Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China

Zhu, Congmou; Zhang, Xiaoling; Zhou, Mengmeng; He, Shilin; Gan, Muye; Yang, Lixia; Wang, Ke

doi:10.1016/j.ecolind.2020.106654

Cited by 320 publications

(182 citation statements)

References 46 publications

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“…To simplify the complicated urbanization process, it was divided into three aspects: economic urbanization, population urbanization, and land urbanization according to the existing research 35 . The NTL, POP, and LUR were used to represent the economic development, population scale, and land urbanization level of the city.…”

Section: Geographically Weighted Regressionmentioning

confidence: 99%

“…Urbanization is the main driving factor that puts tremendous pressure on biodiversity conservation 3 . Since the implementation of the reform and opening-up policy, China's urbanization rate has increased rapidly, from correlation between urban sprawl and habitat quality 34,35 . The lack of comparative studies over multiple time periods makes it difficult to reveal the trends in such correlations for use in the process of policy changes.…”

Section: Introductionmentioning

confidence: 99%

“…Indicators, such as HQCI and CI, that can quantitatively express the above relationship, can effectively reflect the average value and total amount of habitat loss caused by the growth of construction land 2 . GWR is improved based on OLS and constructs local regression equations at each research unit, which can reflect the interaction between different variables in the ecosystem from the perspective of spatial differentiation 35,37,38 . This can provide more spatial heterogeneity information and decision-making references for urban green development.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we used the Pearl River Delta as the study area. Based on existing cases, the night light index, population density, and land urbanization rate were selected as economic development indicators 35 . Using river basins as the research unit, the coupling between urbanization and habitat quality was quantitatively evaluated using GWR and a self-organizing feature mapping neural network (SOFM).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatiotemporal Effects of Urban Sprawl on Habitat Quality in the Pearl River Delta from 1990 To 2018

Luo

et al. 2021

Preprint

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Since the implementation of the Chinese economic reforms, economic development in the coastal cities has resulted in serious degradation of habitat quality; however, the concept of "ecological civilization" has improved this situation. For quantitative analysis of the correlation between the Pearl River Delta urban expansion and changes in habitat quality under the influence of the policy, we first analyzed the habitat quality change based on the InVEST model and then measured the impact of construction land expansion on the habitat quality through habitat quality change index (HQCI) and contribution index (CI) indicators. Finally, the correlation between urbanization level and habitat quality was evaluated using geographically weighted regression (GWR) and the Self-organizing feature mapping neural network (SOFM). The results indicated that: (1) during the study period, the habitat quality index decreased from 0.7181 to 0.6672 owing to urban expansion, and the decrease was most significant from 2000 to 2010. (2) The urbanization index had a negative effect on the habitat quality, but this improved after 2000, reflecting the positive effect of policies such as "ecological civilization construction" (3) The importance of ecological civilization varies greatly among cities in the study area: Shenzhen, Dongguan, Foshan, and Zhongshan have the best level of green development. These results reflect the positive role of policies in the prevention of damage to habitat quality caused by economic development and provide a reference for the formulation of sustainable urban development policies with spatial differences.

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Section: Geographically Weighted Regressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatiotemporal Effects of Urban Sprawl on Habitat Quality in the Pearl River Delta from 1990 To 2018

Luo

et al. 2021

Preprint

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“…Habitat quality (HQ) refers to the ability of an ecosystem to provide appropriate conditions for the persistence of individuals and populations [11,12]. As an indicator of regional biodiversity and ecosystem service levels [13], the evaluation of HQ began in the mid-1960s. With the development of information technology, the research on HQ evaluation in the 1990s progressed in theory and technology.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)

Chen

Wei

et al. 2021

Land

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This paper, examining the Pilot Free Trade Zone Lin-Gang Special Area in China (Shanghai), identifies the relationship between urban expansion and habitat change and analyzes the influence mechanism of habitat quality (HQ) on spatiotemporal distribution. The results show the following: (1) From 2002 to 2019, the HQ in the study area decreased significantly, and the spatial differences gradually expanded over time. The HQ was low in the southwest and high in the northeast, and low-level habitats gradually moved to the southwest. This spatiotemporal evolutionary law was consistent with the local government's 2003–2020 plans, which are composed of the joint development of a logistics park in the north, the Lin-Gang industrial zone in the west, and Shanghai port in the south. (2) Due to the interspersed distribution of high and low habitats caused by urban development and expansion, Moran's index in spatial autocorrelation decreased over time, which means the spatial agglomeration of HQ decreased and that homogeneity increased. (3) The spatial distribution of HQ was quantified by landscape analysis. The results showed that the fragmentation degree in high-level habitat areas increased with time, while the middle-level habitat areas first increased and then decreased, and the low-level habitat areas displayed the opposite change in trend to that of the middle habitat.

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Spatial–temporal evolution and correlation analysis between habitat quality and landscape patterns based on land use change in Shaanxi Province, China

Gu,

Yan,

et al. 2023

Ecology and Evolution

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Regional habitat quality is an important reflection of ecosystem services and ecosystem health. Exploring the characteristics of habitat quality changes and revealing the vulnerability of regional ecosystems caused could provide reference for the improvement of ecological service functions and the protection of regional ecological environment. Based on remote sensing data of Shaanxi Province from 2000 to 2015, InVEST model and grid analysis were used to analyze the evolution characteristics of habitat quality and landscape pattern, and spatial autocorrelation was also used to analyze the spatial correlation and temporal evolution characteristics. The results showed: (1) Arable land, grassland, and forest land were the main landscape types in Shaanxi province, accounting for more than 94% of the total area, and the arable land and unused land showed a decreasing trend, while the grassland and forest land showed an increasing trend, and the proportion of construction land continued to increase with the rapid economic development from 2000 to 2015; (2) The spatial distribution characteristics of habitat quality was similar to land use cover change, which was “high in the southern and central forest areas, low in the northern sandy land and central urban agglomeration”, and habitat quality value showed a steady increase, indicating that the habitat quality was getting better; (3) The landscape pattern index values of Guanzhong Plain urban agglomeration changed significantly, which tended to be fragmented, and the landscape types were more diverse and uniform; (4) There were obvious spatial correlation between habitat quality and landscape pattern, and the spatial differentiation of clustering was obvious, and the clustering effect of habitat quality and landscape pattern characteristics would weaken with the increase in urbanization degree. The analysis of the spatial association between habitat quality and landscape pattern could provide scientific support for ecological protection and landscape planning.

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Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China

Cited by 320 publications

References 46 publications

Spatiotemporal Effects of Urban Sprawl on Habitat Quality in the Pearl River Delta from 1990 To 2018

Spatiotemporal Effects of Urban Sprawl on Habitat Quality in the Pearl River Delta from 1990 To 2018

Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)

Spatial–temporal evolution and correlation analysis between habitat quality and landscape patterns based on land use change in Shaanxi Province, China

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