The Social Side of Biodiversity Loss: A Review of Individual, Collective, and Structural Drivers in Coastal Regions
Abstract
1. Introduction
Climate Change and Biodiversity Loss in Coastal Regions
2. Materials and Methods
3. Results
3.1. Analytical Framing of the Results
3.2. Micro-Level Factors That Contribute to the Protection of Biodiversity, Including Coastal Biodiversity
3.2.1. Age
3.2.2. Gender
3.2.3. Socioeconomic Status
3.2.4. Education
3.2.5. Personality
3.3. Meso-Level Factors That Contribute to the Protection of Biodiversity, Including Coastal Biodiversity
3.3.1. Cross-Sectoral Cooperation and the Role of NGOs
3.3.2. Economic and Institutional Conditions
3.3.3. Participatory Governance and Social Inclusion
3.3.4. Religion, Religious Communities and Spiritual Frameworks
3.3.5. Educational Programs
3.3.6. Education for Sustainable Development in Teacher Education
3.4. Macro-Level Factors That Contribute to the Protection of Biodiversity, Including Coastal Biodiversity
3.4.1. Global Disparities in Biodiversity Data and Access
3.4.2. Societal Personality Profiles and Environmental Engagement
3.4.3. Systemic Leverage Points for Nature Connectedness
3.4.4. Structural Challenges of Environmental Education in Low-Income Settings
4. Discussion
4.1. Summary of Key Findings
4.2. Contradictory Findings and Research Gaps
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Authors | Study Region | Direct Focus on Coastal/Marine Ecosystems | Study Type | Sample | Biodiversity-Related Outcome Variables | Selected Influencing Factors |
---|---|---|---|---|---|---|
Davison et al., 2023 [21] | 14 European countries | Yes | Survey | n = 14,167 | Concern about marine biodiversity loss | Age, gender, SES, education, and personality |
Liu et al., 2014 [22] | USA | No | Three surveys across three years | NA | Public environmental concern | Age, gender, and SES |
Bremner & Park, 2007 [23] | Scotland | No | Survey | n = 248 | Public attitudes to the management of invasive non-native species | Age and gender |
Lucungu et al., 2022 [24] | Congo | No | Survey | n = 138 households | Perception and attitude toward community forestry programs | Age, gender, education, and social capital |
Datta et al., 2023 [25] | India | No | Survey | n = 345 households | Attitudes toward predators in forest villages | Age, gender, and SES |
Bronfman et al., 2015 [26] | Chile | No | Survey | n = 1537 | Environmental behavior | Age, gender, and SES |
Thaller et al., 2020 [27] | Australia | No | Survey | n = 499 | Climate-friendly behavior (conservation behavior, social climate protection, climate citizenship | Age and gender |
Lucrezi, 2022 [28] | Italy | Yes | Semi-structured interviews | n = 202 | Public perceptions of marine environmental issues | Age and gender |
Sakurai et al., 2016 [29] | Japan | Yes | Survey | n = 1746 | Intentions for coastal conservation (willingness to make financial sacrifices) | Age, gender, and SES |
Ressurreição et al., 2012 [30] | Azores islands, Portugal; Gulf of Gdansk, Poland | Yes | Survey | n = 747 | Attitudes toward marine biodiversity, willingness to pay for marine species conservation | Age, gender, and SES |
Eylering et al., 2022 [31] | Germany | No | Survey | n = 579 | Willingness to donate to bird conservation, actual donations | Age, gender, SES, and education |
Dörge et al., 2022 [32] | Germany | No | Survey | n = 515 | Willingness to donate to insect conservation, actual donations | Age, gender, SES, and education |
Veríssimo et al., 2018 [33] | Australia | No | Field-based observational study | n = 34 locations, 850 campaigns | Donations to conservation campaigns | Age, gender, SES, and education (regional profiles) |
Musa & Nadarajah, 2023 [34] | Malaysia | No | Survey | n = 250 | Willingness to pay for green tourism conservation | Age, SES, and education |
Méndez-López et al., 2019 [35] | Mexico | No | Survey | n = 670 | Participation in conservation initiatives | Age and gender |
Kouassi et al., 2021 [36] | Côte d’Ivoire | No | Survey | n = 910 households | Cocoa farmers’ willingness to adopt cocoa agroforestry | Age and gender |
Page & Bellotti, 2015 [37] | Australia | No | Survey | n = 91 | Farmers’ valuation of ecosystem services | Age, gender, and SES |
Bowman et al., 2012 [38] | USA | No | Survey | n = 777 | Willingness to pay for conservation design and low-impact development features in residential subdivisions | Age, gender, and SES |
Boeri et al., 2020 [39] | UK | Yes | Discrete choice experiment | n = 3000 | Preferences and willingness to pay for different coastal bird conservation measures | Age, gender, and SES |
James et al., 2023 [40] | NA | No | Survey-based case study | n = 904 | Women’s experiences in conservation careers | Gender |
Sylvester & Little, 2021 [41] | Costa Rica | No | Interview-based case study | n = 9 | Women’s participation in agroecology | Gender |
Amano & Sutherland, 2013 [87] | Global context | No | Secondary data analysis | NA | Availability of biodiversity data | Gross domestic product |
Bravo-Monroy et al., 2016 [42] | Santander, Colombia | No | Ethnographic techniques and survey | n = 134 | Coffee farmers’ adoption of organic practices | Education |
Canavari et al., 2022 [43] | Pesaro-Urbino province, Italy | No | Survey | n = 202 | Farmers’ intentions to adopt organic farming | Education |
Liu et al., 2019 [44] | USA | No | Survey | n = 456 | Farmers’ choice to convert to organic farming | Education |
Gifford & Nilsson, 2014 [46] | NA | No | Review | NA | Pro-environmental concern and behavior | Education |
Bhandari & Heshmati, 2010 [47] | Sikkim, India | No | Survey | n = 375 | Tourists’ willingness to pay for biodiversity conservation | Education |
Carlesi et al., 2023 [48] | Italy | Yes | Discrete choice experiment | n = 800 | Support preferences and willingness to donate to deep sea protection | Education |
Lundberg et al., 2019 [50] | Finland | No | Survey | n = 2079 | Willingness to donate to ecosystems and flagship species | Education |
Brouwer et al., 2008 [49] | Amsterdam, Netherlands | No | Survey | n = 1177 | Willingness to pay for bird protection | Education |
Sundaraja et al., 2023 [79] | Australia | No | Experiment | n = 628 | Intentions and actual purchasing of sustainable products (palm oil) | Educational intervention |
Børresen et al., 2022 [80] | Ngorongoro District, Tanzania | No | Quasi-experiment | n = 180 | Knowledge, views, and attitudes towards ecosystem services and biodiversity | Educational program |
Fjællingsdal & Klöckner, 2019 [81] | Norway | No | Case study | n = 7 | Environmental consciousness | Educational simulation game |
Schüßler et al., 2019 [82] | Madagascar | No | Review | n = 248 environmental education interventions | Pro-environmental behavior | Educational intervention |
Martini et al., 2014 [83] | Minnesota, USA | No | Mixed methods | NA | Diffusion of yard care knowledge | Educational material |
Brandt et al., 2022 [84] | USA; Germany | No | Comparative case study | n = 182 | Pre-service teachers’ action competence for EDS | Teacher education |
Büssing et al., 2019 [85] | Germany | No | Survey | n = 120 | Pre-service teachers’ motivation towards teaching about EDS (natural remigration and conservation of the gray wolf) | Teacher education |
Richter-Beuschel & Bögeholz, 2020 [86] | Germany | No | Survey | n = 236 | Pre-service teachers’ procedural knowledge of biodiversity and climate change | Teacher education |
Martín et al., 2023 [51] | Canary Islands, Spain | No | Quasi-experiment | n = 409 | Reactions to protected and domestic animal abuse and illegal dumping | Personality (psychopathy, empathy with people, and empathy with nature) |
Milfont & Sibley, 2012 [52] | New Zealand (studies 1 and 2); global context (study 3) | No | Survey | n = 3864 (study 1), n = 377 (study 2), n = 51 countries (study 3) | Environmental engagement | Personality (Big Five) |
Soga et al., 2018 [53] | Japan | No | Survey | n = 5801 | Children’s direct experiences of nature | Emotional connectedness to nature |
Soliño & Farizo, 2014 [54] | Spain | No | Discrete choice experiment | n = 2224 | Preferences for developing an environmental forest management program | Personality (Big Five) |
Monteiro et al., 2023 [55] | Brazil | No | Survey | n = 305 | Environmentalism | Personality (Big Five and Dark Triad) |
Csete & Szécsi, 2015 [56] | Hungary | No | Mixed methods | n = 23 | Tourism provider attitudes | Knowledge and attitudes towards climate change; willingness to change behavior |
Martini et al., 2017 [57] | Province of Trento, Italy | No | Mixed methods | n = 167 | Conservation of natural resources through bottom-up governance within Networks of Reserves | Cooperation between actors and participation |
Olive & Penton, 2018 [59] | Ontario, Canada | No | Survey | n = 42 environmental NGOs | Species conservation | Role of NGOs |
Martin et al., 2022 [60] | NA | NA | Review | NA | Synthesis of key climate findings with relevance to biodiversity, including adaptation limits, land use practices, and emerging ecological health risks | Economic and institutional conditions |
Guerra & Gonçalves, 2023 [61] | Portugal | No | Mixed methods | n = 1 co-creation project | Sustainable tourism | Co-creation and participation |
Brooks, 2016 [62] | NA | No | Review | n = 136 community-based conservation projects | Success of community-based conservation projects | Participatory governance |
Ewane, 2023 [63] | Cameroon | No | Mixed methods | n = 134 | Community participation in ecosystem restoration and conservation initiatives (tree planting) | Community volunteers’ motivations, challenges, and barriers |
Nordstrom et al., 2002 [64] | New Jersey, USA | Yes | Case study | NA | Successful dune management integrating biodiversity and natural processes into engineered coastal protection | Municipal investment |
Alexander et al., 2018 [65] | Chobe District, Botswana | No | Mixed methods | n = 179 households | Landscape use dependencies and access to ecosystem services; biodiversity-related livelihood risks from tourism-driven land use change | Social inclusion |
Votrin, 2005 [67] | Russia; Ethiopia | No | Comparative analysis | NA | Biodiversity-related attitudes within the Russian and Ethiopian Orthodox Church | Religious institutions |
Murray & Agyare, 2018 [68] | Ghana | No | Mixed methods | n = 5 Community Resource Management Areas | Perceived performance of Community Resource Management Areas | Religious identity |
Adeyanju et al., 2022 [73] | Nigeria | No | Mixed methods | n = 3 sacred groves | Biodiversity conservation | Religio-cultural benefits |
Kosoe et al., 2020 [74] | Ghana | No | Exploratory mixed-methods study | n = 3 communities | Biodiversity conservation | Religious identity and indigenous knowledge systems |
Van de Water et al., 2023 [75] | South Africa | No | Mixed methods | n = 68 (quantitative approach), n = 61 (qualitative approach) | Visions and perspectives towards (elephant) conservation | Secular and sacred principles |
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Yendell, A.; Jaeckel, Y.; Bär, G.; Lerch, H. The Social Side of Biodiversity Loss: A Review of Individual, Collective, and Structural Drivers in Coastal Regions. Sustainability 2025, 17, 6547. https://doi.org/10.3390/su17146547
Yendell A, Jaeckel Y, Bär G, Lerch H. The Social Side of Biodiversity Loss: A Review of Individual, Collective, and Structural Drivers in Coastal Regions. Sustainability. 2025; 17(14):6547. https://doi.org/10.3390/su17146547
Chicago/Turabian StyleYendell, Alexander, Yvonne Jaeckel, Giulia Bär, and Helene Lerch. 2025. "The Social Side of Biodiversity Loss: A Review of Individual, Collective, and Structural Drivers in Coastal Regions" Sustainability 17, no. 14: 6547. https://doi.org/10.3390/su17146547
APA StyleYendell, A., Jaeckel, Y., Bär, G., & Lerch, H. (2025). The Social Side of Biodiversity Loss: A Review of Individual, Collective, and Structural Drivers in Coastal Regions. Sustainability, 17(14), 6547. https://doi.org/10.3390/su17146547