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Ibañez, M. |
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Ammonia and nitrous oxide emissions from grazing cattle in Kenya |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-27 |
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Fertilized crops and livestock management are the main anthropogenic sources of ammonia (NH3). Ammonia emissions imply a N loss from cropping systems and have negative effects on ecosystems and human health. In Africa, it is believed that a substantial proportion of NH3 emissions results from widespread livestock management, whereas inorganic fertilizers might be of low importance. However, there is a lack of information on the mechanisms underlying the NH3 emissions derived from livestock management. Use of passive sampling approaches may enhance our knowledge on NH3 emissions by allowing systematic ecosystem investigations at a low cost; however, these techniques have not been critically evaluated for the Tropics. The main goals of our study are 1) to assess the livestock influence on the emissions of NH3 in tropical ecosystems and 2) the evaluation of experimental techniques for estimation of NH3 emissions, which could be further implemented in Africa without investment in sophisticated analytical equipment.The study was carried out in October 2014 at the farm of ILRI (Nairobi, Kenya). Ammonia fluxes from a fenced plot occupied by a herd of cows during daytime was estimated by both 1) the micrometeorological mass balance integrated horizontal flux (IHF) method and 2) the Eddy-covariance (EC) technique (using a sonic anemometer and a highly sensitive fast response NH3 trace gas monitor). Passive flux samplers (PFS) internally coated with oxalic acid were installed at different heights in 1 central and 3 background masts. PFS were exchanged every 2 days and NH3 trapped was measured colorimetrically. Soil N2O emissions were also estimated by manual chambers every 48 h along with inorganic N contents in the topsoil.Contrary to our expectations, NH3 cow’s presence did not triggered NH3 emissions. Both IHF and EC showed very low NH3 emission values along the experiment, although sensitivity varied among methods (about 100 and 30 ng NH3 m-2 s-1 as obtained by the IHF method and EC, respectively). Heavy rainfall events (˃120 mm) may be responsible for lowered NH3 volatilization. Low soil nitrate concentrations, (<0.5 mg kg-1), suggested predominant N leaching after rainfall. Soil N2O emissions were negligible, showing a maximum of only 4.5 µg N-N2O m-2 h-1 during the first day. These preliminary results represent the first dataset of NH3 emissions under controlled conditions in tropical Africa, and provide the basis for further assessments of NH3 emissions and evaluations of techniques under different ecosystems and management scenarios. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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2142 |
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Mingelgrin, U. |
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Alternative Water Sources to Compensate For Loss of Water Availability to Agriculture due to Climate Change |
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2015 |
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TradeM International Workshop, Securing Food Using Non-Conventional Water Sources, 2015-02-24 to 2015-02-24 |
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2644 |
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Klosterhalfen, A.; Herbst, M.; Schmidt, M.; Weihermüller, L.; Vanderborght, J.; Vereecken, H. |
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AgroC – Development and evaluation of a model for carbon fluxes in agroecosystems |
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2015 |
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European GeoSciences Union (EGU), General Assembly 2015, 2015-12-04 to 2015-04-17 |
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2546 |
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Schaap, B.F.; Reidsma, P.; Verhagen, J. |
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Agro Climate Calendar, a simple methodology to identify local adaptation for farm objectives |
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2015 |
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Climate-smart agriculture 2015. Global Science Conference. Montpellier, France, 2015-03-15 to 2015-03-18 |
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MA @ admin @ |
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2796 |
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Rivington, M. |
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AgriMod – The Agricultural Modelling Knowledge Hub |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-49 |
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Agrimod serves as a central knowledge hub for information on agricultural modelling activities worldwide. The vision is to unite the agricultural modelling community by providing a platform whereby models can be showcased, their applications discussed and new collaborations built, streamlining the process by which new modelling activities are developed. Agrimod covers spatial scales from cells to globe, temporal scales from minutes to centuries. There is a limitless coverage of research issues, bounded only by their relevance to agriculture, as the platform is open-ended: details about models, data or case studies can be up-dated; issues or concepts can be raised and discussed. The scope is limited only by the willingness of users to participate. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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2164 |
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