Rural Community Residents’ Perceptions and Adaptations to Climate Change Impacts on Heritage and Nature-Based Tourism Resources
Bibliographic record
Abstract
Climate change leads to habitat degradation, species depletion, and tourists’ destination substitution. Aim: This study explores perceptions, adaptation, and mitigation strategies in rural smallholder-dominated agricultural communities in Imo State, Nigeria. Methodology/approach: Data was sourced from rural communities around Abadaba and Oguta lakes and the monkey habitats at Lagwa, Umuezukwe, and Ejemekwuru through a qualitative approach. Reconnaissance, focus group discussions (FGD) and personal interviews with (n=128) key informants (KI) were conducted between January and November 2023. Thematic analysis identified community awareness, adaptation strategies, implementation difficulties, tourism concept awareness, and heritage and nature-based tourism as an adaptation strategy. Findings: In response to climate changes, residents use various strategies for water, forests, and heritage resource conservation. Recommendations: This study’s main argument is that communities experiencing the impacts of climate change need special attention, through the implementation of education and capacity building programs, development of economic diversification initiatives, and encouraging stakeholder collaboration for tourism and conservation. Considering the abundance of natural resources in Imo State, priority and incentives should be given to the heritage and nature-based tourism (H&NBT) sector. Key Words: climate change, heritage and nature-based tourism, okobi, rural communities _____________________________________________________________________________________ Perceptions et adaptations des résidents des communautés rurales aux impacts du changementclimatique sur le patrimoine et les ressources touristiques naturelles RésuméBut : Cette étude a examiné les perceptions, les mesures d'adaptation et d'atténuation dans les communautés agricoles rurales dominées par les petits exploitants de l'État d'Imo, au Nigéria, à la lumière de la dégradation de l'habitat, de la perte d'espèces et de la substitution de destinations touristiques résultant du changement climatique. Objectifs : L’étude a porté sur les perceptions des communautés et les stratégies d'adaptation rurale tout en proposant des suggestions de diversification économique à travers des initiatives de tourisme axé sur le patrimoine et la nature.Méthodologie/approche : Les données primaires proviennent de communautés rurales situées autour des lacs et des habitats des singes. En adoptant une approche qualitative, des observations, des entretiens personnels avec (n = 128) informateurs clés (KI) et trois groupes de discussions (FGD) ontété menés entre janvier et novembre 2023. L'analyse thématique a identifié la sensibilisation de la communauté, les stratégies d'adaptation, les difficultés de mise en œuvre et la sensibilisation au concept de tourisme, mettant également en évidence des stratégies d'adaptation supplémentaires.Résultats : Les résidents adoptent diverses stratégies d'atténuation et d'adaptation pour l'eau, les forêts, la conservation des ressources patrimoniales et les moyens de soutien économique.Recommandations : Les communautés confrontées aux impacts du changement climatique ont besoin de soutien, de programmes de renforcement des capacités et de développement d'initiatives de diversification économique. Une collaboration entre les parties prenantes pour la conservation est proposée pour encourager l'adoption et la priorisation du tourisme basé sur le patrimoine et la nature (H&NBT) par le biais d'incitations, en tenant compte de 'abondance des ressources naturelles dans l'État d'Imo. Mots-clés : changement climatique, tourisme du patrimoine et de la nature, OKOBI, communautés rurales
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".