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      Climate change awareness and risk perceptions in the coastal marine ecosystem of Palawan, Philippines

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          Abstract

          Understanding coastal communities’ awareness and risk perceptions of climate change impact is essential in developing effective risk communication tools and mitigation strategies to reduce the vulnerability of these communities. In this study, we examined coastal communities’ climate change awareness and risk perceptions of climate change impact on the coastal marine ecosystem, sea level rise impact on the mangrove ecosystem and as a factor affecting coral reefs and seagrass beds. The data were gathered by conducting face-to-face surveys with 291 respondents from the coastal areas of Taytay, Aborlan and Puerto Princesa in Palawan, Philippines. Results showed that most participants (82%) perceived that climate change is happening and a large majority (75%) perceived it as a risk to the coastal marine ecosystem. Local temperature rise and excessive rainfall were found to be significant predictors of climate change awareness. Sea level rise was perceived by most participants (60%) to cause coastal erosion and to affect the mangrove ecosystem. On coral reefs and seagrass ecosystems, anthropogenic drivers and climate change were perceived to have a high impact, while marine livelihoods had a low impact. In addition, we found that climate change risk perceptions were influenced by direct experiences of extreme weather events (i.e., temperature rise and excessive rainfall) and climate-related livelihood damages (i.e., declining income). Climate change risk perceptions were also found to vary with household income, education, age group and geographical location. The results suggest that addressing poverty and effectively communicating climate change risks can improve climate change awareness and risk perceptions.

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          Most cited references103

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          Predictors of public climate change awareness and risk perception around the world

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            Exploratory Factor Analysis: A Guide to Best Practice

            Exploratory factor analysis (EFA) is a multivariate statistical method that has become a fundamental tool in the development and validation of psychological theories and measurements. However, researchers must make several thoughtful and evidence-based methodological decisions while conducting an EFA, and there are a number of options available at each decision point, some better than others. Reviews of the professional literature have consistently found that many applications of EFA are marked by an injudicious choice of methods and incomplete reports. This article provides a systematic, evidence-based guide to the conduct of EFA studies that can be followed by researchers with modest statistical training, supplemented with an example to illustrate its application.
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                Author and article information

                Journal
                UCL Open Environ
                UCL Open Environ
                UCLOE
                UCL Open Environment
                UCL Press (UK )
                2632-0886
                26 January 2023
                2023
                : 5
                : e054
                Affiliations
                [1 ]College of Fisheries and Aquatic Sciences, Western Philippines University, Puerto Princesa City, Philippines
                [2 ]School of Biological and Marine Science, University of Plymouth, Plymouth, UK
                Author notes
                *Corresponding author: E-mail: lutgardo.alcantara@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-6423-7670
                https://orcid.org/0000-0002-8586-8604
                https://orcid.org/0000-0001-6513-901X
                https://orcid.org/0000-0001-8016-9401
                https://orcid.org/0000-0003-3452-1341
                https://orcid.org/0000-0002-0488-1277
                Article
                10.14324/111.444/ucloe.000054
                10208352
                7eaf1e6e-cb57-4731-baf8-fceab8547a3d
                © 2023 The Authors.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 May 2022
                : 16 November 2022
                Page count
                Figures: 8, Tables: 8, References: 106, Pages: 22
                Categories
                Research Article

                climate change awareness,risk perception,exposure,experience,impact,policy

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