Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective

Deng, Xiangzheng; Zhao, Chunhong; Lin, Youhui; Zhang, Tao; Qu, Yi; Zhai, Fan; Zhan, Wenfeng; Wu, Feng

doi:10.3390/en7042720

Cited by 30 publications

(13 citation statements)

References 56 publications

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“…However, there is an increasing worldwide discussion about humans' sustainability due to the rising trend of greenhouse gas (GHG) emissions and the excessive consumption of natural resources. Even though the key impact factors are still under debate, academia across the world has come to an agreement that this situation is basically ascribed to anthropogenic disturbances with agriculture, urban development and energy production [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Changes of the Ecological Footprint and Its Component Analysis Response to Land Use in Wuhan, China

2016

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Humans' demands for biological resources and energies have always been increasing, whereas evidence has shown that this demand is outpacing the regenerative and absorptive capacity of the planet. Since China is experiencing unprecedented urbanization and industrialization processes, how much impact this has imposed on the earth during economic development worldwide is conspicuous. Therefore, this paper tries to examine the environmental impact in detail and track its changes in a typical city of Central China, Wuhan, based on ecological footprint analysis. By calculating the ecological footprint and its components in terms of biologically productive land areas during the period of 1995-2008, it is found that the ecological footprint increased in fluctuations from 1.48 gha per capita to 2.10 gha per capita, with the carbon footprint contributing most within the whole time period. Compared to the tiny declining biocapacity of the region, a gradually aggravated ecological deficit in the city was observed, which increased from 1.12 gha per capita in 1995 to 1.79 gha per capita in 2008. Component analysis on the trends of the ecological footprint and ecological deficit reveals that the impact on the ecosystem induced by humans' demands for resource production and energy consumption became greater than before, and cutting down the consumption of fossil fuels could reduce the carbon footprint and the overall ecological deficit of the city.

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Section: Introductionmentioning

confidence: 99%

Dynamic Changes of the Ecological Footprint and Its Component Analysis Response to Land Use in Wuhan, China

2016

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“…LUCC could significantly affect key aspects of Earth system functioning [5], playing an essential role in balancing energy use. Land use activities, e.g., afforestation, deforestation, excessive reclamation, grazing, excavation and abandonment as well as urbanization, all influence runoff, evapotranspiration, the distribution of the precipitation among the soil waters and the land surface energy budget [6,7]. Ecologists increasingly recognize that a full understanding of ecosystems should be based on the analysis of ecosystem functioning over long time scales [8] as historical land use legacies have a strong and sometimes over-riding influence on the dynamics of present-day ecosystems, exhibiting a time-lagged response.…”

Section: Introductionmentioning

confidence: 99%

Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China

et al. 2015

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Decadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical reconstruction of past land use and land cover changes. Most of the existing historical reconstructions have insufficient spatial and thematic detail and do not consider various land change types. In this context, this paper explored the possibility of using a cellular automata-Markov model in 90 m × 90 m spatial resolution to reconstruct historical land use in the 1930s in Zhenlai County, China. Then the three-map comparison methodology was employed to assess the predictive accuracy of the transition modeling. The model could produce backward projections by analyzing land use changes in recent decades, assuming that the present land use pattern is dynamically dependent on the historical one. The reconstruction results indicated that in the 1930s most of the study area was occupied by grasslands, followed by wetlands and arable land, while other land categories occupied relatively small areas. Analysis of the three-map comparison illustrated that the major differences among the three maps have less to do with the simulation model and more to do with the inconsistencies among the land categories during the study period. OPEN ACCESSEnergies 2015, 8 3883Different information provided by topographic maps and remote sensing images must be recognized.

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“…Although Clinton et al (2013) have detected the SUHII difference with different rural areas, the method used to define the urban and rural areas meant that it was hard to effectively distinguish the complex footprint of different cities [28]. Moreover, some studies have shown that the related results will differ significantly depending on the different data used to classify urban and rural areas [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases

Cui

Dong

et al. 2016

Sustainability

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Urbanization is a global problem with demographic trends. The urban heat island plays a dominant role in local climate systems. Despite existing efforts to understand the impacts of multiple urbanization factors on the urban heat island globally, very little is known about the attribution of urban heat island magnitude to urbanization in different locations or developmental phases. In this study, based on global land surface temperature data, urban spatial domain data, gross domestic product (GDP), and population data, we analyzed the influence of multiple urbanization factors on global surface urban heat island intensity (SUHII). We also tentatively compared the abovementioned factors between different regions across the globe, especially between China and the USA, the largest countries that are experiencing or have experienced rapid urbanization in recent decades. The results showed that global SUHII had remarkable spatial heterogeneity due to the geographical and socioeconomic variation between cities. There was a significant correlation between SUHII and population as well as GDP in global cities. Moreover, this study suggested that the impacts of population on SUHII might be stronger in the early stages of urbanization, and the GDP factor would become a critical factor at a certain development level. The urban area also had non-ignorable impacts on SUHII, while the correlation between SUHII and urban shape was relatively weak. All these may imply that the best approach to slow down SUHII is to find other solutions, e.g., optimize the spatial configuration of urban internal landscapes, when the urbanization reaches a high level.

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Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective

Cited by 30 publications

References 56 publications

Dynamic Changes of the Ecological Footprint and Its Component Analysis Response to Land Use in Wuhan, China

Dynamic Changes of the Ecological Footprint and Its Component Analysis Response to Land Use in Wuhan, China

Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China

Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases

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