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The European Water Framework Directive demands to assess and report the chemical and ecological status of water bodies (WB). Linking their status to drivers and pressures and deriving suitable mitigation measures require knowledge of the shape and area of WB catchments. We derived a network of 26 570 WB catchments in Germany using the hydrologically-defined drainage basins of the German federal states. We established a network of 338 149 drainage basins. This network underwent plausibility checks and a validation with the catchment areas of 348 monitoring stations across Germany. To this network, we assigned the longest intersecting or the next downstream WB code. To account for geometric inaccuracies we revised spurious intersections resulting in splittings and cycles in the WB network. As WB may be ecologically but not hydrologically well defined, we split them at confluences and intersections. The network of drainage basins matched the monitoring stations with a Nash-Sutcliffe efficiency of 1.00. The final WB network contained 11 005 out of the 11 586 original WBs longer than 1 m. The corresponding local catchment areas range from <<0.0001 to 446 km2, with a median of 10 km2. The dataset combines the requirements of hydrological and ecological modelling applications at basin or national scales with the needs of the EU reporting which can foster their acceptance by state authorities and river-basin management.
Andreas Gericke; Judith Mahnkopf; Markus Venohr. Catchments of German surface water bodies. Hydrological Processes 2021, 35, e14272 .
AMA StyleAndreas Gericke, Judith Mahnkopf, Markus Venohr. Catchments of German surface water bodies. Hydrological Processes. 2021; 35 (7):e14272.
Chicago/Turabian StyleAndreas Gericke; Judith Mahnkopf; Markus Venohr. 2021. "Catchments of German surface water bodies." Hydrological Processes 35, no. 7: e14272.
Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper.
Nejc Bezak; Matjaž Mikoš; Pasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Maerker; Chiyuan Miao; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. Soil erosion modelling: A bibliometric analysis. Environmental Research 2021, 197, 111087 .
AMA StyleNejc Bezak, Matjaž Mikoš, Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Marcella Biddoccu, Artemi Cerdà, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh Kiani-Harchegani, Ivan Lizaga Villuendas, Changjia Li, Luigi Lombardo, Manuel López-Vicente, Manuel Esteban Lucas-Borja, Michael Maerker, Chiyuan Miao, Sirio Modugno, Markus Möller, Victoria Naipal, Mark Nearing, Stephen Owusu, Dinesh Panday, Edouard Patault, Cristian Valeriu Patriche, Laura Poggio, Raquel Portes, Laura Quijano, Mohammad Reza Rahdari, Mohammed Renima, Giovanni Francesco Ricci, Jesús Rodrigo-Comino, Sergio Saia, Aliakbar Nazari Samani, Calogero Schillaci, Vasileios Syrris, Hyuck Soo Kim, Diogo Noses Spinola, Paulo Tarso Oliveira, Hongfen Teng, Resham Thapa, Konstantinos Vantas, Diana Vieira, Jae E. Yang, Shuiqing Yin, Demetrio Antonio Zema, Guangju Zhao, Panos Panagos. Soil erosion modelling: A bibliometric analysis. Environmental Research. 2021; 197 ():111087.
Chicago/Turabian StyleNejc Bezak; Matjaž Mikoš; Pasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Maerker; Chiyuan Miao; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. 2021. "Soil erosion modelling: A bibliometric analysis." Environmental Research 197, no. : 111087.
Climate change is expected to affect the occurrence of heavy rainfall. We analyzed trends of heavy rainfall days for the last decades in Germany. For all available stations with daily data, days exceeding daily thresholds (10, 20, 30 mm) were counted annually. The Mann–Kendall trend test was applied to overlapping periods of 30 years (1951–2019). This period was extended to 1901 for 111 stations. The stations were aggregated by natural regions to assess regional patterns. Impacts of data inconsistencies on the calculated trends were evaluated with the metadata and recent hourly data. Although the trend variability depended on the chosen exceedance threshold, a general long-term trend for the whole of Germany was consistently not evident. After 1951, stable positive trends occurred in the mountainous south and partly in the northern coastal region, while parts of Central Germany experienced negative trends. The frequent location shifts and the recent change in the time interval for daily rainfall could affect individual trends but were statistically insignificant for regional analyses. A case study supported that heavy rains became more erosive during the last 20 years. The results showed the merit of historical data for a better understanding of recent changes in heavy rainfall.
Detlef Deumlich; Andreas Gericke. Frequency Trend Analysis of Heavy Rainfall Days for Germany. Water 2020, 12, 1950 .
AMA StyleDetlef Deumlich, Andreas Gericke. Frequency Trend Analysis of Heavy Rainfall Days for Germany. Water. 2020; 12 (7):1950.
Chicago/Turabian StyleDetlef Deumlich; Andreas Gericke. 2020. "Frequency Trend Analysis of Heavy Rainfall Days for Germany." Water 12, no. 7: 1950.
Bayesian networks (BN) have increasingly been applied in water management but not to estimate the efficacy of riparian buffer zones (RBZ). Our methodical study aims at evaluating the first BN to predict the RBZ efficacy to retain sediment and nutrients (dissolved, total, and particulate nitrogen and phosphorus) from widely available variables (width, vegetation, slope, soil texture, flow pathway, nutrient form). To evaluate the influence of parent nodes and how the number of states affects prediction errors, we used a predefined general BN structure, collected 580 published datasets from North America and Europe, and performed classification tree analyses and multiple 10-fold cross-validations of different BNs. These errors ranged from 0.31 (two output states) to 0.66 (five states). The outcome remained unchanged without the least influential nodes (flow pathway, vegetation). Lower errors were achieved when parent nodes had more than two states. The number of efficacy states influenced most strongly the prediction error as its lowest and highest states were better predicted than intermediate states. While the derived BNs could support or replace simple design guidelines, they are limited for more detailed predictions. More representative data on vegetation or additional nodes like preferential flow will probably improve the predictive power.
Andreas Gericke; Hong Hanh Nguyen; Peter Fischer; Jochem Kail; Markus Venohr. Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones. Water 2020, 12, 617 .
AMA StyleAndreas Gericke, Hong Hanh Nguyen, Peter Fischer, Jochem Kail, Markus Venohr. Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones. Water. 2020; 12 (3):617.
Chicago/Turabian StyleAndreas Gericke; Hong Hanh Nguyen; Peter Fischer; Jochem Kail; Markus Venohr. 2020. "Deriving a Bayesian Network to Assess the Retention Efficacy of Riparian Buffer Zones." Water 12, no. 3: 617.
The universal soil loss equation (USLE) is widely used to identify areas of erosion risk at regional scales. In Brandenburg, USLE R factors are usually estimated from summer rainfall, based on a relationship from the 1990s. We compared estimated and calculated factors of 22 stations with 10-minutes rainfall data. To obtain more realistic estimations, we regressed the latter to three rainfall indices (total and heavy-rainfall sums). These models were applied to estimate future R factors of 188 climate stations. To assess uncertainties, we derived eight scenarios from 15 climate models and two representative concentration pathways (RCP), and compared the effects of index choice to the choices of climate model, RCP, and bias correction. The existing regression model underestimated the calculated R factors by 40%. Moreover, using heavy-rainfall sums instead of total sums explained the variability of current R factors better, increased their future changes, and reduced the model uncertainty. The impact of index choice on future R factors was similar to the other choices. Despite all uncertainties, the results indicate that average R factors will remain above past values. Instead, the extent of arable land experiencing excessive soil loss might double until the mid-century with RCP 8.5 and unchanged land management.
Andreas Gericke; Jens Kiesel; Detlef Deumlich; Markus Venohr. Recent and Future Changes in Rainfall Erosivity and Implications for the Soil Erosion Risk in Brandenburg, NE Germany. Water 2019, 11, 904 .
AMA StyleAndreas Gericke, Jens Kiesel, Detlef Deumlich, Markus Venohr. Recent and Future Changes in Rainfall Erosivity and Implications for the Soil Erosion Risk in Brandenburg, NE Germany. Water. 2019; 11 (5):904.
Chicago/Turabian StyleAndreas Gericke; Jens Kiesel; Detlef Deumlich; Markus Venohr. 2019. "Recent and Future Changes in Rainfall Erosivity and Implications for the Soil Erosion Risk in Brandenburg, NE Germany." Water 11, no. 5: 904.
Freshwater species are adapted to and depend on various discharge conditions, such as 32 indicators of hydrologic alteration (IHA). Knowing how these indicators will be altered under climate change is essential for predicting species response and to develop mitigation concepts. The simulation of IHA under climate change is subject to considerable uncertainties which should be considered to obtain credible and robust predictions. Therefore, we investigated the major uncertainties inherent in climate change data and processing: general circulation model (GCM) and regional climate model (RCM) choice, representative concentration pathway (RCP) scenario, bias correction (BC) method, all within three mesoscale catchments in the European ecoregions: Central Plains, Central Highlands, and Alpine. Highest uncertainties were caused by the GCM and RCM choice, followed by the type of BC and the RCP. For the prediction, we reduced these uncertainties tailored to the ideal depiction of the IHA in each ecoregion. Together with a significance test, this enabled a robust depiction of the change in IHA for two future time periods. We found diverging changes within the ecoregions, caused by the complex interaction between precipitation, temperature and the governing catchment hydrological processes. The results provide an important basis for further impact research, especially for ecological freshwater studies.
Jens Kiesel; Andreas Gericke; Hendrik Rathjens; Annett Wetzig; Karan Kakouei; Sonja C. Jähnig; Nicola Fohrer. Climate change impacts on ecologically relevant hydrological indicators in three catchments in three European ecoregions. Ecological Engineering 2018, 127, 404 -416.
AMA StyleJens Kiesel, Andreas Gericke, Hendrik Rathjens, Annett Wetzig, Karan Kakouei, Sonja C. Jähnig, Nicola Fohrer. Climate change impacts on ecologically relevant hydrological indicators in three catchments in three European ecoregions. Ecological Engineering. 2018; 127 ():404-416.
Chicago/Turabian StyleJens Kiesel; Andreas Gericke; Hendrik Rathjens; Annett Wetzig; Karan Kakouei; Sonja C. Jähnig; Nicola Fohrer. 2018. "Climate change impacts on ecologically relevant hydrological indicators in three catchments in three European ecoregions." Ecological Engineering 127, no. : 404-416.
Andreas Gericke. Metadata of a soil loss map to assess sediment delivery ratios of European river catchments. Freshwater Metadata Journal 2017, 1 -6.
AMA StyleAndreas Gericke. Metadata of a soil loss map to assess sediment delivery ratios of European river catchments. Freshwater Metadata Journal. 2017; ():1-6.
Chicago/Turabian StyleAndreas Gericke. 2017. "Metadata of a soil loss map to assess sediment delivery ratios of European river catchments." Freshwater Metadata Journal , no. : 1-6.
Sediment delivery ratios (SDRs) link soil loss to sediment yields (SYs) of river catchments. At large scales, SDR models rely on simple catchment properties. To assess their sensitivity and uncertainty in European regions, I compiled a sediment database and derived 16 soil loss maps varying the approximation of the factors of the universal soil loss equation (USLE). Additionally to parameterizing the USLE, the sensitivity analysis comprised the choice of the soil loss and SDR models. The USLE maps were compared to a Pan-European Soil Erosion Risk Assessment (PESERA) map and two empirical SDR models were applied for explaining the variability of SDR and SY. Most relevant for the model efficiency was the choice of the soil loss model. Unlike the PESERA map, the USLE with the four-parameter SDR model allowed satisfactory results in all regions. Fewer parameters for estimating SDR were less appropriate. Among the USLE factors, the choice of the K factor was most important. The overall model sensitivity to choosing the USLE map and the SDR model was similar. Based on the sensitivity analysis, a most suitable USLE map for predicting SY of European river catchments is proposed. The uncertainty in USLE estimates resulted in an uncertainty of modelled SY varying from 30% to 60% in different regions. No model realization grasped the variability of SDR and SY, so only regional SDR models were feasible. The model application and evaluation were hampered by unrepresentative sediment data and the inherent limitations of the modelling framework.
Andreas Gericke. Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments. International Journal of River Basin Management 2015, 13, 179 -202.
AMA StyleAndreas Gericke. Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments. International Journal of River Basin Management. 2015; 13 (2):179-202.
Chicago/Turabian StyleAndreas Gericke. 2015. "Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments." International Journal of River Basin Management 13, no. 2: 179-202.
There is a wide variety of flood damage models in use internationally, differing substantially in their approaches and economic estimates. Since these models are being used more and more as a basis for investment and planning decisions on an increasingly large scale, there is a need to reduce the uncertainties involved and develop a harmonised European approach, in particular with respect to the EU Flood Risks Directive. In this paper we present a qualitative and quantitative assessment of seven flood damage models, using two case studies of past flood events in Germany and the United Kingdom. The qualitative analysis shows that modelling approaches vary strongly, and that current methodologies for estimating infrastructural damage are not as well developed as methodologies for the estimation of damage to buildings. The quantitative results show that the model outcomes are very sensitive to uncertainty in both vulnerability (i.e. depth–damage functions) and exposure (i.e. asset values), whereby the first has a larger effect than the latter. We conclude that care needs to be taken when using aggregated land use data for flood risk assessment, and that it is essential to adjust asset values to the regional economic situation and property characteristics. We call for the development of a flexible but consistent European framework that applies best practice from existing models while providing room for including necessary regional adjustments.
B. Jongman; Heidi Kreibich; Heiko Apel; J. I. Barredo; Paul D Bates; Luc Feyen; Andreas Gericke; Jeffrey C Neal; J. C. J. H. Aerts; P. J. Ward. Comparative flood damage model assessment: towards a European approach. Natural Hazards and Earth System Sciences 2012, 12, 3733 -3752.
AMA StyleB. Jongman, Heidi Kreibich, Heiko Apel, J. I. Barredo, Paul D Bates, Luc Feyen, Andreas Gericke, Jeffrey C Neal, J. C. J. H. Aerts, P. J. Ward. Comparative flood damage model assessment: towards a European approach. Natural Hazards and Earth System Sciences. 2012; 12 (12):3733-3752.
Chicago/Turabian StyleB. Jongman; Heidi Kreibich; Heiko Apel; J. I. Barredo; Paul D Bates; Luc Feyen; Andreas Gericke; Jeffrey C Neal; J. C. J. H. Aerts; P. J. Ward. 2012. "Comparative flood damage model assessment: towards a European approach." Natural Hazards and Earth System Sciences 12, no. 12: 3733-3752.
Andreas Gericke; Markus Venohr. Improving the estimation of erosion-related suspended solid yields in mountainous, non-alpine river catchments. Environmental Modelling & Software 2012, 37, 30 -40.
AMA StyleAndreas Gericke, Markus Venohr. Improving the estimation of erosion-related suspended solid yields in mountainous, non-alpine river catchments. Environmental Modelling & Software. 2012; 37 ():30-40.
Chicago/Turabian StyleAndreas Gericke; Markus Venohr. 2012. "Improving the estimation of erosion-related suspended solid yields in mountainous, non-alpine river catchments." Environmental Modelling & Software 37, no. : 30-40.
Nazzareno Diodato; Andreas Gericke; Gianni Bellocchi. Modelling the inter-annual variability of sediment yields: A case study for the upper Lech River. CATENA 2012, 97, 12 -19.
AMA StyleNazzareno Diodato, Andreas Gericke, Gianni Bellocchi. Modelling the inter-annual variability of sediment yields: A case study for the upper Lech River. CATENA. 2012; 97 ():12-19.
Chicago/Turabian StyleNazzareno Diodato; Andreas Gericke; Gianni Bellocchi. 2012. "Modelling the inter-annual variability of sediment yields: A case study for the upper Lech River." CATENA 97, no. : 12-19.
MONERIS is a semi‐empirical, conceptual model, which has gained international acceptance as a robust meso‐ to macro scale model for nutrient emissions. MONERIS is used to calculate nitrogen (N) and phosphorus (P) emissions into surface waters, in‐stream retention, and resulting loads, on a river catchment scale. This paper provides the first (i) comprehensive overview of the model structure (both the original elements and the new additions), (ii) depiction of the algorithms used for all pathways, and for retention in surface waters, and (iii) illustration of the monthly disaggregation of emissions and the implementation of measures. The model can be used for different climatic conditions, long term historical studies, and for future development scenarios. The minimum validated spatial resolution is 50 km2, with a temporal resolution of yearly or monthly time steps. The model considers seven emission pathways (atmospheric deposition on surface waters, overland flow, erosion, tile drainage, groundwater, emissions from sealed urban areas, and point sources), and six emission sources (natural background, fertilizer application, nitrogen atmospheric deposition on arable land and other areas, urban sources, and point sources); and these are calculated separately for different land‐uses. The pathway and source‐related approach is a prerequisite for the implementation of measures to reduce non‐point and point‐source emissions. Therefore, we have modified MONERIS by the addition of a “management alternative” tool which can identify the potential effectiveness of nutrient reduction measures. MONERIS is an appropriate tool for addressing the scientific and political aspects of river basin management in support of a good surface water quality. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Markus Venohr; Ulrike Hirt; Jürgen Hofmann; Dieter Opitz; Andreas Gericke; Annett Wetzig; Stephanie Natho; Franziska Neumann; Jens Hürdler; Marisa Matranga; Judith Mahnkopf; Mathias Gadegast; Horst Behrendt. Modelling of Nutrient Emissions in River Systems - MONERIS - Methods and Background. International Review of Hydrobiology 2011, 96, 435 -483.
AMA StyleMarkus Venohr, Ulrike Hirt, Jürgen Hofmann, Dieter Opitz, Andreas Gericke, Annett Wetzig, Stephanie Natho, Franziska Neumann, Jens Hürdler, Marisa Matranga, Judith Mahnkopf, Mathias Gadegast, Horst Behrendt. Modelling of Nutrient Emissions in River Systems - MONERIS - Methods and Background. International Review of Hydrobiology. 2011; 96 (5):435-483.
Chicago/Turabian StyleMarkus Venohr; Ulrike Hirt; Jürgen Hofmann; Dieter Opitz; Andreas Gericke; Annett Wetzig; Stephanie Natho; Franziska Neumann; Jens Hürdler; Marisa Matranga; Judith Mahnkopf; Mathias Gadegast; Horst Behrendt. 2011. "Modelling of Nutrient Emissions in River Systems - MONERIS - Methods and Background." International Review of Hydrobiology 96, no. 5: 435-483.
Andreas Gericke. Topographic uncertainty and catchment-based models. Desalination and Water Treatment 2010, 19, 149 -156.
AMA StyleAndreas Gericke. Topographic uncertainty and catchment-based models. Desalination and Water Treatment. 2010; 19 (1-3):149-156.
Chicago/Turabian StyleAndreas Gericke. 2010. "Topographic uncertainty and catchment-based models." Desalination and Water Treatment 19, no. 1-3: 149-156.
Beate Klöcking; Bernhard Strobl; Steffi Knoblauch; Uta Maier; Bernd Pfützner; Andreas Gericke. Development and allocation of land-use scenarios in agriculture for hydrological impact studies. Physics and Chemistry of the Earth, Parts A/B/C 2003, 28, 1311 -1321.
AMA StyleBeate Klöcking, Bernhard Strobl, Steffi Knoblauch, Uta Maier, Bernd Pfützner, Andreas Gericke. Development and allocation of land-use scenarios in agriculture for hydrological impact studies. Physics and Chemistry of the Earth, Parts A/B/C. 2003; 28 (33):1311-1321.
Chicago/Turabian StyleBeate Klöcking; Bernhard Strobl; Steffi Knoblauch; Uta Maier; Bernd Pfützner; Andreas Gericke. 2003. "Development and allocation of land-use scenarios in agriculture for hydrological impact studies." Physics and Chemistry of the Earth, Parts A/B/C 28, no. 33: 1311-1321.