Prediction of distribution changes of carpinus laxiflora and C. tschonoskii based on climate change scenarios using MaxEnt model in the Republic of Korea

Hornbeams (Carpinus spp.), which are widely distributed in South Korea, are recognized as one of the most abundant species at climax stage in the temperate forests. Although the distribution and vegetation structure of the C. laxiflora community have been reported, little ecological information of C. tschonoskii is available. Little effort was made to examine the distribution shift of these species under the future climate conditions. This study was conducted to predict potential shifts in the distribution of C. laxiflora and C. tschonoskii in 2050s and 2090s under the two sets of climate change scenarios, RCP4.5 and RCP8.5. The MaxEnt model was used to predict the spatial distribution of two species using the occurrence data derived from the 6th National Forest Inventory data as well as climate and topography data. It was found that the main factors for the distribution of C. laxiflora were elevation, temperature seasonality, and mean annual precipitation. The distribution of C. tschonoskii, was influenced by temperature seasonality, mean annual precipitation, and mean diurnal rang. It was projected that the total habitat area of the C. laxiflora could increase by 1.05% and 1.11% under RCP 4.5 and RCP 8.5 scenarios, respectively. It was also predicted that the distributional area of C. tschonoskii could expand under the future climate conditions. These results highlighted that the climate change would have considerable impact on the spatial distribution of C. laxiflora and C. tschonoskii. These also suggested that ecological information derived from climate change impact assessment study can be used to develop proper forest management practices in response to climate change. Keywords: Carpinus laxiflora, C. tschonoskii, Climate change, Distribution change, MaxEnt ID:3619140

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Bibliographic Details
Main Author: Lee , M., Chun, J., Lee, C.
Format: Article biblioteca
Language:English
Published: FAO ; 2022
Online Access:https://openknowledge.fao.org/handle/20.500.14283/cc1713en
http://www.fao.org/3/cc1713en/cc1713en.pdf
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