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Development of a framework to predict the effects of climate change on birds
Affiliation:1. Department of Environmental Sciences, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Iran;2. Department of Desert and arid zones management, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Iran;1. Dipartimento di Matematica “Giuseppe Peano”, via Carlo Alberto 10, Università di Torino, Torino 10123, ITALY;2. University of Yuzuncu Yil, Faculty of Agriculture, Dept. of Plant Protection, Van, 65080, TURKEY;3. Centre for Mathematical Biology and Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK;1. Department of Mathematics, Sultan Qaboos University, Al-Khoudh 123, Oman;2. Center of Preparatory Studies, Sultan Qaboos University, Al-Khoudh 123, Oman;3. School of IT Information and Control Engineering, Kunsan National University, Gunsan 54150, South Korea;1. School of Applied Mathematics, Shanxi University of Finance and Economics, Taiyuan, Shanxi 030006, China;2. School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi 030006, China
Abstract:Climate change is expected to alter biological phenomena across the world, including the numbers and distributions of species and the timing of significant events in their life cycles such as reproduction and migration. Understanding how species will respond to future climate change is essential for effective wildlife management and conservation. Accordingly, in this research, we advanced the understanding of avian ecology by developing a framework for how climate change affects birds. In the first step, we evaluated the vulnerability of 537 species to climate change based on the distribution, physiology, phenology, biotic interactions, and protection status of the species in Iran. Then, we used MaxEnt models to predict the potential changes in the ranges of vulnerable species due to climate change in the next 70 years. In the third step, hotspots for birds under current and future conditions were identified using an ensemble forecasting framework and the potential changes in the hotspots in the next 70 years were predicted. Results of the climate vulnerability evaluation showed that around 40% of bird species in Iran are highly vulnerable. Our results showed that small parts of suitable habitats are currently located within protected areas. Moreover, the results showed that even smaller portions of suitable habitats will fall within protected areas in the future. The reduced coverage in the future will diminish the benefits of protected areas for the species and make the species more vulnerable to climate change. These results can be used by wildlife managers to identify areas with protection priority, and for prediction of corridors, core habitats, and new areas to establish protected areas in the future.
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