Publications
Articles Published in Refereed International Journals:
(The underlined names indicate student authors at the time of paperwork; † Corresponding author)
2024
Kim, D.†, Lee, K., Grant, W.E. & Wang, H.-H. (2024) Simulating biogeomorphological coevolutionary feedback among pocket gophers, grassland vegetation, and the associated bioengineered landforms. Catena 234: 107551. doi.org/10.1016/j.catena.2023.107551.
Anderson, K., Tooth, S., Kim, D., Resler, L.M., Schillereff, D., Williams, J.W., Rocchini, D., Ponette-González, A.G., Kuhn, N. & Brian, J.V. (2024) A horizon scan for novel and impactful areas of physical geography research in 2023 and beyond. Progress in Physical Geography 48: 3-23.
2023
Lee, K., Lee, C., Baek, D., Park, G., Shim, T., Kim, W., Cho, K.-H. & Kim, D.† (2023) Vegetation destruction during an extreme flood: Multilevel modelling of an entire river in southern Korea. Hydrological Processes 37(12): e15051. doi.org/10.1002/hyp.15051
Kim, D.†, Song, I., Miralha, L., Hirmas, D.R., McEwan, R.W., Mueller, T.G. & Šamonil, P. (2023) Consequences of spatial structure in soil–geomorphic data on the results of machine learning models. Geocarto International 38: 2245381. doi.org/10.1080/10106049.2023.2245381.
Kim, D.† (2023) Modeling the long-term vegetation dynamics of a backbarrier salt marsh in the Danish Wadden Sea. Journal of Ecology and Environment 47: 06. doi.org/10.5141/jee.23.031.
Song, I. & Kim, D.† (2023) Three common machine learning algorithms neither enhance prediction accuracy nor reduce spatial autocorrelation in residuals: An analysis of twenty-five socioeconomic data sets. Geographical Analysis 55: 585-620.
Yim, J.S., Ohr, S., Nam, J. & Kim, D. (2023) Using dasymetric mapping applications towards the rapid appraisal of salt marsh blue carbon levels. Journal of Coastal Research SI 116: 235–239.
2022
Kim, D.† & Lee, K. (2022) Landforms as combined expressions of multiple reciprocally interacting species: Refining the ecosystem engineering concept. Earth-Science Reviews 232: 104152.
Lee, C., Lee, K., Kim, H., Baek, D., Kim, W., Woo, H., Cho, K.-H. & Kim, D.† (2022) Impacts of an extreme flood event on the riparian vegetation of a monsoonal cobble-bed stream in southern Korea: A multiscale fluvial biogeomorphic framework. River Research and Applications 38: 1101–1114.
2021
Kim, D.† (2021) Predicting the magnitude of residual spatial autocorrelation in geographical ecology. Ecography 44: 1121–1130.
Kim, D.† & Song, I. (2021) Predicting model improvement by accounting for spatial autocorrelation: A socio-economic perspective. The Professional Geographer 73: 131–149.
Bae, J. & Kim, D.† (2021) The interactions between wildfire, bamboo, and aerosols in the southwestern Amazon: A conceptual model. Progress in Physical Geography 45: 621–631.
2020
Kim, D.† & Ohr, S. (2020) Coexistence of plant species under harsh environmental conditions: An evaluation of niche differentiation and stochasticity along salt marsh creeks. Journal of Ecology and Environment 44: 19. doi.org/10.1186/s41610-020-00161-y.
Kim, D.†, Millington, A.C. & Lafon, C.W. (2020) Disturbance after disturbance: Combined effects of two successive hurricanes on forest community structure. Annals of the American Association of Geographers 110: 571–585.
2019
Kim, D.†, Millington, A.C. & Lafon, C.W. (2019) Biotic and spatial factors potentially explain the susceptibility of forests to direct hurricane damage. Journal of Ecology and Environment 43: 37. doi:10.1186/s41610-019-0135-2.
(Winner of the Best Paper of the Year Award, Korean Federation of Science & Technology Societies)
Kim, D.†, Šamonil, P., Jeong, G., Tejnecký, V., Drábek, O., Hruška, J. & Park, S.J. (2019) Incorporation of spatial autocorrelation improves soil–landform modeling at A and B horizons. Catena 183: 104226. doi.org/10.1016/j.catena.2019.104226.
Kim, D.†, Lee, J.-Y., Seo, J. & Song, I. (2019) Recolonization of native and invasive plants after large-scale clearance of a temperate coastal dunefield. Applied Geography 109: 102030. doi.org/10.1016/j.apgeog.2019.05.007.
Kim, D.† (2019) Selection of scale can reverse the importance of stochastic controls on community assembly. Physical Geography 40: 111–126.
Gaspard, G., Kim, D.† & Chun, Y. (2019) Residual spatial autocorrelation in macroecological and biogeographical modeling: A review. Journal of Ecology and Environment 43: 19. doi.org/10.1186/s41610-019-0118-3.
2018
Kim, D.† (2018) Modeling spatial and temporal dynamics of plant species richness across tidal creeks in a temperate salt marsh. Ecological Indicators 93: 188–195.
Kim, D.† (2018) Characterizing the pathway and rate of salt marsh vegetation dynamics: A multivariate approach. Estuaries and Coasts 41: 1370–1380.
Miralha, L. & Kim, D.† (2018) Accounting for and predicting the influence of spatial autocorrelation in water quality modeling. ISPRS International Journal of Geo-Information 7: 64. doi:10.3390/ijgi7020064.
Bartholdy, J., Brivio, L., Bartholdy, A.T., Kim, D. & Fruergaard, M. (2018) The Skallingen spit, Denmark: Birth of a back-barrier saltmarsh. Geo-Marine Letters 38: 153–166.
2017
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2016
Kim, D.† & Kupfer, J.A. (2016) Tri-variate relationships among vegetation, soil, and topography along gradients of fluvial biogeomorphic succession. PLOS ONE 11: e0163223. doi:10.1371/journal.pone.0163223.
Kim, D.† & Campbell, J.J.N. (2016) Effects of tree size, shade-tolerance, and spatial pattern on the mortality of woody plants in a semi-natural urban woodlot, central Kentucky, USA. The Professional Geographer 68: 436–450.
Kim, D.† & Shin, Y.H. (2016) Spatial autocorrelation potentially indicates the degree of changes in the predictive power of environmental factors for plant diversity. Ecological Indicators 60: 1130–1141.
Kim, D.†, Bartholdy, J. & Bartholdy, A.T. (2016) Varying patterns of vegetation dynamics across multiple levels of organization in a salt marsh of the Danish Wadden Sea. Hydrobiologia 771: 67–81.
Kim, D.†, Hirmas D.R., McEwan, R.W., Mueller, T.G., Park, S.J., Šamonil, P., Thompson, J.A. & Wendroth, O. (2016) Predicting the influence of multi-scale spatial autocorrelation on soil–landform modeling. Soil Science Society of America Journal 80: 409–419.
2015
Kim, D.†, DeWitt, T.J., Costa, C.S.B., Kupfer, J.A., McEwan, R.W. & Stallins, J.A. (2015) Beyond bivariate correlations: Three-block partial least squares illustrated with vegetation, soil, and topography. Ecosphere 6: 135. http://dx.doi.org/10.1890.ES15-0074.1.
Corenblit, D., Baas, A., Balke, T., Bouma, T., Fromard, F., Garófano-Gómez, V., González, E., Gurnell, A.M., Hortobágyi, B., Julien, F., Kim, D., Lambs, L., Stallins, J.A., Steiger, J., Tabacchi, E. & Walcker, R. (2015) Engineer pioneer plants respond to and affect geomorphic constraints similarly along water–terrestrial interfaces world-wide. Global Ecology and Biogeography 24: 1363–1376.
2014
Kim, D.† (2014) Rates of vegetation dynamics along elevation gradients in a backbarrier salt marsh of the Danish Wadden Sea. Estuaries and Coasts 37: 610–620.
Kim, D.† & Arthur, M.A. (2014) Changes in community structure and species–landform relationship after repeated fire disturbance in an oak-dominated temperate forest. Ecological Research 29: 661–671.
Bartholdy, J., Bartholdy, A.T., Kim, D. & Pedersen, J.T.P. (2014) On autochthonous organic production and its implication for the consolidation of temperate salt marshes. Marine Geology 351: 53–57.
2013
Kim, D.† (2013) Incorporation of multi-scale spatial autocorrelation in soil moisture–landscape modeling. Physical Geography 34: 441–455.
Kim, D.†, Cairns, D.M. & Bartholdy, J. (2013) Tidal creek morphology and sediment type influence spatial trends in salt marsh vegetation. The Professional Geographer 65: 544–560.
(Winner of the 2012 J. Warren Nystrom Award, American Association of Geographers)
Kim, D.†, Grant, W.E., Cairns, D.M. & Bartholdy, J. (2013) Effects of the North Atlantic Oscillation and wind waves on salt marsh dynamics: A quantitative model as proof of concept. Geo-Marine Letters 33: 253–261.
Kim, D.† & Phillips, J.D. (2013) Predicting the structure and mode of vegetation dynamics: An application of graph theory to state-and-transition models. Ecological Modelling 265: 64–73.
2012
Kim, D.† (2012) Biogeomorphic feedbacks drive dynamics of vegetation–landform complex in a coastal riparian system. Ecosphere 3: 74. http://dx.doi.org/10.1890/ES12-00028.1.
Kim, D.†, Cairns, D.M., Bartholdy, J. & Morgan, C.L.S. (2012) Scale-dependent correspondence of floristic and edaphic gradients across salt marsh creeks. Annals of the Association of American Geographers 102: 276–294.
Park, E.J., Yu, K.B., Ku, C.Y., Psuty, N.P., Kim, D. & Shin, Y.H. (2012) Short-term sedimentation processes and accretion rates in the Sunchon Bay estuarine marsh, South Korea. Journal of Coastal Research 28: 1057–1067.
2011
Kim, D.† & Zheng, Y. (2011) Scale-dependent predictability of DEM-based landform attributes for soil spatial variability in a coastal dune system. Geoderma 164: 181–194.
Kim, D.†, Cairns, D.M. & Bartholdy, J. (2011) Wind-driven sea-level variation influences dynamics of salt marsh vegetation. Annals of the Association of American Geographers 101: 231–248.
Kim, D.†, Bartholdy, J., Jung, S. & Cairns, D.M. (2011) Salt marshes as potential indicators of global climate change. Geography Compass 5: 219–236.
2010
Kim, D.†, Cairns, D.M. & Bartholdy, J. (2010) Environmental controls on multiscale spatial pattern of salt marsh vegetation. Physical Geography 31: 58–78.
2009
Kim, D.† & Yu, K.B. (2009) A conceptual model of coastal dune ecology synthesizing spatial gradients of vegetation, soil, and geomorphology. Plant Ecology 202: 135–148.
Kim, D.†, Cairns, D.M. & Bartholdy, J. (2009) Spatial heterogeneity and domain of scale on the Skallingen salt marsh, Denmark. Danish Journal of Geography 109: 95–104.
Kim, D.†, Cairns, D.M. & Bartholdy, J. (2009) Scale-dependent interactions and community structure along environmental gradients on a coastal salt marsh. Journal of Coastal Research SI 56: 429–433.
Filippi, A.M., Brannstrom, C., Dobreva, I., Cairns, D.M. & Kim, D. (2009) Unsupervised fuzzy ARTMAP classification of hyperspectral Hyperion data for savanna and agriculture discrimination in the Brazilian Cerrado. GIScience & Remote Sensing 46: 1–23.
2008
Kim, D.†, Yu, K.B. & Park, S.J. (2008) Identification and visualization of complex spatial pattern of coastal dune soil properties using GIS-based terrain analysis and geostatistics. Journal of Coastal Research 24(4C): 50–60.
Articles Published in Refereed Korean Journals:
(The underlined names indicate student authors at the time of paperwork)
Lee, K., Son, D., Kim, D., Kupfer, J.A. & Kim, D.† (2024) Difficulties in studying fluvial biogeomorphological feedback processes. Journal of the Korean Geomorphological Association 31: 15–26 (in Korean).
Park, G., Lee, K. & Kim, D.† (2023) Spatial variations in salt marsh microtopography and soil properties induced by combined ecosystem engineering: A case study of crab and Suaeda maritima in the Sorae marsh ecological park, Incheon. Journal of the Korean Geomorphological Association 30: 57–71 (in Korean).
Lee, K., Cho, E., Cho, J., Lee, C., Kim, H., Baek, D., Kim, W., Cho, K.-H. & Kim, D.† (2022) Spatial point pattern analysis of riparian tree distribution after the 2020 summer extreme flood in the Seomjin River. Ecology and Resilient Infrastructure 9: 83–92 (in Korean).
Lee, C., Lee, K., Kim, H., Baek, D., Kim, W., Kim, D., Lee, H., Woo, H. & Cho, K.-H. (2021) The interrelationship between riparian vegetation and hydraulic characteristics during the 2020 summer extreme flood in the Seomjin-gang River, South Korea. Ecology and Resilient Infrastructure 8: 79–87 (in Korean).
Kim, D.† (2021) An overview and outlook of biogeomorphic research trend in the Korean geographical society. Journal of the Korean Geographical Society 56: 95–112 (in Korean).
Kim, D., Kim, W., Kim, E., Ock, G., Jang, C.-L., Choi, M. & Cho, K.-H. (2020) Applications and perspectives of fluvial biogeomorphology in the stream management of South Korea. Ecology and Resilient Infrastructure 7: 1–14 (in Korean).
Yu, K.B., Shin, Y.H., Kim, D. & Kim, S.H. (2012) Spatio–temporal variation of incoming nutrient into the Sindu coastal dune, Korea. Journal of the Korean Geographical Society 47: 159–314 (in Korean).
Park, S.J., Ruecker, G.R., Agyare, W.A., Akramhanov, A., Kim, D. & Vlek, P.L.G. (2009) Influence of grid cell size and flow routing algorithm on soil–landform modeling. Journal of the Korean Geographical Society 44: 122–145 (in English).
Kim, D.† (2004) Spatial distribution of nutrients from sea water and aeolian sands in a coastal dunefield, South Korea. Journal of Geography 43: 57–79 (in Korean).
Books:
Shin, B.S., Kim, D., Park, J. & Ju, B.-J. (2022) Climate Change and Social Transformation. Sahoipyoungnonacademy (사회평론아카데미), Seoul (In Korean).
Kim, E., Kwon, H., Kim, D., Shin, H., Lee, G., Park, J.M. & Lee, J. (2022) Campus Impact 2021. Zininzin (진인진), Gwacheon (in Korean).
Lee, G., Lee, J.-Y., Kim, Y., Kim, Y., Sohn, J., Lee, G., Lee, S.-C., Jeong, G.Y., Chung, S.-Y., Hong, S.-Y., Kim, D. & Park, J. (2022) Key Methods in Geography (지리학 연구방법론). Purungil, Seoul (translated into Korean from Clifford et al., 2010).
Park, S.J., Hwang, C.S., Park, J., Kim, D. & others (2020) National Atlas of Korea II: Physical Geography. National Geographic Information Institute.
Yu, K.B., Shin, Y.H., Kim, D. & Kim, S.H. (2012) Coastal Dunes in Western Korea as Biological Habitats. Seoul National University Press, Seoul (in Korean).
Book Reviews:
Kim, D. (2011) Comparative Biogeography: Discovering and Classifying Biogeographical Patterns of a Dynamic Earth by Lynne R. Parenti and Malte C. Ebach & Mapping Species Distributions: Spatial Inference and Prediction by Janet Franklin. Annals of the Association of American Geographers 101: 1384–1386.
Encyclopedia Contribution:
Kim, D. (2017) Complexity in biogeography, In: Richardson, D. and others (eds.), The International Encyclopedia of Geography, Wiley–Blackwell and AAG.
Kim, D. (2015) Vegetation dynamics, In: The McGraw–Hill Education Encyclopedia (Yearbook of Science & Technology), McGraw–Hill, pp. 370–372.
Kim, D. (2010) Complex systems models, In: Warf, B. (ed.), Encyclopedia of Geography, Vol. 2, SAGE Publications, London, pp. 561–567.