scholarly journals Retraction Notice

Author(s):  
Ram Kailash Yadav

On 11th September 2018 the Editorial Board of Ecoprint: An International Journal of Ecology agreed to retract the article ‘DOES BETTER ENVIRONMENTAL GOVERNANCE REDUCE ANTHROPOGENIC CARBON DIOXIDE EMISSION? A CROSS-COUNTRY ANALYSIS’ published in Ecoprint: An International Journal of Ecology, Vol.23(2016) pages 29-38 (DOI: http://dx.doi.org/10.3126/eco.v23i0.20649) as it was found to be a duplicate publication of the following article: ‘DOES BETTER ENVIRONMENTAL GOVERNANCE REDUCE ANTHROPOGENIC CARBON DIOXIDE EMISSION? A CROSS-COUNTRY ANALYSIS’ published in Law, Environment and Development Journal 12/1 (2016), p. 35, available at http://www.lead-journal.org/content/16035.pdf

2016 ◽  
Vol 23 ◽  
pp. 29-38
Author(s):  
T. S. Krishnan

The following retraction notice appears in Ecoprint: An International Journal of Ecology Vol.24 (2017) DOI: http://dx.doi.org/10.3126/eco.v24i0.21068On 11th September 2018 the Editorial Board of Ecoprint: An International Journal of Ecology agreed to retract the article ‘DOES BETTER ENVIRONMENTAL GOVERNANCE REDUCE ANTHROPOGENIC CARBON DIOXIDE EMISSION? A CROSS-COUNTRY ANALYSIS’ published in Ecoprint: An International Journal of Ecology, Vol.23 (2016) pages 29-38 (DOI: http://dx.doi.org/10.3126/eco.v23i0.20649) as it was found to be a duplicate publication of the following article: ‘DOES BETTER ENVIRONMENTAL GOVERNANCE REDUCE ANTHROPOGENIC CARBON DIOXIDE EMISSION? A CROSS-COUNTRY ANALYSIS’ published in Law, Environment and Development Journal 12/1 (2016), p. 35, available at http://www.lead-journal.org/content/16035.pdf


2003 ◽  
Vol 17 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Noah S. Diffenbaugh ◽  
Lisa C. Sloan ◽  
Mark A. Snyder ◽  
Jason L. Bell ◽  
Jed Kaplan ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianbin Tao ◽  
XiangBing Kong

AbstractA gridded social-economic data is essential for geoscience analysis and multidisciplinary application. Spatial allocation of carbon dioxide statistics data is an important issue in the context of global climate change, which involves the carbon emissions accounting and decomposition of responsibility for carbon emission reductions. In this research a new spatial allocation method for non-point source anthropogenic carbon dioxide emissions (ACDE) fusing multi-source data using Bayesian Network (BN) was introduced. In addition to common-used DMSP (Defense Meteorological Satellite Program), PD (population density) and GDP (Gross Domestic Production) data, the land cover and vegetation data was imported into the model as prior knowledge to optimize the model fitting. The prior knowledge here was based on the understanding that ACDE was dominated by human activities and has strong correlations with land cover and vegetation conditions. A 1 km gridded ACDE map integrated emissions form point-source and non-point source was generated and validated. The model predicts ACDE with high accuracies and great improvement can be observed when fusing land cover and vegetation as prior knowledge. The model can achieve successful statistics data downscaling on national scale provided adequate sample data are available, offering a novel method for ACDE accounting in China.


2021 ◽  
Author(s):  
Yannig Durand ◽  
Grégory Bazalgette Courrèges-Lacoste ◽  
Charlotte Pachot ◽  
Luc Boucher ◽  
Arnaud Pasquet ◽  
...  

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