IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v177y2020ics0308521x19301933.html
   My bibliography  Save this article

Vegetation management intensity and landscape diversity alter plant species richness, functional traits and community composition across European vineyards

Author

Listed:
  • Hall, Rea M.
  • Penke, Nicole
  • Kriechbaum, Monika
  • Kratschmer, Sophie
  • Jung, Vincent
  • Chollet, Simon
  • Guernion, Muriel
  • Nicolai, Annegret
  • Burel, Francoise
  • Fertil, Albin
  • Lora, Ángel
  • Sánchez-Cuesta, Rafael
  • Guzmán, Gema
  • Gómez, Jose
  • Popescu, Daniela
  • Hoble, Adela
  • Bunea, Claudiu-Ioan
  • Zaller, Johann G.
  • Winter, Silvia

Abstract

Land-use intensification at the field and landscape scale is a strong driver for declining biodiversity and ecosystem service provision. Vineyards are characterised by non-productive inter-rows, which could potentially host diverse plant communities. Mulching, tillage or herbicides are used to mitigate the competition between vines and the inter-row vegetation. As plant species with the same set of functional traits will respond similarly to environmental filters like management measures, knowledge about plant trait–environment-relations can be used to predict community and ecosystem processes which are essential for preserving ecosystem services like soil erosion mitigation. We hypothesized that higher vegetation management intensity reduces plant (functional) diversity, changes functional traits and community composition.

Suggested Citation

  • Hall, Rea M. & Penke, Nicole & Kriechbaum, Monika & Kratschmer, Sophie & Jung, Vincent & Chollet, Simon & Guernion, Muriel & Nicolai, Annegret & Burel, Francoise & Fertil, Albin & Lora, Ángel & Sánche, 2020. "Vegetation management intensity and landscape diversity alter plant species richness, functional traits and community composition across European vineyards," Agricultural Systems, Elsevier, vol. 177(C).
  • Handle: RePEc:eee:agisys:v:177:y:2020:i:c:s0308521x19301933
    DOI: 10.1016/j.agsy.2019.102706
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X19301933
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2019.102706?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. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
    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. Felix Dittrich & Thomas Iserloh & Cord-Henrich Treseler & Roman Hüppi & Sophie Ogan & Manuel Seeger & Sören Thiele-Bruhn, 2021. "Crop Diversification in Viticulture with Aromatic Plants: Effects of Intercropping on Grapevine Productivity in a Steep-Slope Vineyard in the Mosel Area, Germany," Agriculture, MDPI, vol. 11(2), pages 1-15, January.
    2. Guzmán, G. & Boumahdi, A. & Gómez, J.A., 2022. "Expansion of olive orchards and their impact on the cultivation and landscape through a case study in the countryside of Cordoba (Spain)," Land Use Policy, Elsevier, vol. 116(C).

    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. Paulus, Anne & Hagemann, Nina & Baaken, Marieke C. & Roilo, Stephanie & Alarcón-Segura, Viviana & Cord, Anna F. & Beckmann, Michael, 2022. "Landscape context and farm characteristics are key to farmers' adoption of agri-environmental schemes," Land Use Policy, Elsevier, vol. 121(C).
    2. Ameztegui, Aitor & Coll, Lluís & Messier, Christian, 2015. "Modelling the effect of climate-induced changes in recruitment and juvenile growth on mixed-forest dynamics: The case of montane–subalpine Pyrenean ecotones," Ecological Modelling, Elsevier, vol. 313(C), pages 84-93.
    3. Grün, Bettina & Kosmidis, Ioannis & Zeileis, Achim, 2012. "Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i11).
    4. Buschle, Julius & Anatolitis, Vasilios & Plötz, Patrick, 2024. "Empirical evidence on discrimination in multi-technology renewable energy auctions in Europe," Energy Policy, Elsevier, vol. 184(C).
    5. Jillian M Rung & Leonard H Epstein, 2020. "Translating episodic future thinking manipulations for clinical use: Development of a clinical control," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    6. Zhang, Dengjun & Xie, Yifan, 2022. "Customer environmental concerns and profit margin: Evidence from manufacturing firms," Journal of Economics and Business, Elsevier, vol. 120(C).
    7. Buntaine, Mark T., 2011. "Does the Asian Development Bank Respond to Past Environmental Performance when Allocating Environmentally Risky Financing?," World Development, Elsevier, vol. 39(3), pages 336-350, March.
    8. Yukako Sado-Inamura & Kensuke Fukushi, 2018. "Considering Water Quality of Urban Rivers from the Perspectives of Unpleasant Odor," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    9. Ann-Jean C C Beck & Jacobien M Kieffer & Valesca P Retèl & Lydia F J van Overveld & Robert P Takes & Michiel W M van den Brekel & Wim H van Harten & Martijn M Stuiver, 2019. "Mapping the EORTC QLQ-C30 and QLQ-H&N35 to the EQ-5D for head and neck cancer: Can disease-specific utilities be obtained?," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    10. Aarón Garavito & Ana María Iregui & María Teresa Ramírez, 2014. "An Empirical Examination of the Determinants of Foreign Direct Investment: A Firm-Level Analysis for the Colombian Economy," Revista de Economía del Rosario, Universidad del Rosario, June.
    11. Li-Chu Chien, 2013. "Multiple deletion diagnostics in beta regression models," Computational Statistics, Springer, vol. 28(4), pages 1639-1661, August.
    12. Zichen Ma & Shannon W. Davis & Yen‐Yi Ho, 2023. "Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments," Biometrics, The International Biometric Society, vol. 79(2), pages 1559-1572, June.
    13. Dengjun Zhang, 2022. "Capacity utilization under credit constraints: A firm‐level study of Latin American manufacturing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1367-1386, January.
    14. Carlos Mendez & John Bachtler, 2017. "Financial Compliance in the European Union: A Cross-National Assessment of Financial Correction Patterns and Causes in Cohesion Policy," Journal of Common Market Studies, Wiley Blackwell, vol. 55(3), pages 569-592, May.
    15. Jodrá, P. & Jiménez-Gamero, M.D., 2016. "A note on the Log-Lindley distribution," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 189-194.
    16. López Prol, Javier & Zilberman, David, 2023. "No alarms and no surprises: Dynamics of renewable energy curtailment in California," Energy Economics, Elsevier, vol. 126(C).
    17. Zamparini, Luca & Vergori, Anna Serena, 2021. "Sustainable mobility at tourist destinations: The relevance of habits and the role of policies," Journal of Transport Geography, Elsevier, vol. 93(C).
    18. Liu, Chenhui & Lu, Chaoru & Wang, Shefang & Sharma, Anuj & Shaw, John, 2019. "A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 456-467.
    19. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
    20. Smith, David M. & Faddy, Malcolm J., 2016. "Mean and Variance Modeling of Under- and Overdispersed Count Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i06).

    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:agisys:v:177:y:2020:i:c:s0308521x19301933. 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.elsevier.com/locate/agsy .

    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.