پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 798 |
| تعداد مقالات | 7,649 |
| تعداد مشاهده مقاله | 31,924,615 |
| تعداد دریافت فایل اصل مقاله | 7,736,932 |
Role of information systems in ecology for achieving the Sustainable Development Goals (SDGs) | ||
| Caspian Journal of Environmental Sciences | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 31 تیر 1404 | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22124/cjes.2025.8912 | ||
| نویسندگان | ||
| Kundyz Nakysbekova1؛ Laura Ismukhanova2؛ Lazzat Aldibayeva3؛ Batyrgeldy Shimshikov1؛ Tamara Torobekova* 4؛ Raushan Osmonbekova4؛ Aigul Asanova4؛ Kymbat Kulnazarova5 | ||
| 1Al-Farabi Kazakh National University UNESCO Chair for Sustainable Development Departament of Geography and Environmental | ||
| 2Laboratory of Hydrochemistry and Main Toxicology, JSC Institute of Geography and Water Safety, Al-Farabi Kazakh National University | ||
| 3Kazakh National Agrarian Research University, Faculty of «Engineering and Technology» | ||
| 4Kyrgyz National University named after Jusub Balasagyn | ||
| 5Tourism College of Kyrgyz National University named after Jusup Balasagyn | ||
| چکیده | ||
| This research aimed to create and evaluate an integrated information system based on digital twins for monitoring vulnerable ecosystems in Kazakhstan and supporting the Sustainable Development Goals (SDGs). The research was conducted in three large ecosystems (semi-dry steppes, Aral Sea basin and nature reserves) by combining multi-source information including remote sensing (Landsat-8/9), Sentinel-1/2, IoT sensor networks (1,240 sensors) and artificial intelligence models. The analysis revealed alarming land degradation acceleration with the area of 32,150 km2 over five years (28.5% in the Aral Sea basin) and 23.1% decline of Saitaga population. The LSTM predictive model successfully identified crisis hotspots 6 months prior with precision 86.5% (κ = 0.79) and error RMSE = 0.11 ± 0.02 that was 37% more accurate than methods used in the past. Implementation of the system brought revolution in environmental administration, e.g., reduction in decision-making time by 80.5%, 33.2% improvement in allocation of conservation budget, and a rise in snow leopard population in the observed ranges by 19.5%. The monitoring cost also came down by 78.1% (savings of $3.68 million each year). This model, with its ability to monitor SDG 15.3.1 and SDG 6.3.2 key indicators in near real-time, is a good model for Central Asian nations. | ||
| کلیدواژه‌ها | ||
| Environmental Information System؛ Digital Twin؛ Ecological Governance؛ Central Asia | ||
| مراجع | ||
|
Abdulmajeed, RK & Abed, IN 2021, The Cognitive Relevance in Understanding Coronavirus Posters. Rigeo, 11: 1699-1706, 10.48047/rigeo.11.12.154.
Abed, I 2024, A Rhetorical Study of the Effect of Repeated Question in Surah Al-Rahman, VIII. International Congress of Humanities and Educational Research, Iraq, 16-35, https://dx.doi.org/ 10.47832/IjherCongress8-2.
Arino, O, Ramos, JJ, Kalogirou, V, Defourny, P, Achard, F, Ramoino, F & Bontemps, S 2025, The Copernicus Land Monitoring Service: Supporting SDG monitoring through high-resolution land cover and change products. Remote Sensing of Environment, Accepted March 2025 (Preprint).
Besson, M, Alison, C, Bjerge, K, Gorochowski, TT, Høye, TT, Jucker, T, Mann, HMR & Clements, CF 2024, Towards fully automated environmental monitoring: Quantifying animal behaviors and dynamics in ecosystems using computer vision and deep learning. Ecological Informatics, 81: 102-116.
Kussul, N, Lavreniuk, M, Skakun, S, Shelestov, A, Yailymov, B & Yarotskiy, V 2024, Leveraging satellite Earth observation for SDG monitoring in post-Soviet countries: Case studies from Central Asia. ISPRS Journal of Photogrammetry and Remote Sensing, 198: 133-149.
Li, J, Wang, H, Zhang, Y, Liu, C, Wang, L & Shang, J 2025, AI-driven digital twin for sustainable ecosystem management: A framework integrating multisource data and predictive modeling. Environmental Science & Technology, 59: 421-434.
Meena, MS & Singh, KM 2012, Information and communication technologies for sustainable natural resource management. Environmental Economics eJournal. https://doi.org/10.2139/ssrn.2244751.
Mukhtarovna U, Bakhodir O, Ma'rufjon o'g'li K, Obidjonovich Z, Esanmurodova N, Erkinovna A 2025, The impact of education in environmental protection for sustainable development. Procedia of Environmental Science, Engineering and Management, 12: 133-139.
Pratikno, Yu, Soesilo, R, Prayoga, R, Endrawati, T & Limakrisna, N 2023, The integrated green supply chain and human resource management for sustainability. Economic Annals-XXI, 206: 36-40, DOI: https://doi.org/10.21003/ea.V206-06.
Puspita, I, Komara, E, Kusniawati, A, Tabrani, & Surjaatmadja, S 2022, The model of influencer and customer reviews impact on customer’s purchase intention in the context of sustainable development. Economic Annals-XXI, 200: 21-26, DOI: https://doi.org/10.21003/ea.V200-04.
Nargiz, S, Gulchehra, I, Dilrabo, N, Aziz, A, Umarbek, E, Dilshod, N & Maqsad, M 2025, Comparative analysis of aerobic exercise versus resistance training on cardiovascular risk factors in prehypertensive adults. Revista Latinoamericana de Hipertension, 20: 280-285, http://doi.org/10.5281/zenodo.5365059.
Saleem A 2025, Automation and artificial intelligence in enhancing mining efficiency and sustainability: a review. Procedia of Environmental Science, Engineering and Management, 12: 213-228.
Schmeller, DS, Bohlin, J, Brlík, V, Chen, Y, Crall, A W, Fernández, N, Junker, RR, Kelling, S, Kissling, WD, Regan, EC, Riginos, C, Sica, YV & Kommareddy, A 2025, A global biodiversity monitoring system driven by local stakeholders. BioScience, 75: 189-202.
Skoulikaris, C, Filali-Meknassi, Y, Aureli, A, Amani, A & Jiménez-Cisneros, B E 2018, Information-communication technologies as an integrated water resources management (IWRM) tool for sustainable development. In Achievements and Challenges of Integrated River Basin Management (pp. 179–181). IntechOpen.
Turner, W, Spector, S, Gardiner, N, Fladeland, M, Sterling, E & Steininger, M 2003, Remote sensing for biodiversity science and conservation. Trends in Ecology & Evolution, 18: 306–314.
United Nations Environment Programme (UNEP) 2024, State of the Environment in Central Asia: Progress and Challenges in Achieving Environmental SDGs. UNEP.
Watson, RT 2005, Turning science into policy: Challenges and experiences from the science–policy interface. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1454): 471-477.
Wibawa M, Sundara D, Limakrisna N, Susilo W 2025, Sustainability as a competitive advantage: a study on green marketing strategies in the FMCG sector. Procedia of Environmental Science, Engineering and Management, 12: 25-38.
Zhang, Q, Zhang, F, Wu, T, Wu, B, Li, M, Zeng, H & Zhu, L 2024, Integrating multi-platform remote sensing for holistic assessment of dryland ecosystem degradation in Central Asia: Implications for SDG 15.3.1 monitoring. Science of The Total Environment, 91: 170-185. | ||
|
آمار تعداد مشاهده مقاله: 3 |
||