Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE

Habitat, connectivity, and roadkill of Korea’s apex predator, the yellow-throated marten

Wanmo Kang https://orcid.org/0000-0002-8344-8809 A , Taeyoung Choi https://orcid.org/0000-0002-9197-2125 B , GoWoon Kim https://orcid.org/0000-0001-6348-4231 C and Donggul Woo https://orcid.org/0000-0002-1257-5990 D *
+ Author Affiliations
- Author Affiliations

A Department of Forest Environment and Systems, College of Science and Technology, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea.

B Bureau of Conservation Research, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, Chungcheongnam-do 33657, Republic of Korea.

C Seoul National University Asia Center (SNUAC), Seoul National University, Seoul 08826, Republic of Korea.

D Research Center for Endangered Species, National Institute of Ecology, 23 Gowol-gil, Yeongyang-eup, Yeongyang-gun, Gyeongsangbuk-do 36531, Republic of Korea.

* Correspondence to: donggul.woo@gmail.com

Handling Editor: Pablo Ferreras

Wildlife Research 51, WR21185 https://doi.org/10.1071/WR21185
Submitted: 22 December 2021  Accepted: 16 June 2023  Published: 18 July 2023

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

The yellow-throated marten (Martes flavigula), an endangered species in South Korea, is an important apex predator of that country’s temperate forest ecosystem. Human impacts on the landscape continue to threaten marten populations, for which there is insufficient understanding of critical habitats and areas required for population connectivity.

Aims

In this study, our aim was to develop models of habitat suitability and connectivity networks for the yellow-throated marten to inform comprehensive landscape conservation strategies.

Methods

We used an ensemble of five species distribution models (boosted regression trees, BRT; generalised linear model, GLM; multivariate adaptive regression spline, MARS, maximum entropy model, MaxEnt; and random forest, RF) to identify the main environmental factors influencing marten distribution and potential suitable habitats. We employed a network-based landscape lattice approach combined with circuit theory to predict the potential habitat linkages of martens, and we examined their relevance to marten roadkill.

Key results

Five species distribution models performed well with a range of test area under the curve (AUC) values from 0.809 to 0.826 (mean = 0.820) with true skill statistic values over 0.5. Elevation and the amount of vegetation cover were the first and second-most important factors for occurrence probability, and they generally exerted positive influences. Distances from human settlements and roads were also positively related to occurrence probability. We determined appropriate spatial resolutions for conserving functional habitat linkages, which are related to its roadkill distribution, and identified the distribution pattern of key linkage areas.

Conclusions

We effectively identified the potential distribution of marten habitats and linkages between them at regional and functional levels to maintain ecological processes.

Implications

The results and approaches presented here could be useful in understanding and delineating priority habitats and linkage areas for species conservation and landscape management.

Keywords: connectivity analysis toolkit, landscape permeability, network analysis, roadkill, SAHM, species distribution ensemble modeling, wildlife corridor, yellow-throated marten.

References

Ahmadi M, Nezami Balouchi B, Jowkar H, Hemami M-R, Fadakar D, Malakouti-Khah S, Ostrowski S (2017) Combining landscape suitability and habitat connectivity to conserve the last surviving population of cheetah in Asia. Diversity and Distributions 23, 592-603.
| Crossref | Google Scholar |

Allen AM, Singh NJ (2016) Linking movement ecology with wildlife management and conservation. Frontiers in Ecology and Evolution 3, 155.
| Crossref | Google Scholar |

Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43, 1223-1232.
| Crossref | Google Scholar |

Andrén H (1994) Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: a review. Oikos 71, 355-366.
| Crossref | Google Scholar |

Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends in Ecology & Evolution 22, 42-47.
| Crossref | Google Scholar |

Baguette M, Van Dyck H (2007) Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal. Landscape Ecology 22, 1117-1129.
| Crossref | Google Scholar |

Carroll C, McRae BH, Brookes A (2012) Use of linkage mapping and centrality analysis across habitat gradients to conserve connectivity of gray wolf populations in western North America. Conservation Biology 26, 78-87.
| Crossref | Google Scholar |

Dimiceli CM, Carroll ML, Sohlberg RA, Kim DH, Kelly M, Townshend JRG (2015) MOD44B MODIS/Terra vegetation continuous fields yearly L3 global 250m SIN grid V006 [dataset]. NASA EOSDIS Land Processes DAAC. Available at https://doi.org/10.5067/MODIS/MOD44B.006 [Accessed 21 September 2020]

Doherty TS, Driscoll DA (2018) Coupling movement and landscape ecology for animal conservation in production landscapes. Proceedings of the Royal Society B: Biological Sciences 285, 20172272.
| Crossref | Google Scholar |

Elith J (2002) Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants. In ‘Quantitative methods for conservation biology’. (Eds S Ferson, M Burgman) pp. 39–58. (Springer: New York)

ESRI (2016) ‘ArcGIS, Version 10.4.1.’ (ESRI: Redlands, California, USA)

ESRI (2021) ArcGIS – World Imagery Map Service. Available at https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9

Estes JA (1996) Predators and ecosystem management. Wildlife Society Bulletin 24, 390-396.
| Google Scholar |

Fabrizio M, Di Febbraro M, D’Amico M, Frate L, Roscioni F, Loy A (2019) Habitat suitability vs landscape connectivity determining roadkill risk at a regional scale: a case study on European badger (Meles meles). European Journal of Wildlife Research 65, 7.
| Crossref | Google Scholar |

Fahrig L (2001) How much habitat is enough? Biological Conservation 100, 65-74.
| Crossref | Google Scholar |

Franklin J (2009) ‘Mapping species distributions: spatial inference and prediction.’ (Cambridge University Press: New York, US)

Friedman JH (1991) Multivariate adaptive regression splines. The Annals of Statistics 19, 1-67.
| Crossref | Google Scholar |

Girardet X, Conruyt-Rogeon G, Foltête J-C (2015) Does regional landscape connectivity influence the location of roe deer roadkill hotspots? European Journal of Wildlife Research 61, 731-742.
| Crossref | Google Scholar |

Hayes MA, Piaggio AJ (2018) Assessing the potential impacts of a changing climate on the distribution of a rabies virus vector. PLoS ONE 13, e0192887.
| Crossref | Google Scholar |

Hon J, Hearn AJ, Ross J, Samejima H, Augeri DM, Mathai J, Mohamed A, Boonratana R, Fredriksson G, Cheyne SM, Heydon M, Rustam, Alfred R, Semiadi G, Bernard H, Macdonald DW, Belant JL, Kramer-Schadt S, Wilting A (2016) Predicted distribution of the yellow-throated marten Martes flavigula (Mammalia: Carnivora: Mustelidae) on Borneo. Raffles Bulletin of Zoology 33, 42-49.
| Google Scholar |

IBM Corp (2017) ‘IBM SPSS Statistics for Windows, Version 25.0.’ (IBM Corp: Armonk, NY)

Jones ME (2000) Road upgrade, road mortality and remedial measures: impacts on a population of eastern quolls and Tasmanian devils. Wildlife Research 27, 289-296.
| Crossref | Google Scholar |

Kang W, Minor ES, Woo D, Lee D, Park C-R (2016) Forest mammal roadkills as related to habitat connectivity in protected areas. Biodiversity and Conservation 25, 2673-2686.
| Crossref | Google Scholar |

Kautz R, Kawula R, Hoctor T, Comiskey J, Jansen D, Jennings D, Kasbohm J, Mazzotti F, McBride R, Richardson L, Root K (2006) How much is enough? Landscape-scale conservation for the Florida panther. Biological Conservation 130, 118-133.
| Crossref | Google Scholar |

Kim H-H, Lee J-H (2001) A study on the development and application of the probability of land use change. Journal of Korea Planning Association 36, 95-111 (in Korean with English abstract).
| Google Scholar |

Kim J-J, Kim S-D, Kang J-G, Kim J-K, Moon H-S (2011) Analysis of home range of Asiatic black bear released in Jirisan National Park. Journal of Agriculture & Life Science 45, 41-47 (in Korean with English abstract).
| Google Scholar |

Kim J-J, Kim J-W, Jung H-R, Chung J-M, Kang M-Y, Cho M-G, Moon H-S (2012) Analysis of acorn production of Quercus spp. in Mt. Jiri National Park. Journal of Agriculture & Life Science 46, 1-8 (in Korean with English abstract).
| Google Scholar |

Kirk TA (2007) Landscape-scale habitat associations of the American marten (Martes americana) in the greater southern Cascades region of California. Msc Thesis, Humboldt State University, California.

KDPA (2022) Korea Database on Protected Areas. Available at http://www.kdpa.kr/ [Accessed 26 December 2022]

Kwon I, Ryu S-G (2005) Empirical analysis of unbalanced population distribution of Korea. Journal of Korea Planning Association 40, 23-32 (in Korean with English abstract).
| Google Scholar |

Laliberte AS, Ripple WJ (2004) Range contractions of North American carnivores and ungulates. BioScience 54, 123-138.
| Crossref | Google Scholar |

Lee S, Lee S, Song W, Lee M-J (2017) Habitat potential mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea using artificial neural network machine learning. Applied Sciences 7, 912.
| Crossref | Google Scholar |

Lee H-J, Lee O-S, Woo D-G, Kim H-N, Wallace MC, Jo Y-S (2021) Current distribution and habitat models of the yellow-throated marten, Martes flavigula, in South Korea. Mammal Research 66, 429-441.
| Crossref | Google Scholar |

Leroux SJ, Kerr JT (2013) Land development in and around protected areas at the wilderness frontier. Conservation Biology 27, 166-176.
| Crossref | Google Scholar |

Liu C, White M, Newell G (2013) Selecting thresholds for the prediction of species occurrence with presence-only data. Journal of Biogeography 40, 778-789.
| Crossref | Google Scholar |

Liu C, Newell G, White M (2016) On the selection of thresholds for predicting species occurrence with presence-only data. Ecology and Evolution 6, 337-348.
| Crossref | Google Scholar |

Martin ME, Moriarty KM, Pauli JN (2021) Landscape seasonality influences the resource selection of a snow-adapted forest carnivore, the Pacific marten. Landscape Ecology 36, 1055-1069.
| Crossref | Google Scholar |

McRae BH, Dickson BG, Keitt TH, Shah VB (2008) Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology 89, 2712-2724.
| Crossref | Google Scholar |

Ministry of Environment of South Korea (ME) (2023) Environmental digital library. Available at https://library.me.go.kr/#/search/national-env/si?all=0&max=20&offset=0 [Accessed 15 January 2023]

Morisette JT, Jarnevich CS, Holcombe TR, Talbert CB, Ignizio D, Talbert MK, Silva C, Koop D, Swanson A, Young NE (2013) VisTrails SAHM: visualization and workflow management for species habitat modeling. Ecography 36, 129-135.
| Crossref | Google Scholar |

Morris T, Letnic M (2017) Removal of an apex predator initiates a trophic cascade that extends from herbivores to vegetation and the soil nutrient pool. Proceedings of the Royal Society B: Biological Sciences 284, 20170111.
| Crossref | Google Scholar |

National Institute of Biological Resources (NIBR) (2015) Korea’s endangered species. Available at https://species.nibr.go.kr/endangeredspecies/rehome/exlist/exlist_biodiv.jsp [Accessed 23 April 2020]

National Institute of Ecology of South Korea (NIE) (2016) Fundamental research on the conservation of national ecological network. 27–37, (in Korean with English abstract).
| Google Scholar |

National Institute of Environmental Research of South Korea (NIER) (2012) Endangered wildlife research to conserve ecological corridor. 1–31, (in Korean with English abstract).
| Google Scholar |

Newman MEJ (2005) A measure of betweenness centrality based on random walks. Social Networks 27, 39-54.
| Crossref | Google Scholar |

Oliver TH, Heard MS, Isaac NJB, Roy DB, Procter D, Eigenbrod F, Freckleton R, Hector A, Orme CDL, Petchey OL, Proença V, Raffaelli D, Suttle KB, Mace GM, Martín-López B, Woodcock BA, Bullock JM (2015) Biodiversity and resilience of ecosystem functions. Trends in Ecology & Evolution 30, 673-684.
| Crossref | Google Scholar |

OpenStreetMap contributors (2015) OpenStreetMap South Korea. Available at https://download.geofabrik.de/asia/south-korea.html [Accessed 21 September 2017]

Prevedello JA, Forero-Medina G, Vieira MV (2010) Movement behaviour within and beyond perceptual ranges in three small mammals: effects of matrix type and body mass. Journal of Animal Ecology 79, 1315-1323.
| Crossref | Google Scholar |

Prugh LR, Stoner CJ, Epps CW, Bean WT, Ripple WJ, Laliberte AS, Brashares JS (2009) The rise of the mesopredator. BioScience 59, 779-791.
| Crossref | Google Scholar |

Rabinowitz A, Zeller KA (2010) A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca. Biological Conservation 143, 939-945.
| Crossref | Google Scholar |

Rhim S-J, Lee W-S (2007) Influence of forest fragmentation on the winter abundance of mammals in Mt. Chirisan National Park, South Korea. Journal of Wildlife Management 71, 1404-1408.
| Crossref | Google Scholar |

Ripple WJ, Estes JA, Beschta RL, Wilmers CC, Ritchie EG, Hebblewhite M, Berger J, Elmhagen B, Letnic M, Nelson MP, Schmitz OJ, Smith DW, Wallach AD, Wirsing AJ (2014) Status and ecological effects of the world’s largest carnivores. Science 343, 1241484.
| Crossref | Google Scholar |

Roemer GW, Gompper ME, Van Valkenburgh B (2009) The ecological role of the mammalian mesocarnivore. BioScience 59, 165-173.
| Crossref | Google Scholar |

Salom-Pérez R, Corrales-Gutiérrez D, Araya-Gamboa D, Espinoza-Muñoz D, Finegan B, Petracca LS (2021) Forest cover mediates large and medium-sized mammal occurrence in a critical link of the Mesoamerican Biological Corridor. PLoS ONE 16, e0249072.
| Crossref | Google Scholar |

Seiler A, Helldin JO (2006) Mortality in wildlife due to transportation. In ‘The ecology of transportation: managing mobility for the environment’. (Eds J Davenport, JL Davenport) pp. 165–189. (Springer: Netherlands)

Sergio F, Caro T, Brown D, Clucas B, Hunter J, Ketchum J, McHugh K, Hiraldo F (2008) Top predators as conservation tools: ecological rationale, assumptions, and efficacy. Annual Review of Ecology, Evolution, and Systematics 39, 1-19.
| Crossref | Google Scholar |

Sharma S, Dutta T, Maldonado JE, Wood TC, Panwar HS, Seidensticker J (2013) Forest corridors maintain historical gene flow in a tiger metapopulation in the highlands of central India. Proceedings of the Royal Society B: Biological Sciences 280, 20131506.
| Crossref | Google Scholar |

Sharma LK, Mukherjee T, Saren PC, Chandra K (2019) Identifying suitable habitat and corridors for Indian Grey Wolf (Canis lupus pallipes) in Chotta Nagpur Plateau and Lower Gangetic Planes: a species with differential management needs. PLoS ONE 14, e0215019.
| Crossref | Google Scholar |

Stohlgren TJ, Ma P, Kumar S, Rocca M, Morisette JT, Jarnevich CS, Benson N (2010) Ensemble habitat mapping of invasive plant species. Risk Analysis 30, 224-235.
| Crossref | Google Scholar |

Virgós E, Cabezas-Díaz S, Mangas J, Lozano J (2010) Spatial distribution models in a frugivorous carnivore, the stone marten (Martes foina): is the fleshy-fruit availability a useful predictor? Animal Biology 60, 423-436.
| Crossref | Google Scholar |

Wallach AD, Ripple WJ, Carroll SP (2015) Novel trophic cascades: apex predators enable coexistence. Trends in Ecology & Evolution 30, 146-153.
| Crossref | Google Scholar |

With KA (2019) ‘Essentials of landscape ecology.’ (Oxford University Press: Oxford)

Woo D (2014) A study on ecological characteristics and conservation of yellow-throated marten. Doctoral thesis, Seoul National University, Seoul. p. 142 (in Korean with English abstract)

Woo D, Choi T, Kwon H, Lee S, Lee J (2015) The food habits and habitat use of yellow-throated martens (Martes flavigula) by snow tracking in Korean temperate forest during the winter. Journal of Environmental Impact Assessment 24, 532-548 (in Korean with English abstract).
| Crossref | Google Scholar |

Yang D-H, Kim B-H, Jung D-H, Jung D-H, Jeong W-J, Lee B-G (2008) The studies on characteristics of home range size and habitat use of the Asiatic black bear released in Jirisan. Korean Journal of Environment and Ecology 22, 427-434 (in Korean with English abstract).
| Google Scholar |

Zhou Y-B, Slade E, Newman C, Wang X-M, Zhang S-Y (2008) Frugivory and seed dispersal by the yellow-throated marten, Martes flavigula, in a subtropical forest of China. Journal of Tropical Ecology 24, 219-223.
| Crossref | Google Scholar |

Zhou Y-B, Newman C, Buesching CD, Zalewski A, Kaneko Y, Macdonald DW, Xie Z-Q (2011) Diet of an opportunistically frugivorous carnivore, Martes flavigula, in subtropical forest. Journal of Mammalogy 92, 611-619.
| Crossref | Google Scholar |