Engineer pioneer plants respond to and affect geomorphic constraints similarly along water–terrestrial interfaces world‐wide D Corenblit, A Baas, T Balke, T Bouma, F Fromard, V Garófano‐Gómez, ... Global Ecology and Biogeography 24 (12), 1363-1376, 2015 | 161 | 2015 |
A conceptual model of coastal dune ecology synthesizing spatial gradients of vegetation, soil, and geomorphology D Kim, KB Yu Plant Ecology 202, 135-148, 2009 | 121 | 2009 |
Residual spatial autocorrelation in macroecological and biogeographical modeling: a review G Gaspard, D Kim, Y Chun Journal of Ecology and Environment 43 (1), 1-11, 2019 | 76 | 2019 |
Scale-dependent predictability of DEM-based landform attributes for soil spatial variability in a coastal dune system D Kim, Y Zheng Geoderma 164 (3-4), 181-194, 2011 | 45 | 2011 |
Identification and visualization of complex spatial pattern of coastal dune soil properties using GIS-based terrain analysis and geostatistics D Kim*, K Bae Yu, S Jin Park Journal of Coastal Research, 50-60, 2008 | 36 | 2008 |
Environmental controls on multiscale spatial patterns of salt marsh vegetation D Kim, DM Cairns, J Bartholdy Physical Geography 31 (1), 58-78, 2010 | 35 | 2010 |
Scale-dependent correspondence of floristic and edaphic gradients across salt marsh creeks D Kim, DM Cairns, J Bartholdy, CLS Morgan Annals of the Association of American Geographers 102 (2), 276-294, 2012 | 32 | 2012 |
Wind-driven sea-level variation influences dynamics of salt marsh vegetation D Kim, DM Cairns, J Bartholdy Annals of the Association of American Geographers 101 (2), 231-248, 2011 | 31 | 2011 |
Accounting for and predicting the influence of spatial autocorrelation in water quality modeling L Miralha, D Kim ISPRS International Journal of Geo-Information 7 (2), 64, 2018 | 29 | 2018 |
Coexistence of plant species under harsh environmental conditions: an evaluation of niche differentiation and stochasticity along salt marsh creeks D Kim, S Ohr Journal of Ecology and Environment 44, 1-16, 2020 | 26 | 2020 |
Spatial autocorrelation potentially indicates the degree of changes in the predictive power of environmental factors for plant diversity D Kim, YH Shin Ecological indicators 60, 1130-1141, 2016 | 26 | 2016 |
Influence of grid cell size and flow routing algorithm on soil-landform modeling SJ Park, GR Ruecker, WA Agyare, A Akramhanov, D Kim, PLG Vlek Journal of the Korean Geographical Society 44 (2), 122-145, 2009 | 25 | 2009 |
Tidal creek morphology and sediment type influence spatial trends in salt marsh vegetation D Kim, DM Cairns, J Bartholdy The Professional Geographer 65 (4), 544-560, 2013 | 23 | 2013 |
Biogeomorphic feedbacks drive dynamics of vegetation–landform complex in a coastal riparian system D Kim Ecosphere 3 (8), 1-16, 2012 | 22 | 2012 |
Incorporation of multi-scale spatial autocorrelation in soil moisture–landscape modeling D Kim Physical Geography 34 (6), 441-455, 2013 | 20 | 2013 |
Tri-variate relationships among vegetation, soil, and topography along gradients of fluvial biogeomorphic succession D Kim, JA Kupfer PloS one 11 (9), e0163223, 2016 | 19 | 2016 |
Predicting the magnitude of residual spatial autocorrelation in geographical ecology D Kim Ecography 44 (7), 1121-1130, 2021 | 17 | 2021 |
Modeling spatial and temporal dynamics of plant species richness across tidal creeks in a temperate salt marsh D Kim Ecological Indicators 93, 188-195, 2018 | 17 | 2018 |
Rates of vegetation dynamics along elevation gradients in a backbarrier salt marsh of the Danish Wadden Sea D Kim Estuaries and coasts 37, 610-620, 2014 | 16 | 2014 |
Salt marshes as potential indicators of global climate change D Kim, J Bartholdy, S Jung, DM Cairns Geography Compass 5 (5), 219-236, 2011 | 16 | 2011 |