Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China

Tan, Kun; Zhou, Shujing; Li, Erzhu; Du, Peijun

doi:10.1007/s11707-014-0454-7

Cited by 15 publications

(6 citation statements)

References 23 publications

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“…Potter et al estimated the carbon flux of the ecosystem of Yellowstone National Park using MODIS data based on the CASA model (Potter et al, 2011). Tan et al calculated NPP of Xuzhou, China, and the results showed that the average NPP showed a decreasing trend from 2001 to 2010 (Tan et al, 2015). Zhu et al estimated NPP based on the CASA model in the Greater Khingan Mountain region and analyzed the temporal-spatial variability characteristics of net primary productivity during the period from 1982 to 2013 (Xie et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Long-Term Spatiotemporal Variation of Net Primary Productivity and Its Correlation With the Urbanization: A Case Study in Hubei Province, China

Zhang

2022

Front. Environ. Sci.

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Net primary productivity (NPP) is a critical component in terrestrial ecosystem carbon cycles. Thus, quantitatively estimating and monitoring the dynamics of NPP have become key aspects for exploring the carbon cycle of terrestrial ecosystems. Anthropogenic activity, such as urbanization, has significant effects on NPP and increases pressure on the natural resources of a specific region. However, to date, although many studies have focused on the relationship between NPP variation and urbanization, they usually ignored any differences at a long-term spatiotemporal variation of urbanization factors, which led to the insufficient understanding of the urbanization-induced impacts on NPP. As a result, this study effectively explored the spatiotemporal variation of NPP from 2001 to 2012 and its corresponding relationship with urbanization, taking the Hubei Province in China as a case study area. To clarify the degree of urbanization, the spatial distribution and temporal variation of population and gross domestic product (GDP) were simulated based on the elevation-adjusted human settlement index and nighttime lights data. The major results showed that high NPP areas were located in those highlands with widespread woodland, in which the NPP value continued to grow during the period. The low NPP areas were mainly distributed in urban areas, and the NPP value had a continued and visible loss. The population and GDP both had a strong correlation with NPP. The significant negative correlation was concentrated in the center of Hubei, with a dense population and developed economy. In order to further realize their complex relationship, the correlation coefficients between the annual NPP and the two factors from 2001 to 2012 were calculated, and the changing trends were investigated. Overall, the findings of this study may provide a reference for studies on the interaction between ecological environment and socioeconomic processes under the background of global rapid urbanization.

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Section: Introductionmentioning

confidence: 99%

Long-Term Spatiotemporal Variation of Net Primary Productivity and Its Correlation With the Urbanization: A Case Study in Hubei Province, China

Zhang

2022

Front. Environ. Sci.

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“…The productivity of new cropland can compensate for the losses attributable to urbanization 16 . Several studies have been conducted in the regions and major metropolitan areas undergoing rapid urbanization in China 5,17–21 . Specifically, many studies have employed transition matrices coupled with average values of several years to investigate NPP variation in relation to the urbanization.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, many studies have employed transition matrices coupled with average values of several years to investigate NPP variation in relation to the urbanization. However, the averaged values can lead to significant errors in characterizing urbanization processes 6,17,22 as an urban expansion is a dynamic process. Thus, averaged urbanization measurements cannot objectively reflect NPP losses that have occurred during the corresponding years.…”

Section: Introductionmentioning

confidence: 99%

Effects of urbanization on productivity of terrestrial ecological systems based on linear fitting: a case study in Jiangsu, eastern China

Zou

et al. 2019

Sci Rep

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The terrestrial ecosystem productivity and foundation of regional ecosystem services have been significantly influenced by recent urbanization processes. This study assesses the changes in terrestrial ecosystem productivity in Jiangsu from the years of 2000 to 2015 in response to the urbanization. A linear model that incorporates the traditional equalization method is proposed to improve the estimation accuracy of net primary productivity (NPP) loss. Results revealed that the land area of urban construction expanded rapidly during the research period to encompass an area of 8672.8 km2. The rate of expansion was highest during 2005–2010. Additionally, the expansion rate of urban construction land was considerably higher in southern Jiangsu compared to the northern areas. The NPP exhibited a rising tendency from the year of 2000 to 2015, and varied from 33.30 to 40.23 Tg C/y. It was higher in the central parts, which include the cities of Yancheng and Nantong. The increase in urban construction land has resulted in a significant reduction in the terrestrial ecosystem productivity, i.e. a cumulative NPP loss of 2.55–2.88 Tg C during the research period. The NPP losses due to the conversion from cropland to constrction land were the highest, followed by the wetland. The work in this paper indicates that the rate of future productivity losses in terrestrial ecosystem in northern Jiangsu would be faster than the southern areas.

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“…Since the NPP value can be estimated by LUE models, such as the CASA model, many remote sensing based plant productivity estimates focus on NPP value estimates [41], [49], [50], [51]. In fact, because of the soil respiration, the vegetation carbon sinks need to be characterized by NEP [4], [39].…”

Section: Nep Estimation Results Based On Coupled Modelmentioning

confidence: 99%

Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model

Qiu

Liang

Wang

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China

Cited by 15 publications

References 23 publications

Long-Term Spatiotemporal Variation of Net Primary Productivity and Its Correlation With the Urbanization: A Case Study in Hubei Province, China

Long-Term Spatiotemporal Variation of Net Primary Productivity and Its Correlation With the Urbanization: A Case Study in Hubei Province, China

Effects of urbanization on productivity of terrestrial ecological systems based on linear fitting: a case study in Jiangsu, eastern China

Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model

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