E-LIB Suche - Ergebnisse für: Lee, Dae-Seong

1

Evaluation of moth community changes and northward shifts i..:

Kwon, Tae-Sung ; Kim, Sung-Soo ; Gaget, Elie...
Global Ecology and Conservation. 49 (2024) - p. e02763 , 2024

Link: https://doi.org/10.1016/..

2

Predicting potential occurrence of Adelges tsugae (Homopter..:

Jeong, Yun Sang ; Lee, Dae-Seong ; Lee, Da-Yeong.
Global Ecology and Conservation. 50 (2024) - p. e02861 , 2024

Link: https://doi.org/10.1016/..

3

Analyzing retraction responses of Tubifex tubifex (Oligocha..:

Lee, Dae-Seong ; Kang, Hyejin ; Park, Young-Seuk
Environmental Science and Pollution Research. 31 (2024) 16 - p. 24559-24566 , 2024

Link: https://doi.org/10.1007/..

4

Data-driven models for predicting community changes in fres..:

Lee, Da-Yeong ; Lee, Dae-Seong ; Cha, YoonKyung..
Ecological Informatics. 77 (2023) - p. 102163 , 2023

Link: https://doi.org/10.1016/..

5

Lattice Structure and Spatial Network Models Incorporating ..:

Zhang, Xiaodong ; Lee, Dae-Seong ; Park, Young-Seuk...
Forests. 14 (2023) 3 - p. 552 , 2023

Link: https://doi.org/10.3390/..

6

Functional trait dataset of benthic macroinvertebrates in S..:

Adhurya, Sagar ; Lee, Da-Yeong ; Lee, Dae-Seong.
Scientific Data. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

7

Selection of climate variables in ant species distribution ..:

Kwon, Tae-Sung ; Lee, Dae-Seong ; Choi, Won IL..
International Journal of Biometeorology. 68 (2023) 2 - p. 263-277 , 2023

Link: https://doi.org/10.1007/..

8

Occurrence Prediction of Western Conifer Seed Bug (Leptoglo..:

Lee, Dae-Seong ; Lee, Tak-Gi ; Bae, Yang-Seop.
Forests. 14 (2023) 1 - p. 117 , 2023

Link: https://doi.org/10.3390/..

9

Taxonomic and Functional Diversity of Benthic Macroinverteb..:

Lee, Da-Yeong ; Lee, Dae-Seong ; Park, Young-Seuk
International Journal of Environmental Research and Public Health. 20 (2022) 1 - p. 673 , 2022

Link: https://doi.org/10.3390/..

10

Interpretable machine learning approach to analyze the effe..:

Lee, Dae-Seong ; Lee, Da-Yeong ; Park, Young-Seuk
Environmental Science and Pollution Research. 30 (2022) 1 - p. 532-546 , 2022

Link: https://doi.org/10.1007/..

11

Validity evaluation of a machine-learning model for chlorop..:

Woo Kim, Young ; Kim, TaeHo ; Shin, Jihoon...
Ecological Indicators. 137 (2022) - p. 108737 , 2022

Link: https://doi.org/10.1016/..

12

Ant Mortality with Food Competition in Forests along a Temp..:

Kwon, Tae-Sung ; Lee, Dae-Seong ; Park, Young-Seuk
Insects. 13 (2022) 4 - p. 392 , 2022

Link: https://doi.org/10.3390/..

13

Distribution patterns and vulnerability of stoneflies (Plec..:

Lee, Da-Yeong ; Lee, Dae-Seong ; Hwang, Soon-Jin..
Global Ecology and Conservation. 34 (2022) - p. e02030 , 2022

Link: https://doi.org/10.1016/..

14

An interpretable machine learning method for supporting eco..:

Cha, YoonKyung ; Shin, Jihoon ; Go, ByeongGeon...
Journal of Environmental Management. 291 (2021) - p. 112719 , 2021

Link: https://doi.org/10.1016/..

15

Predicting potential occurrence of pine wilt disease based ..:

Lee, Dae-Seong ; Choi, Won Il ; Nam, Youngwoo.
Ecological Informatics. 64 (2021) - p. 101378 , 2021

Link: https://doi.org/10.1016/..