Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Статья

Ecological Risk Modelling of Hypothetical Alien Species Using the Climex Model

Islom KadirovUrgench State University, Khorezm, [email protected]Nafaa Farhan MuftenMazaya University College, Nasiriyah, Dhi Qar, [email protected]Baxtiyor TurayevTermez University of Economics and Service, Termez, [email protected]Zaid Ajzan AlsalamiDepartment of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq; Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, [email protected]I. B. SapaevTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan; Scientific Researcher, Western Caspian University, Baku, [email protected]Dr. Anushree SahaAssistant Professor, Department of Chemistry, Kalinga University, Naya Raipur, Chhattisgarh, [email protected]
ABI

Аннотация

Invasion of alien species poses an enormous threat to agriculture and biodiversity, and irreparably harms the existing balance of ecosystems. Predictive invasion modeling plays a crucial role in mitigating the impacts of such invasions. In this study, CLIMEX will be used in modeling the global distribution of species of concern based on climatic factors: temperature, moisture, and seasonal stress indices. The model classifies entire appropriate climatic zones into various categories based on the Dominant Climatic Index (EI) and estimates ecological balance levels. The models were tested across latitudes and environmental conditions, with assumed parameter values and limits set to biological boundaries. The findings indicate that the greatest vulnerability to the possibility of invasion is found in the temperate and subtropical regions, with the most impacted areas being in the mid-latitude regions, where an increment in the values of EI can be noticed. Results are delivered based on mathematical spatial suitability mapping and synthesized tables of ecological risk evaluation. Models of this kind can simplify the monitoring of invasive species using surveillance systems and help with early prevention, management, and tracking. This study can prove the relevance of CLIMEX in the ecological risk evaluation and management of invasive species in climate change conditions.

Темы

Идентификаторы

Цитирования и источники

Цитирований: 0Использованных источников: 0
Показатели — AkademScholar · Скоро