Bioclimatic modeling of the species Phlomoides canescens (Lamiaceae)
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.01Keywords:
Climate change, MaxEnt model, hot spots, Phlomoides canescens, potential geographical distribution, Pamir-Alay.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The article analyzes the natural distribution area of the species Phlomoides canescens (Regel) Adylov, Kamelin and Makhmedov using the programs of type MaxEnt and ArcGis, the widespread of Central Asia (past, future). A methodological algorithm of bioclimatic modeling was developed. According to the results of the study, it is proved that the main distribution of the species coincides with the boundaries of the area Pomir-Alay mountain system (Uzbekistan, Tajikistan and Kyrgyzstan) as well as northern Afghanistan. Is noted that the climatic and topographic factors that are optimal for the species are the precipitation of the coldest quarter and elevation. According to the RCP 2.6 (2061-2080) climate scenario, an increase in temperature of 0.4 to 1.6°C will create many potentially suitable areas in the form of fragments in the regions of Afghanistan and Tajikistan. Under the RCP8.5_2070s climate scenario, an increase in temperature of 1.4 to 2.6°C has replaced scattered high-level suitable areas with medium-level suitable areas. Under both climate scenarios, temperature increases of 0.4–1.6°C and 1.4–2.6°C did not adversely affect the species’ main hotspots. Ecological features of the species and modeling results allow to creation of natural plantations in the foothills of Kashkadarya, Surkhandarya (Hisor Range) and Jizzakh (Turkestan Range) regions. This makes it possible to provide a sufficient amount of biomass for the development of drugs from the plant in the field of pharmaceuticals.Abstract
How to Cite
Downloads
Similar Articles
- ABHAYA K. SINGH, IMPLICATIONS OF CLIMATE CHANGE IN THE HIMALAYAN REGION AND ITS IMPACT ON INDIAN SECURITY , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Parmar Nisarg Kamleshbhai, Ashishkumar Bhanuprasad Upadhyay, Exploring the intersection of climate change and tourism: A case study of the Gir Region , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Sahaya Jenitha A, Sinthu J. Prakash, A general stochastic model to handle deduplication challenges using hidden Markov model in big data analytics , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Kunwar Ananad Singh, Poonam Pandey, ROLE OF ANTHROPOGENIC EMISSIONS IN CLIMATE CHANGE , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Prem Yadav, Prashant Kumar, CLIMATE CHANGE AND BIODIVERSITY IN NARAYANI RIVER ECOSYSTEM AND ECOSYSTEM SERVICES , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Annalakshmi D., C. Jayanthi, An asymmetric key encryption and decryption model incorporating optimization techniques for enhanced security and efficiency , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Pravin P. Adivarekar1, Amarnath Prabhakaran A, Sukhwinder Sharma, Divya P, Muniyandy Elangovan, Ravi Rastogi, Automated machine learning and neural architecture optimization , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.