Publications
Peer Reviewed Journals
Gillefalk, K; Tetzlaff, D; Hinkelmann, R; Kuhlemann, L-M; Smith, A; Meier, F; Maneta, M.P.; Soulsby, C. (2021). Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model. Hydrology and Earth Systems Science, 25, 3635–3652. https://doi.org/10.5194/hess-25-3635-2021
Neill, AA; Birkel, C; Maneta, MP; Tetzlaff, D; Soulsby, C (2021) Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling. Hydrology and Earth System Sciences, 25, 4861–4886. https://doi.org/10.5194/hess-25-4861-2021
Smith, A; Tetzlaff, D; Kleine, L; Maneta, MP; Soulsby, C (2021). Upscaling land-use effects on water partitioning and water ages using tracer-aided ecohydrological models. Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2020-539
Brust, C., Kimball, J.S., Maneta, M.P., Jencso, K., He, M., Reichle, R.H., (2021). Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA. Remote Sens. Environ. 255, 112277. https://doi.org/10.1016/j.rse.2020.112277
Wurster, P; Maneta, MP; Kimball, J; Endsley, A; Begueria, S (2021). Monitoring Crop Status in the Continental United States Using the SMAP Level 4 Carbon Product. Frontiers in Big Data: Data-driven Climate Sciences, forthcoming
Lyons, D.S., Dobrowski, S.Z., Holden, Z.A., Maneta, M.P., Sala, A., 2021. Remote Sensing of Environment Soil moisture variation drives canopy water content dynamics across the western U.S. Remote Sensing of the Environment, 253, 112233. https://doi.org/10.1016/j.rse.2020.112233
Madani, N., Parazoo, N.C., Kimball, J.S., Ballantyne, A.P., Reichle, R.H., Maneta, M., Saatchi, S., Palmer, P.I., Liu, Z., Tagesson, T., 2020. Recent Amplified Global Gross Primary Productivity Due to Temperature Increase Is Offset by Reduced Productivity Due to Water Constraints. AGU Adv. 1. https://doi.org/10.1029/2020av000180
Sigler, A; Stephanie A Ewing; Clain A Jones; Robert A Payn; Perry R Miller; Marco P Maneta (2020) Water and nitrate loss from dryland agricultural soils is controlled by management, soils, and weather. Agriculture, Ecosystems, and Environment, 304:107158. https://doi.org/10.1016/j.agee.2020.107158
Maneta, M; Kimball, J; He, M; Silverman, N; Chaffin, B; Maxwell, B; Ewing, S; Ji, X; Cobourn, K (2020). A Satellite-driven Hydro-Economic Model to Support Agricultural Water Resources Management. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2020.104836
Kuppel, S; Tetzlaff, D; Maneta, M.P.; Soulsby, C (2020). Catchment storage control on the transit times of ecohydrological fluxes. Geophysical Research Letters, 10.1029/2020GL088897
Ketchum, D.; Jencso, K.G.; Maneta, M.P.; Melton, F.; Jones, M.; Huntington, J. (2020). IrrMapper: A Machine Learning Approach for High-Resolution Mapping of Irrigated Agriculture Across the Western U.S. Remote Sensing, 12(14):2328, https://doi.org/10.3390/rs12142328
Piovano, T; Tetzlaff, D; Maneta, M.P.; Buttle, J.M.; Carey, S.K.; Laudon, H. McNamara, J.; Soulsby, C (2020). Contrasting storage-flux-age interactions revealed by catchment inter-comparison using a 2 tracer-aided runoff model. Journal of Hydrology, 590, 125226, doi.org/10.1016/j.jhydrol.2020.125226.
Begueria, S and Maneta, M.P (2020). Humans as sensors: qualitative crop condition survey data reveals spatiotemporal production patterns and allows early yield predictions. Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.1917774117
Neill, A.J.; Tetzlaff, D.; Strachan, N.J.; Hough, R.L.; Avery, L.M.; Maneta, M.P.; Soulsby. C. (2020). An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 2: Application to a small agricultural catchment. Journal of Environmental Management,
Neill, A.J.; Tetzlaff, D.; Strachan, N.J.; Hough, R.L.; Avery, L.M.; Kuppel, S.; Maneta, M.P.; Soulsby. C. (2020). An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 1: Background and model description. Journal of Environmental Management,
Smith, A; Tetzlaff, D; Kleine, L; Maneta, M.P.; Soulsby, C. (2020). Isotope-based assessment of ecohydrologic fluxes and water ages under mixed land use in central Europe: the 2018 drought and its recovery, Hydrological Processes, https://doi.org/10.1002/hyp.13838.
Moreno, A, Izquierdo-Verdiguer, E, Maneta, MP, Camps-Valls, G, Robinson, N, Munyon, Mari, J, Sedano, F, Clinton, N, Running, S (2020). Multispectral High-Resolution Sensor Fusion for Smoothing and Gap-filling in the Cloud. Remote Sensing of the Environment, 247(15), 111901, doi.org/10.1016/j.rse.2020.111901.
Gardner, W.P.; Jencso, K.G; Hoylman, Z; Livesay, R; Maneta, M.P. (2020). A numerical investigation of bedrock groundwater recharge and exfiltration on soil mantled hillslopes. Hydrological Processes, doi.org/10.1002/hyp.13799
Wurster, P; Maneta, MP, Begueria, S; Cobourn, K; Maxwell, B; Silverman, N; Ewing, S; Jencso, K; Gardner, P; Kimball, J; Holden, Z; Ji, X; Vicente-Serrano, S (2020). Characterizing the impact of climatic and price anomalies on agrosystems in the northwest United States. Agricultural and Forest Meteorology, 280, 107778. doi.org/10.1016/j.agrformet.2019.107778
Smith, A, Tetzlaff, D., Laudon, H., Maneta, M., and Soulsby, C (2020). Assessing the influence of soil freeze-thaw cycles on catchment water storage – flux – age interactions using a tracer-aided ecohydrological model. Hydrology and Earth System Sciences, 23, 3319–3334. doi.org/10.5194/hess-23-3319-2019
He, Mingzhu; Kimball, John; Yi, Yonghong; Running, Steve; Guan, Kaiyu; Jencso, Kelsey; Maxwell, Bruce; Maneta, Marco (2019). Impacts of the 2017 flash drought in the US Northern Plains informed by satellite-based evapotranspiration and solar-induced fluorescence. Environmental Research Letters, 14(7):74019. doi.org/10.1088/1748-9326/ab22c3
Duinot, A., Tetzlaff, D., Maneta, M. P., Kuppel, S., Schulte-Bisping, H., Soulsby, C. (2019), Ecohydrological modelling with EcH2O-iso to quantify forest and grassland effects on water partitioning and flux ages. Hydrological Processes, 33(16):2174-2191. doi.org/10.1002/hyp.13480
He, M., Kimball, J.; Yi, Y., Running, S., Guan, K., Moreno, A., Wu, X., Maneta, M. P. (2019). Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework. Remote Sensing of the Environment, 230:111201. doi.org/10.1016/j.rse.2019.05.020
Sapes, G., Roskilly, B., Dobrowski, S., Maneta, M.P., Anderegg, W., Martinez-Vilalta, J., Sala, A (2019). Plant water content integrates hydraulics and carbon depletion to predict drought-induced seedling mortality. Tree Physiology, 39(8):1300:1312. doi.org/10.1093/treephys/tpz062
Holden, Z.A., Jolly, W.M., Swanson, A., Warren, D., Jencso, K., Maneta, M. P., Burgard, M.,; Gibson, C., Hoylman, Z.; Landguth, E. (2019). TOPOFIRE: A topographically resolved wildfire danger and drought monitoring system for the conterminous United States. Bulletin of the American Meteorological Society, 100(9):1607-1613. doi.org/10.1175/BAMS-D-18-0178.1
Davis K.T. , Dobrowski S.Z., Higuera, P-H., Holden Z.A., Veblen T.T, Rother, M.T. , Parks S.A., Sala A., Maneta, M. (2019). Wildfires and climate change push low-elevation forests cross a critical climate threshold for tree regeneration. Proceedings of the National Academy of Sciences, 116(13):6193-6198. doi.org/10.1073/pnas.1815107116
Peña-Gallardo, M, Vicente-Serrano, S, Hannaford, J, Lorenzo-Lacruz, J, Svoboda, M, Dominguez-Castro, F, Maneta, M, Tomas-Burguera, M, ElKenawy, A (2018). Complex influences of meteorological drought time-scales on hydrological droughts in natural basins of the contiguous Unites States. Journal of Hydrology, 568: 611-625. doi.org/10.1016/j.jhydrol.2018.11.026
Simeone, C., Maneta, M. P., Holden, Z.A., Sapes, G., Sala, A., Dobrowski, S.Z. (2018). Coupled ecohydrology and plant hydraulics modeling predicts ponderosa pine seedling mortality and lower treeline in the US Northern Rocky Mountains. New Phytologist, 221:1814-1830. https://doi.org/10.1111/nph.15499
Maneta, M P, Soulsby, C, Kuppel, S, Tetzlaff, D (2018). Re-conceptualizing catchment storage dynamics and nonlinearities. Hydrological Processes, 32(21), 3299-3303. doi.org/10.1002/hyp.13262
Holden, Z, Swanson, A, Luce, C, Jolly, M, Maneta, MP, Oyler J, Warren, Dyer, Parsons, R and Affleck, D (2018). Decreasing fire season precipitation increased recent western US forest wildfire activity. Proceedings of the National Academy of Sciences, 115(36):8349-8357 doi.org/10.1073/pnas.1802316115
Woelber, B, Maneta, M.P., Harper, J., Jencso, K., Gardner, W.P., Wilcox, A., Lopez-Moreno, I. (2018). The influence of diurnal snowmelt and transpiration on hilllslope throughflow and stream response. Hydrology and Earth System Sciences, 22, 4295-4310, doi.org/10.5194/hess-2018-166.
Kuppel, S., Tetzlaff, D., Maneta, M.P., Soulsby, C. (2018). EcH2O-iso 1.0: Water isotopes and age tracking in a process-based, distributed ecohydrological model. Geoscientific Model Development, 11, 3045–3069, doi.org/10.5194/gmd-2018-25
, (2018): Global assessment of the Standardized Evapotranspiration Deficit Index (SEDI) for drought analysis and monitoring. J. Climate, 31(14):5371–5393. doi.org/10.1175/JCLI-D-17-0775.1
Tomas-Burguera, M., Beguería, S., Vicente-Serrano, S., Maneta, M. P. (2018). Optimal Interpolation scheme to generate reference crop evapotranspiration. Journal of Hydrology, 560, 202:219; doi:10.1016/j.jhydrol.2018.03.025
He, M., Kimball, J.S., Maneta, M. P., Maxwell, B., Moreno, A., Begueria, S., Wu, X. (2018). Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data. Remote Sens., 10(3), 372; doi:10.3390/rs10030372
Kuppel, S, Tetzlaff, D, Maneta, M, Soulsby, C. (2018). What can we learn from multi-data calibration of a process-based ecohydrological model? Environmental Modelling and Software, 101, 301:316
Hursh, A, Ballantyne, A, Cooper, L, Maneta, M, Kimball, J, and Watts, J (2016). The sensitivity of soil respiration to soil temperature, moisture, and carbon supply at the global scale. Global Change Biology, DOI: 10.1111/gcb.13489
VanWormer, E, Carpenter, T , Singh, R, Shapiro, K, Wallender, W, Conrad, P, Largier, J, Maneta, M, Mazet, J (2016). Coastal development and precipitation drive pathogen flow from land to sea: evidence from a Toxoplasma gondii and felid host system. Scientific Reports, 6
Silverman, N and Maneta, M (2016). Detectability of change in winter precipitation within mountain landscapes: Spatial patterns and uncertainty. Water Resources Research, 52(6):4301-4320. <doi:10.1002/2014WR016493>
S Begueria, SM Vicente-Serrano, M Toms-Burguera, M Maneta (2016). Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability, International Journal of Climatology, 36(9):3413-3422.
Maneta, M and Howitt, R (2014). Stochastic calibration and data assimilation in non-stationary hydro-economic models. Water Resources Research, 50, 3976–3993, <doi:10.1002/2013WR015196>
Lozano-Parra, FJ, Maneta, M, Schnabel, S (2014). Response of pasture production to climate variability in a semiarid Mediterranean watershed with scattered tree cover. Hydrology and Earth System Sciences, 18, 1439-1456
Seligman, Z, Harper, J, Maneta, M, (2014). Changes to snowpack energy state from spring storm events, Columbia River headwaters, Montana. J of Hydrometeorology <doi:10.1175/JHM-D-12-078.1>
Maneta, M and Silverman, N (2013). A spatially-distributed model to simulate water, energy and vegetation dynamics using information from regional climate models. Earth Interactions, 17, 1-44
Silverman, N, Maneta, M, Chen, S-H, Harper, J (2013). Dynamically downscaled winter precipitation over complex terrain of the central Rockies of western Montana, USA. Water Resources Research, 49, 1-13, <doi:10.1029/2012WR012874>
Maneta, M and Wallender, W, (2013). Pilot-point based multi-objective calibration in a surface-subsurface distributed hydrologic model. Hydrological Sciences Journal, 58(2), 1-18
Torres, M, Maneta, M, Howitt, R, Vosti, S, Wallender, W (2011). Economic impacts of regional water scarcity in the Sao Francisco River Basin (Brazil): An application of a linked hydro-economic model. Environment and Development Ecomomics, 17(2), 227-258.
Torres, M. Vosti, S. Maneta, M, Wallender, W, Rodrigues, L, Bassoi, L, Young, J (2011). Spatial patterns of rural poverty: an exploratory analysis in the Sao Francisco River Basin, Brazil. Nova Economia, 21(1): 45-66
Singh, P, Wallender, W, Maneta, M, Lee, S, Olsen, B (2010). Sustainable root zone salinity and shallow water table in the context of land retirement. Journal of Irrigation and Drainage Engineering, 136(5):289-299
Maneta, M, Wallender, W, Torres, M, Howitt, R Vosti, S, Panday, S (2009). A linked hydro-economic model to assess the effect of droughts on land use, farm profits and agricultural employment. Water Resources Research, 45, W11412, <doi:10.1029/2008WR007534>
Maneta, M, Wallender, W, Torres, M, Vosti, S, Kirby, M, Bassoi, L, Rodrigues, L (2009). Water demand and flows in the Sao Francisco River Basin (Brazil) with increased irrigation. Agricultural Water Management, 96(8): 1191-1200.
Maneta, M, Torres, M, Vosti, S, Wallender, W, Allen, S, Bassoi, L, Bennett, L, Howitt, R, Rodrigues, L, Young, J (2009). Assessing agriculture-water links at basin scale: A hydro-economic model of the São Francisco River basin, Brazil. Water International, 34(1): 88-103.
Maneta, M, Singh, P, Torres, M, Wallender, W, Vosti, S, Rodrigues, L, Bassoi, L, Young, J (2009). Parsimonious Crop Water Productivity Index under Unforced Conditions for Large Basins. Area, 41(1): 94-106.
Maneta, M., Schnabel, S., Wallender, W., Panday, S. and Jetten, V (2008). Calibration of an evapotranspiration model to simulate soil water dynamics in a semiarid rangeland. Hydrological Processes, 22(24): 4655-4669.
Maneta, M, Schnabel, S, Jetten, V (2008). Continuous spatially distributed simulation of surface and subsurface hydrological processes in a small semiarid catchment. Hydrological Processes, 22(13): 2196-214.
Maneta, M., Pasternack, G.B., Wallender, W.W., Jetten, V. and Schnabel, S., (2007). Temporal instability of parameters in an event-based distributed hydrologic model applied to a small semiarid catchment. Journal of Hydrology, 341(3-4): 207-221.
Lavado, F, Maneta, M and Schnabel, S (2006). Prediction of near-surface soil moisture at large scale by digital terrain modeling and neural networks. Environmental Monitoring and Assessment, 121(1-3): 211-230.
Peer Reviewed Book Chapters
Jetten, V G and Maneta, M P (2010). Calibration of Erosion Models. In: Morgan, R and Nearing, M (eds), Handbook of Erosion Modelling. Willy-Blackwell, pp. 33-51.
Schnabel, S. and Maneta, M., (2005). Modelling suspended sediment time-series produced by runoff peaks in small semiarid catchments: A neural network approach. In: R. Batalla (Editor), River/Catchment Dynamics. IAHS Red Books, Solsona, pp. 91-100.
Maneta, M. and Schnabel, S., (2003) “Aplicación de redes neuronales artificiales para determinar la distribución espacial de la humedad del suelo en una pequeña cuenca de drenaje. Estudios preliminares”. En: J. Álvarez-Benedí y P. Marinero (Editores), VI Jornadas sobre Investigación en la Zona no Saturada del Suelo. ITA, Valladolid, pp. 296-304.