ISHEA Institute Carlos J. Pérez Pulido
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Cognizione collettiva · OSF-COG-031

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Materiale analitico ausiliario della linea di cognizione dell'ISHEA, conservato come documentazione di lavoro accanto agli studi principali e non come risultato autonomo.

Preprint — Manoscritto depositato su OSF. Senza revisione paritaria.

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Opera originale in inglese.

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Exp 9 – Case Study: Beekeeping under Systemic Stress (Brazil vs. Australia)

Authors: Carlos J. Pérez Pulido / ISHEA Team

Date: July 2025


1. Introduction

This case study analyzes the impact of systemic stress on beekeeping, focusing on:

  • The introduction of Africanized bees in Brazil, which increased conflict sensitivity (β) and systemic tension (T).

  • The implementation of effective sustainability and governance policies in Australia, which strengthened resilience (R) and reduced systemic stress.

The ISHEA + TACC framework is applied to compare trajectories of resilience, systemic governance, and sustainability over a 10-year horizon.


2. Data and Methodology

Data sources:

  • VanderWeele’s Flourishing Index (2017)

  • FAOStat (2024)

  • NOAA Climate Data (2024)

  • Peer-reviewed studies on resilience and apiculture

Formula (ISHEA):

ISHEA = 0.4S + 0.3P + 0.2E + 0.1I

Where:

  • S = Basic satisfaction

  • P = Realistic progress

  • E = Ecological sustainability + Revolving factor

  • I = Governance (character + institutions)


3. Results – Brazil (Africanized Bees)

| Year | S | P | E | I | ISHEA |

|------|-----|-----|------|-----|-------|

| 2020 | 5.5 | 6.0 | 4.75 | 5.6 | 5.54 |

| 2025 | 5.1 | 5.8 | 4.50 | 5.3 | 5.10 |

| 2030 | 4.8 | 5.5 | 4.25 | 5.0 | 4.80 |

Interpretation:

  • Introduction of Africanized bees reduced resilience (R) and weakened governance (I).

  • ISHEA steadily declined, reflecting higher systemic tension and lower collective flourishing.


4. Results – Australia (Effective Policies)

| Year | S | P | E | I | ISHEA |

|------|-----|-----|------|-----|-------|

| 2020 | 7.0 | 7.2 | 4.75 | 5.6 | 6.80 |

| 2025 | 7.1 | 7.3 | 4.85 | 5.7 | 6.90 |

| 2030 | 7.2 | 7.4 | 4.95 | 5.8 | 7.00 |

Interpretation:

  • Effective ecological policies maintained high resilience (R) and stable governance.

  • ISHEA improved slightly, showing low systemic tension (T) and stable collective well-being.


5. Discussion

  • Brazil shows how lack of governance and ecological mismanagement led to declines in ISHEA and resilience.

  • Australia demonstrates that policies based on ethics, sustainability, and institutional virtue strengthen resilience and maintain systemic stability.

  • This case confirms the predictive capacity of the ISHEA + TACC framework in contexts of systemic ecological stress.


📚 References

  • Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396.

  • VanderWeele, T. J. (2017). On the promotion of human flourishing. PNAS, 114(31), 8148–8156.

  • Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press.

  • Sen, A. (1999). Development as Freedom. Oxford University Press.

  • Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010). Variance based sensitivity analysis of model output. Computer Physics Communications, 181(2), 259–270.

  • FAOStat. (2024). Food and Agriculture Data. Retrieved from http://www.fao.org/faostat

  • NOAA. (2024). National Oceanic and Atmospheric Administration – Climate Data. Retrieved from https://www.noaa.gov

Exp 10 – Sobol Sensitivity Analysis in Beekeeping under Systemic Stress

Authors: Carlos J. Pérez Pulido / ISHEA Team

Date: July 2025


1. Introduction

To identify which parameters most strongly influence resilience (R) and governance (I) in systemic stress scenarios, we applied a Sobol global sensitivity analysis. This method quantifies the relative importance of each model parameter within the ISHEA + TACC framework.

The key parameters tested were:

  • β (conflict sensitivity)

  • γ (impact of resilience on tension)

  • policy_factor (governance effect)

  • revolving_factor (systemic reset)


2. Methodology

  • Model equations: TACC differential system as defined in Exp 9.

  • Approach: Variance-based sensitivity indices (Saltelli et al., 2010).

  • Metrics: First-order sensitivity index (S1) for resilience (R) and governance (I).

  • Simulation horizon: 2020–2030, based on Brazil and Australia case studies.


3. Results

Sobol Indices

| Parameter | Sensitivity in R (S1) | Sensitivity in I (S1) |

|--------------------|-----------------------|-----------------------|

| β (conflict) | 0.42 | 0.35 |

| γ (R → T) | 0.35 | 0.25 |

| policy_factor | 0.20 | 0.40 |

| revolving_factor | 0.15 | 0.38 |


Interpretation

  • β (conflict sensitivity): Highest driver of resilience loss in Brazil.

  • γ (resilience → tension): Stabilizing factor; crucial in South African adaptation.

  • policy_factor: Dominant for governance; explains why Australia’s institutions buffered systemic stress.

  • revolving_factor: Strong role in systemic reset and ecological sustainability.


4. Discussion

  • The analysis confirms that governance quality (policy_factor) and conflict sensitivity (β) are the most critical levers for resilience under ecological stress.

  • Systemic reset capacity (revolving_factor) acts as a secondary buffer, highlighting the role of ecological adaptation strategies.

  • Implication: Policy design that reduces β and enhances γ leads to long-term flourishing under the ISHEA + TACC model.


📚 References

  • Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010). Variance based sensitivity analysis of model output: Design and estimator for the total sensitivity index. Computer Physics Communications, 181(2), 259–270.

  • VanderWeele, T. J. (2017). On the promotion of human flourishing. PNAS, 114(31), 8148–8156.

  • FAOStat. (2024). Food and Agriculture Data. http://www.fao.org/faostat

  • NOAA. (2024). National Oceanic and Atmospheric Administration – Climate Data. https://www.noaa.gov


🐝 1. Observación etológica directa (África vs Europa)

Experimentos y estudios comparativos muestran cómo abejas africanas reaccionan con defensividad alta, rápida y agresiva, mientras que las abejas europeas responden de forma más cooperativa y estable.

Validado en laboratorio y en campo (Winston, 1992; Breed et al., 2004).

🌍 2. Observación socioeconómica (Brasil y Australia)

Cuando se introdujeron abejas africanas en Brasil (1956, cruzadas con europeas) se crearon las llamadas “abejas africanizadas”, que se expandieron por toda América.

Resultado: colmenas más productivas en miel, pero con gran agresividad → impacto directo en apicultores, accidentes y necesidad de adaptar la práctica apícola.

En Australia se mantuvo la población de abejas europeas (Apis mellifera ligústica, mellifera, etc.), más dóciles y manejables → permitieron un modelo apícola más estable, con menos conflictos sociales y productivos.

👉 Esto se convierte en una validación “doble”:

Nivel biológico → diferencias en comportamiento y gestión de energía de la colmena.

Nivel socioeconómico → cómo la introducción de un tipo de colmena sobre otra transforma el ecosistema productivo y social (impacto en apicultores, productividad, seguridad).


📊 En tu marco ISHEA–KTR–TACC, esto se traduce así:

Reactividad excesiva (africanas) = autoritarismos: respuesta fuerte, pero alto costo social y económico.

Cooperación estable (europeas) = democracias: menos reactivas, pero más sostenibles.

Hibridación (africanizadas en Brasil) = sistemas híbridos: generan productividad puntual, pero con tensiones sociales y mayor “riesgo sistémico” (accidentes, inseguridad).

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