquitous biological entities in various ecosystems, yet few investigations of viral communities in wetlands have been performed. To address this data gap, water samples from 6 wetlands were randomly collected across northeast China; viruses in the water were concentrated by sequential tangential flow filtration, and viral communities were assessed through randomly amplified polymorphic DNA-PCR (RAPD-PCR) with 4 decamer oligonucleotide primers. Principal coordinate analysis and hierarchical clustering analysis of the DNA fingerprints showed that viral community compositions differed among the water samples: communities in the 2 coastal wetlands were more similar to each other than to those in the 4 freshwater wetlands. The Shannon-Weaver index (H) and evenness index (E) of the RAPD-PCR fingerprint also differed among the 6 wetlands. Mantel test revealed that the changes in viral communities in wetland water were most closely related to the water NH4+-N and inorganic C content, followed by total K, P, C and NO3--N. DNA sequence analysis of the excised bands revealed that viruses accounted for ~40% of all sequences. Among the hit viral homologs, the majority belonged to the Microviridae. Moreover, variance partitioning analysis showed that the viral community contributed 24.58% while environmental factors explained 30.56% of the bacterial community variation, indicating that the bacterial community composition was strongly affected by both viral community and water variables. This work provides an initial outline of the viral communities from different types of wetlands in northeast China and improves our understanding of the viral diversity in these ecosystems.


2016 ◽  
Vol 67 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Y Liu ◽  
L Wang ◽  
B Liu ◽  
M Henderson

2019 ◽  
Vol 78 (1) ◽  
pp. 1-19 ◽  
Author(s):  
MA Faiz ◽  
D Liu ◽  
Q Fu ◽  
F Baig ◽  
AA Tahir ◽  
...  

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