Identification of the geographical factors influencing the relationships between ecosystem services in the Belt and Road region from 2010 to 2030

Xu, Jun; Chen, Jixing; Liu, Yanxu; Fan, Fenliang

doi:10.1016/j.jclepro.2020.124153

Cited by 55 publications

(24 citation statements)

References 67 publications

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“…Decrease in forest area and increase in energy consumption which is caused by the accelerating urbanization in the BR region has led to serious air pollution dominated by PM 2.5 (Fang et al, 2020). Land use change which is also caused by the urbanization in the BR region has directly influenced the distribution of ecosystem services by altering their intrinsic processes (J. Xu, Chen, Liu, & Fan, 2020). According to the ecosystem service value per unit area, different land cover types are ranked from high to low as wetland, water body, forest, grassland, cropland, unused land (shrub and sparsely vegetated area) and built‐up land (T. Li et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

et al. 2020

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As important node cities in the Belt and Road region, Shenzhen and Bangkok are faced with similar environmental threats posed by the high‐speed social development process. Rapid urbanization leads to changes in vegetation growth and land cover types and then affects ecosystem services. In the current study, we used a time‐series normalized difference vegetation index dataset from 2000 to 2019 and two land cover type datasets from 2000 to 2018 to investigate and compare the spatiotemporal characteristics of the changes in vegetation and land cover types of the two cities. We found that the trend of vegetation change was mainly affected by the change in land cover types, while the interannual fluctuation of vegetation change was likely related to the extreme climate events caused by El Niño‐Southern Oscillation events. However, different urbanization strategies led to opposite vegetation change trends in Bangkok and Shenzhen after 2005. With urbanization, the vegetation coverage (Pv) of Shenzhen increased from 48% in 2000 to 62% in 2018. The total urban green spaces (except croplands) of Shenzhen have remained above 33% of the total area since 2006. However, the total urban green space in Bangkok accounted for only 8% of the total area in 2018, which was even lower than the area percentage of Shenzhen's forests in the same year. Rapid urbanization without adequate urban green spaces caused a decreasing trend of Pv in Bangkok. Green development under the Belt and Road Initiative requires serious considerations of environmental quality and urban livability during the rapid urbanization.

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Section: Discussionmentioning

confidence: 99%

Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

et al. 2020

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“…Destruction of vegetation by human activities was mainly reflected in urban expansion and desertification. Accelerated urbanization has led to problems such as LUCC change [85], landscape fragmentation [86], and degradation of ecological services [87]. Further research is needed to determine the means by which damage to vegetation during the process of urbanization can be reduced.…”

Section: Suggestions For Vegetation Restorationmentioning

confidence: 99%

Influences of Climate Change and Human Activities on NDVI Changes in China

et al. 2021

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The spatiotemporal evolution of vegetation and its influencing factors can be used to explore the relationships among vegetation, climate change, and human activities, which are of great importance for guiding scientific management of regional ecological environments. In recent years, remote sensing technology has been widely used in dynamic monitoring of vegetation. In this study, the normalized difference vegetation index (NDVI) and standardized precipitation–evapotranspiration index (SPEI) from 1998 to 2017 were used to study the spatiotemporal variation of NDVI in China. The influences of climate change and human activities on NDVI variation were investigated based on the Mann–Kendall test, correlation analysis, and other methods. The results show that the growth rate of NDVI in China was 0.003 year−1. Regions with improved and degraded vegetation accounted for 71.02% and 22.97% of the national territorial area, respectively. The SPEI decreased in 60.08% of the area and exhibited an insignificant drought trend overall. Human activities affected the vegetation cover in the directions of both destruction and restoration. As the elevation and slope increased, the correlation between NDVI and SPEI gradually increased, whereas the impact of human activities on vegetation decreased. Further studies should focus on vegetation changes in the Continental Basin, Southwest Rivers, and Liaohe River Basin.

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“…Coarse-scale studies overlook important information that may be essential for management. Thus, it is necessary to conduct detailed and high-resolution studies, essential to disentangle service-dependent and identify climate change impacts (Cord et al 2017 ; Mao et al 2019 ; Xu et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity and future exposure of ecosystem services to climate change on the Tibetan Plateau of China

et al. 2021

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Context Climate change has imposed tremendous impacts on ecosystem services. Recent attempts to quantify such impacts mainly focused on a basin or larger scale, or used limited time periods that largely ignore observations of long-term trends at a fine resolution, thereby affecting the recognition of climate change’s effect on ecosystem services. Objectives This study conducts a detailed and spatially explicit recognition of climate change’s effect on ecosystem services and provides an intuitive map for decision-making and climate change adaptation planning. Methods We used long-term time series of ecosystem service assessments and various future climate scenarios to quantify the sensitivity and future exposure of ecosystem services to climate change on the Tibetan Plateau. Results Carbon sequestration (CS) and habitat quality experience significant growth, while water retention did not show any trend. Sensitivity patterns of these ecosystem services vary largely. For CS, more than half of the pixels showed a positive sensitivity to climate change, even though the degree of sensitivity is not high. There is substantial spatial heterogeneity in the exposure of ecosystem services to future climate changes, and high levels of future climate change increase the intensity of exposure. Conclusions This study illustrates the complex spatial association between ecosystem services and climatic drivers, and these findings can help optimize local response strategies in the context of global warming. For example, the existing protected areas have notable conservation gaps for disturbance of future climate change on ecosystem services, especially in the southeastern part of the study area. Supplementary Information The online version contains supplementary material available at 10.1007/s10980-021-01320-9.

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Identification of the geographical factors influencing the relationships between ecosystem services in the Belt and Road region from 2010 to 2030

Cited by 55 publications

References 67 publications

Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

Influences of Climate Change and Human Activities on NDVI Changes in China

Sensitivity and future exposure of ecosystem services to climate change on the Tibetan Plateau of China

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