Impact of agricultural irrigation and resettlement practices on carbon storage in arid inland river basins: A case study of the Shule river basin

Zhu, Xiuwei; Pan, Jinghu; Wu, Xueting

doi:10.1016/j.heliyon.2024.e25305

Cited by 2 publications

(1 citation statement)

References 42 publications

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“…27,34 . The OPGD model based on R4.3 automatically selects the optimal spatial discretization method to handle continuous variables, thus overcoming the subjectivity of manual discretization 35 and significantly improving the accuracy and applicability of factor detection results 36,37 . Therefore, in this study, 9 were ultimately selected factors from both natural and anthropogenic perspectives, including DEM (X1), slope (X2), annual average precipitation (X3), annual average temperature (X4), NDVI (X5), nighttime light index (X6), human footprint index (X7), GDP (X8), and population density (X9).…”

Section: Urban Development (Cds)mentioning

confidence: 99%

Response of carbon storage to land use change and Multi-Scenario predictions in Zunyi, China

Liu,

Mei,

Yue

et al. 2024

Preprint

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Evaluating and predicting how carbon storage (CS) responds to land use change can optimize future spatial layouts and coordinate the relationship between land use and ecosystem services. This study aimed to explore the spatiotemporal evolution of CS in Zunyi from 2000 to 2020, investigate the driving factors of CS, and predict spatiotemporal changes under multiple scenarios in 2030. Woodland (> 62%) and farmland (> 30%) are the main land use types in Zunyi. The land use changes included decreases in farmland (-0.92%) and grassland (-0.76%) and an increase in construction land (+ 0.92%). In 2000, 2010, and 2020, CS in Zunyi was 658.77×10^6 t, 661.44×10^6 t, and 658.35×10^6 t, respectively, initially increasing then decreasing. Woodland, farmland and grassland conversions to construction land and water were primarily responsible for CS loss. The NDVI is the main driving factor influencing the spatial pattern of CS (q > 10%). Furthermore, the impacts of the human footprint index and population density are increasing. In 2030, the CS in Zunyi is projected to decrease under the NDS, ECS and CDS scenarios. Under the ECS, CS is estimated to be 656.67×10^6 t, with the smallest decrease (-0.26%); moreover, this scenario effectively alleviates the decreases in farmland and woodland.

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Section: Urban Development (Cds)mentioning

confidence: 99%

Response of carbon storage to land use change and Multi-Scenario predictions in Zunyi, China

Liu,

Mei,

Yue

et al. 2024

Preprint

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Response of Carbon Energy Storage to Land Use/Cover Changes in Shanxi Province, China

Tang,

Liu,

Xie

et al. 2024

Energies

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Carbon storage services play an important role in maintaining ecosystem stability. Land use/cover change (LUCC) is the main factor leading to changes in ecosystem carbon storage. Understanding the impact of LUCC on regional carbon storage changes is crucial for protecting regional ecosystems and promoting sustainable socio-economic development. This paper selects Shanxi province as the study area and explores the spatial and temporal evolution characteristics of carbon storage in Shanxi province based on the InVEST model and univariate spatial autocorrelation. The results show that the total carbon storage in Shanxi Province in 2000, 2010, and 2020 is 513.51 × 104 t C, 513.46 × 104 t C, and 509.29 × 104 t C, respectively. High carbon storage areas are distributed in forest and grassland land types, while low carbon storage areas are widely distributed in building land in urban metropolitan areas. Shanxi Province is mainly dominated by farmland, which has decreased by 3448.60 km2 in the past 20 years. Grassland has decreased by 1588.31 km2 and the area of building land has increased by 4205.73 km2. Due to the influence of carbon conversion among different land use types, the total carbon storage loss of Shanxi Province in the past 20 years was 4.21 × 104 t C. The transfer of farmland resulted in an increase in carbon stock of 14.46 × 104 t C. The transfer of grassland resulted in an increase of 17.15 × 104 t C, while the transfer of forest resulted in a decrease of 41.44 × 104 t C. The increase in land use types with low carbon density and the decrease in land use types with high carbon density led to the decrease in carbon storage in Shanxi Province. Furthermore, social factors were more likely to influence the carbon storage than natural factors, and the influence of social factors was often negative. On this basis, regional development countermeasures were proposed for the current situation of carbon storage in Shanxi Province and provide a scientific basis for Shanxi Province to achieve the carbon neutrality target.

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Impact of agricultural irrigation and resettlement practices on carbon storage in arid inland river basins: A case study of the Shule river basin

Cited by 2 publications

References 42 publications

Response of carbon storage to land use change and Multi-Scenario predictions in Zunyi, China

Response of carbon storage to land use change and Multi-Scenario predictions in Zunyi, China

Response of Carbon Energy Storage to Land Use/Cover Changes in Shanxi Province, China

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