Geospatiality of climate change perceptions on coastal regions: A systematic bibliometric analysis

Abstract

Climate change requires joint actions between government and local actors. Understanding the perception of people and communities is critical for designing climate change adaptation strategies. Those most affected by climate change are populations in coastal regions that face extreme weather events and sea-level increases. In this article, geospatial perception of climate change is identified, and the research parameters are quantified. In addition to investigating the correlations of hotspots on the topic of climate change perception with a focus on coastal communities, Natural Language Processing (NLP) was used to examine the research interactions. A total of 27,138 articles sources from Google Scholar and Scopus were analyzed. A systematic method was used for data processing combining bibliometric analysis and machine learning. Publication trends were analyzed in English, Spanish and Portuguese. Publications in English (87%) were selected for network and data mining analysis. Most of the research was conducted in the USA, followed by India and China. The main research methods were identified through correlation networks. In many cases, social studies of perception are related to climatic methods and vegetation analysis supported by GIS. The analysis of keywords identified ten research topics: adaptation, risk, community, local, impact, livelihood, farmer, household, strategy, and variability. “Adaptation” is in the core of the correlation network of all keywords. The interdisciplinary analysis between social and environmental factors, suggest improvements are needed for research in this field. A single method cannot address understanding of a phenomenon as complicated as the socio-environmental. This study provides valuable information for future research by clarifying the current context of perception work carried out in the coastal regions; and identifying the tools best suited for carrying out this type of research.

Keywords

Climate change / Perception / Coastal / Machine learning / Big data

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

M.J.B. is grateful for his fellowship granted by OAS-GCUB. This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [CAPES-001]. The author thanks Mathias R.B., for his valuable support received over research process. We appreciate the anonymous reviewers and the editors for their comments which are greatly helpful for further quality improvement of our manuscript.

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.geosus.2020.09.002.

References

[1] Akinsemolu, A., Olukoya, O., 2020. The vulnerability of women to climate change in coastal regions of Nigeria: A case of the Ilaje community in Ondo State. J. Clean. Prod. 246, 119015.

[2] Altschuler, B., Brownlee, M., 2015. Perceptions of climate change on the island of Providencia. Local Environ. 21 (5), 615-635.

[3] Amos, E., Akpan, U., Ogunjobi, K., 2015. Households’ perception and livelihood vulnerability to climate change in a coastal area of Akwa Ibom State, Nigeria. Environ. Dev. Sustain. 17 (4), 887-908.

[4] Antonioli, F., Anzidei, M., Amorosi, A., Lo Presti, V., Mastronuzzi, G., Deiana, G., De Falco, G., Fontana, A., Fontolan, G., Lisco, S., Marsico, A., Moretti, M., Orrù, P., Sannino, G., Serpelloni, E., Vecchio, A., 2017. Sea-level rise and potential drowning of the Italian coastal plains: Flooding risk scenarios for 2100. Quat. Sci. Rev. 158, 29-43.

[5] Appiotti, F., Kr ž elj, M., Russo, A., Ferretti, M., Bastianini, M., Marincioni, F., 2014. A multidisciplinary study on the effects of climate change in the northern Adriatic Sea and the Marche region (central Italy). Reg. Environ. Chang. 14 (5), 2007-2024.

[6] Armah, F., Yengoh, G., Ung, M., Luginaah, I., Chuenpagdee, R., Campbell, G., 2017. The unusual suspects? Perception of underlying causes of anthropogenic climate change in coastal communities in Cambodia and Tanzania. J. Environ. Plan. Manag. 60 (12), 2150-2173.

[7] Ashraful Islam, M., Mitra, D., Dewan, A., Akhter, S., 2016. Coastal multi-hazard vulnerability assessment along the Ganges deltaic coast of Bangladesh-A geospatial approach. Ocean Coast. Manag. 127, 1-15.

[8] Baills, A., Garcin, M., Bulteau, T., 2020. Assessment of selected climate change adaptation measures for coastal areas. Ocean Coast. Manag. 185, 105059.

[9] Bird, S., Klein, E., Loper, E., 2009. Natural language processing with Python:Analyzing text with the natural language toolkit. O’Reilly Media, Inc., Sebastopol.

[10] Briguglio, L., 1995. Small island developing states and their economic vulnerabilities. World Dev. 23 (9), 1615-1632.

[11] Buckley, P., Pinnegar, J., Painting, S., Terry, G., Chilvers, J., Lorenzoni, I., Gelcich, S., Duarte, C., 2017. Ten thousand voices on marine climate change in Europe: Different perceptions among demographic groups and nationalities. Front. Mar. Sci. 4, 206.

[12] Bunce, M., Brown, K., Rosendo, S., 2010. Policy misfits, climate change and cross-scale vulnerability in coastal Africa: How development projects undermine resilience. Environ. Sci. Policy 13 (6), 485-497.

[13] Burger, J., Gochfeld, M., 2017. Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey. Urban Ecosyst. 20 (6), 1261-1275.

[14] Button, C., Harvey, N., 2015. Vulnerability and adaptation to climate change on the South Australian coast: A coastal community perspective. Trans. R. Soc. South Aust. 139 (1), 38-56.

[15] Callaghan, M., Minx, J., Forster, P., 2020. A topography of climate change research. Nat. Clim. Chang. 10 (2), 118-123.

[16] Camacho Guerreiro, A., Ladle, R., da Silva Batista, V., 2016. Riverine fishers’ knowledge of extreme climatic events in the Brazilian Amazonia. J. Ethnobiol. Ethnomed. 12 (1), 50.

[17] Dayamba, D., Ky-Dembele, C., Bayala, J., Dorward, P., Clarkson, G., Sanogo, D., Diop Mamadou, L., Traoré, I., Diakité, A., Nenkam, A., Binam, J., Ouedraogo, M., Zougmore, R., 2018. Assessment of the use of Participatory Integrated Climate Services for Agriculture (PICSA) approach by farmers to manage climate risk in Mali and Senegal. Clim. Serv. 12, 27-35.

[18] Fei, S., Desprez, J., Potter, K., Jo, I., Knott, J., Oswalt, C., 2017. Divergence of species responses to climate change. Sci. Adv. 3 (5), e1603055.

[19] Flannery, W., Lynch, K., Cinnéide, M., 2015. Consideration of coastal risk in the Irish spatial planning process. Land use policy 43, 161-169.

[20] Funatsu, B., Dubreuil, V., Racapé, A., Debortoli, N., Nasuti, S., Le Tourneau, F., 2019. Perceptions of climate and climate change by Amazonian communities. Glob. Environ. Chang. 57, 101923.

[21] García-Gómez, F., Ramírez-Méndez, F., 2015. Bibliometric analysis of Revista Médica del IMSS in the Scopus database for the period between 2005-2013. Rev. Med. Inst. Mex. Seguro Soc. 53 (3), 323-335.

[22] Ghosh, A., Das, S., Ghosh, T., Hazra, S., 2019. Risk of extreme events in delta environment: A case study of the Mahanadi delta. Sci. Total Environ. 664, 713-723.

[23] Goeldner-Gianella, L., Grancher, D., Magnan, A., de Belizal, E., Duvat, V., 2019. The perception of climate-related coastal risks and environmental changes on the Rangiroa and Tikehau atolls, French Polynesia: The role of sensitive and intellectual drivers. Ocean Coast. Manag. 172, 14-29.

[24] Grieneisen, M., Zhang, M., 2011. The current status of climate change research. Nat. Clim. Chang 1 (2), 72-73.

[25] Gurran, N., Norman, B., Hamin, E., 2013. Climate change adaptation in coastal Australia: An audit of planning practice. Ocean Coast. Manag. 86, 100-109.

[26] Hagedoorn, L., Brander, L., van Beukering, P., Dijkstra, H., Franco, C., Hughes, L., Gilders, I., Segal, B., 2019. Community-based adaptation to climate change in small island developing states: An analysis of the role of social capital. Clim. Dev. 11 (8), 723-734.

[27] Harzing, A., 2007. Publish or perish. Middlesex University, London.

[28] IPCC, 2013. Detection and attribution of climate change:From global to regional. In:Climate Change 2013 the Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp. 867-952.

[29] Islam, M., Barman, A., Kundu, G., Kabir, M., Paul, B., 2019. Vulnerability of inland and coastal aquaculture to climate change: Evidence from a developing country. Aquac. Fish. 4 (5), 183-189.

[30] Johnson, D., Malhotra, V., Vamplew, P., 2006. More effective web search using bigrams and trigrams. Webology 3 (4), 35.

[31] Lawrence, J., Bell, R., Stroombergen, A., 2019. A hybrid process to address uncertainty and changing climate risk in coastal areas using Dynamic adaptive pathways planning, multi-criteria decision analysis & Real options analysis: A New Zealand application. Sustain. 11 (2), 406.

[32] Lee, H., Ting, K., Chang, Y., Lee, M., Liu, W., 2016. Trans-disciplinary education for sustainable marine and coastal management: A case study in Taiwan. Sustain. 8 (11), 1096.

[33] Lee, I., 2017. Big data: Dimensions, evolution, impacts, and challenges. Bus. Horiz. 60 (3), 293-303.

[34] Liao, C., Huang, H., Lu, H., 2019. Fishermen’s perceptions of coastal fisheries management regulations: Key factors to rebuilding coastal fishery resources in Taiwan. Ocean Coast. Manag. 172, 1-13.

[35] Lillebø, A., Teixeira, H., Morgado, M., Martínez-López, J., Marhubi, A., Delacámara, G., Strosser, P., Nogueira, A., 2019. Ecosystem-based management planning across aquatic realms at the Ria de Aveiro Natura 2000 territory. Sci. Total Environ. 650, 1898-1912.

[36] Limuwa, M., Sitaula, B., Njaya, F., Storebakken, T., 2018. Evaluation of small-scale fishers’ perceptions on climate change and their coping strategies: Insights from lake Malawi. Climate 6 (2), 34.

[37] Linnekamp, F., Koedam, A., Baud, I., 2011. Household vulnerability to climate change: Examining perceptions of households of flood risks in Georgetown and Paramaribo. Habitat Int. 35 (3), 447-456.

[38] Madeira, C., Mendonça, V., Leal, M., Flores, A., Cabral, H., Diniz, M., Vinagre, C., 2018. Environmental health assessment of warming coastal ecosystems in the tropics -Application of integrative physiological indices. Sci. Total Environ. 643, 28-39.

[39] Madsen, H., Mikkelsen, P., Blok, A., 2019. Framing professional climate risk knowledge: Extreme weather events as drivers of adaptation innovation in Copenhagen, Denmark. Environ. Sci. Policy 98, 30-38.

[40] Mani-Peres, C., Xavier, L., Santos, C., Turra, A., 2016. Stakeholders perceptions of local environmental changes as a tool for impact assessment in coastal zones. Ocean Coast. Manag. 119, 135-145.

[41] Martín-Martín, A., Costas, R., Van Leeuwen, T., Delgado López-Cózar, E., 2018. Evidence of open access of scientific publications in Google Scholar: A large-scale analysis. J. Informetr. 12 (3), 819-841.

[42] McGuire, C., 2017. Risky business: Publicly insuring against rising tides. Environ. Pract. 19 (2), 87-91.

[43] Mkonda, M., He, X., 2017. Are rainfall and temperature really changing? Farmer’s perceptions, meteorological data, and policy implications in the Tanzanian semi-arid zone. Sustain. 9 (8), 1412.

[44] Mongeon, P., Paul-Hus, A., 2016. The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics 106 (1), 213-228.

[45] Montero, O., Batista, C., 2020. Social perception of coastal risk in the face of hurricanes in the southeastern region of Cuba. Ocean Coast. Manag. 184, 105010.

[46] Moser, S., 2020. The work after “It’s too late ”(to prevent dangerous climate change). Wiley Interdiscip. Rev. Clim. Chang. 11 (1), e606.

[47] Munji, C., Bele, M., Idinoba, M., Sonwa, D., 2014. Floods and mangrove forests, friends or foes? Perceptions of relationships and risks in Cameroon coastal mangroves. Estuar. Coast. Shelf Sci. 140, 67-75.

[48] Nguyen, H., Korbee, D., Ho, H., Weger, J., Thi Thanh Hoa, P., Thi Thanh Duyen, N., Dang Manh Hong Luan, P., Luu, T., Ho Phuong Thao, D., Thi Thu Trang, N., Hermans, L., Evers, J., Wyatt, A., Chau Nguyen, X., Long Phi, H., 2019. Farmer adoptability for livelihood transformations in the Mekong Delta: A case in Ben Tre province. J. Environ. Plan. Manag. 62 (9), 1603-1618.

[49] Nicholls, R., Klein, R., 2005. Climate change and coastal management on Europe’s coast. In: Vermaat J., Salomons W., Bouwer L., Turner K. (Managing European Coasts.Eds.), Springer, Heidelberg, pp. 199-226.

[50] Nunez-Mir, G., Iannone, B., Pijanowski, B., Kong, N., Fei, S., 2016. Automated content analysis: Addressing the big literature challenge in ecology and evolution. Methods Ecol. Evol. 7 (11), 1262-1272.

[51] Parvin, G., Ahsan, R., 2013. Impacts of climate change on food security of rural poor women in Bangladesh. Manag. Environ. Qual. An Int. J. 24, 802-814.

[52] Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, É., 2011. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12, 2825-2830.

[53] Pollack, H., 2004. Global Change and the Earth System. Eos, Transactions American Geophysical Union 85 ( 35), 333.

[54] Ratter, B., Petzold, J., Sinane, K., 2016. Considering the locals: Coastal construction and destruction in times of climate change on Anjouan, Comoros. Nat. Resour. Forum 40 (3), 112-126.

[55] Roy, A., Sharma, S., 2015. Perceptions and adaptations of the coastal community to the challenges of climate change: A case of Jamnagar City Region, Gujarat, India. Environ. Urban. ASIA 6 (1), 71-91.

[56] Rybråten, S., Bjørkan, M., Hovelsrud, G., Kaltenborn, B., 2018. Sustainable coasts? Perceptions of change and livelihood vulnerability in Nordland, Norway. Local Environ. 23 (12), 1156-1171.

[57] Saïdi, S., Gintzburger, G., Bonnet, P., Daoud, I., Alary, V., 2016. GIS-modelling of land-use trends: Impact of drought in the Naghamish Basin (North Western Egypt). Rangel. J. 38 (6), 605-618.

[58] Sangha, K., Russell-Smith, J., Costanza, R., 2019. Mainstreaming indigenous and local communities’ connections with nature for policy decision-making. Glob. Ecol. Conserv. 19, e00668.

[59] Schernewski, G., Bartel, C., Kobarg, N., Karnauskaite, D., 2018. Retrospective assessment of a managed coastal realignment and lagoon restoration measure: The Geltinger Birk, Germany. J. Coast. Conserv. 22 (1), 157-167.

[60] Shameem, M., Momtaz, S., Kiem, A., 2015. Local perceptions of and adaptation to climate variability and change: The case of shrimp farming communities in the coastal region of Bangladesh. Clim. Chang. 133 (2), 253-266.

[61] Shirzaei, M., Bürgmann, R., 2018. Global climate change and local land subsidence exacerbate inundation risk to the San Francisco Bay Area. Sci. Adv. 4 (3), eaap9234.

[62] Shoorcheh, M., 2019. On the spatiality of geographic knowledge. Asian Geogr. 36 (1), 63-80.

[63] Singh, P., Papageorgiou, K., Chudasama, H., Papageorgiou, E., 2019. Evaluating the effectiveness of climate change adaptations in the world’s largest Mangrove Ecosystem. Sustain 11 (23), 6655.

[64] Sperotto, A., Torresan, S., Gallina, V., Coppola, E., Critto, A., Marcomini, A., 2015. A multi-disciplinary approach to evaluate pluvial floods risk under changing climate: The case study of the municipality of Venice (Italy). Sci. Total Environ. 562, 1031-1043.

[65] Stojanov, R., Du ž í, B., Kelman, I., N ěmec, D., Procházka, D., 2017. Local perceptions of climate change impacts and migration patterns in Malé Maldives. Geogr. J. 183 (4), 370-385.

[66] Torresan, S., Critto, A., Rizzi, J., Zabeo, A., Furlan, E., Marcomini, A., 2016. DESYCO: A decision support system for the regional risk assessment of climate change impacts in coastal zones. Ocean Coast. Manag. 120, 49-63.

[67] Van Tran, T., Elahi, E., Zhang, L., Magsi, H., Pham, Q., Hoang, T., 2019. Historical perspective of climate change in sustainable livelihoods of coastal areas of the Red River Delta, Nam Dinh, Vietnam. Int. J. Clim. Chang. Strateg. Manag. 11, 687-695.

[68] Uddin, M., Bokelmann, W., Dunn, E., 2017. Determinants of Farmers’ Perception of Climate Change: A Case Study from the Coastal Region of Bangladesh. Am. J. Clim. Chang. 6 (1), 151-165.

[69] Vieira, P., Wainer, J., 2013. Correlações entre a contagem de citações de pesquisadores brasileiros, usando o web of science, scopus e scholar. Perspect. em Cienc. da Inf. 18 (3), 45-60.(in Portuguese)

[70] Villamizar, A., Gutiérrez, M., Nagy, G., Caffera, R., Leal Filho, W., 2017. Climate adaptation in South America with emphasis in coastal areas: The state-of-the-art and case studies from Venezuela and Uruguay. Clim. Dev. 9, 364-382.

[71] Vogt, N., Pinedo-Vasquez, M., Brondízio, E., Rabelo, F., Fernandes, K., Almeida, O., Riveiro, S., Deadman, P., Dou, Y., 2016. Local ecological knowledge and incremental adaptation to changing flood patterns in the Amazon delta. Sustain. Sci. 11 (4), 611-623.

[72] Vormoor, K., Lawrence, D., Heistermann, M., Bronstert, A., 2015. Climate change impacts on the seasonality and generation processes of floods -Projections and uncertainties for catchments with mixed snowmelt/rainfall regimes. Hydrol. Earth Syst. Sci. 19, 913-931.

[73] Wang, J., Aenis, T., Hofmann-Souki, S., 2018a. Triangulation in participation: Dynamic approaches for science-practice interaction in land-use decision making in rural China. Land use policy 72, 364-371.

[74] Wang, B., Wang, Q., Wei, Y., Li, Z., 2018b. Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis. Renew. Sustain. Energy Rev. 90, 187-194.

[75] Weber, E., 2010. What shapes perceptions of climate change? Wiley Interdiscip. Rev. Clim. Chang. 1 (3), 332-342.

[76] Wu, F., Geng, Y., Tian, X., Zhong, S., Wu, W., Yu, S., Xiao, S., 2018. Responding climate change: A bibliometric review on urban environmental governance. J. Clean. Prod. 204, 344-354.

[77] Yang, L., Chan, F., Scheffran, J., 2018. Climate change, water management and stakeholder analysis in the Dongjiang River basin in South China. Int. J. Water Resour. Dev. 34 (2), 166-191.