Evaluating Climate Change Adaptation Strategies Using Integrated Data Analytics and Environmental Modeling for Ecosystem Resilience
DOI:
https://doi.org/10.71086/IAJIR/V13I2/IAJIR1330Keywords:
Climate Change Adaptation, Ecosystem Resilience, Environmental Data Analytics, Environmental Modeling, Sustainability Assessment, Biodiversity Conservation, Climate Risk Management.Abstract
The effects of climate change destabilize ecosystems, threaten biodiversity, and compromise the effective management of natural resources. Changing weather patterns, including temperature and precipitation, and habitat degradation, increase the demand for scientific hypotheses on how adaptation can enhance ecosystem resilience in the face of environmental uncertainties. Yet many existing adaptation studies, to varying degrees, remain limited by fragmented environmental data, a lack of disciplinary integration, and a lack of quantitative assessment of the long-term impacts of adaptation. This paper provides an alternative lens for assessing climate change adaptation strategies, incorporating Environmental Data Analytics, Statistical Analysis, and Scenario-Based Ecosystem Modeling. Data from 12 ecologically diverse regions for 30 years of climate, ecosystems, land use, and other relevant indicators (1995-2024) were integrated to create a dataset of 18,450 observations. As a result, a data-driven modeling approach was used to identify climate change adaptation strategies across diverse and complex ecosystems. In 1995-2024, a non-adaptive ecosystem showed an increase in the annual mean temperature of 1.84°C, a reduction in precipitation of 11.6%, and an improvement in habitat of 16.3%. Integrated adaptation measures in ecosystems recorded an improvement of 27.8% in resilience scores, along with a reduction in environmental vulnerability of 21.4% and an increase in biodiversity retention of 19.7% relative to the baseline condition. The data further demonstrated a strong relationship (r = 0.81, p < 0.01) between climate fluctuations and the ecosystem and demonstrated the effectiveness of modeling for adaptation planning. The final results of the research support the hypothesis that combined analytical and environmental modeling strengthen ecosystem resilience assessment and provide evidence for climate change policy, ecological management, and future sustainability planning.


