Radial growth response of Pinus densiflora and Quercus spp. to topographic and climatic factors in South Korea. Byun, J. G., Lee, W. K., Kim, M., Kwak, D. A., Kwak, H., Park, T., Byun, W. H., Son, Y., Choi, J. K., Lee, Y. J., Saborowski, J., Chung, D. J., & Jung, J. H. Journal of Plant Ecology, 6(5):380–392, 2013. Pdf doi abstract bibtex This study aimed to develop radial growth models and to predict the$\$npotential spatial distribution of Pinus densiflora (Japanese red pine)$\$nand Quercus spp. (Oaks) in South Korea, considering topographic and$\$nclimatic factors.$\$nWe used a dataset of diameter at breast height and radial growth$\$nestimates of individual trees, topographic and climatic factors in$\$nsystematic sample plots distributed over the whole of South Korea. On$\$nthe basis that radial growth is attributed primarily to tree age, we$\$ndeveloped a radial growth model employing tree age as an explanatory$\$nvariable. We estimated standard growth (SG), defined as radial growth of$\$nthe tree at age 30, to eliminate the influence of tree age on radial$\$ngrowth. In addition, SG estimates including the Topographic Wetness$\$nIndex, temperature and precipitation were calculated by the Generalized$\$nAdditive Model.$\$nAs a result of variogram analysis of SG, we found spatial$\$nautocorrelation between SG, topographic and climatic factors.$\$nIncremental temperature had negative impacts on radial growth of P.$\$ndensiflora and positive impacts on that of Quercus spp. Precipitation$\$nwas associated with positive effects on both tree species. Based on the$\$nmodel, we found that radial growth of P. densiflora would be more$\$nvulnerable than that of Quercus spp. to climatic factors. Through$\$nsimulation with the radial growth model, it was predicted that P.$\$ndensiflora stands would be gradually replaced with Quercus spp. stands$\$nin eastern coastal and southern regions of South Korea in the future.$\$nThe models developed in this study will be helpful for understanding the$\$nimpact of climatic factors on tree growth and for predicting changes in$\$ndistribution of P. densiflora and Quercus spp. due to climate change in$\$nSouth Korea.
@Article{Byun2013,
author = {Byun, Jae Gyun and Lee, Woo Kyun and Kim, Moonil and Kwak, Doo Ahn and Kwak, Hanbin and Park, Taejin and Byun, Woo Hyuk and Son, Yowhan and Choi, Jung Kee and Lee, Young Jin and Saborowski, Joachim and Chung, Dong Jun and Jung, Jin Hyun},
title = {{Radial growth response of Pinus densiflora and Quercus spp. to topographic and climatic factors in South Korea}},
journal = {Journal of Plant Ecology},
year = {2013},
volume = {6},
number = {5},
pages = {380--392},
issn = {17529921},
url_pdf = {http://uni-goettingen.de/de/document/download/c7786d9cbd499a69c9a27fd282fef0ef.pdf/2013_J%20Plant%20Ecol_Byun_etal.pdf},
abstract = {This study aimed to develop radial growth models and to predict the$\backslash$npotential spatial distribution of Pinus densiflora (Japanese red pine)$\backslash$nand Quercus spp. (Oaks) in South Korea, considering topographic and$\backslash$nclimatic factors.$\backslash$nWe used a dataset of diameter at breast height and radial growth$\backslash$nestimates of individual trees, topographic and climatic factors in$\backslash$nsystematic sample plots distributed over the whole of South Korea. On$\backslash$nthe basis that radial growth is attributed primarily to tree age, we$\backslash$ndeveloped a radial growth model employing tree age as an explanatory$\backslash$nvariable. We estimated standard growth (SG), defined as radial growth of$\backslash$nthe tree at age 30, to eliminate the influence of tree age on radial$\backslash$ngrowth. In addition, SG estimates including the Topographic Wetness$\backslash$nIndex, temperature and precipitation were calculated by the Generalized$\backslash$nAdditive Model.$\backslash$nAs a result of variogram analysis of SG, we found spatial$\backslash$nautocorrelation between SG, topographic and climatic factors.$\backslash$nIncremental temperature had negative impacts on radial growth of P.$\backslash$ndensiflora and positive impacts on that of Quercus spp. Precipitation$\backslash$nwas associated with positive effects on both tree species. Based on the$\backslash$nmodel, we found that radial growth of P. densiflora would be more$\backslash$nvulnerable than that of Quercus spp. to climatic factors. Through$\backslash$nsimulation with the radial growth model, it was predicted that P.$\backslash$ndensiflora stands would be gradually replaced with Quercus spp. stands$\backslash$nin eastern coastal and southern regions of South Korea in the future.$\backslash$nThe models developed in this study will be helpful for understanding the$\backslash$nimpact of climatic factors on tree growth and for predicting changes in$\backslash$ndistribution of P. densiflora and Quercus spp. due to climate change in$\backslash$nSouth Korea.},
comment = {public},
doi = {10.1093/jpe/rtt001},
isbn = {1752-9921},
keywords = {climate change,forest-cover change,general additive modelclimatic factors,standard radial growth},
}
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H."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Byun"],"firstnames":["Jae","Gyun"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Woo","Kyun"],"suffixes":[]},{"propositions":[],"lastnames":["Kim"],"firstnames":["Moonil"],"suffixes":[]},{"propositions":[],"lastnames":["Kwak"],"firstnames":["Doo","Ahn"],"suffixes":[]},{"propositions":[],"lastnames":["Kwak"],"firstnames":["Hanbin"],"suffixes":[]},{"propositions":[],"lastnames":["Park"],"firstnames":["Taejin"],"suffixes":[]},{"propositions":[],"lastnames":["Byun"],"firstnames":["Woo","Hyuk"],"suffixes":[]},{"propositions":[],"lastnames":["Son"],"firstnames":["Yowhan"],"suffixes":[]},{"propositions":[],"lastnames":["Choi"],"firstnames":["Jung","Kee"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Young","Jin"],"suffixes":[]},{"propositions":[],"lastnames":["Saborowski"],"firstnames":["Joachim"],"suffixes":[]},{"propositions":[],"lastnames":["Chung"],"firstnames":["Dong","Jun"],"suffixes":[]},{"propositions":[],"lastnames":["Jung"],"firstnames":["Jin","Hyun"],"suffixes":[]}],"title":"Radial growth response of Pinus densiflora and Quercus spp. to topographic and climatic factors in South Korea","journal":"Journal of Plant Ecology","year":"2013","volume":"6","number":"5","pages":"380–392","issn":"17529921","url_pdf":"http://uni-goettingen.de/de/document/download/c7786d9cbd499a69c9a27fd282fef0ef.pdf/2013_J%20Plant%20Ecol_Byun_etal.pdf","abstract":"This study aimed to develop radial growth models and to predict the$\\$npotential spatial distribution of Pinus densiflora (Japanese red pine)$\\$nand Quercus spp. (Oaks) in South Korea, considering topographic and$\\$nclimatic factors.$\\$nWe used a dataset of diameter at breast height and radial growth$\\$nestimates of individual trees, topographic and climatic factors in$\\$nsystematic sample plots distributed over the whole of South Korea. On$\\$nthe basis that radial growth is attributed primarily to tree age, we$\\$ndeveloped a radial growth model employing tree age as an explanatory$\\$nvariable. We estimated standard growth (SG), defined as radial growth of$\\$nthe tree at age 30, to eliminate the influence of tree age on radial$\\$ngrowth. In addition, SG estimates including the Topographic Wetness$\\$nIndex, temperature and precipitation were calculated by the Generalized$\\$nAdditive Model.$\\$nAs a result of variogram analysis of SG, we found spatial$\\$nautocorrelation between SG, topographic and climatic factors.$\\$nIncremental temperature had negative impacts on radial growth of P.$\\$ndensiflora and positive impacts on that of Quercus spp. Precipitation$\\$nwas associated with positive effects on both tree species. Based on the$\\$nmodel, we found that radial growth of P. densiflora would be more$\\$nvulnerable than that of Quercus spp. to climatic factors. Through$\\$nsimulation with the radial growth model, it was predicted that P.$\\$ndensiflora stands would be gradually replaced with Quercus spp. stands$\\$nin eastern coastal and southern regions of South Korea in the future.$\\$nThe models developed in this study will be helpful for understanding the$\\$nimpact of climatic factors on tree growth and for predicting changes in$\\$ndistribution of P. densiflora and Quercus spp. due to climate change in$\\$nSouth Korea.","comment":"public","doi":"10.1093/jpe/rtt001","isbn":"1752-9921","keywords":"climate change,forest-cover change,general additive modelclimatic factors,standard radial growth","bibtex":"@Article{Byun2013,\r\n author = {Byun, Jae Gyun and Lee, Woo Kyun and Kim, Moonil and Kwak, Doo Ahn and Kwak, Hanbin and Park, Taejin and Byun, Woo Hyuk and Son, Yowhan and Choi, Jung Kee and Lee, Young Jin and Saborowski, Joachim and Chung, Dong Jun and Jung, Jin Hyun},\r\n title = {{Radial growth response of Pinus densiflora and Quercus spp. to topographic and climatic factors in South Korea}},\r\n journal = {Journal of Plant Ecology},\r\n year = {2013},\r\n volume = {6},\r\n number = {5},\r\n pages = {380--392},\r\n issn = {17529921},\r\n url_pdf = {http://uni-goettingen.de/de/document/download/c7786d9cbd499a69c9a27fd282fef0ef.pdf/2013_J%20Plant%20Ecol_Byun_etal.pdf},\r\n abstract = {This study aimed to develop radial growth models and to predict the$\\backslash$npotential spatial distribution of Pinus densiflora (Japanese red pine)$\\backslash$nand Quercus spp. (Oaks) in South Korea, considering topographic and$\\backslash$nclimatic factors.$\\backslash$nWe used a dataset of diameter at breast height and radial growth$\\backslash$nestimates of individual trees, topographic and climatic factors in$\\backslash$nsystematic sample plots distributed over the whole of South Korea. On$\\backslash$nthe basis that radial growth is attributed primarily to tree age, we$\\backslash$ndeveloped a radial growth model employing tree age as an explanatory$\\backslash$nvariable. We estimated standard growth (SG), defined as radial growth of$\\backslash$nthe tree at age 30, to eliminate the influence of tree age on radial$\\backslash$ngrowth. In addition, SG estimates including the Topographic Wetness$\\backslash$nIndex, temperature and precipitation were calculated by the Generalized$\\backslash$nAdditive Model.$\\backslash$nAs a result of variogram analysis of SG, we found spatial$\\backslash$nautocorrelation between SG, topographic and climatic factors.$\\backslash$nIncremental temperature had negative impacts on radial growth of P.$\\backslash$ndensiflora and positive impacts on that of Quercus spp. Precipitation$\\backslash$nwas associated with positive effects on both tree species. 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