{"title":"Modelling the distribution of the Caucasian oak (Quercus macranthera) in Western Asia under future climate change scenarios","authors":"Nihal Kenar, Zaal Kikvidze","doi":"10.2298/botserb2302215k","DOIUrl":null,"url":null,"abstract":"The Caucasian oak (Quercus macranthera), a native tree of Western Asia, typically grows at high altitudes where the effects of climate change are particularly notable. We analysed the climatic determinants of the current distribution of Q. macranthera and assessed the redistribution of areas suitable for this species as a consequence of climate change. We described the current range of distribution and predicted the potential geographical distribution of the Caucasian oak using species distribution models and five algorithms from two Shared Socio-Economic Pathways (SSPs: SSP 1-2.6 and 5-8.5) for the years 2035, 2055, and 2085, which are based on two General Circulation Models (GCMs). The Random Forest algorithm most accurately described the current distribution of Q. macranthera. SSP 1-2.6 and SSP5-8.5 predicted a pronounced contraction of the highly suitable habitat for the Caucasian oak due to the increase in temperatures and changes in seasonal precipitation dynamics, that more intensive climate change could lead to a greater loss of highly suitable habitats, and that the populations of Q. macranthera could survive only in the Alborz Mountains (northern Iran) and in the Great Caucasus Mountains. Our work helps to establish conservation strategies for species monitoring in order to minimise the potential impacts of climate change.","PeriodicalId":9161,"journal":{"name":"Botanica Serbica","volume":"22 1","pages":"0"},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Botanica Serbica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2298/botserb2302215k","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The Caucasian oak (Quercus macranthera), a native tree of Western Asia, typically grows at high altitudes where the effects of climate change are particularly notable. We analysed the climatic determinants of the current distribution of Q. macranthera and assessed the redistribution of areas suitable for this species as a consequence of climate change. We described the current range of distribution and predicted the potential geographical distribution of the Caucasian oak using species distribution models and five algorithms from two Shared Socio-Economic Pathways (SSPs: SSP 1-2.6 and 5-8.5) for the years 2035, 2055, and 2085, which are based on two General Circulation Models (GCMs). The Random Forest algorithm most accurately described the current distribution of Q. macranthera. SSP 1-2.6 and SSP5-8.5 predicted a pronounced contraction of the highly suitable habitat for the Caucasian oak due to the increase in temperatures and changes in seasonal precipitation dynamics, that more intensive climate change could lead to a greater loss of highly suitable habitats, and that the populations of Q. macranthera could survive only in the Alborz Mountains (northern Iran) and in the Great Caucasus Mountains. Our work helps to establish conservation strategies for species monitoring in order to minimise the potential impacts of climate change.
Botanica SerbicaAgricultural and Biological Sciences-Plant Science
CiteScore
1.40
自引率
12.50%
发文量
17
审稿时长
34 weeks
期刊介绍:
Botanica Serbica publishes original research papers on all aspects of plant, fungal and microbial biology research including the disciplines of microbiology, mycology, lichenology, bryology, flora, vegetation, biogeography, systematics, taxonomy, plant biotechnology, plant cell biology, plant ecology, environmental plant biology, forestry, genomics, horticulture, limnology, metabolomics, molecular biology, proteomics, virology, plant conservation and protection, and wildlife and ecosystem management.