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Ikhumhen HO, Fang Q, Lu S, Meilana L, Raimundo Lopes ND. Investigating socio-ecological vulnerability to climate change via remote sensing and a data-driven ranking algorithm. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 347:119254. [PMID: 37806274 DOI: 10.1016/j.jenvman.2023.119254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 08/02/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
The necessity for extensive historical data, variables, and weight determination still presents challenges and complexity, notwithstanding the growth in research on socio-ecological vulnerability to climate change. In order to fill in these gaps, this study used China's Fujian Province as a case study to propose a unique strategic approach for studying socio-ecological vulnerability to climate change from 2000 to 2020 by utilizing remote sensing and the framework of the Intergovernmental Panel on Climate Change. In a GIS scenario, this method employs a comprehensive framework with a wide variety of indicators and a data-driven ranking algorithm. The findings of this study revealed a moderate degree of socio-ecological vulnerability throughout the coast, with significant regional heterogeneity in its spatial distribution. Furthermore, throughout the course of the two-decade, the highly vulnerable zones expanded by 6.04%, outpacing the low-risk areas by 1116 km2 (61.41%) and 2066 km2 (123.39%), respectively, with the majority of the increase taking place in Fuzhou and Ningde. These changes in vulnerability were shown to be principally influenced by changes in vegetation, precipitation, GDP, and land use (LULC). The major influence of precipitation was highlighted further in the spatial autocorrelation analysis, which demonstrated a close correlation between growing socio-ecological vulnerability and increased precipitation. To conclude, this study's methodology differs from other socio-ecological vulnerability studies in that it is flexible and self-sufficient, offering users a choice of weight application. It also gives a more useful, accurate, and suggestive model to enable decision-makers or stakeholders build strategies or ideas for constructing more resilient coastal systems.
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Affiliation(s)
- Harrison Odion Ikhumhen
- Key Laboratory of Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China
| | - Qinhua Fang
- Key Laboratory of Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, 361102, China; Xiamen Key Laboratory of Urban Sea Ecological Conservation and Restoration (USER), Xiamen University, 361102, China; Coastal and Ocean Management Institute, Xiamen University, 361102, China.
| | - Shanlong Lu
- Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy ofSciences, 9 Dengzhuang South Road, Haidian District, Beijing, 100094, China
| | - Lusita Meilana
- Key Laboratory of Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, 361102, China; Xiamen Key Laboratory of Urban Sea Ecological Conservation and Restoration (USER), Xiamen University, 361102, China; Coastal and Ocean Management Institute, Xiamen University, 361102, China
| | - Namir Domingos Raimundo Lopes
- School of Energy and Environmental Engineering College, University of Science and Technology Beijing, Beijing, 100083, China
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Pétillon J, McKinley E, Alexander M, Adams JB, Angelini C, Balke T, Griffin JN, Bouma T, Hacker S, He Q, Hensel MJS, Ibáñez C, Macreadie PI, Martino S, Sharps E, Ballinger R, de Battisti D, Beaumont N, Burdon D, Daleo P, D'Alpaos A, Duggan-Edwards M, Garbutt A, Jenkins S, Ladd CJT, Lewis H, Mariotti G, McDermott O, Mills R, Möller I, Nolte S, Pagès JF, Silliman B, Zhang L, Skov MW. Top ten priorities for global saltmarsh restoration, conservation and ecosystem service research. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165544. [PMID: 37453706 DOI: 10.1016/j.scitotenv.2023.165544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Coastal saltmarshes provide globally important ecosystem services including 'blue carbon' sequestration, flood protection, pollutant remediation, habitat provision and cultural value. Large portions of marshes have been lost or fragmented as a result of land reclamation, embankment construction, and pollution. Sea level rise threatens marsh survival by blocking landward migration where coastlines have been developed. Research-informed saltmarsh conservation and restoration efforts are helping to prevent further loss, yet significant knowledge gaps remain. Using a mixed methods approach, this paper identifies ten research priorities through an online questionnaire and a residential workshop attended by an international, multi-disciplinary network of 35 saltmarsh experts spanning natural, physical and social sciences across research, policy, and practitioner sectors. Priorities have been grouped under four thematic areas of research: Saltmarsh Area Extent, Change and Restoration Potential (including past, present, global variation), Spatio-social contexts of Ecosystem Service delivery (e.g. influences of environmental context, climate change, and stakeholder groups on service provisioning), Patterns and Processes in saltmarsh functioning (global drivers of saltmarsh ecosystem structure/function) and Management and Policy Needs (how management varies contextually; challenges/opportunities for management). Although not intended to be exhaustive, the challenges, opportunities, and strategies for addressing each research priority examined here, providing a blueprint of the work that needs to be done to protect saltmarshes for future generations.
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Affiliation(s)
- Julien Pétillon
- UMR CNRS ECOBIO, University of Rennes, 35042 Rennes, France; Institute for Coastal and Marine Research, Department of Botany, Nelson Mandela University, Summerstrand Campus, Gqeberha 6031, South Africa.
| | - Emma McKinley
- School of Earth and Environmental Sciences, Cardiff University, Park Place, Cardiff CF10 3AT, UK
| | - Meghan Alexander
- School of Geography, University of Nottingham, University Park Campus, Nottingham NG7 2RD, UK
| | - Janine B Adams
- Institute for Coastal and Marine Research, Department of Botany, Nelson Mandela University, Summerstrand Campus, Gqeberha 6031, South Africa
| | - Christine Angelini
- Environmental School for Sustainable Infrastructure and the Environment, University of Florida, Weil Hall 365, 1949 Stadium Road, Gainesville, FL 32611, USA
| | - Thorsten Balke
- School of Geographical and Earth Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - John N Griffin
- Department of Biosciences, Swansea University, Singleton Park, Swansea SA2 8PP, UK
| | - Tjeerd Bouma
- Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research (NIOZ), Yerseke, the Netherlands; Faculty of Geosciences, Department of Physical Geography, Utrecht University, Utrecht, the Netherlands; Building with Nature group, HZ University of Applied Sciences, Vlissingen, the Netherlands
| | - Sally Hacker
- Department of Integrative Biology, 3029 Cordley Hall, Oregon State University, Corvallis, OR 97331, USA
| | - Qiang He
- Duke University Marine Lab, 135 Duke Marine Lab Road, Beaufort, NC 28516, USA
| | - Marc J S Hensel
- Department of Environmental Biology, University of Massachusetts, 100 Morrissey Blvd., Boston, MA 02125, USA
| | - Carles Ibáñez
- Climate Change Department, Area of Sustainability, Eurecat - Technological Centre of Catalonia, 43870 Amposta, Catalonia, Spain
| | - Peter I Macreadie
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125, Australia
| | | | - Elwyn Sharps
- School of Geography, University of Nottingham, University Park Campus, Nottingham NG7 2RD, UK; RSPB Centre for Conservation Science, RSPB, The Lodge, Sandy, Bedfordshire SG19 2DL, UK; Natural Resources Wales, TY Cambria, Newport Road, Cardiff, Wales, UK
| | - Rhoda Ballinger
- School of Earth and Environmental Sciences, Cardiff University, Park Place, Cardiff CF10 3AT, UK
| | - Davide de Battisti
- Chioggia Hydrobiological Station "Umberto D'Ancona", Department of Biology, University of Padova, Palazzo Grassi, Calle Grassi Naccari 1060, 30015 Chioggia, Ve, Italy
| | - Nicola Beaumont
- Plymouth Marine Laboratory, Prospect Place, Plymouth PL1 3DH, UK
| | - Daryl Burdon
- Daryl Burdon Ltd., Marine Research, Teaching and Consultancy, Willerby HU10 6LL, UK
| | - Pedro Daleo
- Instituto de Investigaciones Marinas y Costeras (IIMyC), UNMDP - CONICET, CC 1260 Correo Central, B7600WAG Mar del Plata, Argentina
| | - Andrea D'Alpaos
- Department of Geosciences, University of Padova, via G. Gradenigo 6, 35131 Padova, Italy
| | | | - Angus Garbutt
- Centre for Ecology and Hydrology (CEH), Environment Centre Wales, Deiniol Rd, Bangor LL57 2UW, UK
| | - Stuart Jenkins
- School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK
| | - Cai J T Ladd
- School of Geographical and Earth Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Heather Lewis
- Natural Resources Wales, TY Cambria, Newport Road, Cardiff, Wales, UK
| | - Giulio Mariotti
- Department of Oceanography and Coastal Sciences, 1002-Q Energy, Coast and Environment Building, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Osgur McDermott
- World Conservation Monitoring Centre (WCMC), UN-Environment, 219 Huntingdon Rd, Cambridge CB3 0DL, UK
| | - Rachael Mills
- Natural England, Foss House, Kings Pool, 1-2 Peasholme Green, York YO1 7PX, UK
| | - Iris Möller
- Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, UK
| | - Stefanie Nolte
- School of Environmental Sciences, University of East Anglia, Norwich NR47TJ, UK; Centre for Environment, Fisheries and Aquaculture Science, Lowestoft NR33 0HT, UK
| | - Jordi F Pagès
- School of Geography, University of Nottingham, University Park Campus, Nottingham NG7 2RD, UK
| | - Brian Silliman
- Department of Integrative Biology, 3029 Cordley Hall, Oregon State University, Corvallis, OR 97331, USA
| | - Liquan Zhang
- State Key Lab. of Estuarine and Coastal Research (SKLEC), East China Normal University, Shanghai, China
| | - Martin W Skov
- School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK
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Park S, Sohn W, Piao Y, Lee D. Adaptation strategies for future coastal flooding: Performance evaluation of green and grey infrastructure in South Korea. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 334:117495. [PMID: 36801687 DOI: 10.1016/j.jenvman.2023.117495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 01/14/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Climate change is contributing to an increasing frequency and intensity of floods in Korea. This study predicts areas with a high probability of flooding in coastal areas of South Korea owing to future climate change, which is likely to cause extreme rainfall and sea-level rise, using a spatiotemporal downscaled future climate change scenario with random forest, artificial neural network, and k-nearest neighbor techniques. In addition, the change in coastal flooding risk probability according to the application of different adaptation strategies (green spaces and seawalls) was identified. The results showed a clear difference in the risk probability distribution in the absence and presence of either adaptation strategy. Their effectiveness in moderating future flooding risks is subject to change owing to strategy type, geographic region, and urbanization intensity and the results show that green spaces are slightly more effective than seawalls when forecasting for 2050. This demonstrates the importance of a nature-based strategy. Moreover, this study highlights the need to prepare adaptation measures according to regional characteristics to mitigate the impact of climate change. Korea is surrounded by seas on three sides that have independent geophysical and climate characteristics. The south coast has a higher risk of coastal flooding than the east and west coasts. In addition, a higher urbanization rate is associated with a higher risk probability. This implies that climate change response strategies for coastal cities are necessary as the population and socioeconomic activities of coastal urban areas are likely to increase in the future.
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Affiliation(s)
- Sangjin Park
- Department of Public Administration & Risk Governance, Korea Institute of Public Administration, Seoul, 03367, South Korea
| | - Wonmin Sohn
- School of Planning, Design and Construction, Michigan State University, Michigan, 48826, USA
| | - Yong Piao
- Interdisciplinary Program in Landscape Architecture & Integrated Major in Smart City Global Convergence, Seoul National University, Seoul, 08826, South Korea
| | - Dongkun Lee
- Interdisciplinary Program in Landscape Architecture & Integrated Major in Smart City Global Convergence, Seoul National University, Seoul, 08826, South Korea.
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