IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v442y2021ics030438002100017x.html
   My bibliography  Save this article

Conserving migratory species while safeguarding ecosystem services

Author

Listed:
  • Xiao, Hui
  • Chadès, Iadine
  • Hill, Narelle
  • Murray, Nicholas
  • Fuller, Richard A.
  • McDonald-Madden, Eve

Abstract

Many migratory shorebird species are undergoing severe population declines due to habitat loss. Selecting sites for protection along migratory shorebird flyways requires accounting for connectivity between sites and representing all migratory cycle stages within a protected area network. Site protection decisions often additionally account for the economic value of habitat-related ecosystem services, as shorebird habitats often provide services such as fisheries and recreational opportunities. In this study, we develop a new approach which combines graph theory, decision science, and stochastic dynamic optimization, to investigate whether habitat protection strategies aimed at safeguarding ecosystem services can also deliver efficient protection for migratory shorebirds. We use graph theory to empirically model migration routes for two shorebird species, the Curlew Sandpiper (Calidris ferruginea) and Eastern Curlew (Numenius madagascariensis), linking their migratory networks with data on habitat-related ecosystem services within the East Asian - Australasian Flyway (EAAF). Using dynamic optimization, we calculate the optimal habitat protection strategy for both ecosystem services and shorebird conservation objectives for both species. We further investigate if, and how, these two strategies can converge to achieve both objectives, and whether there is a trade-off between strategies. Our results show that the biodiversity outcome from strategies maximizing ecosystem services provided by shorebird habitat could align closely with a species-focused conservation plan. More specifically, the optimal ecosystem services oriented strategy maintains a similar level of shorebird populations as the optimal conservation strategy, while protecting an additional 45% (Curlew Sandpiper) and 42% (Eastern Curlew) of ecosystem services throughout the network. Conservation budget also matters, as small budgets would lead to inefficient protection for biodiversity. Our research shows that conservation planning can simultaneously achieve conservation and ecosystem services objectives for migratory species. By accounting for the value of ecosystem services within shorebird habitats, we provide quantitative evidence of a win-win scenario in which both shorebird conservation and ecosystem service provision can be achieved. Our model could be applied to other migratory species to improve spatially explicit planning for both biodiversity and ecosystem service targets.

Suggested Citation

  • Xiao, Hui & Chadès, Iadine & Hill, Narelle & Murray, Nicholas & Fuller, Richard A. & McDonald-Madden, Eve, 2021. "Conserving migratory species while safeguarding ecosystem services," Ecological Modelling, Elsevier, vol. 442(C).
  • Handle: RePEc:eee:ecomod:v:442:y:2021:i:c:s030438002100017x
    DOI: 10.1016/j.ecolmodel.2021.109442
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002100017X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109442?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Crossman, Neville D. & Burkhard, Benjamin & Nedkov, Stoyan & Willemen, Louise & Petz, Katalin & Palomo, Ignacio & Drakou, Evangelia G. & Martín-Lopez, Berta & McPhearson, Timon & Boyanova, Kremena & A, 2013. "A blueprint for mapping and modelling ecosystem services," Ecosystem Services, Elsevier, vol. 4(C), pages 4-14.
    2. Pascoe, Sean & Doshi, Amar & Dell, Quentin & Tonks, Mark & Kenyon, Rob, 2014. "Economic value of recreational fishing in Moreton Bay and the potential impact of the marine park rezoning," Tourism Management, Elsevier, vol. 41(C), pages 53-63.
    3. Pandeya, B. & Buytaert, W. & Zulkafli, Z. & Karpouzoglou, T. & Mao, F. & Hannah, D.M., 2016. "A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions," Ecosystem Services, Elsevier, vol. 22(PB), pages 250-259.
    4. Sabbadin, Régis & Spring, Danny & Rabier, Charles-Elie, 2007. "Dynamic reserve site selection under contagion risk of deforestation," Ecological Modelling, Elsevier, vol. 201(1), pages 75-81.
    5. Nicholas J. Murray & Stuart R. Phinn & Michael DeWitt & Renata Ferrari & Renee Johnston & Mitchell B. Lyons & Nicholas Clinton & David Thau & Richard A. Fuller, 2019. "The global distribution and trajectory of tidal flats," Nature, Nature, vol. 565(7738), pages 222-225, January.
    6. Colin E. Studds & Bruce E. Kendall & Nicholas J. Murray & Howard B. Wilson & Danny I. Rogers & Robert S. Clemens & Ken Gosbell & Chris J. Hassell & Rosalind Jessop & David S. Melville & David A. Milto, 2017. "Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites," Nature Communications, Nature, vol. 8(1), pages 1-7, April.
    7. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    8. Hui Xiao & Eve McDonald-Madden & Régis Sabbadin & Nathalie Peyrard & Laura E. Dee & Iadine Chadès, 2019. "The value of understanding feedbacks from ecosystem functions to species for managing ecosystems," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    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. Makovníková Jarmila & Pálka Boris & Kološta Stanislav & Flaška Filip & Orságová Katarína & Spišiaková Mária, 2020. "Non-Monetary Assessment and Mapping of the Potential of Agroecosystem Services in Rural Slovakia," European Countryside, Sciendo, vol. 12(2), pages 257-276, June.
    2. Chalhoub, Maha & Gabrielle, Benoit & Tournebize, Julien & Chaumont, Cédric & Maugis, Pascal & Girardin, Cyril & Montagne, David & Baveye, Philippe C. & Garnier, Patricia, 2020. "Direct measurement of selected soil services in a drained agricultural field: Methodology development and case study in Saclay (France)," Ecosystem Services, Elsevier, vol. 42(C).
    3. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    4. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    5. Valeria Costantini & Francesco Crespi & Giovanni Marin & Elena Paglialunga, 2016. "Eco-innovation, sustainable supply chains and environmental performance in European industries," LEM Papers Series 2016/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    7. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    8. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    9. Cyril Chalendard, 2015. "Use of internal information, external information acquisition and customs underreporting," Working Papers halshs-01179445, HAL.
    10. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    11. Philippe Aghion & Ufuk Akcigit & Matthieu Lequien & Stefanie Stantcheva, 2017. "Tax simplicity and heterogeneous learning," CEP Discussion Papers dp1516, Centre for Economic Performance, LSE.
    12. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    13. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.
    14. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    15. Jamal El-Den & Pratap Adikhari & Pratap Adikhari, 2017. "Social media in the service of social entrepreneurship: Identifying factors for better services," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 3(2), pages 105-114.
    16. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    17. Xiongnan Jin & Sejin Chun & Jooik Jung & Kyong-Ho Lee, 0. "A fast and scalable approach for IoT service selection based on a physical service model," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    18. Jun Hong Park & Sang Ho Kook & Hyeonu Im & Soomin Eum & Chulung Lee, 2018. "Fabless Semiconductor Firms’ Financial Performance Determinant Factors: Product Platform Efficiency and Technological Capability," Sustainability, MDPI, vol. 10(10), pages 1-22, September.
    19. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    20. Samuel J Gershman, 2015. "A Unifying Probabilistic View of Associative Learning," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-20, November.

    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:eee:ecomod:v:442:y:2021:i:c:s030438002100017x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.