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Bibliometric analysis of Climate Change Vulnerability Assessment research

  • Giovanni Di Matteo
  • Pierfrancesco Nardi
  • Stefano Grego
  • Caterina Guidi
Article

Abstract

The first step in planning the actions for climate change adaptation involves performing Climate Change Vulnerability Assessment (CCVA) to vulnerable populations and ecological systems. The study aims to perform a bibliometric analysis on the CCVA research field to identify how it was structured in terms of the mostly occurring research terms and their citation impact. A set of scientific papers related to CCVA (n = 8941) were retrieved via Elsevier’s Scopus database over the period 1996–2016 using specific keywords. The search was carried out in February 2017. The number of yearly papers published in CCVA research field increased after 2006, increasing more than six times in 2016. Our co-occurrences term analysis grouped four clusters related to (i) exposure, sensitivity, and quantitative methods for assessing CCVA, (ii) adaptive capacity and qualitative approaches, (iii) CCVA integrated approaches by combining participatory methods to quantitative ones, and (iv) collaboration and participation issues related to global change. The co-citation analysis showed that highly cited research terms were related to adaptation, exposure factors, and related changes and global change. This bibliometric analysis has provided an overall picture on the CCVA research field, particularly highlighting its utility for climate change adaptation.

Keywords

Changing climate Co-occurrences term analysis Network analysis Climate change adaptation Meta-data 

Supplementary material

10669_2018_9687_MOESM1_ESM.xlsx (76 kb)
Supplementary material S1. Occurrences and co-occurrences frequencies (i.e., weight co-occurrences column) with the related average citation impact scores (i.e., score based on average citation impact column) found for the four clusters. (XLSX 75 KB)

References

  1. Adger WN (2006) Vulnerability. Glob Environ Change 16:268–281.  https://doi.org/10.1016/j.gloenvcha.2006.02.006 CrossRefGoogle Scholar
  2. Ballard HL, Belsky JM (2010) Participatory action research and environmental learning: implications for resilient forests and communities. Environ Educ Res 16:611–627.  https://doi.org/10.1080/13504622.2010.505440 CrossRefGoogle Scholar
  3. Belter CW, Seidel DJ (2013) A bibliometric analysis of climate engineering research. Clim Change 4:417–427.  https://doi.org/10.1002/wcc.229 CrossRefGoogle Scholar
  4. Biegelbauer P, Hansen J (2011) Democratic theory and citizen participation: democracy models in the evaluation of public participation in science and technology. Sci Public Policy 38:589–597.  https://doi.org/10.3152/030234211X13092649606404 CrossRefGoogle Scholar
  5. Bouroncle C, Imbach P, Rodríguez-Sánchez B, Medellín C, Martinez-Valle A, Läderach P (2017) Mapping climate change adaptive capacity and vulnerability of smallholder agricultural livelihoods in Central America: ranking and descriptive approaches to support adaptation strategies. Clim Change 141:123–137.  https://doi.org/10.1007/s10584-016-1792-0 CrossRefGoogle Scholar
  6. Brugnach M, Craps M, Dewulf A (2014) Including indigenous peoples in climate change mitigation: addressing issues of scale, knowledge and power. Clim Change 140:19–32.  https://doi.org/10.1007/s10584-014-1280-3 CrossRefGoogle Scholar
  7. Corobov R, Sîrodoev I, Koeppel S, Denisov N, Sîrodoev G (2013) Assessment of climate change vulnerability at the local level: a case study on the Dniester river basin (Moldova). Sci World J.  https://doi.org/10.1155/2013/173794 CrossRefGoogle Scholar
  8. Cutter SL, Emrich CT, Webb JJ, Morath D (2009) Social vulnerability to climate variability hazards: a review of the literature. Final Report to Oxfam America, pp 1–44Google Scholar
  9. Di Matteo G, Nardi P, Ceci P, Bajocco S, Herrero G, Dunixi G, Scarascia Mugnozza G (2015) Linking the forest research in the Mediterranean area: a framework to improve research capacities and cooperation. For Policy Econ 50:292–301.  https://doi.org/10.1016/j.forpol.2014.08.003 CrossRefGoogle Scholar
  10. Di Matteo G, Nardi P, Fabbio G (2017) On the use of stable carbon isotopes to detect the physiological impact of forest management: the case of Mediterranean coppice woodland. For Ecol Manag 389:158–166.  https://doi.org/10.1016/j.foreco.2016.12.030 CrossRefGoogle Scholar
  11. Djoudi H, Brockhaus M, Locatelli B (2013) Once there was a lake: vulnerability to environmental changes in northern Mali. Reg Environ Change 13:493–508.  https://doi.org/10.1007/s10113-011-0262-5 CrossRefGoogle Scholar
  12. Dunford R, Harrison PA, Rounsevell MDA (2015) Exploring scenario and model uncertainty in cross-sectoral integrated assessment approaches to climate change impacts. Clim Change 132:417–432.  https://doi.org/10.1007/s10584-014-1211-3 CrossRefGoogle Scholar
  13. Everett Y (2001) Participatory research for adaptive ecosystem management: a case of nontimber forest products. J Sustain For 13:335–357.  https://doi.org/10.1300/J091v13n01_09 CrossRefGoogle Scholar
  14. FAO (2013) Climate-smart agriculture. Sourcebook. Food and Agriculture Organization of United Nations, Rome. http://www.fao.org/docrep/018/i3325e/i3325e.pdf
  15. FAO (2015) Assessing climate change vulnerability in fisheries and aquaculture: available methodologies and their relevance for the sector, by Cecile Brugère and Cassandra De Young. FAO Fisheries and Aquaculture Technical Paper No. 597. Rome, Italy. http://www.fao.org/3/a-i5109e.pdf
  16. Field C, van Aalst M (2014) Climate change 2014: impacts, adaptation, and vulnerability. IPCC, GenevaCrossRefGoogle Scholar
  17. Fischlin A, Midgley GF, Price JT, Leemans R, Gopal B, Turley C, Rounsevell MDA, Dube OP, Tarazona J, Velichko AA (2007) Ecosystems, their properties, goods, and services. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate Change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the fourth assessment report of the Intergovernmental panel on Climate Change. Cambridge University Press, Cambridge, pp 211–272Google Scholar
  18. Fuchs S, Birkmann J, Glade T (2012) Vulnerability assessment in natural hazard and risk analysis: current approaches and future challenges. Nat Hazards 64:1969–1975.  https://doi.org/10.1007/s11069-012-0352-9 CrossRefGoogle Scholar
  19. Füssel HM (2007) Vulnerability: a generally applicable conceptual framework for climate change research. Glob Environ Change 17:155–167.  https://doi.org/10.1016/j.gloenvcha.2006.05.002 CrossRefGoogle Scholar
  20. Füssel HM, Klein RJT (2006) Climate change vulnerability assessments: an evolution of conceptual thinking. Clim Change 75(3):301–329.  https://doi.org/10.1007/s10584-006-0329-3 CrossRefGoogle Scholar
  21. Gall M, Nguyen KH, Cutter S (2015) Integrated research on disaster risk: is it really integrated? Int J Disaster Risk Reduct 12:255–267.  https://doi.org/10.1016/j.ijdrr.2015.01.010 CrossRefGoogle Scholar
  22. Giupponi C, Giove S, Giannini V (2013) A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change. Environ Modell Softw 44:136–147.  https://doi.org/10.1016/j.envsoft.2012.05.004 CrossRefGoogle Scholar
  23. Haasnoot M, Middelkoop H, Offermans A et al (2012) Exploring pathways for sustainable water management in river deltas in a changing environment. Clim Change 115:795–819.  https://doi.org/10.1007/s10584-012-0444-2 CrossRefGoogle Scholar
  24. Haasnoot M, van Deursen WPA, Guillaume JHA, Kwakkel JH, van Beek E, Middelkoop H (2014) Fit for purpose? Building and evaluating a fast, integrated model for exploring water policy pathways. Environ Modell Softw 60:99–120.  https://doi.org/10.1016/j.envsoft.2014.05.020 CrossRefGoogle Scholar
  25. Hammill A, Bizikova L, Dekens J, McCandless M (2013) Comparative analysis of climate change vulnerability assessments. Lessons from Tunisia and Indonesia. Competence Centre for Climate Change, Bonn, Germany. https://gc21.giz.de/ibt/var/app/wp342deP/1443/wp content/uploads/filebase/va/vulnerability-guides-manuals-reports/Comperative-analysis-of-climate-change-vulnerability-assessments.pdf
  26. Haunshild R, Bornmann L, Marx W (2016) Climate change research in view of bibliometrics. PLoS ONE 11(7):e0160393.  https://doi.org/10.1371/journal.pone.0160393 CrossRefGoogle Scholar
  27. Hinkel J (2011) Indicators of vulnerability and adaptive capacity: towards a clarification of the science-policy interface. Glob Environ Change 21:198–208.  https://doi.org/10.1016/j.gloenvcha.2010.08.002 CrossRefGoogle Scholar
  28. Holsten A, Kropp JP (2012) An integrated and transferable climate change vulnerability assessment for regional application. Nat Hazards 64:1977–1999.  https://doi.org/10.1007/s11069-012-0147-z CrossRefGoogle Scholar
  29. Jenkins K, Hall J, Glenis V, Kilsby C, McCarthy M, Goodess C, Smith D, Malleson N, Birkin M (2014) Probabilistic spatial risk assessment of heat impacts and adaptations for London. Clim Change 124:105–117.  https://doi.org/10.1007/s10584-014-1105-4 CrossRefGoogle Scholar
  30. Joakim EP, Mortsch L, Oilahen G (2015) Using vulnerability and resilience concepts to advance climate change adaptation. Environ Hazards 14:137–155.  https://doi.org/10.1080/17477891.2014.1003777 CrossRefGoogle Scholar
  31. Jurgilevich A, Räsänen A, Groundstroem F, Juhola S (2017) A systematic review of dynamics in climate risk and vulnerability assessments. Environ Res Lett 12(1):013002.  https://doi.org/10.1088/1748-9326/aa5508 CrossRefGoogle Scholar
  32. Karimi F, Khalilpour B (2015) Evolution of carbon capture and storage research: trends of international collaborations and knowledge maps. Int J Greenh Gas Control 37:362–376.  https://doi.org/10.1016/j.ijggc.2015.04.002 CrossRefGoogle Scholar
  33. Kwakkel JH, Haasnoot M, Walker WE (2015) Developing dynamic adaptive policy pathways: a computer-assisted approach for developing adaptive strategies for a deeply uncertain world. Clim Change 132:373–386.  https://doi.org/10.1007/s10584-014-1210-4 CrossRefGoogle Scholar
  34. Liu X, Zhang L, Hong H (2011) Global biodiversity research during 1900–2009: a bibliometric analysis. Biodivers Conserv 20:807–826.  https://doi.org/10.1007/s10531-010-9981-z CrossRefGoogle Scholar
  35. Locatelli B, Herawati H, Brockhaus M, Idinoba M, Kanninen M (2008) Methods and tools for assessing the vulnerability of forests and people to climate change. An introduction. Working Paper No. 43. CIFOR. http://www.cifor.org/publications/pdf_files/WPapers/WP43Locatelli.pdf
  36. Malone EL, Engle NL (2011) Evaluating regional vulnerability to climate change: purposes and methods. Wiley Interdiscip Rev: Clim Change 2(3):462–474.  https://doi.org/10.1002/wcc.116 CrossRefGoogle Scholar
  37. Metternicht G, Sabelli A, Spensley J (2014) Climate change vulnerability, impact and adaptation assessment. Lessons from Latin America. Int J Clim Change Strateg Manag 6(4):442–476.  https://doi.org/10.1108/IJCCSM-06-2013-0076 CrossRefGoogle Scholar
  38. Mucke P (2012) World Risk Report: environmental degradation increases disaster risk worldwide alliance development works. BerlinGoogle Scholar
  39. Nardi P, Di Matteo G, Palahi M, Scarascia Mugnozza G (2016) Structure and evolution of Mediterranean forest research: a science mapping approach. PLoS ONE 11(5):e0155016.  https://doi.org/10.1371/journal.pone.0155016 CrossRefGoogle Scholar
  40. O’Brien KL, Leichenko RM (2000) Double exposure: assessing the impacts of climate change within the context of economic globalization. Glob Environ Change 10(3):221–232CrossRefGoogle Scholar
  41. Ordóñez C, Duinker PN (2015) Climate change vulnerability assessment of the urban forest in three Canadian cities. Clim Change 131:531–543CrossRefGoogle Scholar
  42. Pain R, Francis P (2003) Reflections on participatory research. Area 35:46–54.  https://doi.org/10.1111/1475-4762.00109 CrossRefGoogle Scholar
  43. Pallottino F, Biocca M, Nardi P, Figorilli S, Menesatti P, Costa C (2018) Science mapping approach to analyze the research evolution on precision agriculture: world, EU and Italian situation. Precision Agriculture.  https://doi.org/10.1007/s11119-018-9569-2
  44. Paris P, Di Matteo G, Tarchi M, Tosi L, Spaccino L, Lauteri M (2018) Precision subsurface drip irrigation increases yield while sustaining water-use efficiency in Mediterranean poplar bioenergy plantations. For Ecol Manag 409:749–756.  https://doi.org/10.1016/j.foreco.2017.12.013 CrossRefGoogle Scholar
  45. Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) (2007) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  46. Rizzi F, van Eck NJ, Frey M (2014) The production of scientific knowledge on renewable energies: worldwide trends, dynamics and challenges and implications for management. Renew Energy 62:657–671.  https://doi.org/10.1016/j.renene.2013.08.030 CrossRefGoogle Scholar
  47. Sessa C, Ricci A (2010) Working with and for the citizens. Innov: Eur J Soc Sci Res 23(1):49–60.  https://doi.org/10.1080/13511611003791174 CrossRefGoogle Scholar
  48. Sheppard SRJ (2005) Participatory decision support for sustainable forest management: a framework for planning with local communities at the landscape level in Canada. Can J For Res 35:1515–1526.  https://doi.org/10.1139/X05-084 CrossRefGoogle Scholar
  49. Simha P, Mutiara ZZ, Gaganis P (2017) Vulnerability assessment of water resources and adaptive management approach for Lesvos Island, Greece. Sustain Water Resour Manag 3(3):283–295CrossRefGoogle Scholar
  50. Small H (1973) Co-citation in the scientific literature: a new measure of the relationship between two documents. J Assoc Inf Sci Technol 24:256–269.  https://doi.org/10.1002/asi.4630240406 CrossRefGoogle Scholar
  51. Small H (1999) Visualizing science by citation mapping for Information Science. J Assoc Inf Sci Technol 50:799–813Google Scholar
  52. Smit B, Wandel J (2006) Adaptation, adaptive capacity and vulnerability. Glob Environ Change.  https://doi.org/10.1016/j.gloenvcha.2006.03.008 CrossRefGoogle Scholar
  53. Tellman B, Saiers JE, Cruz OAR (2015) Quantifying the impacts of land use change on flooding in data-poor watersheds in El Salvador with community-based model calibration. Reg Environ Change 16:1183–1196.  https://doi.org/10.1007/s10113-015-0841-y CrossRefGoogle Scholar
  54. Tonmoy FN, El-Zein A, Hinkel J (2014) Assessment of vulnerability to climate change using indicators. A meta-analysis of the literature. Clim Change 5(6):775–792.  https://doi.org/10.1002/wcc.314 CrossRefGoogle Scholar
  55. Turner B, Kasperson RE, Matson PA, McCarthy JJ, Corell RW, Christensen L, Eckely N, Kasperson JX, Luers A, Martello ML, Polsky C, Pulsipher A, Schiller A (2003) A framework for vulnerability analysis in sustainability science. Proc Natl Acad Sci 100:8074–8079.  https://doi.org/10.1073/pnas.1231335100 CrossRefGoogle Scholar
  56. Van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84:523–538.  https://doi.org/10.1007/s11192-009-0146-3 CrossRefGoogle Scholar
  57. van Ruijven BJ, Levy MA, Agrawal A, Biermann F, Birkmann J, Carter TR, Kemp-Benedict E (2014) Enhancing the relevance of shared socioeconomic pathways for climate change impacts, adaptation and vulnerability research. Clim Change 122:481–494.  https://doi.org/10.1007/s10584-013-0931-0 CrossRefGoogle Scholar
  58. Viguié V, Hallegatte S, Rozenberg J (2014) Downscaling long term socio-economic scenarios at city scale: a case study on Paris. Technol Forecast Soc 87:305–324.  https://doi.org/10.1016/j.techfore.2013.12.028 CrossRefGoogle Scholar
  59. Waltman L, van Eck NJ (2013) A smart local moving algorithm for large-scale modularity-based community detection. Eur Phys J B 86(11):471CrossRefGoogle Scholar
  60. Waltman L, van Eck NJ, Noyons EC (2010) A unified approach to mapping and clustering of bibliometric networks. J Informetr 4(4):629–635CrossRefGoogle Scholar
  61. Weis SWM, Agostini VN, Roth LM, Gilmer B, Schill SR, Knowles JE, Blyther R (2016) Assessing vulnerability: an integrated approach for mapping adaptive capacity, sensitivity, and exposure. Clim Change 136:615–629.  https://doi.org/10.1007/s10584-016-1642-0 CrossRefGoogle Scholar
  62. Wongbusarakum S, Loper C (2011) Indicators to assess community-level social vulnerability to climate change: an addendum to SocMon and SEM-Pasifika regional socioeconomic monitoring guidelines. The Nature Conservancy and the NOAA Coral Reef Conservation ProgramGoogle Scholar
  63. Zhuang Y, Liu X, Nguyen T, He Q, Hong S (2013) Global remote sensing research trends during 1991–2010: a bibliometric analysis. Scientometrics 96:203–219.  https://doi.org/10.1007/s11192-012-0918-z CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Council for Agricultural Research and EconomicsResearch Centre for Agriculture and Environment (CREA)RomeItaly
  2. 2.Centro Interuniversitario di Ricerca Per lo Sviluppo sostenibile (CIRPS)RomeItaly
  3. 3.UNSW LawUNSWSydneyAustralia

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