Impact of Urban Expansion on Forest Carbon
Sequestration: a Study in Northeastern China

Zhang, Wei; Ma, Jun; Liu, Miao; Li, Chunlin

doi:10.15244/pjoes/102366

Cited by 11 publications

(5 citation statements)

References 34 publications

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“…A 1% increase in urbanization would reduce the FE by −0.06% to 0.1% (columns 1-4). These results are in line with (Zhang et al, 2020) [54].…”

Section: Findings Of Long-run Analysissupporting

confidence: 89%

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Yasmeen,

Shah

2024

Forests

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The objective of this study is to examine the impact of climate and technology on forest efficiency (FE) in China’s provinces from 2002 to 2020. First, the study used SBM-data envelopment analysis (SBM-DEA) to estimate Chinese provinces’ FE using multidimensional forest inputs and outputs. The climate influence is assessed using temperature, precipitation, sunlight hours, and carbon dioxide levels in the second phase. A climate index was created using principal component analysis (PCA) for a complete estimation. In addition to prior research, we analyze the technology impact through two technological indicators: (i) research and development, and (ii) investment in forests. Furthermore, we explore the non-linear influence of economic development on both FE and climate quality. The regression study by CupFM and CupBC found that temperature and precipitation increase FE, whereas sunlight hours and carbon emissions decrease it. The positive association observed between Climate Index1, and the negative relationship noted for Climate Index2, suggests that forests positively influence climate conditions, signifying that an improvement in FE leads to an improvement in climate quality. Technology boosts forest productivity and climatic quality. The environmental Kuznets curve shows an inverted U-shape relationship between economic development and FE. Similarly, climate and economic development have an inverted U-shaped EKC relationship. Urbanization reduces FE due to human growth and activity. Our findings are important for forest management, climate change, and sustainable development policymakers and scholars.

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“…A 1% increase in urbanization would reduce the FE by −0.06% to 0.1% (columns 1-4). These results are in line with (Zhang et al, 2020) [54].…”

Section: Findings Of Long-run Analysissupporting

confidence: 89%

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Yasmeen,

Shah

2024

Forests

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“…These factors make the hilly areas more prone to natural disasters such as flash floods, landslides, and forest fires, thus increasing ecological risks. This is corroborated by related research findings 43,45 . Furthermore, the northeast hilly region is not only rich in mineral resources but also boasts beautiful scenery.…”

Section: 2higher Ecological Risks In the Northeast Hilly Region Compa...supporting

confidence: 88%

Spatial-Temporal Variation and Correlation Analysis of Ecosystem Service Values and Ecological Risks in Winter Cities: Evidence from Shenyang, China

Li,

Xie

2024

Preprint

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Ecosystems in winter cities are complex and fragile, experiencing significant changes due to climate variations and human construction activities. Assessing the ecological status and risk faced by these areas commonly involves using Ecosystem Service Value (ESV) and Ecological Risk Index (ERI). However, limited research has combined these two measures to reveal sptial-temporal trends in urban ecosystem conditions. This study utilizes land use data from 2000, 2010, and 2020 to construct ESV and ERI measurement models using the improved unit area value factor method and landscape pattern index method, respectively. By evaluating the regional and temporal differentiation features of ESV and ERI, in addition to their spatial association, the study identifies priority areas for urban ecological restoration and recommends rationalization solutions. The findings indicate: Between 2000 and 2020, Shenyang's total ESV decreased by 1.31%, from 273.97×108 CNY to 270.38×108 CNY. The ESV per unit area dropped from 21304.50 CNY/hm2 to 21025.33 CNY/hm2. The ecological risk to the study area has increased. The area of ERI high-value, higher-value, and medium-value zones remained relatively stable, while the area of low-value zones decreased by 12.78%, and the area of lower-value zones increased by 13.21%. There is a spatial correlation between ESV and ERI in winter cities. The H-H area is distributed in the northeastern hilly region, which exhibits strong ESV supply capacity while facing severe ecological risks, identifying it as a priority region to pursue ecological rehabilitation. These results offer theoretical justification for urban management and planning, guaranteeing the ecological security and sustainability of winter cities.

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“…The carbon sink capacity is higher in the city [34,122,166,185,190] The carbon sink capacity is higher outside the city [119,[123][124][125]171,173,186,[191][192][193][194][195] Inclusion Cooling effect of green spaces on the city Green cover Grass irrigation cover Shading coefficient Vegetation layout Vegetation aggregation Green index (quantity + structure) Landscape + [33,[196][197][198][199][200] The cooling effect of urban forests reduces the urban heat island effect, improves the microclimate, and positively impacts the physical and mental health of residents. It reduces the heat stress response of plants; however, it results in an ecosystem that is fragile due to the size of the green space.…”

Section: Landscapementioning

confidence: 99%

A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework

Liu,

Fan,

Xue

2024

Sustainability

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Urban areas and green spaces are significant atmospheric carbon sources and sinks. Spatial planning is crucial for improving the urban carbon budget. However, there are many uncertainties due to the diversity and complexity of the effects of urban and green space forms on the carbon budget. As a result, the role of urban areas and green spaces in emission reduction and carbon sink increases remains ambiguous. We use a landscape sustainability framework and systematically review the literature from 2002 to 2022 to elucidate the interaction between urban and green space forms and the carbon budget. We focus on regional and landscape scales. Nine landscape planning indicators affecting urban area carbon emissions, four indicators affecting green space carbon sinks, and three indicators affecting the urban–green space ecotonal relationship and the carbon budget are derived. We analyze the causes of the differences between the studies and discuss the influences of the indicators on emission reduction, carbon sink increases, and sustainable development. We summarize the design and research of urban and green spaces and the urban–green space ecotone and provide suggestions for carbon emission reduction, carbon sink increases, and research directions for future studies.

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Impact of Urban Expansion on Forest Carbon Sequestration: a Study in Northeastern China

Cited by 11 publications

References 34 publications

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Unveiling the Influence of Climate and Technology on Forest Efficiency: Evidence from Chinese Provinces

Spatial-Temporal Variation and Correlation Analysis of Ecosystem Service Values and Ecological Risks in Winter Cities: Evidence from Shenyang, China

A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework

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