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Marco Maneta   Dr.  Institute, Department or Faculty Head 
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Marco Maneta published an article in March 2018.
Top co-authors See all
Doerthe Tetzlaff

191 shared publications

IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany

C. Soulsby

125 shared publications

Northern Rivers Institute, School of GeosciencesUniversity of Aberdeen UK

Santiago Beguería

117 shared publications

Estación Experimental de Aula Dei (EEAD-CSIC), Zaragoza, E-50059, Spain

Diego G. Miralles

80 shared publications

Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Gent, Belgium

Fernando Domínguez-Castro

69 shared publications

Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones (IPE-CSIC), Zaragoza, SPAIN

Publication Record
Distribution of Articles published per year 
(2007 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 1 Citation EcH2O-iso 1.0: Water isotopes and age tracking in a process-based, distributed ecohydrological model Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, Chris Sou... Published: 12 March 2018
Geoscientific Model Development Discussions, doi: 10.5194/gmd-2018-25
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We introduce EcH2O-iso, a new development of the physically-based, fully-distributed ecohydrological model EcH2O where the tracking of water isotopic tracers (2H and 18O) and age has been incorporated. EcH2O-iso is evaluated at a montane, low-energy experimental catchment in eastern Scotland using 16 independent isotope time series from various landscape positions and compartments; encompassing soil water, groundwater, stream water, and plant xylem. We find a good model-observation match in most cases, despite having only calibrated the model using hydrometric data and energy fluxes. These results provide further validation of the physical basis of the model for successfully capturing catchment hydrological functioning, both in terms of the celerity in energy propagation (e.g. runoff generation under prevailing hydraulic gradients) and flow velocities of water molecules (e.g., in consistent tracer concentrations at given locations and times). We also show that the spatially-distributed formulation of EcH2O-iso provides a powerful tool for quantitatively linking water stores and fluxes with spatio-temporal patterns of isotopes ratios and water ages. Finally, our study highlights some model development and benchmarking needs, refined using isotope-based calibration, for hypothesis testing and improved simulations of catchment dynamics that is transferable beyond the catchment landscape studied here.
Article 4 Reads 5 Citations What can we learn from multi-data calibration of a process-based ecohydrological model? Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, Chris Sou... Published: 01 March 2018
Environmental Modelling & Software, doi: 10.1016/j.envsoft.2018.01.001
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Article 1 Read 4 Citations Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data Mingzhu He, John S. Kimball, Marco P. Maneta, Bruce D. Maxwe... Published: 28 February 2018
Remote Sensing, doi: 10.3390/rs10030372
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Accurate crop yield assessments using satellite remote sensing-based methods are of interest for regional monitoring and the design of policies that promote agricultural resiliency and food security. However, the application of current vegetation productivity algorithms derived from global satellite observations is generally too coarse to capture cropland heterogeneity. The fusion of data from different sensors can provide enhanced information and overcome many of the limitations of individual sensors. In thitables study, we estimate annual crop yields for seven important crop types across Montana in the continental USA from 2008–2015, including alfalfa, barley, maize, peas, durum wheat, spring wheat and winter wheat. We used a satellite data-driven light use efficiency (LUE) model to estimate gross primary productivity (GPP) over croplands at 30-m spatial resolution and eight-day time steps using a fused NDVI dataset constructed by blending Landsat (5 or 7) and Terra MODIS reflectance data. The fused 30-m NDVI record showed good consistency with the original Landsat and MODIS data, but provides better spatiotemporal delineations of cropland vegetation growth. Crop yields were estimated at 30-m resolution as the product of estimated GPP accumulated over the growing season and a crop-specific harvest index (HIGPP). The resulting GPP estimates capture characteristic cropland productivity patterns and seasonal variations, while the estimated annual crop production results correspond favorably with reported county-level crop production data (r = 0.96, relative RMSE = 37.0%, p < 0.05) from the U.S. Department of Agriculture (USDA). The performance of estimated crop yields at a finer (field) scale was generally lower, but still meaningful (r = 0.42, relative RMSE = 50.8%, p < 0.05). Our methods and results are suitable for operational applications of crop yield monitoring at regional scales, suggesting the potential of using global satellite observations to improve agricultural management, policy decisions and regional/global food security.
CONFERENCE-ARTICLE 17 Reads 0 Citations <strong>Complex spatial and temporal influences of climatic drought time-scales on hydrological droughts in natural basi... Sergio Vicente-Serrano, Marina Peña-Gallardo, Jamie Hannafor... Published: 05 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04835
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We have analysed the response of hydrological droughts to climatic droughts in different natural basins of United States of America. For this purpose we selected 289 complete series from an initial data set of 702 gauging stations, covering the period between 1940 and 2013. Drainage basins were obtained for each gauging station using a digital terrain model, and climate series (precipitation and the atmospheric evaporative demand) were obtained for each drainage series. A number of topographic, edaphic and remote sensing variables were quantified for each basin. A hydrological drought index (The Standardized Stream Flow Index-SSI) was obtained for each basin and the Standardized Precipitation Evapotranspiration Index (SPEI) was used as a metric of climatic drought severity. Relationship between different SPEI time scales and the SSI was quantified using Pearson’s correlations and the general patterns of response of hydrological droughts to climatic droughts were identified using a principal component analysis. In general there is a response of SSI to short SPEI time-scales but strong seasonality in this response is also found. Coherent geographic patterns were obtained from the analysis and the factors that control the different responses were analysed by means of a predictive discriminant analysis. Independent analysis for three periods (1940-1964, 1965-1989 and 1989-2013) were also performed and showed not important changes in the response of the SSI to the SPEI in the past 65 years.

CONFERENCE-ARTICLE 44 Reads 0 Citations <strong>A proposed robust approach for calculating the Standardized Evapotranspiration Deficit Index (SEDI) at the globa... Sergio Vicente-Serrano, Diego Miralles, Fernando Dominguez-C... Published: 05 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04832
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Here we propose a new methodology for calculating the Standardized Evapotranspiration Deficit Index (SEDI) at the global scale using the difference between the actual evapotranspiration (ET) and the atmospheric evaporative demand (AED). ET was estimated by the Global Land Evaporation Amsterdam Model (GLEAM) v3a. The SEDI has been proposed recently to quantify drought severity based on the difference between actual evapotranspiration (ET) and the atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used for calculations, a log-logistic distribution is needed in order to fit the ED time series. As such, in many regions worldwide, the SEDI is insensitive to the AED method used for calculation. The SEDI showed significant correlations with the Standardized Precipitation Evapotranspiration Index (SPEI) across a wide range of regions, particularly for short SPEI time-scales. Overall, while this work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, further studies remain needed to assess the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.

Article 0 Reads 8 Citations Economic impacts of regional water scarcity in the São Francisco River Basin, Brazil: an application of a linked hydro-e... Marcelo De O. Torres, Marco Maneta, Richard Howitt, Stephen ... Published: 08 November 2011
Environment and Development Economics, doi: 10.1017/s1355770x11000362
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