{"title":"用现实世界的数据解决现实世界的问题:适当的空间分辨率建模对为海洋管理决策者提供信息的重要性","authors":"Tanya G Riley, Beth Mouat, Rachel Shucksmith","doi":"10.1016/j.ecolmodel.2024.110864","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110864"},"PeriodicalIF":2.6000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002527/pdfft?md5=89b86d98ee5036458231a7707527f3c6&pid=1-s2.0-S0304380024002527-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Real world data for real world problems: Importance of appropriate spatial resolution modelling to inform decision makers in marine management\",\"authors\":\"Tanya G Riley, Beth Mouat, Rachel Shucksmith\",\"doi\":\"10.1016/j.ecolmodel.2024.110864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"498 \",\"pages\":\"Article 110864\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002527/pdfft?md5=89b86d98ee5036458231a7707527f3c6&pid=1-s2.0-S0304380024002527-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002527\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380024002527","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Real world data for real world problems: Importance of appropriate spatial resolution modelling to inform decision makers in marine management
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.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).