Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China

Lyu, Rongfang; Zhang, Jianming; Xu, Minghui; Li, Jijun

doi:10.1016/j.landusepol.2018.05.022

Cited by 176 publications

(84 citation statements)

References 58 publications

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“…LULC, slope); most of the input coefficients were derived from empirical data (Yang, Zhang, Yang, & Yang, 2009). For details refer to Lyu, Zhang, Xu, and Li (2018).…”

Section: Nutrient Retentionmentioning

confidence: 99%

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

et al. 2019

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A B S T R A C TUnderstanding the spatial distributions of multiple ecosystem services (ESs), their associations, and their underlying socio-ecological contributing factors is critical for ES management. Using the city belt along the Yellow River in Ningxia, northwestern China, as a case study, this study quantified the spatial distribution of six ESs (food production, carbon sequestration, carbon storage, nutrient retention, sand fixation and recreational opportunity), analyzed the synergy and trade-off relations among them through correlation analysis, classified ES bundles through a self-organizing map method (SOM), explored the impacts of socio-ecological factors on the ESs through Ordinary Least Square regression (OLS) and Geo-detector analysis, delineated socio-ecological clusters using the SOM, and characterized the relationship between ES bundles and driver clusters through overlap analysis. The results suggest that spatial associations among ESs can be predicted by their driving mechanisms. Synergy relations existed among crop production, carbon sequestration, carbon storage and nutrient retention, and these were impacted by similar driving mechanisms. Synergy also existed between sand fixation and recreational opportunity, but significant differences existed in their driving mechanisms. Trade-off relations were shown between ESs in these two groups at the whole region scale. Three bundles were detected among the six ESs: bundle 1, characterized by recreational opportunity of high supply and other services of limited supply, was located in the transitional region between the central plain and the fringe mountains, and mainly driven by climate and proximity factors; bundle 2, characterized by high sand fixation, medium carbon storage and limited other services, was located in the northwestern and southern mountains and driven by climate and geography factors; bundle 3, characterized by high food production, carbon sequestration, carbon storage and nutrient retention of medium supply and other two services of limited supply, was located in the central plain and driven by vegetation coverage and proximity factors. Human activities can partly overcome the limitations of ecological conditions, thus specific strategies for different regions are proposed to maintain and improve ESs under global climate change.

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“…LULC, slope); most of the input coefficients were derived from empirical data (Yang, Zhang, Yang, & Yang, 2009). For details refer to Lyu, Zhang, Xu, and Li (2018).…”

Section: Nutrient Retentionmentioning

confidence: 99%

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

et al. 2019

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“…Finally, the negative consequences of urbanization are not limited to the decrease in the quantity of forested areas, but also alter the quality of forests, change their structure and deplete the ecosystem services they provide (DeFries and Pandey Lyu et al 2018). Defragmentation of the forested areas activates the "edge erosion" when the forested areas neighboring urban areas get exposed to high anthropogenic load resulting in biodiversity loss and simplification of the vertical structure (Rysin et al 2004).…”

Section: Resultsmentioning

confidence: 99%

Land-Use Change in New Moscow: First Outcomes after Five Years of Urbanization

Vasenev

Yaroslavtsev

Vasenev

et al. 2019

GES

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Urbanization coincides with remarkable environmental changes, including conversion of natural landscapes into urban. Moscow megapolis is among the largest urbanized areas in Europe. An ambitious New Moscow project expanded the megapolis on extra 1500 km2 of former fallow lands, croplands and forests. The research aimed to monitor land use changes in New Moscow between 1989 and 2016 years. Landsat 5 and Landsat 8 images (30 m spectral resolution) and Sentinel – 2 images (10 m spectral resolution) were analyzed. All the images were collected for the similar summer period (from June to August). The images were preprocessed and classified by Semi-Automatic Classification Plugin in open source QGIS software to derive land cover maps. The following land cover classes were identified: water, built-up areas, bare soils, croplands and forested areas, and the total area covered by each class was estimated. The following land-use change pathways were reported: 1) reduction of the forested areas by 2.5% (almost 2000 ha) between 1989 and 1998; 2) partial reforestation (more than 1000 ha) and abandonment of croplands (more than 3000 ha) between 1998 and 2010 and 3) intensive urbanization (more than 11000 ha) between 2010 and 2016. New build-up areas and infrastructures were constructed on former forested areas and croplands. Although, some uncertainties in the absolute estimates are expected due to the classification errors, the general urbanization trend can be clearly distinguished as a principal outcome after the five years of New Moscow project.

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“…Urbanization brings population and economic growth, but it also leads to ecological problems [43][44][45]. Many studies have shown that urbanization has an impact on carbon storage in terrestrial ecosystems [36][37][38][39][40][41]. In contrast to previous studies, this study comprehensively analyzes the "spatial" and "temporal" changes in carbon stocks from the urbanization process.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Dynamics of Carbon Storage in Response to Urbanization: A Case Study in the Su-Xi-Chang Region, China

Zheng

et al. 2019

Processes

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Terrestrial ecosystem carbon storage plays an important role in mitigating global warming. Understanding the characteristics and drivers of changes in carbon storage can provide a scientific basis for urban planning and management. The objective of this study was to reveal the ways in which urbanization influences the spatial and temporal variations in carbon storage. In this study, we investigated the changes in carbon storage from 1990–2000, 2000–2010, and 2010–2018 in the Su-Xi-Chang region, which is a typical fast-growing urban agglomeration in China, based on the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. Moreover, we analyzed the impacts of urbanization-induced land-use changes on carbon storage. The results showed that in terms of space and time, the greatest loss of carbon storage occurred in developing urban areas and during the rapidly urbanizing stage. Our study revealed that the reduction in cultivated land was the greatest contributor to carbon stock losses. In addition, we found that some types of land use conversion can enhance carbon storage. Based on the results, some suggestions are proposed aimed at promoting urban sustainable development. This study also provides insights into enhancing urban sustainability for other urban agglomerations throughout the world.

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Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China

Cited by 176 publications

References 58 publications

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

Land-Use Change in New Moscow: First Outcomes after Five Years of Urbanization

Spatiotemporal Dynamics of Carbon Storage in Response to Urbanization: A Case Study in the Su-Xi-Chang Region, China

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