IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v498y2024ics0304380024002527.html
   My bibliography  Save this article

Real world data for real world problems: Importance of appropriate spatial resolution modelling to inform decision makers in marine management

Author

Listed:
  • Riley, Tanya G
  • Mouat, Beth
  • Shucksmith, Rachel

Abstract

Effective management of marine ecosystems requires informed decision-making based on accurate, comprehensive and appropriate data. Mapping habitats can form an important part of these processes so that decision makers can ensure the pressures exerted by human activities can be assessed while considering the sensitivity of the environment. Predictive models can be utilised to understand the distribution of species and habitats (e.g. biotopes) without incurring the expense of wide scale surveys. If predictive models are used in decision-making care must be taken in interpreting model results. The spatial resolution at which habitat modelling is conducted can greatly influence the decision outcomes. Whilst national resolution habitat maps serve as valuable resources for informing overarching policy making, for development level decisions fine resolution habitat information is needed. This paper explores the importance of spatial resolution modelling in marine management decision-making processes, using four spatial resolutions (50 m, 100 m, 200 m and 500 m) to model the presence of a protected habitat, maerl beds, within the Fetlar-Haroldswick Marine Protected Area in the Shetland Islands, Scotland. Outputs were compared for model performance between the resolutions and area of modelled maerl bed coverage. Simulations of real-world marine activities, explore the magnitude of overlap attributable to varied spatial resolution models, with an emphasis on the presumed ‘need’ for management. This study shows the importance of considering spatial resolution in modelling outputs and highlights the challenges associated with using models to guide decision-making, direct pressures on protected habitats, and cumulative impacts. It carries significance for maximising economic opportunity while safeguarding marine features. For real-world applications coarse resolution data may suffice for strategic, large-scale decisions, but finer resolutions are imperative for consenting or managing individual marine activities. By emphasising the need for appropriate spatial resolution modelling, these findings contribute to the development of sustainable management strategies that are appropriate to the scale of the decision. Addressing the complexities of real-world decision-making and understanding the magnitude of spatial resolution required for the marine environment are a crucial principle that can also enhance and be applied to other disciplines including, terrestrial ecology, urban planning and the assessment of potential climate change impacts. Failing to model appropriately means that real-world pressures and impacts occurring on a finer scale then the available data may have their impacts over or underestimated, hindering effective governance. Whilst we are striving to meet our national and international obligations and objectives through effective marine governance, this paper highlights the challenges of real-world decision-making where data is not yet available at a suitable resolution to address these issues.

Suggested Citation

  • Riley, Tanya G & Mouat, Beth & Shucksmith, Rachel, 2024. "Real world data for real world problems: Importance of appropriate spatial resolution modelling to inform decision makers in marine management," Ecological Modelling, Elsevier, vol. 498(C).
  • Handle: RePEc:eee:ecomod:v:498:y:2024:i:c:s0304380024002527
    DOI: 10.1016/j.ecolmodel.2024.110864
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024002527
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110864?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. Shucksmith, Rachel J. & Kelly, Christina, 2014. "Data collection and mapping – Principles, processes and application in marine spatial planning," Marine Policy, Elsevier, vol. 50(PA), pages 27-33.
    2. Gill Ward & Trevor Hastie & Simon Barry & Jane Elith & John R. Leathwick, 2009. "Presence-Only Data and the EM Algorithm," Biometrics, The International Biometric Society, vol. 65(2), pages 554-563, June.
    3. Fernandez, Marc & Sillero, Neftali & Yesson, Chris, 2022. "To be or not to be: the role of absences in niche modelling for highly mobile species in dynamic marine environments," Ecological Modelling, Elsevier, vol. 471(C).
    4. Douvere, Fanny, 2008. "The importance of marine spatial planning in advancing ecosystem-based sea use management," Marine Policy, Elsevier, vol. 32(5), pages 762-771, September.
    5. Lorena Ribeiro de A Carneiro & Albertina P Lima & Ricardo B Machado & William E Magnusson, 2016. "Limitations to the Use of Species-Distribution Models for Environmental-Impact Assessments in the Amazon," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-17, January.
    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. Qu, Yang & Hooper, Tara & Austen, Melanie C. & Papathanasopoulou, Eleni & Huang, Junling & Yan, Xiaoyu, 2023. "Development of a computable general equilibrium model based on integrated macroeconomic framework for ocean multi-use between offshore wind farms and fishing activities in Scotland," Applied Energy, Elsevier, vol. 332(C).
    2. Yuan Liu & Sihai Liu & Kun Xing, 2024. "Assessment of Ecosystem Services and Exploration of Trade-Offs and Synergistic Relationships in Arid Areas: A Case Study of the Kriya River Basin in Xinjiang, China," Sustainability, MDPI, vol. 16(5), pages 1-21, March.
    3. Merrie, Andrew & Olsson, Per, 2014. "An innovation and agency perspective on the emergence and spread of Marine Spatial Planning," Marine Policy, Elsevier, vol. 44(C), pages 366-374.
    4. Emilio Salas-Leiton & Ana Costa & Vanessa Neves & Joana Soares & Adriano Bordalo & Sérgia Costa-Dias, 2022. "Sustainability of the Portuguese North-Western Fishing Activity in the Face of the Recently Implemented Maritime Spatial Planning," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    5. Masahiro Kato & Shota Yasui, 2020. "Learning Classifiers under Delayed Feedback with a Time Window Assumption," Papers 2009.13092, arXiv.org, revised Jun 2022.
    6. Lauer, Peter & López, Lambertus & Sloan, Emmanuelle & Sloan, Sean & Doroudi, Mehdi, 2015. "Learning from the systematic approach to aquaculture zoning in South Australia: A case study of aquaculture (Zones – Lower Eyre Peninsula) Policy 2013," Marine Policy, Elsevier, vol. 59(C), pages 77-84.
    7. Norton, Daniel & Hynes, Stephen, 2015. "Spatial issues arising from a value transfer exercise for environmental quality of marine waters," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212663, European Association of Agricultural Economists.
    8. Schwemmer, Philipp & Güpner, Franziska & Adler, Sven & Klingbeil, Knut & Garthe, Stefan, 2016. "Modelling small-scale foraging habitat use in breeding Eurasian oystercatchers (Haematopus ostralegus) in relation to prey distribution and environmental predictors," Ecological Modelling, Elsevier, vol. 320(C), pages 322-333.
    9. Barham A. HamadAmin & Nabaz R. Khwarahm, 2023. "Mapping Impacts of Climate Change on the Distributions of Two Endemic Tree Species under Socioeconomic Pathway Scenarios (SSP)," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    10. Slater, Anne-Michelle & Irvine, Katherine N & Byg, Anja A. & Davies, Ian M. & Gubbins, Matt & Kafas, Andronikos & Kenter, Jasper & MacDonald, Alison & O'Hara Murray, Rory & Potts, Tavis & Tweddle, Jac, 2020. "Integrating stakeholder knowledge through modular cooperative participatory processes for marine spatial planning outcomes (CORPORATES)," Ecosystem Services, Elsevier, vol. 44(C).
    11. Amaro, George & Fidelis, Elisangela Gomes & da Silva, Ricardo Siqueira & Marchioro, Cesar Augusto, 2023. "Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae)," Ecological Modelling, Elsevier, vol. 483(C).
    12. ZHAO Xin & XUE Yue-mei & KANG Wang-lin & DING Li-li & ZHU Lin, 2018. "Measuring Efficiency of Ocean Economy in China Based on a Novel Luenberger Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-21, June.
    13. Campbell, Maria S. & Stehfest, Kilian M. & Votier, Stephen C. & Hall-Spencer, Jason M., 2014. "Mapping fisheries for marine spatial planning: Gear-specific vessel monitoring system (VMS), marine conservation and offshore renewable energy," Marine Policy, Elsevier, vol. 45(C), pages 293-300.
    14. Lu, Wen-Hai & Liu, Jie & Xiang, Xian-Quan & Song, Wei-Ling & McIlgorm, Alistair, 2015. "A comparison of marine spatial planning approaches in China: Marine functional zoning and the marine ecological red line," Marine Policy, Elsevier, vol. 62(C), pages 94-101.
    15. Ralph V Tafon, 2018. "Taking power to sea: Towards a post-structuralist discourse theoretical critique of marine spatial planning," Environment and Planning C, , vol. 36(2), pages 258-273, March.
    16. Frazão Santos, Catarina & Domingos, Tiago & Ferreira, Maria Adelaide & Orbach, Michael & Andrade, Francisco, 2014. "How sustainable is sustainable marine spatial planning? Part I—Linking the concepts," Marine Policy, Elsevier, vol. 49(C), pages 59-65.
    17. Flannery, Wesley & O’Hagan, Anne Marie & O’Mahony, Cathal & Ritchie, Heather & Twomey, Sarah, 2015. "Evaluating conditions for transboundary Marine Spatial Planning: Challenges and opportunities on the island of Ireland," Marine Policy, Elsevier, vol. 51(C), pages 86-95.
    18. Saupe, E.E. & Barve, V. & Myers, C.E. & Soberón, J. & Barve, N. & Hensz, C.M. & Peterson, A.T. & Owens, H.L. & Lira-Noriega, A., 2012. "Variation in niche and distribution model performance: The need for a priori assessment of key causal factors," Ecological Modelling, Elsevier, vol. 237, pages 11-22.
    19. Meng-Tsung Lee & Chin-Cheng Wu & Ching-Hsien Ho & Wen-Hong Liu, 2014. "Towards Marine Spatial Planning in Southern Taiwan," Sustainability, MDPI, vol. 6(12), pages 1-19, November.
    20. Phoebe Koundouri & Amerissa Giannouli, 2016. "Blue growth and economics," DEOS Working Papers 1607, Athens University of Economics and Business.

    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:498:y:2024:i:c:s0304380024002527. 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.