Co-designed farming scenarios show that vegetation is more effective than drainage regulating water excess in the inner Argentinean Pampas

Study region: La Picasa endorheic basin (6 820 km²), Inner Argentine Pampas, one of South America’s most productive rain-fed plains. Study focus: We evaluated how land-use change, rainfall variability and drainage infrastructure control shallow-groundwater behaviour in ultra-flat landscapes. The Soil Water Balance (SWB) crop model was linked to the iMOD groundwater model through a one-way coupling to simulate daily water-table dynamics (2009–2019) under four stakeholder-defined scenarios: current practice (E0), agricultural intensification (E1), pasture intensification with + 20 % perennial cover (E2) and a six-fold drainage-network expansion (E3). New hydrological insights for the region: Pasture intensification deepened the median water table by ∼0.9 m and halved the area with depths < 1 m, outperforming intensified cropping (–0.3 m) and extensive drainage (negligible basin-wide effect). Drainage channels acted only as local, short-term buffers during extreme floods. Inter-annual rainfall variability remained the dominant driver of groundwater fluctuations, yet adaptive land-use mixes can increase storage ahead of wet periods. Results indicate that nature-based vegetation strategies are more effective and sustainable than additional “grey” infrastructure for regulating water excess in the Inner Pampas and similar dry-plain agro-ecosystems.

Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2025-09-27
DOI
https://doi.org/10.1016/j.ejrh.2025.102811
Primary Topic
Construction Engineering and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Co-designed farming scenarios show that vegetation is more effective than drainage regulating water excess in the inner Argentinean Pampas

Journal of Hydrology Regional Studies
Construction Engineering and Safety
article

Co-designed farming scenarios show that vegetation is more effective than drainage regulating water excess in the inner Argentinean Pampas

article en

Abstract

Study region: La Picasa endorheic basin (6 820 km²), Inner Argentine Pampas, one of South America’s most productive rain-fed plains. Study focus: We evaluated how land-use change, rainfall variability and drainage infrastructure control shallow-groundwater behaviour in ultra-flat landscapes. The Soil Water Balance (SWB) crop model was linked to the iMOD groundwater model through a one-way coupling to simulate daily water-table dynamics (2009–2019) under four stakeholder-defined scenarios: current practice (E0), agricultural intensification (E1), pasture intensification with + 20 % perennial cover (E2) and a six-fold drainage-network expansion (E3). New hydrological insights for the region: Pasture intensification deepened the median water table by ∼0.9 m and halved the area with depths < 1 m, outperforming intensified cropping (–0.3 m) and extensive drainage (negligible basin-wide effect). Drainage channels acted only as local, short-term buffers during extreme floods. Inter-annual rainfall variability remained the dominant driver of groundwater fluctuations, yet adaptive land-use mixes can increase storage ahead of wet periods. Results indicate that nature-based vegetation strategies are more effective and sustainable than additional “grey” infrastructure for regulating water excess in the Inner Pampas and similar dry-plain agro-ecosystems.

Journal of Hydrology Regional StudiesVol. 62
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Construction Engineering and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.