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Estimation of minimum viable population for giant panda ecosystems with membrane computing models

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Abstract

Even though the giant panda’s extinction status is downgraded from endangered to vulnerable, but the animals still face an uphill battle for survival. Moreover, the number of giant pandas is also rare. With the increase of captive individuals, wild release has become an inevitable task that human face. It is important to evaluate at least how much giant pandas are remained for being released to the wild. Several methods have been presented in the literature to assess minimum viable population (MVP) of giant pandas. However, each of these methods is designed only based on population sizes. In this paper, a membrane computing model based on behavioral biology is proposed to evaluate the MVP of the species. An application of the proposed data processing to binary tree whose nodes are composed of population sizes is also proposed. An binary tree is generated by integrating the following three techniques: (a) a random technique to generate the vast majority of populations; (b) a modified binary search method to obtain an order population size sequence; (c) a modified inorder traversal to generate an order binary tree and a parent tree. This is the first attempt to apply membrane computing model to assess the MVP of giant pandas. The effectiveness of the presented general PDP system is verified by means of the numbers or amounts of subpopulations. Besides, we also provide the population distribution of the obtained MVP.

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (61672437 and 61972324) and Sichuan Science and Technology Program (2022YFG0181). We also acknowledge the support of the research project P20_00486 (Junta de Andalucía, Consejería de Economía, Conocimiento, Empresas y Universidad, along with Fondo Europeo de Desarrollo Regional (FEDER) of the European Union).

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Authors and Affiliations

  1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756, China

    Yingying Duan, Haina Rong & Gexiang Zhang

  2. School of Automation, Chengdu University of Information Technology, Chengdu, 610225, China

    Gexiang Zhang

  3. Chengdu Research Base of Giant Panda Breeding, Chengdu, 610081, China

    Dunwu Qi

  4. Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, 41012, Sevilla, Spain

    Luis Valencia-Cabrera & Mario J. Pérez-Jiménez

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  1. Yingying Duan
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  2. Haina Rong
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  5. Luis Valencia-Cabrera
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  6. Mario J. Pérez-Jiménez
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Correspondence to Haina Rong.

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Duan, Y., Rong, H., Zhang, G. et al. Estimation of minimum viable population for giant panda ecosystems with membrane computing models. Nat Comput 22, 69–93 (2023). https://doi.org/10.1007/s11047-022-09901-6

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