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Freshwater bodies and Rivers
Land degradation

Optimising the Water–Soil–Food–Climate Nexus in Avocado Plantations, Koiliaris River Basin (Crete, Greece)

Location

Chania, Crete, Greece

Status

Project ended

Scale

Pilot site

The Koiliaris River Basin faces soil degradation, flooding risks, and ecosystem pressures. The LENSES pilot combines field-level interventions in avocado orchards with landscape-scale scenario modelling to strengthen the Water–Ecosystem–Food–Climate (WEFC) nexus. On the ground, the pilot focuses on monitoring-driven irrigation optimisation and agroecological soil management in avocado farms, supported by high-resolution hydrological and plant monitoring. In parallel, nature-based solutions such as terracing, riparian forest restoration, and managed livestock grazing are assessed through modelling to explore their potential environmental benefits at the river-basin scale and to inform future decision-making.

The 130 km² Koiliaris Basin (36 km river; Mediterranean climate; karst-fed springs) has experienced severe soil and biodiversity degradation from steep-slope cultivation, high-elevation free grazing, and unsustainable agricultural practices. Torrential events exceed infiltration, driving runoff and flooding; loss of forests and natural vegetation adds pressure. Agriculture dominates livelihoods (notably olives, oranges, grapes), and improving resilience and water management is a priority for food security and ecosystem health.

Highlights

  • Governance/engagement: Learning and Action Alliances (focus group of avocado producers) and participatory workshops; explicit engagement with government authorities on water management.
  • Monitoring and analytics: Continuous (15-minute) hydrologic–plant station with meteorology, soil moisture profilers, irrigation flow, and NDVI/PRI cameras to inform irrigation and detect stress.
  • Irrigation optimisation: Evapotranspiration-based scheduling; circular drip wetting zone (≈1 m radius) irrigating the tree rather than the field; irrigation every 3–4 days based on soil moisture.
  • Assessing the potential deployment of a NbS portfolio : Terraces, riparian forest buffers, discontinuation of high-elevation free grazing, and agroecological soil management (manure, mulching, grass incorporation, no till).
  • Modelling for decisions: Karst-enhanced SWAT to test effect of terraces/riparian forest and livestock scenarios; 1D-ICZ to quantify soil structure, C/N dynamics and biomass; techno-economic and Ecosystem services valuation including cost–benefit analysis for riparian restoration.
  • Energy: Photovoltaics used to power irrigation, reducing operational energy demand.

Timeline

  • 2010: Agroecological practices introduced at field scale.
  • 2011-2014: Tomato field experiment (precursor work).
  • 2016–2023: Avocado plantation monitored and modelled (model calibration period).
  • 2023-2024: Participatory Ecosystem services and NBS framework activities.

About the intervention

The pilot combines on-farm irrigation optimisation with modelling the deployment of a suite of watershed-scale NbS. In avocado orchards, evapotranspiration-guided circular drip and soil-moisture-triggered scheduling reduce water use and plant stress. Agroecological practices (manure additions, mulching, grass incorporation, no till) and retention of organic residues enhance soil structure and carbon storage. Continuous monitoring and coupled models quantify hydrologic, soil, nutrient and biomass responses to guide management and investment choices. At watershed scale, the project models the deployment of terraces and 40 m-wide riparian forest buffers (both riverbanks) where erosion and sediment export are highest, while upland free grazing is discontinued to aid biodiversity recovery and reduce nutrient pressures.

Intervention details

In the Koiliaris River Basin, nature-based solutions were operationalised through a combination of on-farm demonstration measures in an avocado plantation and scenario-based planning for wider catchment interventions, supported by systematic monitoring, modelling and stakeholder engagement.

At field scale, a hydrologic and plant monitoring station was established within an avocado plantation to derive and test optimal irrigation schemes. The set-up included a precipitation and meteorological station, soil-moisture profilers positioned both near to and away from trees, irrigation flow monitoring, and NDVI and PRI cameras to track above-ground biomass and detect plant stress. Data were collected at 15-minute intervals and combined with expert knowledge to refine irrigation scheduling and practices. Irrigation volumes were aligned to the trees’ evapotranspiration requirements, and water delivery was targeted to the root zone by applying drip irrigation in a circular pattern approximately one metre in diameter around each tree rather than across the whole field. Irrigation was applied every 3–4 days based on observed soil-moisture changes. This approach reduced irrigation water use to around 30% of typical areal prescriptions and addressed observed plant stress linked to over-irrigation. To reduce energy demand for irrigation, photovoltaic panels were used to provide sufficient energy for irrigation operations.

Soil-focused agroecological practices were implemented to strengthen soil functions underpinning productivity and resilience. No tillage was practiced to avoid disrupting the formation of water-stable aggregates. Organic matter inputs were increased by cutting grass growing between trees and leaving clippings on site, and by retaining avocado leaves within the plantation. In the experimental avocado field assessed through modelling, additional practices included manure addition, mulching and grass incorporation into the soil, alongside sustainable irrigation practices; these practices had been applied in the field since 2010. The plantation described comprised 25 larger trees and 40 smaller trees irrigated through a drip system with 25 and 15 drippers respectively, and manure was applied at 10 kg per tree each December.

At catchment scale, the project used modelling to evaluate the feasibility and likely impacts of nature-based solutions for priority problem areas, rather than describing their physical construction on the ground. For erosion and water-quality pressures in Area 1 (the Keramianos tributary), two solutions were selected through collaboration between the scientific team and local stakeholders: terracing and riparian forest. In modelling, terracing was represented by adjusting parameters associated with slope practice and morphology at hydrologic response unit level in specific subbasins. Riparian forest was represented as filter strips on both sides of the river, with simulations incorporating assumptions on filter strip dimensions (including an assumed 40 m width on both sides of the channel) and parameterisation of runoff concentration and channelisation. Scenarios were tested for terraces alone, riparian forest alone, and a combined approach.

For biodiversity degradation linked to free-grazing livestock in Area 2, the proposed intervention was to discontinue free grazing at high elevations and transition to organised caged livestock systems at lower elevations, with the intent of reducing pressures in upland areas and enabling gradual biodiversity restoration while facilitating manure recycling for agricultural reuse. In modelling terms, this was represented by removing manure fertilisation operations associated with sheep and goats in the relevant areas.

Implementation planning relied on integrated methods intended to support practical decision-making: participatory system dynamics modelling, water accounting, climate risk assessment, and the development of “NbS bundles”, combined with participatory workshops and focus groups (including avocado producers) and engagement with government authorities on water management. Key constraints to implementing the basin-scale measures were reported as legislative, economic, technical and social barriers, including lengthy multi-institution approval processes, challenges in technical design and permitting capacity, and local stakeholder acceptance where interventions could require reclaiming agricultural land for riparian restoration. Reported drivers to address these barriers included developing a shared vision for agricultural development linked to environmental benefits and establishing a decision-making approach to designing and implementing nature-based solutions.

Key stakeholders

  • Technical University of Crete
  • PRIMA programme supported by the European Union (LENSES project)
  • Region of Crete
  • Avocado producers (focus group) and local farmers
  • Government authorities responsible for water management and permitting
  • Local stakeholders engaged through participatory workshops.

Financial metrics

Funding sources

  • PRIMA programme supported by the European Union (LENSES; GA nº 2041)
  • Region of Crete (design of riparian forest restoration and flood protection)
  • EU FP7-SoilTrEC (earlier field experiment on the same site)

Budget

  • Information not available

Outcomes

Environmental

  • Sediment reduction (modelled): Subbasin 9: riparian forest alone reduced average sediment load by 93%; terraces by 1%; combined by 94% (baseline 0.176 t/ha).
  • Subbasin 15: terraces alone reduced sediment by 95%; riparian forest by 41%; combined by 97% (baseline 5.337 t/ha).
  • Nitrate export (modelled): Discontinuation of upland free grazing reduced average nitrate export from 9.8 to 7.9 kg/ha/year (≈19% reduction).
  • Irrigation water use: Circular drip around trunks used ~30% of typically prescribed irrigation on an areal basis (≈70% reduction).
  • Soil carbon and structure (measured/modelled, 2016–2023): SOC increased from 70.1 to 88.6 tC/ha; majority of water-stable aggregates in macro-aggregates (71.9%).
  • Biomass/carbon fluxes: Annual GPP ~1,474.6 gC/m²; biomass production 14.7 tC/ha/year; C sequestration 80.7 tC/ha; N sequestration 6.2 tN/ha; CO₂ emissions 8.3 tC/ha/year.
  • Leaching to groundwater: TOC 1.3 g/m²; TN 14.6 g/m²; PO₄-P 2.2 g/m²; K 7.1 g/m².
  • Plant stress/temperature: Temperature identified as primary growth limiter; optimal avocado growth 20–25°C (as context for irrigation/stress detection).

Social

  • Information not available.

Economic

  • Riparian forest restoration (modelled Ecosystem services-based Cost-Benefit analysis): NPV €11.36m; B/C 7.67; IRR 40.49%; payback 5 years (20-year horizon; 3.5% discount).

Risks and considerations

  • Legislative and administrative delays due to multi-institution approvals and conflicting objectives.
  • Funding barriers for studies and works, especially under austerity conditions.
  • Technical capacity gaps in both design (e.g., riparian restoration) and permit review can slow progress.
  • Social acceptance challenges where agricultural land must be reclaimed for riparian buffers.
  • Data dependency: Ecosystem services valuation and modelling outcomes are sensitive to data availability; a precautionary approach suggests buffering expected benefits.
  • Model limitations: Standard SWAT cannot simulate karst without modification; karst processes must be explicitly represented.

Lessons learned

  • Build on strong evidence and models to unlock approvals and funding: High-resolution monitoring and calibrated models (including Ecosystem services valuation and Cost-Benefit Analysis) provide the credible basis policymakers need to back NBS over grey alternatives.
  • Target NBS to local pressures, and bundle where gains compound: Terraces and riparian buffers each excel in different subbasins; combining them maximises sediment reduction (up to 97%, modelled results).
  • Engage producers early via participatory processes: Learning and Action Alliances align irrigation optimisation and agroecology with farmer incentives, improving adoption and operational performance.
  • Design for permitting and finance from the outset: Anticipate lengthy, multi-agency approvals and funding gaps; prepare techno-economic analyses and business models to navigate austerity contexts and accelerate implementation.

Sources

For Reference

  1. Lenses Prima European Project, 2025.

Related EU projects

Information not available yet.