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Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru

Hamel Perrine, Blundo Canto Genowefa, Kowal Virginia, Bryant Benjamin P., Hawthorne Peter L., Chaplin-Kramer Rebecca. 2019. Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru. Socio-Environmental Systems Modelling, 1, 14 p.

Journal article ; Article de recherche ; Article de revue à comité de lecture Revue en libre accès total
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Abstract : Integrated watershed management allows decision-makers to balance competing objectives, for example agricultural production and protection of water resources. Here, we developed a spatially-explicit approach to support such management in the Cañete watershed, Peru. We modeled the effect of grazing management on three services – livestock production, erosion control, and baseflow provision – and used an optimization routine to simulate landscapes providing the highest level of services. Over the entire watershed, there was a trade-off between livestock productivity and hydrologic services and we identified locations that minimized this trade-off for a given set of preferences. Given the knowledge gaps in ecohydrology and practical constraints not represented in the optimizer, we assessed the robustness of spatial recommendations, i.e. revealing areas most often selected by the optimizer. We conclude with a discussion of the practical decisions involved in using optimization frameworks to inform watershed management programs, and the research needs to better inform the design of such programs.

Mots-clés Agrovoc : Gestion des eaux, Bassin versant, Intensité de pâturage, production de bétail, Érosion, Modèle de simulation

Mots-clés géographiques Agrovoc : Pérou

Mots-clés libres : Grazing practices, Watershed services program, Optimization, InVEST models

Classification Agris : P10 - Water resources and management
L02 - Animal feeding

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Auteurs et affiliations

  • Hamel Perrine, Stanford University (USA) - auteur correspondant
  • Blundo Canto Genowefa, CIRAD-ES-UMR INNOVATION (FRA) ORCID: 0000-0003-4182-3663
  • Kowal Virginia, Stanford University (USA)
  • Bryant Benjamin P., Stanford University (USA)
  • Hawthorne Peter L., University of Minnesota (USA)
  • Chaplin-Kramer Rebecca, Stanford University (USA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593936/)

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