IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v126y2014icp38-49.html
   My bibliography  Save this article

Heterogeneity and the trade-off between ecological and productive functions of agro-landscapes: A model of cattle–bird interactions in a grassland agroecosystem

Author

Listed:
  • Sabatier, Rodolphe
  • Doyen, Luc
  • Tichit, Muriel

Abstract

There is empirical evidence that the proportions of different land uses or management regimes and their spatial arrangements can affect the long-term dynamics of bird species in agro-landscapes. The aim of our study was to assess the extent to which biodiversity can be enhanced by altering landscape structure without reducing agricultural production. We focused on a wader bird, the Northern Lapwing (Vanellus vanellus), in grassland landscapes in the Marais Poitevin area (France). For the purposes of our study, we developed a spatially explicit, dynamic model linking grass dynamics in grazed and mowed fields to lapwing population dynamics on a landscape scale. We then computed contrasting landscapes composed of fields with different management regimes that compensated for or complemented each other. The mechanism of compensation corresponded to the case where one management regime is favorable to a species, and the other is less so. The mechanism of complementation corresponded to the case where each of two management regimes is partially favorable to a species. Our results showed that the relative share of different management regimes was the main driver of Northern Lapwing dynamics in landscapes characterized by compensatory management regimes. In landscapes characterized by complementary management regimes, the spatial arrangement of the management regimes was also an important, albeit secondary, driver of bird population dynamics. Managing the spatial arrangement of management regimes is a way to improve the trade-off between ecological and agricultural performances on a landscape scale by improving ecological performances without altering the level of production. Landscape heterogeneity appears to be a promising way to reconcile the agricultural and ecological functions of agriculture, although it raises several issues concerning collective management.

Suggested Citation

  • Sabatier, Rodolphe & Doyen, Luc & Tichit, Muriel, 2014. "Heterogeneity and the trade-off between ecological and productive functions of agro-landscapes: A model of cattle–bird interactions in a grassland agroecosystem," Agricultural Systems, Elsevier, vol. 126(C), pages 38-49.
  • Handle: RePEc:eee:agisys:v:126:y:2014:i:c:p:38-49
    DOI: 10.1016/j.agsy.2013.02.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X13000255
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2013.02.008?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. Mourad Hannachi & François Coléno, 2012. "How to adequately balance between competition and cooperation? A typology of horizontal coopetition," Post-Print hal-01000339, HAL.
    2. Tichit, M. & Doyen, L. & Lemel, J.Y. & Renault, O. & Durant, D., 2007. "A co-viability model of grazing and bird community management in farmland," Ecological Modelling, Elsevier, vol. 206(3), pages 277-293.
    3. Jouven, M. & Baumont, R., 2008. "Simulating grassland utilization in beef suckler systems to investigate the trade-offs between production and floristic diversity," Agricultural Systems, Elsevier, vol. 96(1-3), pages 260-272, March.
    4. Sabatier, R. & Doyen, L. & Tichit, M., 2010. "Modelling trade-offs between livestock grazing and wader conservation in a grassland agroecosystem," Ecological Modelling, Elsevier, vol. 221(9), pages 1292-1300.
    5. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
    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. Hardy, Pierre-Yves & Dray, Anne & Cornioley, Tina & David, Maia & Sabatier, Rodolphe & Kernes, Eric & Souchère, Véronique, 2020. "Public policy design: Assessing the potential of new collective Agri-Environmental Schemes in the Marais Poitevin wetland region using a participatory approach," Land Use Policy, Elsevier, vol. 97(C).
    2. Barral, Stéphanie & Guillet, Fanny, 2023. "Preserving peri-urban land through biodiversity offsets: Between market transactions and planning regulations," Land Use Policy, Elsevier, vol. 127(C).
    3. Villamayor-Tomas, Sergio & Sagebiel, Julian & Olschewski, Roland, 2019. "Bringing the neighbors in: A choice experiment on the influence of coordination and social norms on farmers’ willingness to accept agro-environmental schemes across Europe," Land Use Policy, Elsevier, vol. 84(C), pages 200-215.
    4. Vortkamp, Irina & Barraquand, Frédéric & Hilker, Frank M., 2020. "Ecological Allee effects modulate optimal strategies for conservation in agricultural landscapes," Ecological Modelling, Elsevier, vol. 435(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. Joly, Frédéric & Sabatier, Rodolphe & Tatin, Laurent & Mosnier, Claire & Ahearn, Ariell & Benoit, Marc & Hubert, Bernard & Deffuant, Guillaume, 2022. "Adaptive decision-making on stocking rates improves the resilience of a livestock system exposed to climate shocks," Ecological Modelling, Elsevier, vol. 464(C).
    2. Vortkamp, Irina & Barraquand, Frédéric & Hilker, Frank M., 2020. "Ecological Allee effects modulate optimal strategies for conservation in agricultural landscapes," Ecological Modelling, Elsevier, vol. 435(C).
    3. Sabatier, R. & Mouysset, L., 2018. "A robustness-based viewpoint on the production-ecology trade-off in agroecosystems," Agricultural Systems, Elsevier, vol. 167(C), pages 1-9.
    4. Aïchouche Oubraham & Patrick Saint-Pierre & Georges Zaccour, 2020. "Viability of Agroecological Systems under Climatic Uncertainty," Sustainability, MDPI, vol. 12(15), pages 1-29, July.
    5. Oubraham, Aichouche & Saint-Pierre, Patrick & Zaccour, Georges, 2022. "Viability of a multi-parcel agroecological system," Ecological Modelling, Elsevier, vol. 470(C).
    6. Arii, Ken & Caspersen, John P. & Jones, Trevor A. & Thomas, Sean C., 2008. "A selection harvesting algorithm for use in spatially explicit individual-based forest simulation models," Ecological Modelling, Elsevier, vol. 211(3), pages 251-266.
    7. Jiao Jieying & Hu Guanyu & Yan Jun, 2021. "A Bayesian marked spatial point processes model for basketball shot chart," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 77-90, June.
    8. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    9. Julie Ryschawy & Rodolphe Sabatier & Dominique Vollet, 2016. "Comment sont évalués les systèmes et filières d’élevage. Un focus sur les méthodes et outils. Chapitre 3," Post-Print hal-02799411, HAL.
    10. Leandro, Camila & Jay-Robert, Pierre & Mériguet, Bruno & Houard, Xavier & Renner, Ian W., 2020. "Is my sdm good enough? insights from a citizen science dataset in a point process modeling framework," Ecological Modelling, Elsevier, vol. 438(C).
    11. Thomas, Alban & Lamine, Claire & Allès, Benjamin & Chiffoleau, Yuna & Doré, Antoine & Dubuisson-Quellier, Sophie & Hannachi, Mourad, 2020. "The key roles of economic and social organization and producer and consumer behaviour towards a health-agriculture-food-environment nexus: recent advances and future prospects," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(1), August.
    12. Guangshun Bai & Xuemei Yang & Guangxin Bai & Zhigang Kong & Jieyong Zhu & Shitao Zhang, 2024. "Examining the Controls on the Spatial Distribution of Landslides Triggered by the 2008 Wenchuan Ms 8.0 Earthquake, China, Using Methods of Spatial Point Pattern Analysis," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    13. Yuewei Wang & Cong Lu & Hang Chen & Yuyan Zhao, 2022. "Evaluation and Spatial Characteristics of Cooperation among Tourist Attractions Based on a Geographic Information System: A Case Study of The Yangtze River Delta Region, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    14. Vijay Rajagopal & Gregory Bass & Cameron G Walker & David J Crossman & Amorita Petzer & Anthony Hickey & Ivo Siekmann & Masahiko Hoshijima & Mark H Ellisman & Edmund J Crampin & Christian Soeller, 2015. "Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-31, September.
    15. Christoph Lambio & Tillman Schmitz & Richard Elson & Jeffrey Butler & Alexandra Roth & Silke Feller & Nicolai Savaskan & Tobia Lakes, 2023. "Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln," IJERPH, MDPI, vol. 20(10), pages 1-22, May.
    16. Liao, Jinbao & Li, Zhenqing & Quets, Jan J. & Nijs, Ivan, 2013. "Effects of space partitioning in a plant species diversity model," Ecological Modelling, Elsevier, vol. 251(C), pages 271-278.
    17. Abdollah Jalilian, 2017. "Modelling and classification of species abundance: a case study in the Barro Colorado Island plot," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2401-2409, October.
    18. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods [Cartographie des distributions dans un espace non homogène à l'aide de méthodes basées sur la distance]," Post-Print hal-04345149, HAL.
    19. Herguido Sevillano, E. & Lavado Contador, J.F. & Schnabel, S. & Pulido, M. & Ibáñez, J., 2018. "Using spatial models of temporal tree dynamics to evaluate the implementation of EU afforestation policies in rangelands of SW Spain," Land Use Policy, Elsevier, vol. 78(C), pages 166-175.
    20. Athanasios C. Micheas & Jiaxun Chen, 2018. "sppmix: Poisson point process modeling using normal mixture models," Computational Statistics, Springer, vol. 33(4), pages 1767-1798, December.

    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:126:y:2014:i:c:p:38-49. 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.