Low-carbon transformation and ecological safeguarding in the Yellow River Basin: Integrating biomechanical and biological insights

  • Yunshu Zhang School of Tourism, Shandong Women’s University, Jinan 250300, China
  • Yue Wei School of Tourism, Shandong Women’s University, Jinan 250300, China
Keywords: low-carbon transformation; Yellow River Basin; carbon emissions; economic growth; biomechanics
Ariticle ID: 408

Abstract

This research, titled “Low-carbon transformation and ecological safeguarding in the Yellow River Basin: Integrating biomechanical and biological insights” explores the interplay between economic activities, land use changes, and environmental impact. Through regression analyses and assessments of land use alterations, the study identifies significant provincial variations in factors influencing carbon emissions. In addition to the socio-economic factors, the research incorporates insights from biomechanics and biology, drawing parallels between the ecological systems of the Yellow River Basin and biological processes such as energy efficiency and resource allocation in living organisms. For instance, just as organisms optimize energy usage and adapt to external stressors, the proposed low-carbon strategies aim to optimize resource use and improve the resilience of the basin’s ecosystem. Proposed strategies for low-carbon transformation provide a practical roadmap for sustainable development, informed by biological principles like ecological balance, regeneration, and the importance of maintaining biodiversity. These principles reflect how biomechanical systems, such as musculoskeletal structures, balance energy expenditure and repair to maintain functionality under strain, similar to how ecosystems must manage resource cycles to withstand environmental stressors. The integration of socio-economic indicators, alongside biological and biomechanical insights, underscores the need for region-specific policies that consider not only economic factors but also the natural regenerative capacities of the ecosystem. The study suggests that, like biological systems that repair and adapt to maintain homeostasis, the Yellow River Basin’s ecological processes can be guided by sustainable management practices to ensure long-term resilience and stability. In conclusion, the research contributes valuable insights to the global discourse on balancing economic growth with ecological preservation in the ecologically vital Yellow River Basin, highlighting how the integration of biomechanical and biological principles can enhance both ecological safeguarding and low-carbon transformation strategies.

References

1. Ge J, Hu Y. A Historical Survey of the Yellow River and the River Civilizations. Springer Singapore; 2021.

2. Raihan A. Toward sustainable and green development in Chile: Dynamic influences of carbon emission reduction variables. Innovation and Green Development. 2023; 2(2): 100038. doi: 10.1016/j.igd.2023.100038

3. Antwi-Agyei P, Dougill AJ, Agyekum TP, et al. Alignment between nationally determined contributions and the sustainable development goals for West Africa. Climate Policy. 2018; 18(10): 1296-1312. doi: 10.1080/14693062.2018.1431199

4. Balogun AL, Marks D, Sharma R, et al. Assessing the Potentials of Digitalization as a Tool for Climate Change Adaptation and Sustainable Development in Urban Centres. Sustainable Cities and Society. 2020; 53: 101888. doi: 10.1016/j.scs.2019.101888

5. Koh T, Lye LH, Lum S. Peace with Nature: 50 Inspiring Essays on Nature and The Environment. World Scientific. 2023. doi: 10.1142/13561

6. Brown E, Campbell B, Cloke J, et al. Sustaining Natural Resources in a Changing Environment. Routledge; 2020. pp. 112-127.

7. Meraj G, Singh SK, Kanga S, et al. Modeling on comparison of ecosystem services concepts, tools, methods and their ecological-economic implications: a review. Modeling Earth Systems and Environment. 2021; 8(1): 15-34. doi: 10.1007/s40808-021-01131-6

8. Hawkins J, Ma C, Schilizzi S, et al. Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature. Energy Economics. 2015; 48: 81-88. doi: 10.1016/j.eneco.2014.12.002

9. Tan Y, Xu H, Zhang X. Sustainable urbanization in China: A comprehensive literature review. Cities. 2016; 55: 82-93. doi: 10.1016/j.cities.2016.04.002

10. He P, Baiocchi G, Hubacek K, et al. The environmental impacts of rapidly changing diets and their nutritional quality in China. Nature Sustainability. 2018; 1(3): 122-127. doi: 10.1038/s41893-018-0035-y

11. Xue L, Liu X, Lu S, et al. China’s food loss and waste embodies increasing environmental impacts. Nature Food. 2021; 2(7): 519-528. doi: 10.1038/s43016-021-00317-6

12. Rwanga SS, Ndambuki JM. Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences. 2017; 08(04): 611-622. doi: 10.4236/ijg.2017.84033

13. Hammond GP, Howard HR, Rana HS. Environmental and resource burdens associated with low carbon, more electric transition pathways to 2050: Footprint components from carbon emissions and land use to waste arisings and water consumption. Global Transitions. 2019; 1: 28-43. doi: 10.1016/j.glt.2019.01.001

14. Lai S, Lu J, Luo X, et al. Carbon emission evaluation model and carbon reduction strategies for newly urbanized areas. Sustainable Production and Consumption. 2022; 31: 13-25. doi: 10.1016/j.spc.2022.01.026

15. Peeters LJM, Holland KL, Huddlestone-Holmes C, et al. A spatial causal network approach for multi-stressor risk analysis and mapping for environmental impact assessments. Science of The Total Environment. 2022; 802: 149845. doi: 10.1016/j.scitotenv.2021.149845

16. Lee SY, Lee IB, Han J. Design under uncertainty of carbon capture, utilization and storage infrastructure considering profit, environmental impact, and risk preference. Applied Energy. 2019; 238: 34-44. doi: 10.1016/j.apenergy.2019.01.058

17. Wang S, Sun P, Sun H, et al. Spatiotemporal Variations of Carbon Emissions and Their Driving Factors in the Yellow River Basin. International Journal of Environmental Research and Public Health. 2022; 19(19): 12884. doi: 10.3390/ijerph191912884

18. Wang X, Zhang L, Qin Y, et al. Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors. Sustainability. 2020; 12(4): 1502. doi: 10.3390/su12041502

19. Dierx JAJ, Kasper HDP. The magnitude and importance of perceived health dimensions define effective tailor-made health-promoting interventions per targeted socioeconomic group. Frontiers in Public Health. 2022; 10. doi: 10.3389/fpubh.2022.849013

20. Zhang Q, Li J, Li Y, et al. Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China. Journal of Cleaner Production. 2023; 423: 138831. doi: 10.1016/j.jclepro.2023.138831

21. Galvani AP, Bauch CT, Anand M, et al. Human–environment interactions in population and ecosystem health. The National Academy of Sciences. 2016; 113(51): 14502-14506. doi: 10.1073/pnas.1618138113

22. Guo Y, Hou Z, Fang Y, et al. Forecasting and Scenario Analysis of Carbon Emissions in Key Industries: A Case Study in Henan Province, China. Energies. 2023; 16(20): 7103. doi: 10.3390/en16207103

23. Kassa H, Dondeyne S, Poesen J, et al. Transition from Forest based to Cereal based Agricultural Systems: A Review of the Drivers of Land use Change and Degradation in Southwest Ethiopia. Land Degradation & Development. 2016; 28(2): 431-449. doi: 10.1002/ldr.2575

24. Su S, Xiao R, Jiang Z, et al. Characterizing landscape pattern and ecosystem service value changes for urbanization impacts at an eco-regional scale. Applied Geography. 2012; 34: 295-305. doi: 10.1016/j.apgeog.2011.12.001

25. Han X, Qu P, Wu J, et al. Research on the Spatial Pattern of Carbon Emissions and Differentiated Peak Paths at the County Level in Shandong Province, China. Sustainability. 2023; 15(18): 13520. doi: 10.3390/su151813520

26. Ali J, Rasheed T, Afreen M, et al. Modalities for conversion of waste to energy—Challenges and perspectives. Science of The Total Environment. 2020; 727: 138610. doi: 10.1016/j.scitotenv.2020.138610

27. Barrington-Leigh C, Escande A. Measuring Progress and Well-Being: A Comparative Review of Indicators. Social Indicators Research. 2016; 135(3): 893-925. doi: 10.1007/s11205-016-1505-0

28. Li Z, Tian J, Ya Q, et al. Interpretation and Spatiotemporal Analysis of Terraces in the Yellow River Basin Based on Machine Learning. Sustainability. 2023; 15(21): 15607. doi: 10.3390/su152115607

29. Jeuland M, Fetter TR, Li Y, et al. Is energy the golden thread? A systematic review of the impacts of modern and traditional energy use in low and middle-income countries. Renewable and Sustainable Energy Reviews. 2021; 135: 110406. doi: 10.1016/j.rser.2020.110406

30. Bai H, Li N. Exploring Green Economic Efficiency Trends in Dominant Chinese Urban Agglomerations: A Super-Efficient SBM Model Approach. Journal of the Knowledge Economy. 2023. doi: 10.1007/s13132-023-01494-4

Published
2024-11-06
How to Cite
Zhang, Y., & Wei, Y. (2024). Low-carbon transformation and ecological safeguarding in the Yellow River Basin: Integrating biomechanical and biological insights. Molecular & Cellular Biomechanics, 21(2), 408. https://doi.org/10.62617/mcb.v21i2.408
Section
Article