The Experts below are selected from a list of 1116 Experts worldwide ranked by ideXlab platform
Christine Alewell - One of the best experts on this subject based on the ideXlab platform.
-
the new assessment of soil loss by water erosion in europe
Environmental Science & Policy, 2015Co-Authors: Panos Panagos, Pasquale Borrelli, Jean Poesen, Cristiano Ballabio, Emanuele Lugato, Katrin Meusburger, Luca Montanarella, Christine AlewellAbstract:Abstract Soil erosion by water is one of the major threats to soils in the European Union, with a negative impact on ecosystem services, crop production, drinking water and carbon stocks. The European Commission's Soil Thematic Strategy has identified soil erosion as a relevant issue for the European Union, and has proposed an approach to monitor soil erosion. This paper presents the application of a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE2015) to estimate soil loss in Europe for the reference year 2010, within which the input factors (Rainfall erosivity, Soil erodibility, Cover-Management, Topography, Support practices) are modelled with the most recently available pan-European datasets. While RUSLE has been used before in Europe, RUSLE2015 improves the quality of estimation by introducing updated (2010), high-resolution (100 m), peer-reviewed input layers. The mean soil loss rate in the European Union's erosion-prone lands (agricultural, forests and semi-natural areas) was found to be 2.46 t ha−1 yr−1, resulting in a total soil loss of 970 Mt annually. A major benefit of RUSLE2015 is that it can incorporate the effects of policy scenarios based on land-use changes and support practices. The impact of the Good Agricultural and Environmental Condition (GAEC) requirements of the Common Agricultural Policy (CAP) and the EU's guidelines for soil protection can be grouped under land management (reduced/no till, plant residues, cover crops) and support practices (Contour Farming, maintenance of stone walls and grass margins). The policy interventions (GAEC, Soil Thematic Strategy) over the past decade have reduced the soil loss rate by 9.5% on average in Europe, and by 20% for arable lands. Special attention is given to the 4 million ha of croplands which currently have unsustainable soil loss rates of more than 5 t ha−1 yr−1, and to which policy measures should be targeted.
-
modelling the effect of support practices p factor on the reduction of soil erosion by water at european scale
Environmental Science & Policy, 2015Co-Authors: Panos Panagos, Pasquale Borrelli, Jean Poesen, Katrin Meusburger, Emma H Van Der Zanden, Christine AlewellAbstract:The USLE/RUSLE support practice factor (P-factor) is rarely taken into account in soil erosion risk modelling at sub-continental scale, as it is difficult to estimate for large areas. This study attempts to model the P-factor in the European Union. For this, it considers the latest policy developments in the Common Agricultural Policy, and applies the rules set by Member States for Contour Farming over a certain slope. The impact of stone walls and grass margins is also modelled using the more than 226,000 observations from the Land use/cover area frame statistical survey (LUCAS) carried out in 2012 in the European Union. The mean P-factor considering Contour Farming, stone walls and grass margins in the European Union is estimated at 0.9702. The support practices accounted for in the P-factor reduce the risk of soil erosion by 3%, with grass margins having the largest impact (57% of the total erosion risk reduction) followed by stone walls (38%). Contour Farming contributes very little to the P-factor given its limited application; it is only used as a support practice in eight countries and only on very steep slopes. Support practices have the highest impact in Malta, Portugal, Spain, Italy, Greece, Belgium, The Netherlands and United Kingdom where they reduce soil erosion risk by at least 5%. The P-factor modelling tool can potentially be used by policy makers to run soil-erosion risk scenarios for a wider application of Contour Farming in areas with slope gradients less than 10%, maintaining stone walls and increasing the number of grass margins under the forthcoming reform of the Common Agricultural Policy.
Joseph K Sang - One of the best experts on this subject based on the ideXlab platform.
-
effectiveness of Contour Farming and filter strips on ecosystem services
Water, 2018Co-Authors: John Nganga Gathagu, Khaldoon A Mourad, Joseph K SangAbstract:The failing ecosystem services in Thika-Chania catchment is manifested in the deterioration of water quality, sedimentation of reservoirs, and subsequent increase in water treatment costs due to high turbidity. The services can be restored by implementing relevant soil and water conservation practices to enhance flow regulation and control sediment yield. The impacts of Contour Farming and filter strips on water and sediment yield were evaluated using Soil Water and Assessment Tool (SWAT), Texas A&M University, USA. Sediment calibration and validation was achieved using data obtained from a bathymetric survey. Model parameters were adjusted to simulate the conservation impacts of Contour Farming and filter strips. Results indicated the average annual sediment yield as 22 t/ha at the outlet of the catchment and average annual surface runoff of 202 mm. The simulation results showed that filter strips of 5 m width would reduce the average annual sediment yield from the catchment by 54%. The efficacy of filter strips in reducing sediment yield was observed to increase with increasing filter width. Three-meter filter strips and Contour Farming reduced the average annual sediment yield at catchment outlet by 46% and 36%, respectively. It was concluded that the implementation of Contour Farming and filters strips reduced sediments by 63% from the base value. Water yield at the sub-basin level was only influenced by Contour Farming. The total water yield at the catchment outlet experienced no significant change. (Less)
-
effectiveness of Contour Farming and filter strips on ecosystem services
Water, 2018Co-Authors: John Nganga Gathagu, Khaldoon A Mourad, Joseph K SangAbstract:The failing ecosystem services in Thika-Chania catchment is manifested in the deterioration of water quality, sedimentation of reservoirs, and subsequent increase in water treatment costs due to high turbidity. The services can be restored by implementing relevant soil and water conservation practices to enhance flow regulation and control sediment yield. The impacts of Contour Farming and filter strips on water and sediment yield were evaluated using Soil Water and Assessment Tool (SWAT), Texas A&M University, USA. Sediment calibration and validation was achieved using data obtained from a bathymetric survey. Model parameters were adjusted to simulate the conservation impacts of Contour Farming and filter strips. Results indicated the average annual sediment yield as 22 t/ha at the outlet of the catchment and average annual surface runoff of 202 mm. The simulation results showed that filter strips of 5 m width would reduce the average annual sediment yield from the catchment by 54%. The efficacy of filter strips in reducing sediment yield was observed to increase with increasing filter width. Three-meter filter strips and Contour Farming reduced the average annual sediment yield at catchment outlet by 46% and 36%, respectively. It was concluded that the implementation of Contour Farming and filters strips reduced sediments by 63% from the base value. Water yield at the sub-basin level was only influenced by Contour Farming. The total water yield at the catchment outlet experienced no significant change.
Francés F. - One of the best experts on this subject based on the ideXlab platform.
-
Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain)
'Elsevier BV', 2021Co-Authors: Puertes Cristina, Bautista Inmaculada, Lidón Antonio, Francés F.Abstract:[EN] Agriculture is a major source of diffuse pollution, where nitrogen and sediment pollution of water bodies are its main associated environmental impacts. Best management practices are effective tools for preventing and minimizing water pollution. Water quality models and model-based scenario analyses are useful tools for assessing impacts of best management practices and to identify appropriate strategies on the watershed scale. This study was conducted in the southernmost Mar Menor basin, one of the largest saltwater coastal lagoons in Europe and threatened by diffuse nutrient and sediment export from the agricultural landscape. This study evaluates the impact of several management practices on nitrogen and sediment loads, and horticultural crop yield, to identify an appropriate management strategy on the watershed scale. Both structural and nonstructural management practices scenarios were evaluated: three scenarios representing field operations, two coastal line buffers, a new fertilizer management strategy and a change in the productive cultivation system from three-crop rotation to two-crop rotation. Each management practice reduced a certain type of diffuse pollution and, therefore, a combined set of changed management practices is necessary to cope with all agricultural pollution types. Contour Farming, combined with hedgerow field borders, was effective in sediment yield and surface organic nitrogen export reduction terms, while improved fertilizer management reduced surface nitrate export and leaching with minimal impacts on crop yieldsThis work was supported by the Spanish Ministry of Science and Innovation through the research projects: TETISMED (CGL2014-58127-C3-3-R) and TETISCHANGE (RTI2018-093717-B-100), and by the General Directorate of Environment of the Regional Government of Murcia (CARM). Authors acknowledge Faustino Martínez Fernández from CARM for giving them the opportunity to develop this study and his ongoing support.Puertes, C.; Bautista, I.; Lidón, A.; Francés, F. (2021). Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain). Agricultural Systems. 188:1-17. https://doi.org/10.1016/j.agsy.2020.103029S11718
-
Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain)
'Elsevier BV', 2021Co-Authors: Puertes Cristina, Bautista Inmaculada, Lidón Antonio, Francés F.Abstract:[EN] Agriculture is a major source of diffuse pollution, where nitrogen and sediment pollution of water bodies are its main associated environmental impacts. Best management practices are effective tools for preventing and minimizing water pollution. Water quality models and model-based scenario analyses are useful tools for assessing impacts of best management practices and to identify appropriate strategies on the watershed scale. This study was conducted in the southernmost Mar Menor basin, one of the largest saltwater coastal lagoons in Europe and threatened by diffuse nutrient and sediment export from the agricultural landscape. This study evaluates the impact of several management practices on nitrogen and sediment loads, and horticultural crop yield, to identify an appropriate management strategy on the watershed scale. Both structural and nonstructural management practices scenarios were evaluated: three scenarios representing field operations, two coastal line buffers, a new fertilizer management strategy and a change in the productive cultivation system from three-crop rotation to two-crop rotation. Each management practice reduced a certain type of diffuse pollution and, therefore, a combined set of changed management practices is necessary to cope with all agricultural pollution types. Contour Farming, combined with hedgerow field borders, was effective in sediment yield and surface organic nitrogen export reduction terms, while improved fertilizer management reduced surface nitrate export and leaching with minimal impacts on crop yieldsThis work was supported by the Spanish Ministry of Science and Innovation through the research projects: TETISMED (CGL2014-58127-C3-3-R) and TETISCHANGE (RTI2018-093717-B-100), and by the General Directorate of Environment of the Regional Government of Murcia (CARM). Authors acknowledge Faustino Martínez Fernández from CARM for giving them the opportunity to develop this study and his ongoing support.Puertes, C.; Bautista, I.; Lidón, A.; Francés, F. (2021). Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain). Agricultural Systems. 188:1-17. https://doi.org/10.1016/j.agsy.2020.103029S117188Alatorre, L. C., Beguería, S., & García-Ruiz, J. M. (2010). Regional scale modeling of hillslope sediment delivery: A case study in the Barasona Reservoir watershed (Spain) using WATEM/SEDEM. Journal of Hydrology, 391(1-2), 109-123. doi:10.1016/j.jhydrol.2010.07.010Montoro, J. A., Silla, R. O., & Garcia, M. M.-M. (1988). Evaluation and mapping of erosion risks: An example from S.E. Spain. Soil Technology, 1(1), 77-87. doi:10.1016/s0933-3630(88)80007-2Albornoz, F., & Lieth, J. H. (2015). Daily macronutrient uptake patterns in relation to plant age in hydroponic lettuce. Journal of Plant Nutrition, 39(10), 1357-1364. doi:10.1080/01904167.2015.1109110Alcolea, A., Contreras, S., Hunink, J. E., García-Aróstegui, J. L., & Jiménez-Martínez, J. (2019). Hydrogeological modelling for the watershed management of the Mar Menor coastal lagoon (Spain). Science of The Total Environment, 663, 901-914. doi:10.1016/j.scitotenv.2019.01.375Álvarez, X., Valero, E., Santos, R. M. B., Varandas, S. G. P., Sanches Fernandes, L. F., & Pacheco, F. A. L. (2017). Anthropogenic nutrients and eutrophication in multiple land use watersheds: Best management practices and policies for the protection of water resources. Land Use Policy, 69, 1-11. doi:10.1016/j.landusepol.2017.08.028Álvarez-Rogel, J., Jiménez-Cárceles, F. J., & Nicolás, C. E. (2006). Phosphorus and Nitrogen Content in the Water of a Coastal Wetland in the Mar Menor Lagoon (Se Spain): Relationships With Effluents From Urban and Agricultural Areas. Water, Air, and Soil Pollution, 173(1-4), 21-38. doi:10.1007/s11270-005-9020-yArabi, M., Frankenberger, J. R., Engel, B. A., & Arnold, J. G. (2008). Representation of agricultural conservation practices with SWAT. Hydrological Processes, 22(16), 3042-3055. doi:10.1002/hyp.6890Ballabio, C., Panagos, P., & Monatanarella, L. (2016). Mapping topsoil physical properties at European scale using the LUCAS database. Geoderma, 261, 110-123. doi:10.1016/j.geoderma.2015.07.006Boix-Fayos, C., Martínez-Mena, M., Calvo-Cases, A., Castillo, V., & Albaladejo, J. (2005). Concise review of interrill erosion studies in SE Spain (Alicante and Murcia): erosion rates and progress of knowledge from the 1980s. Land Degradation & Development, 16(6), 517-528. doi:10.1002/ldr.706Britto, D. T., & Kronzucker, H. J. (2013). Ecological significance and complexity of N-source preference in plants. Annals of Botany, 112(6), 957-963. doi:10.1093/aob/mct157Bussi, G., Rodríguez-Lloveras, X., Francés, F., Benito, G., Sánchez-Moya, Y., & Sopeña, A. (2013). Sediment yield model implementation based on check dam infill stratigraphy in a semiarid Mediterranean catchment. Hydrology and Earth System Sciences, 17(8), 3339-3354. doi:10.5194/hess-17-3339-2013Bussi, G., Francés, F., Montoya, J. J., & Julien, P. Y. (2014). Distributed sediment yield modelling: Importance of initial sediment conditions. Environmental Modelling & Software, 58, 58-70. doi:10.1016/j.envsoft.2014.04.010Calatrava, J., Barberá, G. G., & Castillo, V. M. (2011). Farming practices and policy measures for agricultural soil conservation in semi-arid Mediterranean areas: The case of the Guadalentín basin in southeast Spain. Land Degradation & Development, 22(1), 58-69. doi:10.1002/ldr.1013Cavero, J., Barros, R., Sellam, F., Topcu, S., Isidoro, D., Hartani, T., … Aragüés, R. (2012). APEX simulation of best irrigation and N management strategies for off-site N pollution control in three Mediterranean irrigated watersheds. Agricultural Water Management, 103, 88-99. doi:10.1016/j.agwat.2011.10.021Chukalla, A. D., Krol, M. S., & Hoekstra, A. Y. (2018). Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy. Hydrology and Earth System Sciences, 22(6), 3245-3259. doi:10.5194/hess-22-3245-2018Clapp, R. B., & Hornberger, G. M. (1978). Empirical equations for some soil hydraulic properties. Water Resources Research, 14(4), 601-604. doi:10.1029/wr014i004p00601Collins, A. L., Naden, P. S., Sear, D. A., Jones, J. I., Foster, I. D. L., & Morrow, K. (2011). Sediment targets for informing river catchment management: international experience and prospects. Hydrological Processes, 25(13), 2112-2129. doi:10.1002/hyp.7965D’Odorico, P., Laio, F., Porporato, A., & Rodriguez-Iturbe, I. (2003). Hydrologic controls on soil carbon and nitrogen cycles. II. A case study. Advances in Water Resources, 26(1), 59-70. doi:10.1016/s0309-1708(02)00095-7De Pascalis, F., Pérez-Ruzafa, A., Gilabert, J., Marcos, C., & Umgiesser, G. (2012). Climate change response of the Mar Menor coastal lagoon (Spain) using a hydrodynamic finite element model. Estuarine, Coastal and Shelf Science, 114, 118-129. doi:10.1016/j.ecss.2011.12.002De Paz, J. ., & Ramos, C. (2004). Simulation of nitrate leaching for different nitrogen fertilization rates in a region of Valencia (Spain) using a GIS–GLEAMS system. Agriculture, Ecosystems & Environment, 103(1), 59-73. doi:10.1016/j.agee.2003.10.006Dechmi, F., & Skhiri, A. (2013). Evaluation of best management practices under intensive irrigation using SWAT model. Agricultural Water Management, 123, 55-64. doi:10.1016/j.agwat.2013.03.016Dutta, B., Grant, B. B., Campbell, C. A., Lemke, R. L., Desjardins, R. L., & Smith, W. N. (2017). A multi model evaluation of long-term effects of crop management and cropping systems on nitrogen dynamics in the Canadian semi-arid prairie. Agricultural Systems, 151, 136-147. doi:10.1016/j.agsy.2016.12.003Francés, F., Vélez, J. I., & Vélez, J. J. (2007). Split-parameter structure for the automatic calibration of distributed hydrological models. Journal of Hydrology, 332(1-2), 226-240. doi:10.1016/j.jhydrol.2006.06.032Gallardo, M., Giménez, C., Martínez-Gaitán, C., Stöckle, C. O., Thompson, R. B., & Granados, M. R. (2011). Evaluation of the VegSyst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration. Agricultural Water Management, 101(1), 107-117. doi:10.1016/j.agwat.2011.09.008Garcia-Ayllon, S. (2018). The Integrated Territorial Investment (ITI) of the Mar Menor as a model for the future in the comprehensive management of enclosed coastal seas. Ocean & Coastal Management, 166, 82-97. doi:10.1016/j.ocecoaman.2018.05.004García-Ayllón, S., & Miralles, J. L. (2014). The environmental impacts of land transformation in the coastal perimeter of the mar menor lagoon (spain). International Journal of Design & Nature and Ecodynamics, 9(2), 109-128. doi:10.2495/dne-v9-n2-109-128García-Gómez, H., Garrido, J. L., Vivanco, M. G., Lassaletta, L., Rábago, I., Àvila, A., … Alonso, R. (2014). Nitrogen deposition in Spain: Modeled patterns and threatened habitats within the Natura 2000 network. Science of The Total Environment, 485-486, 450-460. doi:10.1016/j.scitotenv.2014.03.112García-Pintado, J., Martínez-Mena, M., Barberá, G. G., Albaladejo, J., & Castillo, V. M. (2007). Anthropogenic nutrient sources and loads from a Mediterranean catchment into a coastal lagoon: Mar Menor, Spain. Science of The Total Environment, 373(1), 220-239. doi:10.1016/j.scitotenv.2006.10.046García-Ruiz, J. M., Beguería, S., Nadal-Romero, E., González-Hidalgo, J. C., Lana-Renault, N., & Sanjuán, Y. (2015). A meta-analysis of soil erosion rates across the world. Geomorphology, 239, 160-173. doi:10.1016/j.geomorph.2015.03.008Giménez, C., Stöckle, C. O., Suárez-Rey, E. M., & Gallardo, M. (2016). Crop yields and N losses tradeoffs in a garlic–wheat rotation in southern Spain. European Journal of Agronomy, 73, 160-169. doi:10.1016/j.eja.2015.11.016Giri, S., & Nejadhashemi, A. P. (2014). Application of analytical hierarchy process for effective selection of agricultural best management practices. Journal of Environmental Management, 132, 165-177. doi:10.1016/j.jenvman.2013.10.021Giri, S., Nejadhashemi, A. P., Woznicki, S., & Zhang, Z. (2012). Analysis of best management practice effectiveness and spatiotemporal variability based on different targeting strategies. Hydrological Processes, 28(3), 431-445. doi:10.1002/hyp.9577Haas, M. B., Guse, B., & Fohrer, N. (2017). Assessing the impacts of Best Management Practices on nitrate pollution in an agricultural dominated lowland catchment considering environmental protection versus economic development. Journal of Environmental Management, 196, 347-364. doi:10.1016/j.jenvman.2017.02.060George H. Hargreaves, & Zohrab A. Samani. (1985). Reference Crop Evapotranspiration from Temperature. Applied Engineering in Agriculture, 1(2), 96-99. doi:10.13031/2013.26773Harrison, S., McAree, C., Mulville, W., & Sullivan, T. (2019). The problem of agricultural ‘diffuse’ pollution: Getting to the point. Science of The Total Environment, 677, 700-717. doi:10.1016/j.scitotenv.2019.04.169Hashemi, F., Olesen, J. E., Dalgaard, T., & Børgesen, C. D. (2016). Review of scenario analyses to reduce agricultural nitrogen and phosphorus loading to the aquatic environment. Science of The Total Environment, 573, 608-626. doi:10.1016/j.scitotenv.2016.08.141He, J., Dukes, M. D., Hochmuth, G. J., Jones, J. W., & Graham, W. D. (2012). Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model. Agricultural Water Management, 109, 61-70. doi:10.1016/j.agwat.2012.02.007Herrera, S., Fernández, J., & Gutiérrez, J. M. (2015). Update of the Spain02 gridded observational dataset for EURO-CORDEX evaluation: assessing the effect of the interpolation methodology. International Journal of Climatology, 36(2), 900-908. doi:10.1002/joc.4391Himanshu, S. K., Pandey, A., Yadav, B., & Gupta, A. (2019). Evaluation of best management practices for sediment and nutrient loss control using SWAT model. Soil and Tillage Research, 192, 42-58. doi:10.1016/j.still.2019.04.016Ingram, J. (2008). Agronomist–farmer knowledge encounters: an analysis of knowledge exchange in the context of best management practices in England. Agriculture and Human Values, 25(3), 405-418. doi:10.1007/s10460-008-9134-0Jang, S. S., Ahn, S. R., & Kim, S. J. (2017). Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT. Agricultural Water Management, 180, 224-234. doi:10.1016/j.agwat.2016.06.008Jiménez-Martínez, J., García-Aróstegui, J. L., Hunink, J. E., Contreras, S., Baudron, P., & Candela, L. (2016). The role of groundwater in highly human-modified hydrosystems: a review of impacts and mitigation options in the Campo de Cartagena-Mar Menor coastal plain (SE Spain). Environmental Reviews, 24(4), 377-392. doi:10.1139/er-2015-0089Jung, Y. W., Oh, D.-S., Kim, M., & Park, J.-W. (2009). Calibration of LEACHN model using LH-OAT sensitivity analysis. Nutrient Cycling in Agroecosystems, 87(2), 261-275. doi:10.1007/s10705-009-9337-9Kropp, I., Nejadhashemi, A. P., Deb, K., Abouali, M., Roy, P. C., Adhikari, U., & Hoogenboom, G. (2019). A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification. Agricultural Systems, 173, 289-302. doi:10.1016/j.agsy.2019.03.014La Nauze, A., & Mezzetti, C. (2019). Dynamic incentive regulation of diffuse pollution. Journal of Environmental Economics and Management, 93, 101-124. doi:10.1016/j.jeem.2018.11.009Lam, Q. D., Schmalz, B., & Fohrer, N. (2011). The impact of agricultural Best Management Practices on water quality in a North German lowland catchment. Environmental Monitoring and Assessment, 183(1-4), 351-379. doi:10.1007/s10661-011-1926-9Le Moal, M., Gascuel-Odoux, C., Ménesguen, A., Souchon, Y., Étrillard, C., Levain, A., … Pinay, G. (2019). Eutrophication: A new wine in an old bottle? Science of The Total Environment, 651, 1-11. doi:10.1016/j.scitotenv.2018.09.139León, V. M., Moreno-González, R., García, V., & Campillo, J. A. (2015). Impact of flash flood events on the distribution of organic pollutants in surface sediments from a Mediterranean coastal lagoon (Mar Menor, SE Spain). Environmental Science and Pollution Research, 24(5), 4284-4300. doi:10.1007/s11356-015-4628-yLiu, R., Zhang, P., Wang, X., Chen, Y., & Shen, Z. (2013). Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed. Agricultural Water Management, 117, 9-18. doi:10.1016/j.agwat.2012.10.018López-Ballesteros, A., Senent-Aparicio, J., Srinivasan, R., & Pérez-Sánchez, J. (2019). Assessing the Impact of Best Management Practices in a Highly Anthropogenic and Ungauged Watershed Using the SWAT Model: A Case Study in the El Beal Watershed (Southeast Spain). Agronomy, 9(10), 576. doi:10.3390/agronomy9100576Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., … Verhoest, N. E. C. (2017). GLEAM v3: satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development, 10(5), 1903-1925. doi:10.5194/gmd-10-1903-2017Merchán, D., Casalí, J., Del Valle de Lersundi, J., Campo-Bescós, M. A., Giménez, R., Preciado, B., & Lafarga, A. (2018). Runoff, nutrients, sediment and salt yields in an irrigated watershed in southern Navarre (Spain). Agricultural Water Management, 195, 120-132. doi:10.1016/j.agwat.2017.10.004Miralles, D. G., Holmes, T. R. H., De Jeu, R. A. M., Gash, J. H., Meesters, A. G. C. A., & Dolman, A. J. (2011). Global land-surface evaporation estimated from satellite-based observations. Hydrology and Earth System Sciences, 15(2), 453-469. doi:10.5194/hess-15-453-2011Mtibaa, S., Hotta, N., & Irie, M. (2018). Analysis of the efficacy and cost-effectiveness of best management practices for controlling sediment yield: A case study of the Joumine watershed, Tunisia. Science of The Total Environment, 616-617, 1-16. doi:10.1016/j.scitotenv.2017.10.290Özcan, Z., Başkan, O., Düzgün, H. Ş., Kentel, E., & Alp, E. (2017). A pollution fate and transport model application in a semi-arid region: Is some number better than no number? Science of The Total Environment, 595, 425-440. doi:10.1016/j.scitotenv.2017.03.240Özcan, Z., Kentel, E., & Alp, E. (2017). Evaluation of the best management practices in a semi-arid region with high agricultural activity. Agricultural Water Management, 194, 160-171. doi:10.1016/j.agwat.2017.09.007Panagos, P., Meusburger, K., Ballabio, C., Borrelli, P., & Alewell, C. (2014). Soil erodibility in Europe: A high-resolution dataset based on LUCAS. Science of The Total Environment, 479-480, 189-200. doi:10.1016/j.scitotenv.2014.02.010Panagos, P., Borrelli, P., Meusburger, K., van der Zanden, E. H., Poesen, J., & Alewell, C. (2015). Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environmental Science & Policy, 51, 23-34. doi:10.1016/j.envsci.2015.03.012Pardo, G., del Prado, A., Martínez-Mena, M., Bustamante, M. A., Martín, J. A. R., Álvaro-Fuentes, J., & Moral, R. (2017). Orchard and horticulture systems in Spanish Mediterranean coastal areas: Is there a real possibility to contribute to C sequestration? Agriculture, Ecosystems & Environment, 238, 153-167. doi:10.1016/j.agee.2016.09.034Pärn, J., Pinay, G., & Mander, Ü. (2012). Indicators of nutrients transport from agricultural catchments under temperate climate: A review. Ecological Indicators, 22, 4-15. doi:10.1016/j.ecolind.2011.10.002Pearce, N. J. T., & Yates, A. G. (2017). Intra-annual variation of the association between agricultural best management practices and stream nutrient concentrations. Science of The Total Environment, 586, 1124-1134. doi:10.1016/j.scitotenv.2017.02.102Perni, A., & Martínez-Paz, J. M. (2013). A participatory approach for selecting cost-effective measures in the WFD context: The Mar Menor (SE Spain). Science of The Total Environment, 458-460, 303-311. doi:10.1016/j.scitotenv.2013.04.029Poch-Massegú, R., Jiménez-Martínez, J., Wallis, K. J., Ramírez de Cartagena, F., & Candela, L. (2014). Irrigation return flow and nitrate leaching under different crops and irrigation methods in Western Mediterranean weather conditions. Agricultural Water Management, 134, 1-13. doi:10.1016/j.agwat.2013.11.017Porporato, A., D’Odorico, P., Laio, F., & Rodriguez-Iturbe, I. (2003). Hydrologic controls on soil carbon and nitrogen cycles. I. Modeling scheme. Advances in Water Resources, 26(1), 45-58. doi:10.1016/s0309-1708(02)00094-5Pradhan, P., Fischer, G., van Velthuizen, H., Reusser, D. E., & Kropp, J. P. (2015). Closing Yield Gaps: How Sustainable Can We Be? PLOS ONE, 10(6), e0129487. doi:10.1371/journal.pone.0129487Qiu, J., Shen, Z., Huang, M., & Zhang, X. (2018). Exploring effective best management practices in the Miyun reservoir watershed, China. Ecological Engineering, 123, 30-42. doi:10.1016/j.ecoleng.2018.08.020Quemada, M., Baranski, M., Nobel-de Lange, M. N. J., Vallejo, A., & Cooper, J. M. (2013). Meta-analysis of strategies to control nitrate leaching in irrigated agricultural systems and their effects on crop yield. Agriculture, Ecosystems & Environment, 174, 1-10. doi:10.1016/j.agee.2013.04.018Randall, G. W., & Mulla, D. J. (2001). Nitrate Nitrogen in Surface Waters as Influenced by Climatic Conditions and Agricultural Practices. Journal of Environmental Quality, 30(2), 337-344. doi:10.2134/jeq2001.302337xRankinen, K., Karvonen, T., & Butterfield, D. (2006). An application of the GLUE methodology for estimating the parameters of the INCA-N model. Science of The Total Environment, 365(1-3), 123-139. doi:10.1016/j.scitotenv.2006.02.034Rao, N. S., Easton, Z. M., Schneiderman, E. M., Zion, M. S., Lee, D. R., & Steenhuis, T. S. (2009). Modeling watershed-scale effectiveness of agricultural best management practices to reduce phosphorus loading. Journal of Environmental Management, 90(3), 1385-1395. doi:10.1016/j.jenvman.2008.08.011Rey, J., Martínez, J., Barberá, G. G., García-Aróstegui, J. L., García-Pintado, J., & Martínez-Vicente, D. (2013). Geophysical characterization of the complex dynamics of groundwater and seawater exchange in a highly stressed aquifer system linked to a coastal lagoon (SE Spain). Environmental Earth Sciences, 70(5), 2271-2282. doi:10.1007/s12665-013-2472-2Saxton, K. E., & Rawls, W. J. (2006). Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions. Soil Science Society of America Journal, 70(5), 1569-1578. doi:10.2136/sssaj2005.0117Sith, R., Watanabe, A., Nakamura, T., Yamamoto, T., & Nadaoka, K. (2019). Assessment of water quality and evaluation of best management practices in a small agricultural watershed adjacent to Coral Reef area in Japan. Agricultural Water Management, 213, 659-673. doi:10.1016/j.agwat.2018.11.014Sougnez, N., van Wesemael, B., & Vanacker, V. (2011). Low erosion rates measured for steep, sparsely vegetated catchments in southeast Spain. CATENA, 84(1-2), 1-11. doi:10.1016/j.catena.2010.08.010Strauch, M., Lima, J. E. F. W., Volk, M., Lorz, C., & Makeschin, F. (2013). The impact of Best Management Practices on simulated streamflow and sediment load in a Central Brazilian catchment. Journal of Environmental Management, 127, S24-S36. doi:10.1016/j.jenvman.2013.01.014Suárez-Rey, E. M., Romero-Gámez, M., Giménez, C., Thompson, R. B., & Gallardo, M. (2016). Use of EU-Rotate_N and CropSyst models to predict yield, growth and water and N dynamics of fertigated leafy vegetables in a Mediterranean climate and to determine N fertilizer requirements. Agricultural Systems, 149, 150-164. doi:10.1016/j.agsy.2016.09.007Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002). Agricultural sustainability and inten
Panos Panagos - One of the best experts on this subject based on the ideXlab platform.
-
the new assessment of soil loss by water erosion in europe
Environmental Science & Policy, 2015Co-Authors: Panos Panagos, Pasquale Borrelli, Jean Poesen, Cristiano Ballabio, Emanuele Lugato, Katrin Meusburger, Luca Montanarella, Christine AlewellAbstract:Abstract Soil erosion by water is one of the major threats to soils in the European Union, with a negative impact on ecosystem services, crop production, drinking water and carbon stocks. The European Commission's Soil Thematic Strategy has identified soil erosion as a relevant issue for the European Union, and has proposed an approach to monitor soil erosion. This paper presents the application of a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE2015) to estimate soil loss in Europe for the reference year 2010, within which the input factors (Rainfall erosivity, Soil erodibility, Cover-Management, Topography, Support practices) are modelled with the most recently available pan-European datasets. While RUSLE has been used before in Europe, RUSLE2015 improves the quality of estimation by introducing updated (2010), high-resolution (100 m), peer-reviewed input layers. The mean soil loss rate in the European Union's erosion-prone lands (agricultural, forests and semi-natural areas) was found to be 2.46 t ha−1 yr−1, resulting in a total soil loss of 970 Mt annually. A major benefit of RUSLE2015 is that it can incorporate the effects of policy scenarios based on land-use changes and support practices. The impact of the Good Agricultural and Environmental Condition (GAEC) requirements of the Common Agricultural Policy (CAP) and the EU's guidelines for soil protection can be grouped under land management (reduced/no till, plant residues, cover crops) and support practices (Contour Farming, maintenance of stone walls and grass margins). The policy interventions (GAEC, Soil Thematic Strategy) over the past decade have reduced the soil loss rate by 9.5% on average in Europe, and by 20% for arable lands. Special attention is given to the 4 million ha of croplands which currently have unsustainable soil loss rates of more than 5 t ha−1 yr−1, and to which policy measures should be targeted.
-
modelling the effect of support practices p factor on the reduction of soil erosion by water at european scale
Environmental Science & Policy, 2015Co-Authors: Panos Panagos, Pasquale Borrelli, Jean Poesen, Katrin Meusburger, Emma H Van Der Zanden, Christine AlewellAbstract:The USLE/RUSLE support practice factor (P-factor) is rarely taken into account in soil erosion risk modelling at sub-continental scale, as it is difficult to estimate for large areas. This study attempts to model the P-factor in the European Union. For this, it considers the latest policy developments in the Common Agricultural Policy, and applies the rules set by Member States for Contour Farming over a certain slope. The impact of stone walls and grass margins is also modelled using the more than 226,000 observations from the Land use/cover area frame statistical survey (LUCAS) carried out in 2012 in the European Union. The mean P-factor considering Contour Farming, stone walls and grass margins in the European Union is estimated at 0.9702. The support practices accounted for in the P-factor reduce the risk of soil erosion by 3%, with grass margins having the largest impact (57% of the total erosion risk reduction) followed by stone walls (38%). Contour Farming contributes very little to the P-factor given its limited application; it is only used as a support practice in eight countries and only on very steep slopes. Support practices have the highest impact in Malta, Portugal, Spain, Italy, Greece, Belgium, The Netherlands and United Kingdom where they reduce soil erosion risk by at least 5%. The P-factor modelling tool can potentially be used by policy makers to run soil-erosion risk scenarios for a wider application of Contour Farming in areas with slope gradients less than 10%, maintaining stone walls and increasing the number of grass margins under the forthcoming reform of the Common Agricultural Policy.
John Nganga Gathagu - One of the best experts on this subject based on the ideXlab platform.
-
effectiveness of Contour Farming and filter strips on ecosystem services
Water, 2018Co-Authors: John Nganga Gathagu, Khaldoon A Mourad, Joseph K SangAbstract:The failing ecosystem services in Thika-Chania catchment is manifested in the deterioration of water quality, sedimentation of reservoirs, and subsequent increase in water treatment costs due to high turbidity. The services can be restored by implementing relevant soil and water conservation practices to enhance flow regulation and control sediment yield. The impacts of Contour Farming and filter strips on water and sediment yield were evaluated using Soil Water and Assessment Tool (SWAT), Texas A&M University, USA. Sediment calibration and validation was achieved using data obtained from a bathymetric survey. Model parameters were adjusted to simulate the conservation impacts of Contour Farming and filter strips. Results indicated the average annual sediment yield as 22 t/ha at the outlet of the catchment and average annual surface runoff of 202 mm. The simulation results showed that filter strips of 5 m width would reduce the average annual sediment yield from the catchment by 54%. The efficacy of filter strips in reducing sediment yield was observed to increase with increasing filter width. Three-meter filter strips and Contour Farming reduced the average annual sediment yield at catchment outlet by 46% and 36%, respectively. It was concluded that the implementation of Contour Farming and filters strips reduced sediments by 63% from the base value. Water yield at the sub-basin level was only influenced by Contour Farming. The total water yield at the catchment outlet experienced no significant change. (Less)
-
effectiveness of Contour Farming and filter strips on ecosystem services
Water, 2018Co-Authors: John Nganga Gathagu, Khaldoon A Mourad, Joseph K SangAbstract:The failing ecosystem services in Thika-Chania catchment is manifested in the deterioration of water quality, sedimentation of reservoirs, and subsequent increase in water treatment costs due to high turbidity. The services can be restored by implementing relevant soil and water conservation practices to enhance flow regulation and control sediment yield. The impacts of Contour Farming and filter strips on water and sediment yield were evaluated using Soil Water and Assessment Tool (SWAT), Texas A&M University, USA. Sediment calibration and validation was achieved using data obtained from a bathymetric survey. Model parameters were adjusted to simulate the conservation impacts of Contour Farming and filter strips. Results indicated the average annual sediment yield as 22 t/ha at the outlet of the catchment and average annual surface runoff of 202 mm. The simulation results showed that filter strips of 5 m width would reduce the average annual sediment yield from the catchment by 54%. The efficacy of filter strips in reducing sediment yield was observed to increase with increasing filter width. Three-meter filter strips and Contour Farming reduced the average annual sediment yield at catchment outlet by 46% and 36%, respectively. It was concluded that the implementation of Contour Farming and filters strips reduced sediments by 63% from the base value. Water yield at the sub-basin level was only influenced by Contour Farming. The total water yield at the catchment outlet experienced no significant change.