IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v432y2020ics0304380020302817.html
   My bibliography  Save this article

Potential planting areas for native tree species in minas gerais state, Brazil, based on environmental variables and wood demand

Author

Listed:
  • Martins, Thales G.V.
  • Reis, Geraldo G.
  • Reis, Maria G.F.
  • Telles, Lucas A.A.
  • Lage, Mayara R.
  • Mendes, Gleidson G.C.
  • Pinto, Dayane L.
  • Castro, Nero L.M.
  • Lorenzon, Alexandre S.
  • Silva, Ricardo S.
  • Gonzáles, Duberlí G.E.

Abstract

Wood production from native tree species in Brazil is primarily limited to exploitation of natural forests. The identification of potential habitats for tree planting may provide new opportunities for natural forest conservation and management and increase the viability of native species plantations for highly valuable wood production. This study aimed to identify potential habitats for native tree planting using a crop-zoning model that combines environmental variables and wood demand modeling. The target region for the study was Minas Gerais (MG) State, Southeast Region, Brazil. The MaxEnt model was used to match environmental variables and the occurrence of 19 economically important tree species. Wood demand modeling was performed through the Grouping Analysis algorithm, using Brazilian consumption records by species. The models generated with MaxEnt were highly accurate (area under the curve [AUC] ≥ 0.77). Apuleia leiocarpa (Vogel) J. F. Macbr., Hymenaea courbaril L., Micropholis venulosa (Mart. & E. ex Miq.) P., P., Pouteria caimito (Ruiz & Pav.) Radlk., Pouteria guianensis Aubl., Simarouba amara Aubl., and Tachigali paniculata Aubl. presented potential cultivation areas occupying 460,881, 572,467, 208,820, 202,989, 118,937, 158,254, and 288,769 km2, respectively. Three classes of wood demand were identified (R2 ≥ 0.82). The Belo Horizonte, Juiz de Fora, Montes Claros, and Ubá micro-regions showed high demand for most species studied. The interaction between wood demand and areas with potential for planting each species allowed the specification of priority regions for reforestation. Regions with high demand and high cultivation potential occupied, in km², 19,993.23 for A. leiocarpa, 4,193.8 for H. courbaril, 1,939.6 for M. venulosa, 16,356.3 for P. caimito, 1,623.6 for P. guianensis, 0.8 for S. amara, and 53,566.2 for T. paniculata. Establishing these native tree species near wood-based industries in regions that match the environmental variables of their occurrence area leads to natural forest conservation and economic growth of consumption centers.

Suggested Citation

  • Martins, Thales G.V. & Reis, Geraldo G. & Reis, Maria G.F. & Telles, Lucas A.A. & Lage, Mayara R. & Mendes, Gleidson G.C. & Pinto, Dayane L. & Castro, Nero L.M. & Lorenzon, Alexandre S. & Silva, Ricar, 2020. "Potential planting areas for native tree species in minas gerais state, Brazil, based on environmental variables and wood demand," Ecological Modelling, Elsevier, vol. 432(C).
    • Handle: RePEc:eee:ecomod:v:432:y:2020:i:c:s0304380020302817
    DOI: 10.1016/j.ecolmodel.2020.109211
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020302817
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109211?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. L. Xu & R. B. Myneni & F. S. Chapin III & T. V. Callaghan & J. E. Pinzon & C. J. Tucker & Z. Zhu & J. Bi & P. Ciais & H. Tømmervik & E. S. Euskirchen & B. C. Forbes & S. L. Piao & B. T. Anderson & S. , 2013. "Temperature and vegetation seasonality diminishment over northern lands," Nature Climate Change, Nature, vol. 3(6), pages 581-586, June.
    2. Marcel Henkel & Tobias Seidel & Jens Suedekum, 2021. "Fiscal Transfers in the Spatial Economy," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 433-468, November.
    3. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.
    4. Stockwell, David R.B. & Noble, Ian R., 1992. "Induction of sets of rules from animal distribution data: A robust and informative method of data analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 385-390.
    5. Jing Yao & David W.S. Wong & Nick Bailey & Jonathan Minton, 2019. "Spatial Segregation Measures: A Methodological Review," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 110(3), pages 235-250, July.
    6. Zhang, Daowei & Stenger, Anne & Harou, Patrice A., 2015. "Policy instruments for developing planted forests: Theory and practices in China, the U.S., Brazil, and France," Journal of Forest Economics, Elsevier, vol. 21(4), pages 223-237.
    7. Grayden J F Solman & Alan Kingstone, 2019. "Spatial organization to facilitate action," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-22, May.
    8. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    9. ., 2019. "Spatial impacts of high speed rail on land value change," Chapters, in: High Speed Rail and China’s New Economic Geography, chapter 2, pages 39-79, Edward Elgar Publishing.
    10. Robin Naidoo & Taylor H Ricketts, 2006. "Mapping the Economic Costs and Benefits of Conservation," PLOS Biology, Public Library of Science, vol. 4(11), pages 1-12, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephan Hoffmann & Dirk Jaeger & Wu Shuirong, 2018. "Adapting Chinese Forest Operations to Socio-Economic Developments: What is the Potential of Plantations for Strengthening Domestic Wood Supply?," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    2. Raghu KC & Mika Aalto & Olli-Jussi Korpinen & Tapio Ranta & Svetlana Proskurina, 2020. "Lifecycle Assessment of Biomass Supply Chain with the Assistance of Agent-Based Modelling," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    3. Rahman, Abul & Khanam, Tahamina & Pelkonen, Paavo, 2017. "People’s knowledge, perceptions, and attitudes towards stump harvesting for bioenergy production in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 107-116.
    4. Eduardo A. Haddad & Luis A. Galvis & Inácio F. Araújo-Junior & Vinicius A.Vale, 2018. "Impact Assessment of Scenarios of Interregional Transfers in Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 16767, Banco de la República, Economía Regional.
    5. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    6. Chopin, Pierre & Guindé, Loïc & Causeret, François & Bergkvist, Göran & Blazy, Jean-Marc, 2019. "Integrating stakeholder preferences into assessment of scenarios for electricity production from locally produced biomass on a small island," Renewable Energy, Elsevier, vol. 131(C), pages 128-136.
    7. Bhatta, Arun & Bigsby, Hugh R. & Cullen, Ross, 2011. "Alternative to Comprehensive Ecosystem Services Markets: The Contribution of Forest-Related Programs in New Zealand," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115350, New Zealand Agricultural and Resource Economics Society.
    8. Paköz, Muhammed Ziya & Yaratgan, Dilara & Şahin, Aydan, 2022. "Re-mapping urban vitality through Jane Jacobs’ criteria: The case of Kayseri, Turkey," Land Use Policy, Elsevier, vol. 114(C).
    9. Abuselidze, George, 2019. "Анализ На Формирането И Прилагането На Бюджетни Политики, Осигуряващи Социално-Икономическото Развитие На Административнотериториалните Единици [Analysis of the formation and use of budgetary polic," MPRA Paper 99889, University Library of Munich, Germany.
    10. Deboni, Tamires Liza & Simioni, Flávio José & Brand, Martha Andreia & Costa, Valdeci José, 2019. "Models for estimating the price of forest biomass used as an energy source: A Brazilian case," Energy Policy, Elsevier, vol. 127(C), pages 382-391.
    11. Lin, Yu-Pin & Wang, Cheng-Long & Yu, Hsiao-Hsuan & Huang, Chung-Wei & Wang, Yung-Chieh & Chen, Yu-Wen & Wu, Wei-Yao, 2011. "Monitoring and estimating the flow conditions and fish presence probability under various flow conditions at reach scale using genetic algorithms and kriging methods," Ecological Modelling, Elsevier, vol. 222(3), pages 762-775.
    12. Palander, Teijo & Haavikko, Hanna & Kärhä, Kalle, 2018. "Towards sustainable wood procurement in forest industry – The energy efficiency of larger and heavier vehicles in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 100-118.
    13. Hanchen Duan & Yuan Qi & Wenping Kang & Jinlong Zhang & Hongwei Wang & Xiaofang Jiang, 2022. "Seasonal Variation of Vegetation and Its Spatiotemporal Response to Climatic Factors in the Qilian Mountains, China," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    14. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    15. Abbas Mardani & Dalia Streimikiene & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Mehrbakhsh Nilashi & Ahmad Jusoh & Habib Zare, 2017. "Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis," Sustainability, MDPI, vol. 9(10), pages 1-65, October.
    16. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
    17. Shukui Tan & Haipeng Song & Ghulam Akhmat & Javeed Hussain, 2014. "Governing Harmonious Human Engagement with the Spatial Capital," Sustainability, MDPI, vol. 6(3), pages 1-19, March.
    18. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2023. "Micro-geographic property price and rent indices," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    19. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    20. Cambero, Claudia & Hans Alexandre, Mariane & Sowlati, Taraneh, 2015. "Life cycle greenhouse gas analysis of bioenergy generation alternatives using forest and wood residues in remote locations: A case study in British Columbia, Canada," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 59-72.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:432:y:2020:i:c:s0304380020302817. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.