IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i7p1105-d866458.html
   My bibliography  Save this article

Landscape and Vegetation Patterns Zoning Is a Methodological Tool for Management Costs Implications Due to Xylella fastidiosa Invasion

Author

Listed:
  • Francesco Bozzo

    (Department of Agro-Environmental and Territorial Sciences, University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
    Sinagri Srl, Spin Off of the University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy)

  • Michel Frem

    (Department of Agro-Environmental and Territorial Sciences, University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
    Sinagri Srl, Spin Off of the University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
    Lebanese Agricultural Research Institute, Zone El Roumieh, Qleiat, Keserwan, Lebanon)

  • Vincenzo Fucilli

    (Department of Agro-Environmental and Territorial Sciences, University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
    Sinagri Srl, Spin Off of the University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy)

  • Gianluigi Cardone

    (Mediterranean Agronomic Institute, CIHEAM BARI, Via Ceglie 9, Valenzano, 70010 Bari, Italy)

  • Paolo Francesco Garofoli

    (Department of Environment, Landscape and Urban Quality, Apulia Region, Via Giovanni Gentile 52, 70126 Bari, Italy)

  • Stefania Geronimo

    (Department of Environment, Landscape and Urban Quality, Apulia Region, Via Giovanni Gentile 52, 70126 Bari, Italy)

  • Alessandro Petrontino

    (Department of Agro-Environmental and Territorial Sciences, University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
    Sinagri Srl, Spin Off of the University of Bari—Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy)

Abstract

Philaenus spumarius (Linnaeus 1758, hereafter Ps ) is considered one of the main insect vectors responsible for the spread of an alien biota, Xylella fastidiosa (Wells 1987, hereafter Xf ), in the Salento area, Apulia region (Southern Italy). Effective management of this biological invader depends on the continuous surveillance and monitoring of its insect vector. As such, this research elicits the invasion drivers (i.e., landscape and vegetation indicators) that influence the abundance and the dynamics of this vector and, consequently, the spatial spread of this bacterium in this Italian region. For this purpose, a spatial pattern clustering methodological approach is considered. The results reveal that spatial variation and territorial differentiation may differ from zone to zone in the same invaded area, for which effective management and monitoring planning should be addressed. Further, six agro-ecosystems zones have been identified with respect to five indicators: (i) vegetation index, (ii) intensity of cultivation, (iii) cultural diversity, (iv) density of agricultural landscape elements, and (v) altitude. This paper has public implications and contributes to an understanding of how zoning of an infected area, by an alien biota, into homogenous zones may impact its effective management costs. This approach could also be applied in other countries affected or potentially affected by the phenomenon of Xf invasion.

Suggested Citation

  • Francesco Bozzo & Michel Frem & Vincenzo Fucilli & Gianluigi Cardone & Paolo Francesco Garofoli & Stefania Geronimo & Alessandro Petrontino, 2022. "Landscape and Vegetation Patterns Zoning Is a Methodological Tool for Management Costs Implications Due to Xylella fastidiosa Invasion," Land, MDPI, vol. 11(7), pages 1-19, July.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1105-:d:866458
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/7/1105/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/7/1105/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dietrich, Jan Philipp & Schmitz, Christoph & Müller, Christoph & Fader, Marianela & Lotze-Campen, Hermann & Popp, Alexander, 2012. "Measuring agricultural land-use intensity – A global analysis using a model-assisted approach," Ecological Modelling, Elsevier, vol. 232(C), pages 109-118.
    2. Brunetti, Matteo & Capasso, Vincenzo & Montagna, Matteo & Venturino, Ezio, 2020. "A mathematical model for Xylella fastidiosa epidemics in the Mediterranean regions. Promoting good agronomic practices for their effective control," Ecological Modelling, Elsevier, vol. 432(C).
    3. Kaoutar El Handi & Majida Hafidi & Miloud Sabri & Michel Frem & Maroun El Moujabber & Khaoula Habbadi & Najat Haddad & Abdellatif Benbouazza & Raied Abou Kubaa & El Hassan Achbani, 2022. "Continuous Pest Surveillance and Monitoring Constitute a Tool for Sustainable Agriculture: Case of Xylella fastidiosa in Morocco," Sustainability, MDPI, vol. 14(3), pages 1-7, January.
    4. Francesca Raffini & Giorgio Bertorelle & Roberto Biello & Guido D’Urso & Danilo Russo & Luciano Bosso, 2020. "From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe," Sustainability, MDPI, vol. 12(11), pages 1-38, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michele Antonio Savoia & Valentina Fanelli & Monica Marilena Miazzi & Francesca Taranto & Silvia Procino & Leonardo Susca & Vito Montilon & Oriana Potere & Franco Nigro & Cinzia Montemurro, 2023. "Apulian Autochthonous Olive Germplasm: A Promising Resource to Restore Cultivation in Xylella fastidiosa -Infected Areas," Agriculture, MDPI, vol. 13(9), pages 1-19, September.

    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. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    2. Barbara Kalisz & Krystyna Żuk-Gołaszewska & Wioleta Radawiec & Janusz Gołaszewski, 2023. "Land Use Indicators in the Context of Land Use Efficiency," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    3. Florian Humpenöder & Alexander Popp & Carl-Friedrich Schleussner & Anton Orlov & Michael Gregory Windisch & Inga Menke & Julia Pongratz & Felix Havermann & Wim Thiery & Fei Luo & Patrick v. Jeetze & J, 2022. "Overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Schmitz, Christoph & van Meijl, Hans & Kyle, Page & Fujimori, Shinichiro & Gurgel, Angelo & Havlik, Petr & d'Croz, Daniel Mason & Popp, Alexander & Sands, Ron & Tabeau, Andrzej & van der Mensbrugghe, , 2013. "An agro-economic model comparison of cropland change until 2050," Conference papers 332351, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Gilioli, Gianni & Simonetto, Anna & Colturato, Michele & Bazarra, Noelia & Fernández, José R. & Naso, Maria Grazia & Donato, Boscia & Bosco, Domenico & Dongiovanni, Crescenza & Maiorano, Andrea & Mosb, 2023. "An eco-epidemiological model supporting rational disease management of Xylella fastidiosa. An application to the outbreak in Apulia (Italy)," Ecological Modelling, Elsevier, vol. 476(C).
    6. Lal, P. & Chandel, B.S., 2017. "Total Factor Productivity in Milk Production in Haryana," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 30(2).
    7. Christoph Schmitz & Hans van Meijl & Page Kyle & Gerald C. Nelson & Shinichiro Fujimori & Angelo Gurgel & Petr Havlik & Edwina Heyhoe & Daniel Mason d'Croz & Alexander Popp & Ron Sands & Andrzej Tabea, 2014. "Land-use change trajectories up to 2050: insights from a global agro-economic model comparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 69-84, January.
    8. Antonio J. Mendoza-Fernández & Fabián Martínez-Hernández & Esteban Salmerón-Sánchez & Francisco J. Pérez-García & Blas Teruel & María E. Merlo & Juan F. Mota, 2020. "The Relict Ecosystem of Maytenus senegalensis subsp. europaea in an Agricultural Landscape: Past, Present and Future Scenarios," Land, MDPI, vol. 10(1), pages 1-15, December.
    9. Zhenan Jin & Wentao Yu & Haoxiang Zhao & Xiaoqing Xian & Kaiting Jing & Nianwan Yang & Xinmin Lu & Wanxue Liu, 2022. "Potential Global Distribution of Invasive Alien Species, Anthonomus grandis Boheman, under Current and Future Climate Using Optimal MaxEnt Model," Agriculture, MDPI, vol. 12(11), pages 1-14, October.
    10. Abhijeet Mishra & Florian Humpenöder & Galina Churkina & Christopher P. O. Reyer & Felicitas Beier & Benjamin Leon Bodirsky & Hans Joachim Schellnhuber & Hermann Lotze-Campen & Alexander Popp, 2022. "Land use change and carbon emissions of a transformation to timber cities," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. Jun Sakamoto, 2023. "Proposal of a Disrupted Road Detection Method in a Tsunami Event Using Deep Learning and Spatial Data," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    12. Wang, Xiaoxi & Dietrich, Jan P. & Lotze-Campen, Hermann & Biewald, Anne & Stevanović, Miodrag & Bodirsky, Benjamin L. & Brümmer, Bernhard & Popp, Alexander, 2020. "Beyond land-use intensity: Assessing future global crop productivity growth under different socioeconomic pathways," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    13. Christoph Müller & Richard D. Robertson, 2014. "Projecting future crop productivity for global economic modeling," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 37-50, January.
    14. Ali, Hegagi Mohamed & Ameen, Ismail Gad & Gaber, Yasmeen Ahmed, 2024. "The effect of curative and preventive optimal control measures on a fractional order plant disease model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 220(C), pages 496-515.
    15. Jan Diek van Mansvelt & Paul C. Struik & Arie Bos & Willem Daub & Diederick Sprangers & Mara van den Berg & Marieke Vingerhoets & Kees Zoeteman, 2021. "Changing Ground: Handling Tensions between Production Ethics and Environmental Ethics of Agricultural Soils," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    16. You, Heyuan & Hu, Xiaowei & Wu, Yizhou, 2018. "Farmland use intensity changes in response to rural transition in Zhejiang province, China," Land Use Policy, Elsevier, vol. 79(C), pages 350-361.
    17. Rossini, Luca & Bono Rosselló, Nicolás & Speranza, Stefano & Garone, Emanuele, 2021. "A general ODE-based model to describe the physiological age structure of ectotherms: Description and application to Drosophila suzukii," Ecological Modelling, Elsevier, vol. 456(C).
    18. Kaoutar El Handi & Majida Hafidi & Khaoula Habbadi & Maroun El Moujabber & Mohamed Ouzine & Abdellatif Benbouazza & Miloud Sabri & El Hassan Achbani, 2021. "Assessment of Ionomic, Phenolic and Flavonoid Compounds for a Sustainable Management of Xylella fastidiosa in Morocco," Sustainability, MDPI, vol. 13(14), pages 1-11, July.
    19. C. Emdad Haque & Parnali Dhar-Chowdhury & Shakhawat Hossain & David Walker, 2023. "Spatial Evaluation of Dengue Transmission and Vector Abundance in the City of Dhaka, Bangladesh," Geographies, MDPI, vol. 3(2), pages 1-18, April.
    20. Zhengxin Ji & Hejie Wei & Dong Xue & Mengxue Liu & Enxiang Cai & Weiqiang Chen & Xinwei Feng & Jiwei Li & Jie Lu & Yulong Guo, 2021. "Trade-Off and Projecting Effects of Land Use Change on Ecosystem Services under Different Policies Scenarios: A Case Study in Central China," IJERPH, MDPI, vol. 18(7), pages 1-23, March.

    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:jlands:v:11:y:2022:i:7:p:1105-:d:866458. 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.