LAND DEGRADATION NEUTRALITY ASSESSMENT OF THE AHANGARAN BASIN USING THE DPSIR FRAMEWORK
Боковая панель статьи
Основное содержимое статьи
Информация о статье
Раздел
Библиографические ссылки
1. Abdul-Qadir, A., et al. (2021). DPSIR-based assessment of land degradation in semi-arid regions. Journal of Arid Environments, 104606. https://doi.org/10.1016/j.jaridenv.2021.104606
2. Akhtar-Schuster, M., et al. (2019). Land degradation neutrality: Multi-scale policy implications. Sustainability, 11(19), 5564. https://doi.org/10.3390/su11195564
3. Cherlet, M., et al. (2018). Assessing land productivity dynamics for SDG 15.3.1 monitoring. Land Degradation & Development, 29(11), 3562–3573. https://doi.org/10.1002/ldr.3012
4. Cowie, A. L., et al. (2018). Land in balance: The scientific conceptual framework for land degradation neutrality. Environmental Science & Policy, 79, 25–35. https://doi.org/10.1016/j.envsci.2017.10.011
5. Cowie, A. L., et al. (2020). Integrating remote sensing indicators for LDN monitoring. Land Degradation & Development, 31(3), 287–302. https://doi.org/10.1002/ldr.3511
6. FAO. (n.d.-a). 15.3.1: Proportion of land that is degraded over total land area. https://www.fao.org/sustainable-development-goals-data portal/data/indicators/1531-proportion-of-land-that-is-degraded-over-total land-area/en
7. FAO. (n.d.-b). Land degradation neutrality. https://www.fao.org/platforms/green-agriculture/areas-of-work/natural resources-biodiversity-green-production/land-degradation-neutrality/
8. FAO. (n.d.-c). framework. Driver–Pressure–State–Impact–Response (DPSIR) https://www.fao.org/land-water/land/land-governance/land resources-planning-toolbox/category/details/en/c/1026561/
9. FAO. (2017). Soil salinity management in agriculture. FAO Soils Bulletin.
10. Gao, J., & Bryan, B. A. (2017). Understanding watershed-level environmental interactions using the DPSIR framework. Ecological Indicators, 82, 293–303. https://doi.org/10.1016/j.ecolind.2017.09.047
11. IISD. (2024). National State of the Environment Report: Uzbekistan. https://www.iisd.org/system/files/2024-02/uzbekistan-state-of-the environment-en.pdf
12. Kelble, C. R., et al. (2013). The DPSIR framework: Analyzing ecological and social systems. Environmental Management, 52(3), 507–518. https://doi.org/10.1007/s00267-013-0100-0
13. Kust, G., et al. (2023). Land degradation neutrality for drylands: Applications and monitoring challenges. Sustainability, 15(14), 11245. https://doi.org/10.3390/su151411245
14. Martínez-Valderrama, J., et al. (2025). Toward resilient implementation of land degradation neutrality via systemic approaches. Systems, 13(6), 408. https://doi.org/10.3390/systems13060408
15. Metternicht, G. (2017). Scientific conceptual framework for land degradation neutrality. UNCCD. https://doi.org/10.13140/RG.2.2.22970.59841
16. Millennium Ecosystem Assessment. (2005). Ecosystems and human well being: Desertification synthesis. World Resources Institute
17. Micklin, P. (2016). The Aral Sea: The devastation and partial rehabilitation of a great lake. Springer Water, 2, 1–20.
18. Qadir, M., Quillérou, E., Nangia, V., et al. (2014). Economics of salt-induced land degradation and restoration. Natural Resources Forum, 38(4), 282–295.
19. Orr, B. J., et al. (2017). Indicators and monitoring framework for LDN. Environmental Science & Policy, 79, 70–82. https://doi.org/10.1016/j.envsci.2017.03.017
20. ResearchGate. (2023). The effect of the Almalyk–Ahangaran industrial zone on groundwater levels in the Ahangaran Basin. https://www.researchgate.net/publication/378396283
21. Reynolds, J. F., Stafford Smith, D. M., Lambin, E. F., et al. (2007). Global desertification: Building a science for dryland development. Science, 316(5826), 847–851
22. Singh, S., et al. (2020). Mapping land degradation using DPSIR and remote sensing applications. Remote Sensing Applications, 100465. https://doi.org/10.1016/j.rsase.2020.100465
23. UNDP Uzbekistan. (n.d.). EU and UNDP support sustainable pasture management. https://www.undp.org/uzbekistan/press-releases/eu-and-undp support-sustainable-pasture-management
24. Zhao, Y., et al. (2023). A comprehensive method for refining SDG variables using the DPSIR framework. International Journal of Digital Earth, 16(2), 321–338. https://doi.org/10.1080/17538947.2023.2182375
1. Abdul-Qadir, A., et al. (2021). DPSIR-based assessment of land degradation in semi-arid regions. Journal of Arid Environments, 104606. https://doi.org/10.1016/j.jaridenv.2021.104606
2. Akhtar-Schuster, M., et al. (2019). Land degradation neutrality: Multi-scale policy implications. Sustainability, 11(19), 5564. https://doi.org/10.3390/su11195564
3. Cherlet, M., et al. (2018). Assessing land productivity dynamics for SDG 15.3.1 monitoring. Land Degradation & Development, 29(11), 3562–3573. https://doi.org/10.1002/ldr.3012
4. Cowie, A. L., et al. (2018). Land in balance: The scientific conceptual framework for land degradation neutrality. Environmental Science & Policy, 79, 25–35. https://doi.org/10.1016/j.envsci.2017.10.011
5. Cowie, A. L., et al. (2020). Integrating remote sensing indicators for LDN monitoring. Land Degradation & Development, 31(3), 287–302. https://doi.org/10.1002/ldr.3511
6. FAO. (n.d.-a). 15.3.1: Proportion of land that is degraded over total land area. https://www.fao.org/sustainable-development-goals-data portal/data/indicators/1531-proportion-of-land-that-is-degraded-over-total land-area/en
7. FAO. (n.d.-b). Land degradation neutrality. https://www.fao.org/platforms/green-agriculture/areas-of-work/natural resources-biodiversity-green-production/land-degradation-neutrality/
8. FAO. (n.d.-c). framework. Driver–Pressure–State–Impact–Response (DPSIR) https://www.fao.org/land-water/land/land-governance/land resources-planning-toolbox/category/details/en/c/1026561/
9. FAO. (2017). Soil salinity management in agriculture. FAO Soils Bulletin.
10. Gao, J., & Bryan, B. A. (2017). Understanding watershed-level environmental interactions using the DPSIR framework. Ecological Indicators, 82, 293–303. https://doi.org/10.1016/j.ecolind.2017.09.047
11. IISD. (2024). National State of the Environment Report: Uzbekistan. https://www.iisd.org/system/files/2024-02/uzbekistan-state-of-the environment-en.pdf
12. Kelble, C. R., et al. (2013). The DPSIR framework: Analyzing ecological and social systems. Environmental Management, 52(3), 507–518. https://doi.org/10.1007/s00267-013-0100-0
13. Kust, G., et al. (2023). Land degradation neutrality for drylands: Applications and monitoring challenges. Sustainability, 15(14), 11245. https://doi.org/10.3390/su151411245
14. Martínez-Valderrama, J., et al. (2025). Toward resilient implementation of land degradation neutrality via systemic approaches. Systems, 13(6), 408. https://doi.org/10.3390/systems13060408
15. Metternicht, G. (2017). Scientific conceptual framework for land degradation neutrality. UNCCD. https://doi.org/10.13140/RG.2.2.22970.59841
16. Millennium Ecosystem Assessment. (2005). Ecosystems and human well being: Desertification synthesis. World Resources Institute
17. Micklin, P. (2016). The Aral Sea: The devastation and partial rehabilitation of a great lake. Springer Water, 2, 1–20.
18. Qadir, M., Quillérou, E., Nangia, V., et al. (2014). Economics of salt-induced land degradation and restoration. Natural Resources Forum, 38(4), 282–295.
19. Orr, B. J., et al. (2017). Indicators and monitoring framework for LDN. Environmental Science & Policy, 79, 70–82. https://doi.org/10.1016/j.envsci.2017.03.017
20. ResearchGate. (2023). The effect of the Almalyk–Ahangaran industrial zone on groundwater levels in the Ahangaran Basin. https://www.researchgate.net/publication/378396283
21. Reynolds, J. F., Stafford Smith, D. M., Lambin, E. F., et al. (2007). Global desertification: Building a science for dryland development. Science, 316(5826), 847–851
22. Singh, S., et al. (2020). Mapping land degradation using DPSIR and remote sensing applications. Remote Sensing Applications, 100465. https://doi.org/10.1016/j.rsase.2020.100465
23. UNDP Uzbekistan. (n.d.). EU and UNDP support sustainable pasture management. https://www.undp.org/uzbekistan/press-releases/eu-and-undp support-sustainable-pasture-management
24. Zhao, Y., et al. (2023). A comprehensive method for refining SDG variables using the DPSIR framework. International Journal of Digital Earth, 16(2), 321–338. https://doi.org/10.1080/17538947.2023.2182375