Urban expansion induced loss of natural vegetation cover and ecosystem service values: A scenario-based study in the siliguri municipal corporation (Gateway of North-East India)

Basu, Tirthankar; Das, Ketan; Pereira, Paulo

doi:10.1016/j.landusepol.2023.106838

Cited by 18 publications

(4 citation statements)

References 87 publications

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“…Urban green space is one of the important components of carbon sink function in urban ecosystems 37 . According to the conclusion in “ Comparison of the InVEST model and the CASA model ” section and previous studies 39 – 43 , the carbon storage of urban green space is jointly affected by social factors and natural factors (Fig. 7 ).…”

Section: Discussionmentioning

confidence: 75%

“…7 ). From the perspective of social factors, the encroachment of construction land on green space, the change of soil structure, deforestation, and urban planting will significantly change the carbon storage of urban green space in a short period of time, resulting in a significant decrease in the carbon storage of urban green space on a long-term scale and a fluctuating trend on a short-term scale 39 – 41 . From the perspective of natural factors, the change in urban climate caused by the rain island effect, the maintenance of the optimal temperature of vegetation by the heat island effect, and the enrichment of urban green space structure also affect the growth and development of vegetation to a certain extent and thus lead to the change in carbon storage of urban green space 42 , 43 .…”

Section: Discussionmentioning

confidence: 99%

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Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Wang,

Mo,

et al. 2024

Sci Rep

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Urban green space is a direct way to improve the carbon sink capacity of urban ecosystems. The carbon storage assessment of megacity green spaces is of great significance to the service function of urban ecosystems and the management of urban carbon zoning in the future. Based on multi-period remote sensing image data, this paper used the CASA model and the InVEST model to analyze the spatio-temporal variation and driving mechanism of carbon storage in Shenzhen green space and discussed the applicability of the two models to the estimation of carbon storage in urban green space. The research results showed that, from 2008 to 2022, in addition to the rapid expansion of construction land, the area of green space and other land types in Shenzhen showed a significant decrease trend. The estimation results of the carbon storage model showed that the carbon storage of green space shows a significant trend of reduction from 2008 to 2022, and the reduction amounts are 0.8 × 106 t (CASA model) and 0.64 × 106 t (InVEST model), respectively. The evaluation results of the model show that, in megacities, the spatial applicability of InVEST model is lower than that of CASA model, and the CASA model is more accurate in estimating the carbon storage of urban green space. The research results can provide a scientific basis for the assessment of the carbon sink capacity of megacity ecosystems with the goal of "dual carbon".

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Section: Discussionmentioning

confidence: 75%

Section: Discussionmentioning

confidence: 99%

Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Wang,

Mo,

et al. 2024

Sci Rep

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“…As a result, LULC change is recognized globally as a major driver of biodiversity loss and the decline of ecosystem services [ 9 ]. Understanding the relationship between LULC and ecosystem service values (ESVs) is essential for planning resource management [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Land use Land cover dynamics on Ecosystem services in maze national park and its environs, southwestern Ethiopia

Simeon,

Wana

2024

Heliyon

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“…Cao et al [9] assessed the relationships between ESV and regional urbanization characteristics as well as economic growth in China between 2000 and 2015. Basu et al [10] estimated the loss of ESV due to urban expansion using the urban growth prediction model and the Markov Chain and Multi-Layer Perceptron Neural Network in the Gateway of North-East India. Although great efforts have been made to the changes in ESV at the regional and/or national ecosystems, the changes in ESV in some specific and fragile ecosystems, such as the karst area, remain largely unclear.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Heterogeneity of Ecosystem Service Value Driven by Nature-Human Activity-Policy in a Representative Fragile Karst Trough Valley, SW China

Zeng,

Zhang,

et al. 2024

Land

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Most studies on the ecosystem service value (ESV) only focus on spatial/temporal heterogeneity or single driving effects, but little is known about the combined effects of nature-human activity-policy on ESV in the fragile karst areas. This study aimed to investigate the spatial-temporal heterogeneity of ESV between 1990 and 2020 in a representative karst trough valley in SW China. The dynamic degree of land use, the land-use transfer matrix, sensitive analyses, Geo-Detector, and Hot- and cold-spots analyses were used to determine the interactions between ESV and the natural, human activity, and policy-driving factors. The results showed that from 1990 to 2020, forestland accounted for more than 62.32% of the total area, and construction land increased continuously as a result of urbanization. The conversion from forestland to cropland dominated the land-use transfer. The ESV decreased sharply between 1990 and 2000 and slowly increased from 2000 to 2020, causing a total reduction of 562.91 million yuan in ESV, due largely to the occupation of forestland and grassland by cropland. Soil type (8.00%) had the largest explanation rate for the spatial-temporal heterogeneity of ESV, followed by population density (7.71%) and altitude (6.34%). Policy factors not only markedly influenced the ecosystem structure and function and tradeoff and synergy but also regulated their interactions with other driving factors. Our results have great significance for understanding the interaction effect of natural sources and human activities on changes in ESV in karst areas.

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Urban expansion induced loss of natural vegetation cover and ecosystem service values: A scenario-based study in the siliguri municipal corporation (Gateway of North-East India)

Cited by 18 publications

References 87 publications

Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Impacts of Land use Land cover dynamics on Ecosystem services in maze national park and its environs, southwestern Ethiopia

Spatial-Temporal Heterogeneity of Ecosystem Service Value Driven by Nature-Human Activity-Policy in a Representative Fragile Karst Trough Valley, SW China

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