Impact assessment of urbanization on vegetation net primary productivity: A case study of the core development area in central plains urban agglomeration, China

Mu, Wenbin; Zhu, Xingyuan; Ma, Weixi; Han, Yuping; Huang, Hai-Jun; Huang, Xiaodong

doi:10.1016/j.envres.2023.115995

Cited by 23 publications

(10 citation statements)

References 82 publications

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“…Although the high quality ecological substrate of MYRYU itself is trying hard to whitewash the overall increase in vegetation GPP in the area, investigations based on the GWTR model confirm that the negative impacts of the LU are in control of the bigger picture in the long term, and that the rapid growth of the main city zone in particular is exacerbating this productivity deprivation. This has been mentioned in previous studies that the effects of deep modification of human settlements on the productivity of vegetation cover systems are significant and sustained over time (Zhong et al, 2021;Muntasir et al, 2022;Mu et al, 2023). The study also further observed some success in the conservation of mountain vegetation.…”

Section: Driving Mechanisms and Spatial Heterogeneity Effect Of Lu On...supporting

confidence: 76%

“…Zafar et al (2023) predicted the future trends in the productive capacity of urban and rural vegetation in a typical Pakistani city and analyzed the long-term impact of urbanization on urban and rural vegetation and environmental vulnerability. Mu et al (2023) estimated the trend of NPP in the Central Plains Urban Agglomeration over the past 40 years, and found that NPP showed a continuous downward trend under rapid urbanization, and that the indirect impact of urbanization on the high-speed developing cities was higher than that of the medium-and low-speed cities. These studies provide support for building sustainable and resilient urban agglomerations and green and sustainable urban planning policies.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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The urgent need to maintain ecosystem provisioning services and achieve urban sustainable development goals has led to a long-standing focus on the driving effects of land urbanization (LU) in the Middle Reaches of the Yangtze River Urban Agglomeration (MRYRU) on vegetation cover system productivity. Previous studies have lacked consideration for the long-term correlation between land urbanization (LU) and the Gross Primary Productivity (GPP) of vegetation, as well as the spatial non-stationarity of LU’s impact in the region. This study is based on land cover remote sensing data and GPP imagery data to monitor the long-term evolution trends of LU and GPP in MRYRU from the perspectives of townships and grids. It further investigates the spatial correlation and clustering characteristics between the two using bivariate spatial autocorrelation method. Additionally, a Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the spatial effects of LU on GPP. The results indicate that the GPP of MRYRU grows to 1572.88gCm-2a-1 with an average annual growth rate of 0.848% from 2000 to 2020. High-value areas are distributed in the central and eastern mountainous of the urban agglomeration, while low-value areas gradually formed an “n”-shaped clustered distribution pattern. The negative spatial autocorrelation between LU and GPP shows a general upward trend, and Low-High is the dominant agglomeration type, concentrated in Hengyang and some mountainous cities in Jiangxi Province. The overall negative impact of land urbanization on GPP in MRYRU is maintained in the spatially nonstationary pattern of driving coefficients, with negative impact areas mostly concentrated in the city’s main city zone and positive impact areas concentrated in the urban agglomeration’s mountainous townships. This study provides support for MRYRU to adopt more resilient land optimization management strategies and vegetation ecological restoration plans.

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Section: Driving Mechanisms and Spatial Heterogeneity Effect Of Lu On...supporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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“…It can be affected by many factors outside the landscape pattern, such as solar radiation, precipitation, vegetation coverage, and so on. In the classical CASA model, a remote sensing model for NPP inversion, these factors were considered, and even more (Potter et al, 1993;Zhang et al, 2022b;Mu et al, 2023). Here, we examined the impact of solar radiation and NDVI on changes in NPP within the Yangtze River Basin.…”

Section: Other Causes Of Changes In Nppmentioning

confidence: 99%

Spatiotemporal pattern of landscape ecological risk in the Yangtze River Basin and its influence on NPP

Jia,

Yu,

et al. 2024

Front. For. Glob. Change

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The rapid development of the social economy and the continuous change in land use have greatly altered the ecological risk of the regional landscape. This study focused on the Yangtze River Basin in China and aimed to examine the temporal and spatial variation characteristics of landscape ecological risk (LER) over a period of 34 years (1982–2015), after determining the optimal sub-watershed scale. Based on the conditional probability framework, the non-linear response of NPP to LER was revealed. Finally, the primary driving factors of LER were explored, and additional potential causes for changes in NPP were discussed. The study findings indicated that the mean annual LER of the Yangtze River Basin exhibited a spatial distribution characterized by high values observed in the western regions and low values in the eastern regions at the optimal sub-basin scale. Specifically, 30.56 and 22.22% of the sub-basins demonstrated a significant upward and downward trend in annual LER, respectively (P < 0.05). The spatial distribution pattern of the mean annual NPP demonstrated high values in the middle region and low values in the western area, with annual NPP significantly increasing in 94.44% of the sub-basins (P < 0.05). The relationship between annual NPP and annual LER was found to be non-linear, indicating that higher annual LER results in a higher probability of median and high values of annual NPP from the perspective of watershed average. Furthermore, climate factors emerged as the main influencing factor of the NPP. Based on these discoveries, upcoming endeavors should concentrate on optimizing landscape formations and executing a judicious distribution of plant species.

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“…At present, the research objects focus on traditional administrative regions, ranging from an international perspective to countries, provinces, cities, and locations within the country [19][20][21][22] China's national-level urban agglomerations such as the Yangtze River Delta urban agglomeration and the Beijing-Tianjin-Hebei urban agglomeration have also attracted widespread attention from domestic and foreign scholars [23][24][25] . A small number of regional urban agglomeration studies measure the green development level of cities by calculating specific industries or factors, such as economic factors 26 , agricultural development 26 , and ecological governance 28 , making it difficult to fully reflect the urban agglomeration`s green development condition.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Spatio-Temporal Evolution Trends and Driving Factors of Green Development in Harbin-Chang urban agglomeration

Tang

Yuan

Tian

2023

Preprint

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As China has entered a new stage of high-quality development, clarifying the mechanism and spatial characteristics of green development for urban agglomerations are critical to sustainable development. Based on the data of 11 major cities in the Harbin-Changchun urban agglomeration (HCUA) from 2010 to 2020, this study constructs an evaluation system of green development index (GDI) is composed of four dimensions, i.e., urban green construction (UGC), industrial green development (IGD), resource and environmental carrying capacity (RECC), and technological innovation support (TIS). Furthermore, using the entropy weight method to obtain the weights of evaluation indicators. And then, the comprehensive index calculation is used to evaluate the GDI. The driving factors of each level of GDI are determined by the Pearson correlation coefficient. The results infer some novel findings as follows: (1) The overall tendency of the GDI of the HCUA has gradually increased from 0.358 in 2010 to 0.379 in 2020 which is at the average level. The dimension of TIS shows the highest rate of contribution while IGD and RECC show a fluctuating trend over the time window. (2) The GDI in the HCUA exhibits a patchy clustering differentiation feature that spreads from the central area to the surrounding areas with a "high in the south and low in the north" pattern. Specifically, Changchun, Harbin, and Daqing form an "inverted triangle" structure in geographical location to drive the green development of neighboring areas. (3) The core cities of the HCUA, Changchun, and Harbin, show a much higher level than the other cities. Jilin and Daqing are at the average level, and besides, the rest of the cities of GDI are at the poor level with significant fluctuations in ranking. (4) There are different driving factors between each level of GDI. For cities with good and average levels should focus on protecting resources and the environment. Meanwhile, cities with poor level of GDI need to improve IGD to optimize the urban green structure. Thus, it is suggested to strengthen the flow of factors and implement differentiated strategies to promote coordinated development and spatial clustering.

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Impact assessment of urbanization on vegetation net primary productivity: A case study of the core development area in central plains urban agglomeration, China

Cited by 23 publications

References 82 publications

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Spatiotemporal pattern of landscape ecological risk in the Yangtze River Basin and its influence on NPP

Assessment of Spatio-Temporal Evolution Trends and Driving Factors of Green Development in Harbin-Chang urban agglomeration

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