Urban Carbon Cycle

Local carbon emission zone construction in the highly urbanized regions: Application of residential and transport CO$_2$ emissions in Shanghai, China

Optimizing urban morphology can help city managers deploy internal carbon reduction strategies. However, due to the numerous factors that influence urban carbon emissions and the complex paths of their effects, existing research findings are diverse …

A mixed-effect model for estimation of large area subtropical forest biomass

A mixed-effect model for estimation of large area subtropical forest biomass. CN108959705A

Improving the accuracy of forest biomass estimate using source analysis and machine learning

Improving the accuracy of forest biomass estimate using source analysis and machine learning. CN111814397A

A forest inventory biomass estimation model by multisources data fusion

A forest inventory biomass estimation model by multisources data fusion. CN110162872A.

The importance of the functional mixed entropy for the explanation of residential and transport CO$_2$ emissions in the urban center of China

The influence of urban spatial form on the environment is complex and lengthy. The spatial analysis for the urban form and residential-related CO$_2$ emissions at the city scale is challenging due to the lack of extensive urban form data and …

Improving Plot-Level Model of Forest Biomass: A Combined Approach Using Machine Learning with Spatial Statistics

Estimating the aboveground biomass (AGB) at the plot level plays a major role in connecting accurate single-tree AGB measurements to relatively difficult regional AGB estimates. The goal of this study is to determine whether combining machine learning with spatial statistics reduces the uncertainty of plot-level AGB estimates.

Investigating the Uncertainties Propagation Analysis of CO$_2$ Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China

Cities play an essential role in low-carbon development. However, Estimating CO$_2$ emissions at the urban scale, including both un-gridded (i.e., administrative unit maps) and gridded maps, cannot avoid the propagation of uncertainties from input to result, which highlights the importance of being aware of uncertainty estimation, especially in gridded maps due to its implications for the precision mitigation of CO$_2$ emissions. We proposed an analytic workflow to analyze the propagated uncertainties caused by the gridded model and the input for gridded CO$_2$ emission maps.

A spatial database of CO$_2$ emissions, urban form fragmentation and city-scale effect related impact factors for the low carbon urban system in Jinjiang city, China

This paper presented the spatial database collected in 2013 for mitigating the urban carbon emissions of Jinjiang city, China. The database included the high-resolution $CO_2$ emissions gridded maps, urban form fragmentation evaluation maps, and …

More fragmentized urban form more CO$_2$ emissions? A comprehensive relationship from the combination analysis across different scales

The “Scale effect” has always been the hot topic in landscape ecology research. Although, there are many studies on the driving force of urban environmental problems by using landscape metrics. Most studies are carried out in regional, continental and global scales. However, in this study, we explored the relationship between the urban form fragmentation and $CO_2$ emissions in the city scale from the perspective of dual resolution sizes and summarized the research conclusions that can be used in urban internal management based on the analysis results of small towns.

Creating a Carbon Source and Sink Map by Coupling an Ecological Process Model with an Emission Inventory to Study a Carbon Balance

Cities are typical sources of carbon and a focus of climate-change mitigation. Although there is great potential for reducing emissions in cities, constructing low-carbonemission cities under the carbon-emission reduction target of the 2016 Paris …