Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: a case study in Beijing City, China

Peng, Jian; Sui, Hong; Wu, Wenhuan; Liu, Yanxu; Wang, Yanglin

doi:10.1007/s10980-015-0319-9

Cited by 129 publications

(71 citation statements)

References 48 publications

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“…Similar results were reported by previous studies based on different methods. For example, an analysis of NPP dynamics conducted by Peng et al [18] showed that urbanization resulted in a lasting and observable loss of NPP over time and space. From the perspective of landscape patterns, Xia et al [44] suggested that the urban area in Beijing city nearly doubled during 1997-2002, and farmland decreased rapidly as a result of urbanization.…”

Section: Driving Forces Of the Temporal Variability Of G-ndvimentioning

confidence: 99%

“…One such example is that we have to rely on the assumption that the trend rate of G-NDVI Z1-Z2 is mainly caused by urban land expansion rather than other anthropogenic activities (i.e., agricultural activities and greening measures) [18]. Because our sample size is big enough relative to the influences of these minor factors, we feel that this assumption is pretty reasonable.…”

Section: Driving Forces Of the Temporal Variability Of G-ndvimentioning

confidence: 99%

“…Based on MODIS-1 km NPP products, Fu et al [15] showed a total NPP loss of approximately 167 × 106 g·C from 2001 to 2006 in Guangzhou city, China, while the spatiotemporal pattern of NPP showed obvious variations in local areas. A different approach is to use NDVI to estimate fractional vegetation cover [16], or directly applied to investigate the changes of vegetation cover [17,18]. Based on GIMMS NDVI datasets, Eastman et al [19] indicated that the changing trend of NDVI during 1982-2011 exhibited significant spatial differences over global land surfaces.…”

Section: Introductionmentioning

confidence: 99%

“…Sun et al [28] suggested that increasing precipitation led to an improvement in the vegetation cover, whereas temperature was not a limiting factor in arid and semi-arid regions of China. In cities, anthropogenic activities could impact vegetation cover in a positive or negative way [18,29]. On the one hand, large patches of fertile cropland and forest were transformed to urban constructed lands during the process of urbanization [30,31]; on the other hand, people have recognized the importance of vegetation in urban ecosystems, and have given more and more attention to urban greening plans [8,32].…”

Section: Introductionmentioning

confidence: 99%

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Responses of Vegetation Cover to Environmental Change in Large Cities of China

Jin

Wang

2018

Sustainability

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Vegetation cover is crucial for the sustainability of urban ecosystems; however, this cover has been undergoing substantial changes in cities. Based on climate data, city statistical data, nighttime light data and the Normalized Difference Vegetation Index (NDVI) dataset, we investigate the spatiotemporal variations of climate factors, urban lands and vegetation cover in 71 large cities of China during 1998-2012, and explore their correlations. A regression model between growing-season NDVI (G-NDVI) and urban land proportion (PU) is built to quantify the impact of urbanization on vegetation cover change. The results indicate that the spatiotemporal variations of temperature, precipitation, PU and G-NDVI are greatly different among the 71 cities which experienced rapid urbanization. The spatial difference of G-NDVI is closely related to diverse climate conditions, while the inter-annual variations of G-NDVI are less sensitive to climate changes. In addition, there is a negative correlation between G-NDVI trend and PU change, indicating vegetation cover in cities have been negatively impacted by urbanization. For most of the inland cities, the urbanization impacts on vegetation cover in urban areas are more severe than in suburban areas. But the opposite occurs in 17 cities mainly located in the coastal areas which have been undergoing the most rapid urbanization. Overall, the impacts of urbanization on G-NDVI change are estimated to be −0.026 per decade in urban areas and −0.015 per decade in suburban areas during 1998-2012. The long-term developments of cities would persist and continue to impact on the environmental change and sustainability. We use a 15-year window here as a case study, which implies the millennia of human effects on the natural biotas and warns us to manage landscapes and preserve ecological environments properly.

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Section: Driving Forces Of the Temporal Variability Of G-ndvimentioning

confidence: 99%

Section: Driving Forces Of the Temporal Variability Of G-ndvimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Responses of Vegetation Cover to Environmental Change in Large Cities of China

Jin

Wang

2018

Sustainability

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“…Relevant researches were also conducted in the BTH region. By developing the relationship between net primary productivity (NPP) and grain yield, Peng et al [17] quantified and mapped the grain production of farmland and found that the main high-production areas were mainly located in the central plain of the BTH region and the eastern piedmont plain. The plain had low soil retention because of the low potential soil loss in farmland.…”

Section: Introductionmentioning

confidence: 99%

Spatial Heterogeneity of Typical Ecosystem Services and Their Relationships in Different Ecological–Functional Zones in Beijing–Tianjin–Hebei Region, China

Xie

Zhou

et al. 2017

Sustainability

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Abstract:Recognizing changes in ecosystem services (ES) and their relationships is the basis of achieving sustainable regional development. Regional collaborative development has become the core strategy of the development of the Beijing-Tianjin-Hebei (BTH) region. However, sub regions have different ecological changes and relationships. Here, we quantify and map ES, including water yield, sediment retention, carbon sequestration and grain productive capacity in 2000, 2005, 2010 and 2015, using several biophysical models and explore the relationships of spatial correction, trade-offs and synergies among multiple ES in different spatial scales. Results across the four years show that the quality and variation tendency of ES from each region are spatially heterogeneous. The relationship between ES that are not significant in the entire region shows different correlations in individual ecological-functional zones. From the perspective of regional disparity, the effect of land use factor and correlative mechanisms among ES are analyzed. To observe the spatiotemporal variations and relationships of ES in individual regions, land use management policies are proposed on the basis of the results of the relationships among ES.

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The dynamic impact of landscape urbanization on ecosystem service multifunctionality in the Chengdu–Chongqing urban agglomeration: A panel VAR approach

Kang

Yong

2023

Land Degrad Dev

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Understanding the influence mechanism of landscape urbanization on ecosystem services (ESs) will provide useful guides for ecosystem conservation and urban sustainable management. However, the models used in existing studies tended to evaluate the various impacts of landscape urbanization on ES in the same period and fail to reveal the dynamic response of ES to landscape urbanization and the contribution of each impact variable, which is not conducive to the long‐term planning and management of urban ecosystems. To fill the gap, based on the panel data of the 141 counties in the Chengdu–Chongqing urban agglomeration (CCUA) from 2000 to 2015, this study applied the panel vector autoregressive (PVAR) model to investigate the dynamic impact of different aspects (i.e., urban scale, density, shape, and compactness) of landscape urbanization on ES multifunctionality (ESM) and identified the key impact factors. The results showed that (1) the proportion of high‐level ESM decreased by 9.13% in 2000–2010 and then increased by 19.14% in 2010–2015; (2) the ESM of the CCUA existed significant spatial agglomeration, and the high‐level areas were concentrated in the southwestern mountains, while the low‐level areas were mainly located in the central plains and urban areas; (3) There was a strong non‐linear relationship between landscape urbanization and ESM, with variability in the intensity and direction of ESM's response to landscape urbanization shocks as time. Specifically, urban landscape scale and shape (i.e., percentage of landscape, largest patch index (LPI), and landscape shape index) were generally more influential on the ESM than urban landscape density and compactness (i.e., patch density and pacth cohesion index), with LPI making the greatest contribution. These findings will help to clarify the dynamic relationship between landscape urbanization and ESM, which could provide important guidance for ecosystem conservation and urban planning.

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Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: a case study in Beijing City, China

Cited by 129 publications

References 48 publications

Responses of Vegetation Cover to Environmental Change in Large Cities of China

Responses of Vegetation Cover to Environmental Change in Large Cities of China

Spatial Heterogeneity of Typical Ecosystem Services and Their Relationships in Different Ecological–Functional Zones in Beijing–Tianjin–Hebei Region, China

The dynamic impact of landscape urbanization on ecosystem service multifunctionality in the Chengdu–Chongqing urban agglomeration: A panel VAR approach

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