2017
DOI: 10.26897/1997-6011-2017-3-104-111
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Simulation of growing conditions and analysis of factors contribution in formation of high bonitet plantings of pine (Pinus Sylvestris L.) in the program Maxent (by the example of the Bugulminsko-belebeevsky upland within the republic of Bashkortostan

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Cited by 3 publications
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“…They revealed a significant influence of the maximum temperature of the warmest month (suitable values of 25-26.5°C) on the Pinus sylvestris distribution in the region, which also may be due to climatic differences between the Southern Ural uplands and the Caucasus Mountains. At the same time, the second significant factor that made a great contribution to the Maxent models of Pinus sylvestris distribution was, as in our study, the topographic humidity index [57]. This confirms the importance of the topographic factor in the distribution of the species.…”
Section: Ecological Niche Modelingsupporting
confidence: 88%
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“…They revealed a significant influence of the maximum temperature of the warmest month (suitable values of 25-26.5°C) on the Pinus sylvestris distribution in the region, which also may be due to climatic differences between the Southern Ural uplands and the Caucasus Mountains. At the same time, the second significant factor that made a great contribution to the Maxent models of Pinus sylvestris distribution was, as in our study, the topographic humidity index [57]. This confirms the importance of the topographic factor in the distribution of the species.…”
Section: Ecological Niche Modelingsupporting
confidence: 88%
“…Rakhmatullina et al [57] used the Maxent models to analyze the contribution of environmental factors to the distribution of Pinus sylvestris monodominant forest on one of the uplands of the Republic of Bashkortostan, Southern Ural, Russia. They revealed a significant influence of the maximum temperature of the warmest month (suitable values of 25-26.5°C) on the Pinus sylvestris distribution in the region, which also may be due to climatic differences between the Southern Ural uplands and the Caucasus Mountains.…”
Section: Ecological Niche Modelingmentioning
confidence: 99%