Small-scale fisherfolk in Papua New Guinea: Perspectives on climate variability and its impact on coastal fishing operations and activities
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed at exploring climate variability and small-scale fishers’ perspectives on how climate variability impacts fishing operations in Papua New Guinea. Climate data from 2000 to 2020 and participatory interactions with 80 fishers in three fishing villages of East New Britain (ENB) province were utilized. Findings revealed that traditionally, small-scale fisheries (SSFs) have sustained coastal and island communities' livelihoods of ENB for millennia. However, the projected impacts of climate change (CC) are posing significant challenges to fishers, yet limited research has explored the plight of SSFs, and fishers including their knowledge of CC variability. Coastal livelihoods and activities are dependent on fishing and fishing knowledge that is cross-generational. Women and renowned fishers (with unique fish harvesting skills) are critical actors, e.g., in the identifying historically rich fishing grounds, and helping fishers/community in fishing activities and community festivals. Fishing is a sociocultural identity, and this has led to emphasis on sustainable fishing practices, by fishers and some key stakeholders, including the utilization of eco-friendly gear and stone traps. However, the fishers population is ageing. During peak fishing seasons that last one week per month, and depending on the fishing method, fishers earn between 300 to 1500 Kina (72-259 USD) daily. Increasing socioecological shifts were reported, including reducing fish economic value, changing fishing locations, and declining catch. Since 2000, sea surface temperatures (SSTs) have increased by about 1°C and in December 2020, SST reached 30.20°C, with the northern and eastern coastal zones of PNG being greatly affected. Fishers reported four critical concerns that affect their livelihoods and which could increase their vulnerability to human-environmental risks. 65 percent of fishers are uncertain or have limited knowledge on CC, climate variability, drivers, and their impacts. Fishers emphasized fourteen perspectives that could mitigate the increasing socioecological shocks and vulnerabilities they face. Most of the perspectives cut across the socio-cultural, economic, institutional, and environmental domains of sustainable fishing practices. Five starting points for sustainability transformations for policy and research are recommended including: (1) education programs on ecological processes, fishers’ local socioecological knowledge and climate variability, (2) collaborative stakeholder engagements in CC-policy design and community adaptation and mitigation actions, (3) integrated socio-ecological approaches on marine resource management, cost-benefit sharing, and co-management, (4) capacity-building programs and initiatives, and (5) proactive national-level prioritization of coastal and island fishers’ rights. Although fishers in ENB are reportedly uncertain about CC knowledge and yet there is evidence of pronounced climate variability, ocean environmental parameters, threatened fishery and livelihoods vulnerabilities, collaborative and effective fisheries management approaches might mitigate it. This can be via proactive integration of CC adaptation, sustainable fisheries management, better governance within the existing institutional structures, and support for community-led resilience strategies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it