Dynamic Modeling of Migratory Bird Populations in Response to Climate Variability for Implications of Conservation Planning

Dynamic Modeling of Migratory Bird Populations in Response to Climate Variability for Implications of Conservation Planning

Authors

  • Dr. Amit Joshi Assistant Professor, Department of Bio Chemistry, Kalinga University, Naya Raipur, Chhattisgarh, India
  • Dr. Jharna Maiti Assistant Professor, Department of Bio Chemistry, Kalinga University, Naya Raipur, Chhattisgarh, India
  • Dr. Savita Gautam Professor, New Delhi Institute of Management, New Delhi, India

DOI:

https://doi.org/10.70102/AEJ.2025.17.2.29

Keywords:

Dynamic modeling, Migratory birds, Climate variability, Conservation planning, Population dynamics, Statistical modeling, Climate change, Migration patterns.

Abstract

The increasing impacts of climate change pose a significant threat to migratory bird populations, affecting their migration patterns, breeding cycles, and habitats. These changes in migratory behavior may lead to mismatches in timing, resource availability, and habitat suitability, with serious consequences for conservation efforts. This study seeks to determine the impacts of climate variability on migratory bird populations and to provide information on how conservation planning can be modified to address these changes. A dynamic population model was developed using climate data (temperature, precipitation, and seasonal patterns) to estimate the range of impacts on bird migration. The model was parameterized using data from various bird species across multiple regions, and Statistical simulations were used to quantify uncertainty in climatic predictions. The primary concern was to evaluate the population's tendencies, the timing of Migration, and changes in routes under different climatic conditions. To quantify the relationship between climate variables and the dynamics of the bird population, statistical analyses (regression and sensitivity testing) were applied. The findings indicated significant changes in migration timing, with the species migrating earlier by an average of 2-3 weeks during warmer conditions. Species that are reliant on a particular habitat that can be displaced by shifting climatic conditions were also predicted to decline in population. The simulations have revealed a significant effect on species survival: some species were better placed to resist the impact, and others were better positioned to be affected by extinction. The statistical analysis showed a 15 percent decrease in the population of a particular species under the worst climate conditions (p<0.05). The paper identifies the need for dynamic conservation policies that integrate climate projections and population models. Species that were adaptable during their Migration were more resilient than those with specific habitat needs, which were more sensitive to climate changes. This research indicates that climate variability should be considered in conservation planning. There are significant statistical findings that climate change would predispose migratory birds to alter migration timing, population sizes, and other aspects of their behavior. These issues ought to be addressed through conservation strategies that protect significant habitats and migration routes. The future study should focus on the idealization of species-focused models and on the ecology of birds and the evolving environment.

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Published

2025-08-28

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Articles

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