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Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes

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  • Maldonado, A.D.
  • Aguilera, P.A.
  • Salmerón, A.
  • Nicholson, A.E.

Abstract

There is a strong relationship among cultural landscapes, socio-economy and the provision of ecosystem services. The goal of this paper is to study the relationships between socioeconomic changes and the generation of ecosystem services in cultural landscapes in Andalusia (Spain). In order to do that, a causal Object-Oriented Bayesian network (OOBN) approach was carried out. We proposed 3 socioeconomic scenarios: (i) no intervention (rural abandonment); (ii) rural intensification; and (iii) rural development (sustainability). We computed the relative change between the prior and posterior distribution of each variable considered in the model. We also computed the entropy of the ecosystem service variables (ESVs), as a measure of their uncertainty, before and after the introduction of socioeconomic changes. Afterwards, a statistical test was performed in order to find significant differences among the 3 scenarios, regarding the relative change of the state high of the ESVs. Moreover, a t-test was carried out to compare the uncertainty of the prior and posterior distributions of the ESVs. The results showed significant differences among the scenarios. OOBNs are a powerful tool to deal with complex socio-ecological systems. Moreover, the use of Bayesian networks provides a sound way of quantifying uncertainty in a transparent way.

Suggested Citation

  • Maldonado, A.D. & Aguilera, P.A. & Salmerón, A. & Nicholson, A.E., 2018. "Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes," Ecosystem Services, Elsevier, vol. 33(PB), pages 146-164.
  • Handle: RePEc:eee:ecoser:v:33:y:2018:i:pb:p:146-164
    DOI: 10.1016/j.ecoser.2018.04.007
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    Cited by:

    1. Ana D. Maldonado & Darío Ramos-López & Pedro A. Aguilera, 2019. "The Role of Cultural Landscapes in the Delivery of Provisioning Ecosystem Services in Protected Areas," Sustainability, MDPI, vol. 11(9), pages 1-18, April.
    2. Bryant, Benjamin P. & Borsuk, Mark E. & Hamel, Perrine & Oleson, Kirsten L.L. & Schulp, C.J.E. & Willcock, Simon, 2018. "Transparent and feasible uncertainty assessment adds value to applied ecosystem services modeling," Ecosystem Services, Elsevier, vol. 33(PB), pages 103-109.
    3. Rudl Ales & Machar Ivo & Uradnicek Lubos & Praus Ludek & Pechanec Vilem, 2019. "Young urban trees as important structures in the cultural heritage of cities – a case study from Prague," Environmental & Socio-economic Studies, Sciendo, vol. 7(3), pages 14-23, September.
    4. Lyu, Rongfang & Zhao, Wenpeng & Pang, Jili & Tian, Xiaolei & Zhang, Jianming & Wang, Naiang, 2022. "Towards a sustainable nature reserve management: Using Bayesian network to quantify the threat of disturbance to ecosystem services," Ecosystem Services, Elsevier, vol. 58(C).
    5. Ana D. Maldonado & Darío Ramos-López & Pedro A. Aguilera, 2018. "A Comparison of Machine-Learning Methods to Select Socioeconomic Indicators in Cultural Landscapes," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    6. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    7. Feng, Zhe & Jin, Xueru & Chen, Tianqian & Wu, Jiansheng, 2021. "Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing–Tianjin–Hebei region," Land Use Policy, Elsevier, vol. 106(C).

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