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2025 Vol.12, Issue 4 Preview Page

Original Article

31 December 2025. pp. 279-290
Abstract
References
1

Adamo, M., Voyron, S., Chialva, M., Marmeisse, R., and Girlanda, M. 2020. Metabarcoding on both environmental DNA and RNA highlights differences between fungal communities sampled in different habitats. PLoS One 15(12): e0244682.

10.1371/journal.pone.024468233378355PMC7773206
2

Ando, H., Mukai, H., Komura, T., Dewi, T., Ando, M., and Isagi, Y. 2020. Methodological trends and perspectives of animal dietary studies by noninvasive fecal DNA metabarcoding. Environmental DNA 2(4): 391-406.

10.1002/edn3.117
3

Bänsch, S., Tscharntke, T., Wünschiers, R., Netter, L., Brenig, B., Gabriel, D., and Westphal, C. 2020. Using ITS2 metabarcoding and microscopy to analyse shifts in pollen diets of honey bees and bumble bees along a mass‐flowering crop gradient. Molecular Ecology 29(24): 5003-5018.

10.1111/mec.15675
4

Burgar, J.M., Murray, D.C., Craig, M.D., Haile, J., Houston, J., Stokes, V., and Bunce, M. 2014. Who's for dinner? High‐throughput sequencing reveals bat dietary differentiation in a biodiversity hotspot where prey taxonomy is largely undescribed. Molecular Ecology 23(15): 3605-3617.

10.1111/mec.12531
5

Chen, S., Yao, H., Han, J., Liu, C., Song, J., Shi, L., ... and Leon, C. 2010. Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PLoS One 5(1): e8613.

10.1371/journal.pone.000861320062805PMC2799520
6

Deagle, B.E., Thomas, A.C., McInnes, J.C., Clarke, L.J., Vesterinen, E.J., Clare, E.L., ... and Eveson, J.P. 2019. Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? Molecular Ecology 28(2): 391-406.

10.1111/mec.1473429858539PMC6905394
7

Gong, M., Ning, Y., Han, M., Zhao, C., Tian, J., Li, L., ... and Liu, G. 2019. A comparison of next-generation sequencing with clone sequencing in the diet analysis of Asian great bustard. Conservation Genetics Resources 11(1): 15-17.

10.1007/s12686-017-0952-5
8

Gueuning, M., Ganser, D., Blaser, S., Albrecht, M., Knop, E., Praz, C., and Frey, J.E. 2019. Evaluating next‐generation sequencing (NGS) methods for routine monitoring of wild bees: Metabarcoding, mitogenomics or NGS barcoding. Molecular Ecology Resources 19(4): 847-862.

10.1111/1755-0998.1301330912868PMC6850489
9

Guo, G. and Zhang, E. 2005. Diet of the Chinese water deer (Hydropotes inermis) in Zhoushan Archipelago, China. Acta Theriologica Sinica 25: 122-130.

10

Harris, R.B. and Duckworth, J.W. 2015. Hydropotes inermis. in The IUCN Red List of Threatened Species 2015 (e. T10329A22163569). International Union for Conservation of Nature.

11

Hawlitschek, O., Fernandez-Gonzalez, A., Balmori-de la Puente, A., and Castresana, J. 2018. A pipeline for metabarcoding and diet analysis from fecal samples developed for a small semi-aquatic mammal. PLoS One 13(8): e0201763.

10.1371/journal.pone.020176330106960PMC6091967
12

Hofmann, R.R. 1989. Evolutionary steps of ecophysiological adaptation and diversification of ruminants: a comparative view of their digestive system. Oecologia 78(4): 443-457.

10.1007/BF00378733
13

Hu, J., Fang, S.G., and Wan, Q.H. 2006. Genetic diversity of Chinese water deer (Hydropotes inermis inermis): implications for conservation. Biochemical Genetics 44(3): 156-167.

10.1007/s10528-006-9020-7
14

illumina. 2025a. Sequences for Nextera, Illumina Prep, and Illumina PCR Kits (Document # 1000000002694 v21). https://support-docs.illumina.com/SHARE/AdapterSequences/Content/SHARE/AdapterSeq/Nextera/SequencesNextera_Illumina.htm. Accessed 10 September 2025.

15

illumina. 2025b. Nextera DNA Indexes (Document # 1000000002694 v21). https://support-docs.illumina.com/SHARE/AdapterSequences/Content/SHARE/AdapterSeq/Nextera/NexteraDNAIndexes.htm. Accessed 10 September 2025.

16

Jang‐Liaw, N.H. 2021. A barcoding‐based scat‐analysis assessment of Eurasian otter Lutra lutra diet on Kinmen Island. Ecology and Evolution 11(13): 8795-8813.

10.1002/ece3.771234257929PMC8258194
17

Joo, S., An, I., and Kim, S.S. 2023. Dietary composition of two coexisting bat species, Myotis ikonnikovi and Plecotus ognevi, in the Mt. Jumbong forests, South Korea. Journal of Ecology and Environment 47.

10.5141/jee.23.049
18

Kim, B.J., Lee, N.S., and Lee, S.D. 2011a. Feeding diets of the Korean water deer (Hydropotes inermis argyropus) based on a 202 bp rbcL sequence analysis. Conservation Genetics 12(3): 851-856.

10.1007/s10592-011-0192-2
19

Kim, B.J., Oh, D.H., Chun, S.H., and Lee, S.D. 2011b. Distribution, density, and habitat use of the Korean water deer (Hydropotes inermis argyropus) in Korea. Landscape and Ecological Engineering 7(2): 291-297.

10.1007/s11355-010-0127-y
20

Kim, E., Kim, T., Kim, H., Lim, S., and Park, Y. 2021a. A Study on the Behavioral Ecology of Water Deer (Hydropotes inermis) According to Different Habitat Environment. Journal of National Park Research 12(2): 85-96. (in Korean)

10.54406/jnpr.2021.12.2.085
21

Kim, G., and Kim, J. 2001. Evaluation of Ecological Niche for Major Tree Species in the Natural Deciduous Forest of Mt. Chumbong. Journal of Korean Society of Forest Science 90(3): 380-387.

22

Kim, J., Joo, S., and Park, S. 2021b. Diet composition of Korean water deer (Hydropotes inermis argyropus) from the Han River Estuary Wetland in Korea using fecal DNA. Mammalia 85(6): 487-493.

10.1515/mammalia-2021-0010
23

Korea Forest Service. 2024. The 5th Map of forest type. https://www.forest.go.kr/newkfsweb/html/HtmlPage.do?pg=/fgis/UI_KFS_5002_020100.html&mn=KFS_02_04_03_04_01&orgId=fgis. Accessed 11 Sep 2025.

24

Korea National Arboretum. 2012. Report on the Inventory of Vascular Plants and Wild Animals in Mt. Jumbong Experimental Forest of Korea National Arboretum. 11-1400119-000174-01, Pocheon, Gyeonggi, Korea. (in Korean)

25

Lee, S., Woo, C., Lee, E., and Yamamoto, N. 2022. Using high-throughput sequencing to investigate the dietary composition of the Korean water deer (Hydropotes inermis argyropus): a spatiotemporal comparison. Scientific Reports 12(1): 22271.

10.1038/s41598-022-26862-z36564425PMC9789119
26

Li, Z., Khattak, R.H., Han, X., Zhang, N., Wu, J., Liu, Z., and Teng, L. 2023. Distribution update of water deer (Hydropotes inermis) and prediction of their potential distribution in Northeast China. Scientific Reports 13(1): 5610.

10.1038/s41598-023-32314-z37019922PMC10076520
27

Liu, G., Zhang, S., Zhao, X., Li, C., and Gong, M. 2021. Advances and limitations of next generation sequencing in animal diet analysis. Genes 12(12): 1854.

10.3390/genes1212185434946803PMC8701983
28

Ministry of Environment. 2025. Wildlife Protection and Management Act.

29

Miya, M., Sato, Y., Fukunaga, T., Sado, T., Poulsen, J.Y., Sato, K., ... and Iwasaki, W. 2015. MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species. Royal Society Open Science 2(7): 150088.

10.1098/rsos.15008826587265PMC4632578
30

Moorhouse-Gann, R.J., Dunn, J.C., De Vere, N., Goder, M., Cole, N., Hipperson, H., and Symondson, W.O. 2018. New universal ITS2 primers for high-resolution herbivory analyses using DNA metabarcoding in both tropical and temperate zones. Scientific Reports 8(1): 8542.

10.1038/s41598-018-26648-229867115PMC5986805
31

National Institute of Biological Resources. 2023. Biodiversity of the Korean Peninsula. https://species.nibr.go.kr/index.do. Accessed 29 Aug 2025. (in Korean)

32

National Recreation Forest Management Office. n.d.. Information on Gombaeryeong, Mt. Jumbong Forest Ecosystem Exploration program. https://www.foresttrip.go.kr/pot/frtrl/et/selectEcoTravel1.do?hmpgId=ID05030005&menuId=002002002. Accessed 20 Sep 2025 (in Korean)

33

Oksanen, J., Simpson, G., Blanchet, F., Kindt, R., Legendre, P., Minchin, P., O’Hara, R., Solymos, P., Stevens, M., Szöcs, E., Wagner, H., Barbour, M., Bedward, M., Bolker, B., Borcard, D., Carvalho, G., Chirico, M., de Caceres, M., Durand, S., Evangelista, H., FitzJohn, R., Friendly, M., Furneaux, B., Hannigan, G., Hill, M., Lahti, L., McGlinn, D., Ouellette, M., Ribeiro Cunha, E., Smith, T., Stier, A., Ter Braak, C., Weedon, J., and Borman, T. 2025. vegan: Community ecology package (R package version 2.6-10). https://CRAN.R-project.org/package=vegan. Accessed 1 Oct 2025.

34

Park, D., Lee, M., and Chae, J. 2008. Tow Case study on Wild Animals Damage and Its Countermeasure. Journal of Agricultural Extension & Community Development 15(1): 113-144. (in Korean)

35

Park, H. and Lee, S. 2013. Habitat Use Pattern of Korean Waterdeer based on the Land Coverage Map. Journal of Wetlands Research 15(4): 567-572. (in Korean)

10.17663/JWR.2013.15.4.567
36

Park, J., Kim, B., Oh, D., Lee, H., and Lee, S. 2011. Feeding Habit Analysis of the Korean Water Deer (Hydropotes inermis argyropus). Korean Journal of Environment and Ecology 25(6): 836-845. (in Korean)

37

Pompanon, F., Deagle, B.E., Symondson, W.O., Brown, D.S., Jarman, S.N., and Taberlet, P. 2012. Who is eating what: diet assessment using next generation sequencing. Molecular Ecology 21(8): 1931-1950.

10.1111/j.1365-294X.2011.05403.x
38

Richardson, R.T., Lin, C.H., Sponsler, D.B., Quijia, J.O., Goodell, K., and Johnson, R.M. 2015. Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem. Applications in Plant Sciences 3(1): 1400066.

10.3732/apps.140006625606352PMC4298230
39

Schilling, A.M., and Rössner, G.E. 2017. The (sleeping) Beauty in the Beast - a review on the water deer, Hydropotes inermis. Hystrix 28(2): 121.

40

Skelton, J., Cauvin, A., and Hunter, M.E. 2023. Environmental DNA metabarcoding read numbers and their variability predict species abundance, but weakly in non‐dominant species. Environmental DNA 5(5): 1092-1104.

10.1002/edn3.355
41

Sonsthagen, S.A., Jay, C.V., Cornman, R.S., Fischbach, A.S., Grebmeier, J.M., and Talbot, S.L. 2020. DNA metabarcoding of feces to infer summer diet of Pacific walruses. Marine Mammal Science 36(4): 1196-1211.

10.1111/mms.12717
42

Swift, J.F., Lance, R.F., Guan, X., Britzke, E.R., Lindsay, D.L., and Edwards, C.E. 2018. Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations. Evolutionary Applications 11(7): 1120-1138.

10.1111/eva.1264430026801PMC6050187
43

Zhang, E. 2000. Daytime activity budgets of the Chinese water deer. Mammalia 64(2): 163-172.

10.1515/mamm.2000.64.2.163
Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 12
  • No :4
  • Pages :279-290
  • Received Date : 2025-11-14
  • Revised Date : 2025-11-27
  • Accepted Date : 2025-11-27