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| 1 | Radial growth response of Pinus densiflora and Quercus spp.to topographic and climatic factors in South Korea显示文摘Aims This study aimed to develop radial growth models and to predict the potential spatial distribution of Pinus densiflora(Japanese red pine)and Quercus spp.(Oaks)in South Korea,considering topographic and climatic factors.Methods We used a dataset of diameter at breast height and radial growth estimates of individual trees,topographic and climatic factors in systematic sample plots distributed over the whole of South Korea.On the basis that radial growth is attributed primarily to tree age,we developed a radial growth model employing tree age as an explanatory variable.We estimated standard growth(SG),defined as radial growth of the tree at age 30,to eliminate the influence of tree age on radial growth.In addition,SG estimates including the Topographic Wetness Index,temperature and precipitation were calculated by the Generalized Additive Model.Important Findings As a result of variogram analysis of SG,we found spatial autocorrelation between SG,topographic and climatic factors.Incremental temperature had negative impacts on radial growth of P.densiflora and positive impacts on that of Quercus spp.Precipitation was associated with positive effects on both tree species.Based on the model,we found that radial growth of P.densiflora would be more vulnerable than that of Quercus spp.to climatic factors.Through simulation with the radial growth model,it was predicted that P.densiflora stands would be gradually replaced with Quercus spp.stands in eastern coastal and southern regions of South Korea in the future.The models developed in this study will be helpful for understanding the impact of climatic factors on tree growth and for predicting changes in distribution of P.densiflora and Quercus spp.due to climate change in South Korea. | Jae Gyun Byun Woo Kyun Lee Moonil Kim Doo Ahn Kwak Hanbin Kwak Taejin Park Woo Hyuk Byun Yowhan Son Jung Kee Choi Young Jin Lee Joachim Saborowski Dong Jun Chung Jin Hyun Jung | 2013 | Journal of Plant Ecology2013，6，5： | 3 |
| 2 | A Ka - band 3 - bit RF MEMS true - time - delay network 显示文摘 | Hacker J B Mihailovich R E Moonil Kim | 2003 | IEEE Transactions on Microwave Theory and Techniques2003，51，1： | 1 |
| 3 | Surface plasmon resonance imaging analysis of protein–protein interactions using on-chip-expressed capture protein显示文摘 | Moonil Kim Kyoungsook Park Eun-Ju Jeong Yong-Beom Shin Bong Hyun Chung | 2006 | Analytical Biochemistry2006，，： | 1 |
| 4 | Aerobic waste activated sludge (WAS) for start-up seed of mesophilic and thermophilic anaerobic digestion显示文摘 | Moonil Kim Speece R E | 2002 | Water Res2002，36，15： | 1 |
| 5 | Use of Steady-State Biofilm Model to Characterize Aerobic Granular Sludge显示文摘 | CUI FENGHAO KIM MOONIL | 2013 | ENVIRONMENTAL SCIENCE & TECHNOLOGY2013，，12： | 1 |
| 6 | A Split Enhanced Green Fluorescent Protein-Based Reporter in Yeast Two-Hybrid System显示文摘 | Kyoungsook Park So Yeon Yi Chang-Soo Lee Kyoon Eon Kim Hyun-Sook Pai Dai-Wu Seol Bong Hyun Chung Moonil Kim | 2007 | The Protein Journal2007，，2： | 1 |
| 7 | Comparative process stability and efficiency of anaerobic digestion; mesophilic vs. thermophilic显示文摘 | Moonil Kim Young-Ho Ahn R.E Speece | 2002 | Water Research2002，，17： | 1 |
| 8 | Spatio-temporal change in forest cover and carbon storage considering actual and potential forest cover in South Korea显示文摘This study analyzes change in carbon storage by applying forest growth models and final cutting age to actual and potential forest cover for six major tree species in South Korea. Using National Forest Inventory data, the growth models were developed to estimate mean diameter at breast height, tree height, and number of trees for Pinus densiflora, Pinus koraiensis, Pinus rigida, Larix kaempferi, Castanea crenata and Quercus spp. stands. We assumed that actual forest cover in a forest type map will change into potential forest covers according to the Hydrological and Thermal Analogy Groups model. When actual forest cover reaches the final cutting age, forest volume and carbon storage are estimated by changed forest cover and its growth model. Forest volume between 2010 and 2110 would increase from 126.73 to 157.33 m3 hm-2. Our results also show that forest cover, volume, and carbon storage could abruptly change by 2060. This is attributed to the fact that most forests are presumed to reach final cutting age. To avoid such dramatic change, a regeneration and yield control scheme should be prepared and implemented in a way that ensures balance in forest practice and yield. | NAM Kijun LEE Woo-Kyun KIM Moonil KWAK Doo-Ahn BYUN Woo-Hyuk YU Hangnan KWAK Hanbin KWON Taesung SUNG Joohan CHUNG Dong-Jun LEE Seung-Ho | 2015 | Science China(Life Sciences)2015，58，7： | 1 |
| 9 | Assessing vulnerability of forests to climate change in South Korea显示文摘This study demonstrated a framework to assess vulnerability of forests to climate change. We focused on how alterations of temperature and precipitation might affect forest type distributions and carbon-related functions. In particular, our framework considered three sectors of forest type distribution, net primary production, and soil carbon storage. Future projections were derived from mechanistic models for South Korean forests under the A1 B scenarios of the intergovernmental panel on climate change. Forest type distributions were simulated by the Hydrological and thermal analogy group model, while the MAPSS and CENTURY1 models estimated forest carbon flux/storage. We quantified normalized vulnerability indices for each sector. Our results indicate that the overall vulnerability of forest type distribution is greater in the west central regions and southeastern inlands. The vulnerabilities of carbon flux/storage show that net primary production of South Korean forests is relatively less susceptible to climate change, but a highly vulnerable area of soil carbon storage mainly spreads from the west central to the south east region. The spatio-temporal vulnerability map with a synoptic overview from this study might be useful for policy makers in preparing adaptive measures and identifying management priorities. | Guishan Cui Hanbin Kwak Sungho Choi Moonil Kim Chul-Hee Lim Woo-Kyun Lee Joon-Soon Kim Yeora Chae | 2016 | Journal of Forestry Research2016，27，3： | 0 |
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