Thông tin tài nguyên

Multilevel predictors of climate change beliefs in Africa

pmc-PMC8982886.pdf · Phiên bản 1 · 14 trang

18
Bản gốc
Trang 13 · Đoạn 35Vị trí nguồn

43. Shum RY. Effects of economic recession and local weather on climate change attitudes. Clim Policy. 2012; 12: 38–49. https://doi.org/10.1080/14693062.2011.579316 44. Weber EU. What shapes perceptions of climate change? Wiley Interdiscip Rev Clim Chang. 2010; 1: 332–342. https://doi.org/10.1002/wcc.41 45. Trust Slovic P., emotion, sex, politics, and science: Surveying the risk- assessment battlefield. Risk Anal. 1999; 19: 689–701. https://doi.org/10.1023/a:1007041821623 PMID: 10765431 46. Whitmarsh L. Scepticism and uncertainty about climate change: Dimensions, determinants and change over time. Glob Environ Chang. 2011; 21: 690–700. https://doi.org/10.1016/j.gloenvcha.2011.01.016 47. Linke AM, Witmer FDW, O’Loughlin J. Do people accurately report droughts? Comparison of instru- ment-measured and national survey data in Kenya. Clim Change. 2020; 162: 1143–1160. https://doi. org/10.1007/s10584-020-02724-3 48. Henriksson R, Vincent K, Archer E, Jewitt G. Understanding gender differences in availability, accessi- bility and use of climate information among smallholder farmers in Malawi. Clim Dev. 2021; 13: 503– 514. https://doi.org/10.1080/17565529.2020.1806777 49. Maddison D. The Perception of and Adaptation to Climate Change in Africa. World Bank Policy Res Work Pap. 2007 [cited 23 Feb 2021]. Available: http://econ.worldbank.org. 50. Finucane ML, Slovic P, Mertz CK, Flynn J, Satterfield TA. Gender, race, and perceived risk: The “white male” effect. Heal Risk Soc. 2000; 2: 159–172. https://doi.org/10.1080/713670162

Trang 13 · Đoạn 36Vị trí nguồn

51. Breiman L. Random forests. Mach Learn. 2001; 45: 5–32. https://doi.org/10.1023/A:1010933404324 52. Forkuor G, Hounkpatin OKL, Welp G, Thiel M. High resolution mapping of soil properties using Remote Sensing variables in south-western Burkina Faso: A comparison of machine learning and multiple linear regression models. PLoS One. 2017; 12: e0170478. https://doi.org/10.1371/journal.pone.0170478 PMID: 28114334 53. Strobl C, Malley J, Tutz G. An Introduction to Recursive Partitioning: Rationale, Application, and Char- acteristics of Classification and Regression Trees, Bagging, and Random Forests. Psychol Methods. 2009; 14: 323–348. https://doi.org/10.1037/a0016973 PMID: 19968396 54. Wright MN, Ziegler A. ranger: A fast implementation of Random Forests for high dimensional data in C+ + and R. J Stat Softw. 2017;77. https://doi.org/10.18637/jss.v077.i01 55. Nembrini S, Ko¨ nig IR, Wright MN. The revival of the Gini importance? Valencia A, editor. Bioinformatics. 2018; 34: 3711–3718. https://doi.org/10.1093/bioinformatics/bty373 PMID: 29757357 56. Harris I, Osborn TJ, Jones P, Lister D. Version 4 of the CRU TS monthly high-resolution gridded multi- variate climate dataset. Sci Data. 2020; 7: 1–18. https://doi.org/10.1038/s41597-019-0340-y PMID: 31896794 57. Hendrix CS, Salehyan I. Climate change, rainfall, and social conflict in Africa. J Peace Res. 2012; 49: 35–50. https://doi.org/10.1177/0022343311426165 58. Vicente-Serrano SM, Beguerı´a S, Lo´pez-Moreno JI. A multiscalar drought index sensitive to global

Trang 13 · Đoạn 37Vị trí nguồn

warming: The standardized precipitation evapotranspiration index. J Clim. 2010; 23: 1696–1718. https://doi.org/10.1175/2009JCLI2909.1 59. Niang I, Ruppel OC, Abdrabo MA, Essel A, Lennard C, Padgham J, et al. Africa. Climate Change 2014: Impacts, Adaptation, and Vulnerability Part B: Regional Aspects Contribution of Working GroupII to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. New York: Cambridge University Press; 2014. 60. Mubaya CP, Njuki J, Mutsvangwa EP, Mugabe FT, Nanja D. Climate variability and change or multiple stressors? Farmer perceptions regarding threats to livelihoods in Zimbabwe and Zambia. J Environ Manage. 2012; 102: 9–17. https://doi.org/10.1016/j.jenvman.2012.02.005 PMID: 22425874 61. Markowitz EM, Shariff AF. Climate change and moral judgement. Nat Clim Chang. 2012; 2: 243–247. https://doi.org/10.1038/nclimate1378 62. Boto-Garcı´a D, Bucciol A. Climate change: Personal responsibility and energy saving. Ecol Econ. 2020; 169: 106530. https://doi.org/10.1016/j.ecolecon.2019.106530 63. Lorenzoni I, Nicholson-Cole S, Whitmarsh L. Barriers perceived to engaging with climate change among the UK public and their policy implications. Glob Environ Chang. 2007; 17: 445–459. https://doi. org/10.1016/j.gloenvcha.2007.01.004 64. Fritze JC, Blashki GA, Burke S, Wiseman J. Hope, despair and transformation: Climate change and the promotion of mental health and wellbeing. Int J Ment Health Syst. 2008; 2: 13. https://doi.org/10.1186/ 1752-4458-2-13 PMID: 18799005

Trang 13 · Đoạn 38Vị trí nguồn

65. Hornsey MJ, Fielding KS, McStay R, Reser JP, Bradley GL, Greenaway KH. Evidence for motivated control: Understanding the paradoxical link between threat and efficacy beliefs about climate change. J Environ Psychol. 2015; 42: 57–65. https://doi.org/10.1016/j.jenvp.2015.02.003 PLOS ONE Multilevel predictors of climate change beliefs in Africa PLOS ONE | https://doi.org/10.1371/journal.pone.0266387 April 5, 2022 13 / 14