Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China

Yi-ming, Wang; Zhang, Zengxin; Chen, Xi

doi:10.3390/rs15112703

Cited by 17 publications

(4 citation statements)

References 65 publications

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“…Fortunately, the geo-informatic Tupu model provides a spatio-temporal analysis technique that is capable of delineating the spatial structural traits and temporal shifts of events through advanced data mining and specific processing techniques. This method, by creating a series of intuitive graphs, images, and schematic information in the form of Tupu units, aids in the visualization of the processes of LUCs [59][60][61][62][63]. Essentially, the geo-informatic Tupu model allows for the recording of complex spatiotemporal land-use data using Tupu units, which enhances the precision, clarity, and realism of LUCs research.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China

Peng,

Wu,

Lin

et al. 2024

Applied Sciences

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Human actions have led to consistent and profound alterations in land use, which in turn have had a notable effect on the services provided by ecosystems. In this research, the Google Earth Engine (GEE) was initially employed to perform a supervised classification of Landsat satellite images from 2000 to 2020, which allowed us to obtain land-use data for Putian City, China. Next, the geo-informatic Tupu model and the revised valuation model were used to explore the spatial attributes and ecological effects of land-use changes (LUCs). Subsequently, EEH (eco-economic harmony), ESTD (ecosystem services tradeoffs and synergies degree index), and ESDA (exploratory spatial data analysis) methods were employed to further analyze the coordination level, trade-offs, synergies, and spatial patterns of ecological-economic system development. The findings revealed that: (1) The land-use composition in Putian City was predominantly cultivated land and forest land, with other types of land intermixed. Concurrently, there was an ongoing trend of expansion in urban areas. (2) ESV in Putian City exhibited an upward trend, increasing from 15.4 billion CNY to 23.1 billion CNY from 2000 to 2020. (3) ESV exhibited an imbalance in spatial distribution, with high-high agglomeration areas concentrated in the central part of Putian City and the coastal region of Hanjiang District, while low-low agglomeration areas were prevalent in Xianyou County in the southwest, Xiuyu District along the coast, and Licheng District in the urban center. (4) Synergistic relationships among ESs predominated, though the trade-off relationship showed a tendency to expand. (5) The ecological environment and economic progress in Putian City collectively faced a region of potential risk. The findings of this study are intended to serve as a guide for improving the distribution of land resources and for developing strategies that ensure the sustainable development of the region’s socio-economic framework.

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Section: Literature Reviewmentioning

confidence: 99%

Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China

Peng,

Wu,

Lin

et al. 2024

Applied Sciences

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“…As a result, it is extensively utilized in various applications [15][16][17][18]. Research has shown that the InVEST model, combined with geographic information mapping, was used to simulate carbon storage in the Poyang Lake basin [19]. In addition, some scholars have also used land use types in conjunction with the InVEST model to quantitatively assess the impact of LUCC conversion on ecosystem carbon storage [20].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Attribution Analysis of Spatial–Temporal Variation in Carbon Storage in the Northern Slope Economic Belt of Tianshan Mountains, China

Zhang,

Wang,

Mamtimin

et al. 2024

Land

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Intensive economic and human activities present challenges to the carbon storage capacity of terrestrial ecosystems, particularly in arid regions that are sensitive to climate change and ecologically fragile. Therefore, accurately estimating and simulating future changes in carbon stocks on the northern slope economic belt of Tianshan Mountains (NSEBTM) holds great significance for maintaining ecosystem stability, achieving high-quality development of the economic belt, and realizing the goal of “carbon neutrality” by 2050. This study examines the spatiotemporal evolution characteristics of the NSEBTM carbon stocks in arid regions from 1990 to 2050, utilizing a combination of multi-source data and integrating the Patch-generating Land use Simulation (PLUS) and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models. Additionally, an attribution analysis of carbon stock changes is conducted by leveraging land use data. The findings demonstrate that (1) the NSEBTM predominantly consists of underutilized land, accounting for more than 60% of the total land area in the NSEBTM. Unused land, grassland, and water bodies exhibit a declining trend over time, while other forms of land use demonstrate an increasing trend. (2) Grassland serves as the primary reservoir for carbon storage in the NSEBTM, with grassland degradation being the leading cause of carbon loss amounting to 102.35 t over the past three decades. (3) Under the ecological conservation scenario for 2050 compared to the natural development scenario, there was a net increase in carbon storage by 12.34 t; however, under the economic development scenario compared to the natural development scenario, there was a decrease in carbon storage by 25.88 t. By quantitatively evaluating the land use change in the NSEBTM and its impact on carbon storage in the past and projected for the next 30 years, this paper provides scientific references and precise data support for the territorial and spatial decision making of the NSEBTM, thereby facilitating the achievement of “carbon neutrality” goals.

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“…Land, as the primary arena for human activities, has undergone drastic changes owing to accelerating socioeconomic development, urbanization processes, and natural transformations by human beings 1 , 2 . Land-use change forms the foundation of the study of carbon storage in terrestrial ecosystems, as it directly impacts the original pattern, process, function, and structure of terrestrial ecosystems, thereby altering their carbon storage 3 , 4 . This directly affects climate change predictions, greenhouse gas emissions, and reduction efforts 4 .…”

Section: Introductionmentioning

confidence: 99%

Assessing land-use changes and carbon storage: a case study of the Jialing River Basin, China

Yang,

Li,

Zhu

et al. 2024

Sci Rep

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Land-use change is the main driver of carbon storage change in terrestrial ecosystems. Currently, domestic and international studies mainly focus on the impact of carbon storage changes on climate, while studies on the impact of land-use changes on carbon storage in complex terrestrial ecosystems are few. The Jialing River Basin (JRB), with a total area of ~ 160,000 km2, diverse topography, and elevation differences exceeding 5 km, is an ideal case for understanding the complex interactions between land-use change and carbon storage dynamics. Taking the JRB as our study area, we analyzed land-use changes from 2000 to 2020. Subsequently, we simulated land-use patterns for business-as-usual (BAU), cropland protection (CP), and ecological priority (EP) scenarios in 2035 using the PLUS model. Additionally, we assessed carbon storage using the InVEST model. This approach helps us to accurately understand the carbon change processes in regional complex terrestrial ecosystems and to formulate scientifically informed land-use policies. The results revealed the following: (1) Cropland was the most dominant land-use type (LUT) in the region, and it was the only LUT experiencing net reduction, with 92.22% of newly designated construction land originating from cropland. (2) In the JRB, total carbon storage steadily decreased after 2005, with significant spatial heterogeneity. This pattern was marked by higher carbon storage levels in the north and lower levels in the south, with a distinct demarcation line. The conversion of cropland to construction land is the main factor driving the reduction in carbon storage. (3) Compared with the BAU and EP scenarios, the CP scenario demonstrated a smaller reduction in cropland area, a smaller addition to construction land area, and a lower depletion in the JRB total carbon storage from 2020 to 2035. This study demonstrates the effectiveness of the PLUS and InVEST models in analyzing complex ecosystems and offers data support for quantitatively assessing regional ecosystem services. Strict adherence to the cropland replenishment task mandated by the Chinese government is crucial to increase cropland areas in the JRB and consequently enhance the carbon sequestration capacity of its ecosystem. Such efforts are vital for ensuring the food and ecological security of the JRB, particularly in the pursuit of the “dual-carbon” objective.

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Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China

Cited by 17 publications

References 65 publications

Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China

Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China

Simulation and Attribution Analysis of Spatial–Temporal Variation in Carbon Storage in the Northern Slope Economic Belt of Tianshan Mountains, China

Assessing land-use changes and carbon storage: a case study of the Jialing River Basin, China

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