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Irrigation-triggered landslides in a Peruvian desert caused by modern intensive farming


Intensification of agriculture leads to stress on the environment and subsequently can have strong societal and ecological impacts. In deserts, areas of very high sensitivity to land-use changes, these local-scale impacts are not well documented. On the arid southwestern coast of Peru, several vast irrigation programmes were developed in the 1950s on the flat detritic plateau surrounding narrow valleys to supply new farming areas. We document the long-term effects of irrigation on the erosion of arid deserts in the Vitor and Siguas valleys, south Peru, using 40 yr of satellite data. We demonstrate that irrigation initiated very large slow-moving landslides, affecting one-third of the valleys. Their kinematics present periods of quiescence and short periods of rapid activity, corresponding to landslide destabilization by their headscarp retrogression. This analysis suggests that the landslide motion continues long after their initiation by irrigations. Those landslides affect the fertile valley floors, leading to the destruction of villages and agricultural areas. We conclude that modern intensive farming can strongly impact traditional agriculture in desert areas where water management is particularly critical.

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Fig. 1: Elevation change between 1978 and 2016 in the Siguas and Vitor valleys in southern Peru.
Fig. 2: Horizontal ground displacement of different landslides over 40 yr (1978–2018).
Fig. 3: Horizontal ground displacement of the Punillo Sur landslide over the 2014–2017 period.

Data availability

The satellite images are available on the earthexplorer ( and Copernicus ( repositories. Landsat-5, Landsat-8 and Sentinel-2 images are available under, and, respectively. Any additional data can be requested by e-mailing the corresponding author.

Code availability

The Ames Stereo Pipeline code for DEM processing is available at The code for processing time series of ground displacement from optical images is available via svn (


  1. Matson, P. A., Parton, W. J., Power, A. G. & Swift, M. J. Agricultural intensification and ecosystem properties. Science 277, 504–509 (1997).

    Google Scholar 

  2. Reganold, J. P., Elliott, L. F. & Unger, Y. L. Long-term effects of organic and conventional farming on soil erosion. Nature 330, 370–372 (1987).

    Google Scholar 

  3. Bakker, M. M. et al. The response of soil erosion and sediment export to land-use change in four areas of Europe: the importance of landscape pattern. Geomorphology 98, 213–226 (2008).

    Google Scholar 

  4. Li, X. G. et al. Changes in soil organic carbon, nutrients and aggregation after conversion of native desert soil into irrigated arable land. Soil Tillage Res. 104, 263–269 (2009).

    Google Scholar 

  5. Jickells, T. et al. Global iron connections between desert dust, ocean biogeochemistry, and climate. Science 308, 67–71 (2005).

    Google Scholar 

  6. Dunai, T. J., López, G. A. G. & Juez-Larré, J. Oligocene–Miocene age of aridity in the Atacama desert revealed by exposure dating of erosion-sensitive landforms. Geology 33, 321–324 (2005).

    Google Scholar 

  7. Der Wateren, F. M. V. & Dunai, T. J. Late Neogene passive margin denudation history—cosmogenic isotope measurements from the central Namib desert. Glob. Planet. Change 30, 271–307 (2001).

    Google Scholar 

  8. Petley, D. Global patterns of loss of life from landslides. Geology 40, 927–930 (2012).

    Google Scholar 

  9. Lacroix, P., Zavala, B., Berthier, E. & Audin, L. Supervised method of landslide inventory using panchromatic SPOT5 images and application to the earthquake-triggered landslides of Pisco (Peru, 2007, Mw8.0). Remote Sens. 5, 2590–2616 (2013).

    Google Scholar 

  10. Carretier, S. et al. Slope and climate variability control of erosion in the Andes of central Chile. Geology 41, 195–198 (2013).

    Google Scholar 

  11. Sepúlveda, S. A., Moreiras, S. M., Lara, M. & Alfaro, A. Debris flows in the Andean ranges of central Chile and Argentina triggered by 2013 summer storms: characteristics and consequences. Landslides 12, 115–133 (2015).

    Google Scholar 

  12. Wilcox, A. C. et al. An integrated analysis of the March 2015 Atacama floods. Geophys. Res. Lett. 43, 8035–8043 (2016).

    Google Scholar 

  13. Hermanns, R. L. et al. Landslides in the Andes and the need to communicate on an interandean level on landslide mapping and research. Rev. Asoc. Geol. Argent 69, 321–327 (2012).

    Google Scholar 

  14. Lacroix, P., Araujo, G., Hollingsworth, J. & Taipe, E. Self entrainment motion of a slow-moving landslide inferred from Landsat-8 time-series. J. Geophys. Res. Earth Surf. 124, 1201–1216 (2019).

    Google Scholar 

  15. Xu, L. et al. Landslides in a loess platform, north-west China. Landslides 11, 993–1005 (2014).

    Google Scholar 

  16. Zhang, D., Wang, G., Luo, C., Chen, J. & Zhou, Y. A rapid loess flowslide triggered by irrigation in China. Landslides 6, 55–60 (2009).

    Google Scholar 

  17. Zhao, C. et al. Small-scale loess landslide monitoring with small baseline subsets interferometric synthetic aperture radar technique—case study of Xingyuan landslide, Shaanxi, China. J. Appl. Remote Sens. 10, 026030 (2016).

    Google Scholar 

  18. Houston, J. Variability of precipitation in the Atacama desert: its causes and hydrological impact. Int. J. Climatol. 26, 2181–2198 (2006).

    Google Scholar 

  19. Hesse, R. & Baade, J. Irrigation agriculture and the sedimentary record in the Palpa valley, southern Peru. Catena 77, 119–129 (2009).

    Google Scholar 

  20. Thouret, J.-C., Gunnell, Y., Jicha, B., Paquette, J.-L. & Braucher, R. Canyon incision chronology based on ignimbrite stratigraphy and cut-and-fill sediment sequences in SW Peru documents intermittent uplift of the western Central Andes. Geomorphology 298, 1–19 (2017).

    Google Scholar 

  21. Leprince, S., Barbot, S., Ayoub, F. & Avouac, J.-P. Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements. IEEE Trans. Geosci. Remote Sens. 45, 1529–1558 (2007).

    Google Scholar 

  22. Bontemps, N., Lacroix, P. & Doin, M. Inversion of deformation fields time-series from optical images, and application to the long term kinematics of slow-moving landslides in Peru. Remote Sens. Environ. 210, 144–145 (2018).

    Google Scholar 

  23. Lacroix, P., Bièvre, G., Pathier, E., Kniess, U. & Jongmans, D. Use of Sentinel-2 images for the detection of precursory motions before landslide failures. Remote Sens. Environ. 215, 507–516 (2018).

    Google Scholar 

  24. Atkinson, B. K. Subcritical crack growth in geological materials. J. Geophys. Res. 89, 4077–4114 (1984).

    Google Scholar 

  25. Bruckl, E. & Parotidis, M. Estimation of large-scale mechanical properties of a large landslide on the basis of seismic results. Int. J. Rock Mech. Min. Sci. 38, 877–883 (2001).

    Google Scholar 

  26. Ballantyne, C. K. Paraglacial geomorphology. Quat. Sci. Rev. 21, 1935–2017 (2002).

    Google Scholar 

  27. ElBedoui, S., Guglielmi, Y., Lebourg, T. & Pérez, J.-L. Deep-seated failure propagation in a fractured rock slope over 10,000 years: the La Clapiere slope, the south-eastern French Alps. Geomorphology 105, 232–238 (2009).

    Google Scholar 

  28. Lacroix, P. & Amitrano, D. Long-term dynamics of rockslides and damage propagation inferred from mechanical modeling. J. Geophys. Res. Earth Surf. 118, 2292–2307 (2013).

    Google Scholar 

  29. Budetta, P. Rockfall-induced impact force causing a debris flow on a volcanoclastic soil slope: a case study in southern Italy. Nat. Hazards Earth Syst. Sci. 10, 1995–2006 (2010).

    Google Scholar 

  30. Booth, A. M. et al. Transient reactivation of a deep-seated landslide by undrained loading captured with repeat airborne and terrestrial lidar. Geophys. Res. Lett. 45, 4841–4850 (2018).

    Google Scholar 

  31. Hutchinson, J. & Bhandari, R. Undrained loading, a fundamental mechanism of mudflows and other mass movements. Geotechnique 21, 353–358 (1971).

    Google Scholar 

  32. Iverson, R. M. & Major, J. J. Rainfall, ground-water flow, and seasonal movement at Minor Creek landslide, northwestern California: physical interpretation of empirical relations. Geol. Soc. Am. Bull. 99, 579–594 (1987).

    Google Scholar 

  33. Sassa, K., Fukuoka, H., Wang, G. & Ishikawa, N. Undrained dynamic-loading ring-shear apparatus and its application to landslide dynamics. Landslides 1, 7–19 (2004).

    Google Scholar 

  34. Araujo, E. Evolucion, Dinamica, Implicancias y Monitoreo del Deslizamiento de Siguas, Arequipa. PhD thesis, Univ. Nacional San Antonio Abad del Cusco (2017).

  35. Müller-Maatsch, J. & Gras, C. in Handbook on Natural Pigments in Food and Beverages (eds Carle, R. & Schweiggert, R.) 385–428 (Woodhead Publishing, 2016).

  36. Surazakov, A. & Aizen, V. Positional accuracy evaluation of declassified Hexagon KH-9 mapping camera imagery. Photogramm. Eng. Remote Sens. 76, 603–608 (2010).

    Google Scholar 

  37. Pieczonka, T., Bolch, T., Junfeng, W. & Shiyin, L. Heterogeneous mass loss of glaciers in the Aksu-Tarim catchment (central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sens. Environ. 130, 233–244 (2013).

    Google Scholar 

  38. Holzer, N. et al. Four decades of glacier variations at Muztagh Ata (eastern Pamir): a multi-sensor study including Hexagon KH-9 and Pléiades data. Cryosphere 9, 2071–2088 (2015).

    Google Scholar 

  39. Maurer, J. & Rupper, S. Tapping into the Hexagon spy imagery database: a new automated pipeline for geomorphic change detection. ISPRS J. Photogramm. Remote Sens. 108, 113–127 (2015).

    Google Scholar 

  40. Shean, D. E. et al. An automated, open-source pipeline for mass production of digital elevation models (dems) from very-high-resolution commercial stereo satellite imagery. ISPRS J. Photogramm. and Remote Sens. 116, 101–117 (2016).

    Google Scholar 

  41. Lacroix, P. Landslides triggered by the Gorkha earthquake in the Langtang valley, volumes and initiation processes. Earth Planets Space 68, 46 (2016).

    Google Scholar 

  42. Nuth, C. & Kääb, A. Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change. Cryosphere 5, 271–290 (2011).

    Google Scholar 

  43. Rosu, A.-M., Pierrot-Deseilligny, M., Delorme, A., Binet, R. & Klinger, Y. Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac. ISPRS J. Photogramm. Remote Sens. 100, 48–59 (2015).

    Google Scholar 

  44. Berthier, E. et al. Surface motion of mountain glaciers derived from satellite optical imagery. Remote Sens. Environ. 95, 14–28 (2005).

    Google Scholar 

  45. Torres, J. & Infante, S. O. Wavelet analysis for the elimination of striping noise in satellite images. Opt. Eng. 40, 1309–1315 (2001).

    Google Scholar 

  46. Leprince, S., Muse, P. & Avouac, J. P. In-flight CCD distortion calibration for pushbroom satellites based on subpixel correlation. IEEE Trans. Geosci. Remote Sens. 46, 2675–2683 (2008).

    Google Scholar 

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We acknowledge a careful reading of the manuscript by J. Palmer and E. Berthier. This work has been supported by a grant from ESA through the Alcantara project ‘Monitoring and Detection of Landslides from optical Images time-Series’ (ESA 15/P26). We also acknowledge the CNES support through the ISIS programme that provided the SPOT6/7 images.

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Authors and Affiliations



P.L. coordinated the study, processed and analysed the image correlation data and the SPOT6/7 DEMs, and wrote the drafts of the manuscript. A.D. processed the KH9 DEM, cross-examined the observations and results, and revised the manuscript. E.T. realized the field measurements and discussed the content of the paper.

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Correspondence to Pascal Lacroix.

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Peer review information Primary Handling Editor(s): Melissa Plail; Heike Langenberg.

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Supplementary Figs. 1–18 and Table 1.

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Lacroix, P., Dehecq, A. & Taipe, E. Irrigation-triggered landslides in a Peruvian desert caused by modern intensive farming. Nat. Geosci. 13, 56–60 (2020).

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