IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i8p1244-d1444409.html
   My bibliography  Save this article

Nitrogen Rate Assessment for Greenhouse Gas Emission Mitigation and Quality Maintenance in Sustainable Turf Management

Author

Listed:
  • Leonardo Verdi

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy)

  • Lisa Caturegli

    (Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy)

  • Simone Magni

    (Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy)

  • Marco Volterrani

    (Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy)

  • Anna Dalla Marta

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy)

  • Simone Orlandini

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy)

  • Ada Baldi

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Florence, Italy)

Abstract

Turfgrass systems hold significant climate change mitigation value, but their management often negates the beneficial effects due to the intense adoption of external inputs. The research objective in this paper was to assess the nitrogen fertilization rate able to maintain the ideal esthetic characteristics of Zoysia turfgrass, reducing the environmental impacts associated with greenhouse gas (GHG) emissions. A two-year open field experiment was conducted. Nitrogen was added to the soil at six rates (0, 50, 100, 150, 200, and 250 kg ha −1 ). The GHG emissions were monitored using a portable gas analyzer and the static chamber methodology. Cumulative environmental impacts were calculated from the inclusion of CO 2 , CH 4 , and, N 2 O using the Global Warming Potential (GWP). The quality assessment of the turf was assessed through a visual and instrumental approach. Higher CO 2 and N 2 O fluxes were linked to high nitrogen rates, ranging from 83.55 to 87.50 and from 0.046 to 0.047 g N-N 2 O ha −1 day −1 for 200 and 250 kg N ha −1 , respectively. CH 4 emissions were not correlated to nitrogen rates. Higher GWP impacts were linked to high N rate treatments. A rate of 100 kg N ha −1 is recommended as the best strategy to reduce GHG emissions while maintaining high turf quality.

Suggested Citation

  • Leonardo Verdi & Lisa Caturegli & Simone Magni & Marco Volterrani & Anna Dalla Marta & Simone Orlandini & Ada Baldi, 2024. "Nitrogen Rate Assessment for Greenhouse Gas Emission Mitigation and Quality Maintenance in Sustainable Turf Management," Agriculture, MDPI, vol. 14(8), pages 1-18, July.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1244-:d:1444409
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/8/1244/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/8/1244/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Zhi-Hua & Zhao, Xiaoxi & Yang, Jiachuan & Song, Jiyun, 2016. "Cooling and energy saving potentials of shade trees and urban lawns in a desert city," Applied Energy, Elsevier, vol. 161(C), pages 437-444.
    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. Renato Soares & Helena Corvacho & Fernando Alves, 2021. "Summer Thermal Conditions in Outdoor Public Spaces: A Case Study in a Mediterranean Climate," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
    2. Yu, Zhaowu & Chen, Tingting & Yang, Gaoyuan & Sun, Ranhao & Xie, Wei & Vejre, Henrik, 2020. "Quantifying seasonal and diurnal contributions of urban landscapes to heat energy dynamics," Applied Energy, Elsevier, vol. 264(C).
    3. Kong, Fanhua & Sun, Changfeng & Liu, Fengfeng & Yin, Haiwei & Jiang, Fei & Pu, Yingxia & Cavan, Gina & Skelhorn, Cynthia & Middel, Ariane & Dronova, Iryna, 2016. "Energy saving potential of fragmented green spaces due to their temperature regulating ecosystem services in the summer," Applied Energy, Elsevier, vol. 183(C), pages 1428-1440.
    4. Vera, Sergio & Pinto, Camilo & Tabares-Velasco, Paulo Cesar & Bustamante, Waldo, 2018. "A critical review of heat and mass transfer in vegetative roof models used in building energy and urban enviroment simulation tools," Applied Energy, Elsevier, vol. 232(C), pages 752-764.
    5. Wang, Chenghao & Wang, Zhi-Hua & Kaloush, Kamil E. & Shacat, Joseph, 2021. "Cool pavements for urban heat island mitigation: A synthetic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    6. Karol Bandurski & Hanna Bandurska & Ewa Kazimierczak-Grygiel & Halina Koczyk, 2020. "The Green Structure for Outdoor Places in Dry, Hot Regions and Seasons—Providing Human Thermal Comfort in Sustainable Cities," Energies, MDPI, vol. 13(11), pages 1-24, June.
    7. Sorada Tapsuwan & Raymundo Marcos‐Martinez & Heinz Schandl & Zefan Yu, 2021. "Valuing ecosystem services of urban forests and open spaces: application of the SEEA framework in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 37-65, January.
    8. Javanroodi, Kavan & Mahdavinejad, Mohammadjavad & Nik, Vahid M., 2018. "Impacts of urban morphology on reducing cooling load and increasing ventilation potential in hot-arid climate," Applied Energy, Elsevier, vol. 231(C), pages 714-746.
    9. Jean C. Bikomeye & Sima Namin & Chima Anyanwu & Caitlin S. Rublee & Jamie Ferschinger & Ken Leinbach & Patricia Lindquist & August Hoppe & Lawrence Hoffman & Justin Hegarty & Dwayne Sperber & Kirsten , 2021. "Resilience and Equity in a Time of Crises: Investing in Public Urban Greenspace Is Now More Essential Than Ever in the US and Beyond," IJERPH, MDPI, vol. 18(16), pages 1-39, August.
    10. Pia Minixhofer & Rosemarie Stangl, 2021. "Green Infrastructures and the Consideration of Their Soil-Related Ecosystem Services in Urban Areas—A Systematic Literature Review," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    11. Maria Ignatieva & Dagmar Haase & Diana Dushkova & Annegret Haase, 2020. "Lawns in Cities: From a Globalised Urban Green Space Phenomenon to Sustainable Nature-Based Solutions," Land, MDPI, vol. 9(3), pages 1-27, March.
    12. Tobias Scholz & Angela Hof & Thomas Schmitt, 2018. "Cooling Effects and Regulating Ecosystem Services Provided by Urban Trees—Novel Analysis Approaches Using Urban Tree Cadastre Data," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    13. You Jin Kwon & Dong Kun Lee, 2019. "Thermal Comfort and Longwave Radiation over Time in Urban Residential Complexes," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    14. Jan Winkler & Monika Malovcová & Dana Adamcová & Paweł Ogrodnik & Grzegorz Pasternak & David Zumr & Marek Kosmala & Eugeniusz Koda & Magdalena Daria Vaverková, 2021. "Significance of Urban Vegetation on Lawns Regarding the Risk of Fire," Sustainability, MDPI, vol. 13(19), pages 1-15, October.
    15. Yihan Yin & Song Li & Xiaoyi Xing & Xinyi Zhou & Yujie Kang & Qi Hu & Yanjing Li, 2024. "Cooling Benefits of Urban Tree Canopy: A Systematic Review," Sustainability, MDPI, vol. 16(12), pages 1-21, June.
    16. Sara Barron & Sophie Nitoslawski & Kathleen L. Wolf & Angie Woo & Erin Desautels & Stephen R. J. Sheppard, 2019. "Greening Blocks: A Conceptual Typology of Practical Design Interventions to Integrate Health and Climate Resilience Co-Benefits," IJERPH, MDPI, vol. 16(21), pages 1-21, November.
    17. Yang, An-Shik & Juan, Yu-Hsuan & Wen, Chih-Yung & Chang, Chao-Jui, 2017. "Numerical simulation of cooling effect of vegetation enhancement in a subtropical urban park," Applied Energy, Elsevier, vol. 192(C), pages 178-200.
    18. Rouhollahi, Mina & Whaley, David & Behrend, Monica & Byrne, Josh & Boland, John, 2022. "The role of residential tree arrangement: A scoping review of energy efficiency in temperate to subtropical climate zones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Giuseppe T. Cirella & Alessio Russo & Federico Benassi & Ernest Czermański & Anatoliy G. Goncharuk & Aneta Oniszczuk-Jastrzabek, 2021. "Energy Re-Shift for an Urbanizing World," Energies, MDPI, vol. 14(17), pages 1-22, September.
    20. Chen, Yixing & Hong, Tianzhen & Piette, Mary Ann, 2017. "Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis," Applied Energy, Elsevier, vol. 205(C), pages 323-335.

    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:gam:jagris:v:14:y:2024:i:8:p:1244-:d:1444409. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.