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A Framework Using Open-Source Software for Land Use Prediction and Climate Data Time Series Analysis in a Protected Area of Portugal: Alvão Natural Park

Author

Listed:
  • Saulo Folharini

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

  • António Vieira

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

  • António Bento-Gonçalves

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

  • Sara Silva

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

  • Tiago Marques

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

  • Jorge Novais

    (Communication and Society Research Centre, Department of Geography, University of Minho, 4810-058 Guimarães, Portugal)

Abstract

Changes in land use and land cover (LULC) in protected areas can lead to an ecological imbalance in these territories. Temporal monitoring and predictive modeling are valuable tools for making decisions about conserving these areas and planning actions to reduce the pressure caused by activities such as agriculture. This study accordingly developed an LULC analysis framework based on open-source software (QGIS and R language) and predictive methodology using artificial neural networks in the Alvão Natural Park (PNA), a protected area in northern Portugal. The results show that in 2041, Agriculture and Open Space/Non-vegetation classes will evidence the greatest decrease, while Forest and Bushes will have expanded the most. Spatially, the areas to the west and northeast of the protected area will experience the most significant changes. The relationship of land use classes with data from the climate model HadGEM3-GC31-LL (CMIP6) utilizing scenarios RCP 4.5 and 8.5 demonstrates how through the period 2041–2060 there is a tendency for increased precipitation, which when combined with the dynamics of a retraction in classes such as agriculture, favors the advancement of natural classes such as bushes and forest; however, the subsequent climate data period (2061–2080) projects a decrease in precipitation volumes and an increase in the minimum and maximum temperatures, defining a new pattern with an extension of the period of drought and precipitation being concentrated in a short period of the year, which may result in a greater recurrence of extreme events, such as prolonged droughts that result in water shortages and fires.

Suggested Citation

  • Saulo Folharini & António Vieira & António Bento-Gonçalves & Sara Silva & Tiago Marques & Jorge Novais, 2023. "A Framework Using Open-Source Software for Land Use Prediction and Climate Data Time Series Analysis in a Protected Area of Portugal: Alvão Natural Park," Land, MDPI, vol. 12(7), pages 1-16, June.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1302-:d:1181569
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    References listed on IDEAS

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    1. Janina Kleemann & Camilo Zamora & Alexandra Belen Villacis-Chiluisa & Pablo Cuenca & Hongmi Koo & Jin Kyoung Noh & Christine Fürst & Michael Thiel, 2022. "Deforestation in Continental Ecuador with a Focus on Protected Areas," Land, MDPI, vol. 11(2), pages 1-26, February.
    2. James E. M. Watson & Nigel Dudley & Daniel B. Segan & Marc Hockings, 2014. "The performance and potential of protected areas," Nature, Nature, vol. 515(7525), pages 67-73, November.
    3. Muhammad Hadi Saputra & Han Soo Lee, 2019. "Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton," Sustainability, MDPI, vol. 11(11), pages 1-16, May.
    4. Rizwan Muhammad & Wenyin Zhang & Zaheer Abbas & Feng Guo & Luc Gwiazdzinski, 2022. "Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China," Land, MDPI, vol. 11(3), pages 1-24, March.
    5. Mingarro, Mario & Lobo, Jorge M., 2023. "European National Parks protect their surroundings but not everywhere: A study using land use/land cover dynamics derived from CORINE Land Cover data," Land Use Policy, Elsevier, vol. 124(C).
    6. Kubacka, Marta & Żywica, Patryk & Vila Subirós, Josep & Bródka, Sylwia & Macias, Andrzej, 2022. "How do the surrounding areas of national parks work in the context of landscape fragmentation? A case study of 159 protected areas selected in 11 EU countries," Land Use Policy, Elsevier, vol. 113(C).
    7. Goutam Konapala & Ashok K. Mishra & Yoshihide Wada & Michael E. Mann, 2020. "Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    8. Selma B. Guerreiro & Chris G. Kilsby & Hayley J. Fowler, 2016. "Rainfall in Iberian transnational basins: a drier future for the Douro, Tagus and Guadiana?," Climatic Change, Springer, vol. 135(3), pages 467-480, April.
    9. Zaheer Abbas & Guang Yang & Yuanjun Zhong & Yaolong Zhao, 2021. "Spatiotemporal Change Analysis and Future Scenario of LULC Using the CA-ANN Approach: A Case Study of the Greater Bay Area, China," Land, MDPI, vol. 10(6), pages 1-26, June.
    10. Saulo de Oliveira Folharini & Silas Nogueira de Melo & Stephen R. Cameron, 2022. "Effect of protected areas on forest crimes in Brazil," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(2), pages 272-287, January.
    11. Parvaneh Sobhani & Hassan Esmaeilzadeh & Shahindokht Barghjelveh & Seyed Mohammad Moein Sadeghi & Marina Viorela Marcu, 2021. "Habitat Integrity in Protected Areas Threatened by LULC Changes and Fragmentation: A Case Study in Tehran Province, Iran," Land, MDPI, vol. 11(1), pages 1-25, December.
    12. Dietz, Julia & Treydte, Anna Christina & Lippe, Melvin, 2023. "Exploring the future of Kafue National Park, Zambia: Scenario-based land use and land cover modelling to understand drivers and impacts of deforestation," Land Use Policy, Elsevier, vol. 126(C).
    13. K. Warner & M. Hamza & A. Oliver-Smith & F. Renaud & A. Julca, 2010. "Climate change, environmental degradation and migration," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(3), pages 689-715, December.
    14. David J. Kaczan & Jennifer Orgill-Meyer, 2020. "The impact of climate change on migration: a synthesis of recent empirical insights," Climatic Change, Springer, vol. 158(3), pages 281-300, February.
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