IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3112-d1062180.html
   My bibliography  Save this article

Genetic Monitoring of the Last Captive Population of Greater Mouse-Deer on the Thai Mainland and Prediction of Habitat Suitability before Reintroduction

Author

Listed:
  • Wongsathit Wongloet

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    These authors contributed equally to this work.)

  • Prach Kongthong

    (Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand)

  • Aingorn Chaiyes

    (School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Pakkret Nonthaburi 11120, Thailand
    These authors contributed equally to this work.)

  • Worapong Singchat

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    These authors contributed equally to this work.
    These authors joint last author.)

  • Warong Suksavate

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Nattakan Ariyaraphong

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Thitipong Panthum

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Artem Lisachov

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Kitipong Jaisamut

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Jumaporn Sonongbua

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Trifan Budi

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Wannapa Wannakan

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Worawit Thienpreecha

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Paanwaris Paansri

    (Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Syed Farhan Ahmad

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    The International Undergraduate Program in Bioscience and Technology, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

  • Kriangsak Sribuarod

    (Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand)

  • Umphornpimon Prayoon

    (Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand)

  • Pakpoom Aramsirirujiwet

    (Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand)

  • Wiyada Chamchumroon

    (Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand)

  • Narongrit Muangmai

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand)

  • Prateep Duengkae

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    These authors joint last author.)

  • Kornsorn Srikulnath

    (Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
    Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand)

Abstract

Developing successful conservation programs for genetically depleted species is challenging. Survival and adaptive potential are related to genetic and habitat factors; therefore, conservation programs are designed to minimize risks associated with inbreeding and loss of genetic diversity. The greater mouse-deer ( Tragulus napu ) is a true forest species that contributes to seed distribution dynamics in forests. However, with continuous demographic decline over the last century in the wild, only captive populations of the greater mouse-deer remain on the Thai mainland. A restoration program initiated 20 years ago has increased their population to more than 100 individuals but maintaining high genetic diversity in a small captive population is crucial for successful recovery. Microsatellite genotyping and mitochondrial D-loop and SRY gene sequence analyses were performed to examine the genetic diversity and population structure in 123 greater mouse-deer (64 females and 59 males). Highly reduced effective captive population size with trends of inbreeding were observed. No historical bottleneck was observed. These conditions have reduced their reproductive fitness and ability to adapt to environmental change, increasing the risk of population decline and eventual extinction. Demographic analyses suggested a recent captive population expansion due to effective animal welfare and reproduction. The results also suggested that population size at equilibrium is the main factor of allelic diversity (number of alleles). Large habitat carrying capacity, representing each fixed captive population size can support the genetic diversity of greater mouse-deer. We also identified suitable habitat areas for reintroduction and long-term in situ conservation of greater mouse-deer using maximum entropy modeling. Based on the environmental variables, species distribution modeling for greater mouse-deer indicated lowland tropical forest regions in the Khlong Saeng-Khao Sok forest complexes as most suitable and requiring urgent habitat improvement. These findings highlight the relevance of careful genetic monitoring and habitat suitability for the long-term conservation of greater mouse-deer and enhance the success of future conservation plans.

Suggested Citation

  • Wongsathit Wongloet & Prach Kongthong & Aingorn Chaiyes & Worapong Singchat & Warong Suksavate & Nattakan Ariyaraphong & Thitipong Panthum & Artem Lisachov & Kitipong Jaisamut & Jumaporn Sonongbua & T, 2023. "Genetic Monitoring of the Last Captive Population of Greater Mouse-Deer on the Thai Mainland and Prediction of Habitat Suitability before Reintroduction," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3112-:d:1062180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3112/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3112/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peterson, A. Townsend & Papeş, Monica & Soberón, Jorge, 2008. "Rethinking receiver operating characteristic analysis applications in ecological niche modeling," Ecological Modelling, Elsevier, vol. 213(1), pages 63-72.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    2. Ramos, Rodrigo Soares & Kumar, Lalit & Shabani, Farzin & Picanço, Marcelo Coutinho, 2019. "Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 524-535.
    3. Lin, Yu-Pin & Wang, Cheng-Long & Yu, Hsiao-Hsuan & Huang, Chung-Wei & Wang, Yung-Chieh & Chen, Yu-Wen & Wu, Wei-Yao, 2011. "Monitoring and estimating the flow conditions and fish presence probability under various flow conditions at reach scale using genetic algorithms and kriging methods," Ecological Modelling, Elsevier, vol. 222(3), pages 762-775.
    4. Martín, Gerardo & Yáñez-Arenas, Carlos & Chiappa-Carrara, Xavier, 2022. "Discrepancies between point process models and environmental envelopes identify the niche centroid – geography configuration," Ecological Modelling, Elsevier, vol. 469(C).
    5. Soria-Auza, Rodrigo W. & Kessler, Michael & Bach, Kerstin & Barajas-Barbosa, Paola M. & Lehnert, Marcus & Herzog, Sebastian K. & Böhner, Jürgen, 2010. "Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia," Ecological Modelling, Elsevier, vol. 221(8), pages 1221-1229.
    6. Yinglian Qi & Xiaoyan Pu & Yaxiong Li & Dingai Li & Mingrui Huang & Xuan Zheng & Jiaxin Guo & Zhi Chen, 2022. "Prediction of Suitable Distribution Area of Plateau pika ( Ochotona curzoniae ) in the Qinghai–Tibet Plateau under Shared Socioeconomic Pathways (SSPs)," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    7. Carlos Yañez-Arenas & A. Townsend Peterson & Karla Rodríguez-Medina & Narayani Barve, 2016. "Mapping current and future potential snakebite risk in the new world," Climatic Change, Springer, vol. 134(4), pages 697-711, February.
    8. Daniela Remolina-Figueroa & David A. Prieto-Torres & Wesley Dáttilo & Ernesto Salgado Díaz & Laura E. Nuñez Rosas & Claudia Rodríguez-Flores & Adolfo G. Navarro-Sigüenza & María del Coro Arizmendi, 2022. "Together forever? Hummingbird-plant relationships in the face of climate warming," Climatic Change, Springer, vol. 175(1), pages 1-21, November.
    9. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
    10. Huihui Zhang & Xiao Sun & Guoshuai Zhang & Xinke Zhang & Yujing Miao & Min Zhang & Zhan Feng & Rui Zeng & Jin Pei & Linfang Huang, 2022. "Potential Global Distribution of the Habitat of Endangered Gentiana rhodantha Franch : Predictions Based on MaxEnt Ecological Niche Modeling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    11. Goodbody, Tristan R.H. & Coops, Nicholas C. & Srivastava, Vivek & Parsons, Bethany & Kearney, Sean P. & Rickbeil, Gregory J.M. & Stenhouse, Gordon B., 2021. "Mapping recreation and tourism use across grizzly bear recovery areas using social network data and maximum entropy modelling," Ecological Modelling, Elsevier, vol. 440(C).
    12. Zhenan Jin & Wentao Yu & Haoxiang Zhao & Xiaoqing Xian & Kaiting Jing & Nianwan Yang & Xinmin Lu & Wanxue Liu, 2022. "Potential Global Distribution of Invasive Alien Species, Anthonomus grandis Boheman, under Current and Future Climate Using Optimal MaxEnt Model," Agriculture, MDPI, vol. 12(11), pages 1-14, October.
    13. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
    14. Carlos Yañez-Arenas & A Townsend Peterson & Pierre Mokondoko & Octavio Rojas-Soto & Enrique Martínez-Meyer, 2014. "The Use of Ecological Niche Modeling to Infer Potential Risk Areas of Snakebite in the Mexican State of Veracruz," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    15. Marianna V. P. Simões & Hanieh Saeedi & Marlon E. Cobos & Angelika Brandt, 2021. "Environmental matching reveals non-uniform range-shift patterns in benthic marine Crustacea," Climatic Change, Springer, vol. 168(3), pages 1-20, October.
    16. David Makowski & Murthy Narasimha Mittinty, 2010. "Comparison of Scoring Systems for Invasive Pests Using ROC Analysis and Monte Carlo Simulations," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 906-915, June.
    17. Minerva Singh & Jessamine Badcock-Scruton & C. Matilda Collins, 2021. "What Will Remain? Predicting the Representation in Protected Areas of Suitable Habitat for Endangered Tropical Avifauna in Borneo under a Combined Climate- and Land-Use Change Scenario," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    18. Robinson, Todd P. & van Klinken, Rieks D. & Metternicht, Graciela, 2010. "Comparison of alternative strategies for invasive species distribution modeling," Ecological Modelling, Elsevier, vol. 221(19), pages 2261-2269.
    19. Anderson, Robert P. & Gonzalez, Israel, 2011. "Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent," Ecological Modelling, Elsevier, vol. 222(15), pages 2796-2811.
    20. Barve, Narayani & Barve, Vijay & Jiménez-Valverde, Alberto & Lira-Noriega, Andrés & Maher, Sean P. & Peterson, A. Townsend & Soberón, Jorge & Villalobos, Fabricio, 2011. "The crucial role of the accessible area in ecological niche modeling and species distribution modeling," Ecological Modelling, Elsevier, vol. 222(11), pages 1810-1819.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3112-:d:1062180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.