Evaluation of the function of suppressing changes in land use and carbon storage in green belts

Hwang, Jinhoo; Choi, Yuyoung; Sung, Hyun-Chan; Youngjae, Yoo; Lim, No Ol; Kim, Yoonji; Shin, Yujin; Jeong, Dayong; Sun, Zhemin; Jeon, Seong Woo

doi:10.1016/j.resconrec.2022.106600

Cited by 14 publications

(1 citation statement)

References 20 publications

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“…Increasing concerns about the effects of declining ES and human welfare can be seen in reactions to land-use changes [48]. Forests had higher CS and HQ values than other land types (Figure 2) [49,50]. Areas with high CS and HQ were often primarily forested, indicating that the most essential land use for carbon stocks and habitat quality is forest.…”

Section: Complex Es Synergies and Trade-offs And Management Suggestionsmentioning

confidence: 99%

Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China

et al. 2023

Land

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Increasing global urbanization has not only resulted in economic development but it has also caused a number of ecological issues, such as haze, global warming, and storm surges, which can end up hindering the development of human society in the long term. One method of maintaining the long-term growth of human ecosystems is by considering ecosystem services (ES) when making decisions over land use. This study provides information to aid with decision making in the maintenance of Beijing’s ES provision in the long term. Firstly, three key ES, namely, carbon storage (CS), habitat quality (HQ), and water yield (WY), were evaluated by the InVEST model. Then, the spatial patterns of synergies and trade-offs among three ES at the city and grid scales were explored through the correlation coefficients analysis and geographically weighted regression (GWR). Finally, the strength of trade-offs among ES was calculated based on root mean squared error (RMSE), and the potential ecological risk areas are recognized. We discovered that (1) the total carbon storage decreases from 3.74 million tons in 2000 to 3.66 million tons in 2020, and HQ has the same trend, with its average value decreasing from 0.72 to 0.67; in contrast, water yield is more stable, increasing slightly from 8.22 × 1010 m3 in 2000 to 8.23 × 1010 m3 in 2020. (2) The synergies and trade-offs of ES are spatially heterogeneous. Among them, the correlation coefficients at the city-level indicated synergistic relationships among the three ES, but CS-WY and WY-HQ always have trade-off relationships at the grid level, where 37.88% of WY-HQ and 14.59% of CS-WY were trade-offs in 2020. (3) At the urban-rural interface, the trade-offs among ES are stronger than those in other regions. In rural-urban areas, the RMSE in CS-HQ, CS-WY and WY-HQ always had high values (>0.5), accounting for 16.72%, 9.33%, and 26.94% of the entire area, respectively; these areas are identified as potential ecological risk areas, which will be the focus area for future ES regulation. These findings provide opportunities for clear trade-offs among ES and promote positive synergies. In addition, land-use management may use the results to guide ecosystem service use, identify critical areas, and ensure regional sustainability in urban development.

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Section: Complex Es Synergies and Trade-offs And Management Suggestionsmentioning

confidence: 99%

Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China

et al. 2023

Land

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The spatial response of carbon storage to territorial space composition and landscape pattern changes: A case study of the Fujian Delta urban agglomeration, China

Zheng,

Chen

2024

Environ Sci Pollut Res

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An analysis of regional carbon stock response under land use structure change and multi-scenario prediction, a case study of Hefei, China

Wang

Liang

Wang

et al. 2023

Ecological Indicators

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Evaluation of the function of suppressing changes in land use and carbon storage in green belts

Cited by 14 publications

References 20 publications

Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China

Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China

The spatial response of carbon storage to territorial space composition and landscape pattern changes: A case study of the Fujian Delta urban agglomeration, China

An analysis of regional carbon stock response under land use structure change and multi-scenario prediction, a case study of Hefei, China

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