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Optimizing Water Footprint, Productivity, and Sustainability in Southern Italian Olive Groves: The Role of Organic Fertilizers and Irrigation Management

Author

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  • Pasquale Garofalo

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Via C. Ulpiani 5, 70125 Bari, Italy)

  • Liliana Gaeta

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Via C. Ulpiani 5, 70125 Bari, Italy)

  • Carolina Vitti

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Via C. Ulpiani 5, 70125 Bari, Italy)

  • Luisa Giglio

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Via C. Ulpiani 5, 70125 Bari, Italy)

  • Rita Leogrande

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Via C. Ulpiani 5, 70125 Bari, Italy)

Abstract

This modeling study evaluates the combined effects of organic fertilization and irrigation regimes on olive productivity and environmental sustainability in southern Italy. Field experiments were conducted in an organic olive grove (cv. Leccino) under Mediterranean conditions, testing four organic fertilization treatments—biochar (BCH), compost (CMP), dried blood (DB), and a commercial organic fertilizer (CTR)—and two irrigation strategies. The CropWat model was employed to simulate additional irrigation scenarios, ranging from full irrigation (Full; 100% ETc) to rainfed conditions. Results showed that biochar-treated olive groves achieved the highest yields (up to 3756 kg ha −1 under full irrigation), outperforming other treatments, with yields of 3191 kg ha −1 (CMP), 2590 kg ha −1 (DB), and 2110 kg ha −1 (CTR). Deficit irrigation strategies, such as ceasing irrigation during the pit-hardening stage (Red_Farm; 1160 m 3 ha −1 ), reduced water use by 67% compared to Full (3600 m 3 ha −1 ) while maintaining satisfactory yields (3070 kg ha −1 vs. 2035 kg ha −1 on average across all fertilization treatments). Water footprint (WFP) analysis revealed that BCH consistently achieved the lowest WFP values (e.g., 1220 m 3 t −1 under Full and 687 m 3 t −1 under rainfed conditions), outperforming CTR (1605 m 3 t −1 ), CMP (1645 m 3 t −1 ), and DB (1846 m 3 t −1 ) under full irrigation and 810 m 3 t −1 , 1219 m 3 t −1 , and 1147 m 3 t −1 with no irrigation water supply. Incremental water productivity (IRincr) and marginal water footprint efficiency (WFP incr ) further demonstrated that BCH optimized both productivity and environmental sustainability, with IRincr values of 0.55 kg m −3 and WFP incr values of 1.58 m 3 kg −1 (averaged for all water regimes), better than CTR (0.40 kg m −3 and 2.14 m 3 kg −1 ), CMP (0.46 kg m −3 and 1.93 m 3 kg −1 ), and DB (0.38 kg m −3 and 2.32 m 3 kg −1 ). An aggregated scoring system, based on standardized and normalized data, ranked BCH under the Red_Farm irrigation strategy as the most effective management approach, achieving the highest overall score compared to the other fertilizer treatments in combination with the different irrigation strategies, thereby balancing high yields with significant water savings.

Suggested Citation

  • Pasquale Garofalo & Liliana Gaeta & Carolina Vitti & Luisa Giglio & Rita Leogrande, 2025. "Optimizing Water Footprint, Productivity, and Sustainability in Southern Italian Olive Groves: The Role of Organic Fertilizers and Irrigation Management," Land, MDPI, vol. 14(2), pages 1-28, February.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:318-:d:1584023
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    References listed on IDEAS

    as
    1. Garofalo, Pasquale & Campi, Pasquale & Vonella, Alessandro Vittorio & Mastrorilli, Marcello, 2018. "Application of multi-metric analysis for the evaluation of energy performance and energy use efficiency of sweet sorghum in the bioethanol supply-chain: A fuzzy-based expert system approach," Applied Energy, Elsevier, vol. 220(C), pages 313-324.
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    3. Luca Rossi & Luca Regni & Sara Rinaldi & Paolo Sdringola & Roberto Calisti & Antonio Brunori & Francesca Dini & Primo Proietti, 2019. "Long-Term Water Footprint Assessment in a Rainfed Olive Tree Grove in the Umbria Region, Italy," Agriculture, MDPI, vol. 10(1), pages 1-11, December.
    4. Garofalo, Pasquale & Mastrorilli, Marcello & Ventrella, Domenico & Vonella, Alessandro Vittorio & Campi, Pasquale, 2020. "Modelling the suitability of energy crops through a fuzzy-based system approach: The case of sugar beet in the bioethanol supply chain," Energy, Elsevier, vol. 196(C).
    5. Perry, Chris, 2014. "Water footprints: Path to enlightenment, or false trail?," Agricultural Water Management, Elsevier, vol. 134(C), pages 119-125.
    6. Imran Ali Lakhiar & Haofang Yan & Chuan Zhang & Guoqing Wang & Bin He & Beibei Hao & Yujing Han & Biyu Wang & Rongxuan Bao & Tabinda Naz Syed & Junaid Nawaz Chauhdary & Md. Rakibuzzaman, 2024. "A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints," Agriculture, MDPI, vol. 14(7), pages 1-40, July.
    7. Teshome, Fitsum T. & Bayabil, Haimanote K. & Schaffer, Bruce & Ampatzidis, Yiannis & Hoogenboom, Gerrit & Singh, Aditya, 2023. "Exploring deficit irrigation as a water conservation strategy: Insights from field experiments and model simulation," Agricultural Water Management, Elsevier, vol. 289(C).
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