Grazing behaviour, urine composition and soil properties are key controls of N2O emission factors in the uplands

Lead Research Organisation: University of Leicester
Department Name: Sch of Geog, Geol & the Environment

Abstract

The aim of this project is to develop an improved understanding of the spatial and temporal interactions between grazing behaviour, forage selection, urine composition and edaphic conditions and to use the insights garnered to improve the accuracy of nitrous oxide (N2O) emission estimates from contrasting semi-improved and unimproved upland grazed pastures in the UK. This is of major importance because (1) urine patches are a significant source of N2O; ca. 19% of the total N2O losses from agriculture, and (2) N2O losses from upland systems are highly uncertain. Current methods of estimating emissions from urine patches ignore the effect that livestock diet, soil type, soil physico-chemical properties and climate have on N2O fluxes. For example, urine N content varies with protein intake, and the metabolic product in the urine (known to affect N2O production) is affected by what livestock graze. Vegetation in different upland areas varies enormously, with diet selection operating in both systems. Hence it is important to link urine composition to animal movement and diet selection.
Soils in the uplands are dominated by peats and podzols with high carbon content and low pH, influenced by cool, wet climates and topography. These factors will also exert systematic controls on rates of N2O fluxes which are likely to be exacerbated following urine deposition. Moreover, the vegetation in different upland areas influences stocking densities and the consequent potential for urine patch overlap, resulting in disproportionate N2O emissions in areas receiving high N loading rates. Soil in these areas can become compacted due to livestock trampling, reducing air filled pore space, increasing anaerobicity and enhancing conditions for N2O losses via denitrification. It is, therefore, essential to establish the relationships between urine composition (the result of grazing preference), soil type, soil physico-chemical properties (which might be influenced by topographic effects on hydrology) and climate in order to generate improved N2O flux estimates, emission factors and carbon footprints from livestock production.
We will address these knowledge gaps through a combination of:
i) Fine-scale mapping of 'static' factors controlling N2O fluxes, i.e. topography, soil type, vegetation type and soil compaction, using high resolution remotely sensed imaging over contrasting upland areas
ii) Mapping of the 'mobile' factors controlling N2O fluxes, i.e. measuring livestock movement and grazing patterns in these two grassland systems using GPS collars, and observing urination events
iii) Collection of urine from sheep grazing dominant vegetation types and relating the urine composition to dietary preference
iv) Measurement of N2O fluxes following the application of collected urine to soil under typical vegetation types, and calculation of robust urine direct N2O emission factors over a 12 month period
v) Conducting controlled replicated experiments to explore the factors controlling N2O fluxes from soil from contrasting field sites (e.g. changing urine composition, water content and levels of compaction)
vi) Developing a novel model framework to predict the statistics of animal occupancy and to integrate predicted urine emissions with spatial and temporal information of landscape-scale explanatory factors in order to quantify aggregate N2O emissions for upland pastures
Uniquely, we will gain improved understanding of the spatial and temporal interactions between grazing patterns, forage choice, urine composition, soil and climate factors and N2O fluxes in upland systems. Outputs from the project will be compared with IPCC Tier 1 and Tier 2 approaches for estimating N2O emissions from livestock grazing in the UK and provide the basis for robust and scientifically defensible alterations to standard inventory approaches, if required, along with inputs to carbon footprinting and to the spatial targeting of mitigation practices.

Planned Impact

The outputs of this research will impact on society and the economy by influencing the:
SCIENTIFIC COMMUNITY: Our research will inform scientists working in several areas of research e.g. livestock behaviour, grazing management, ruminant nutrition, GHG emissions and modelling. The unique synthesis of the information generated by this project bridges the gap between research which focusses on dietary preference, food production and nutrient/energy balances, and research which focusses on quantifying the impact of soil amendments on N2O emissions from soils. It will link dietary preferences to soil function in contrasting grassland upland pastures using monitoring and observation, mapping, field and laboratory based measurements, all synthesised in a spatially explicit model.
The project strengthens existing research links on GHG emissions and mitigation between Bangor and RRes-North Wyke, and initiates a new collaboration with Cranfield and Leicester Universities in highly complementary disciplines. Chadwick represents the UK in the Livestock Research Group of the Global Research Alliance on Agricultural GHGs. He also leads the UK GHG Platform project to Improve the Agricultural Greenhouse Gas Inventory for Nitrous oxide (http://www.ghgplatform.org.uk/). Cardenas is responsible for the collation and submission of the UK Agriculture GHG inventory. She is also part of the consortium project to deliver the new Tier 2 GHG inventory for agriculture. Perotto-Baldivieso has worked with GPS collars and spatial analysis in the Caribbean and the United States. He has been the president of the International Affairs Committee for the Society for Range Management (2008-2009). We will raise awareness of this project through these networks, and demonstrate the importance of moving to a more sophisticated approach to reflect the effect of dietary preference on direct N2O emissions.
Participation at International conferences will help communicate results and generate interest for future work. The Nitrogen Workshop (in2016/7) attracts researchers mostly from Europe on all aspects of nitrogen cycling, whilst the International Greenhouse Gases and Animal Agriculture Conference in Melbourne (2016) represent a tremendous opportunity to discuss initial research findings and project goals with researchers from outside Europe.
POLICY COMMUNITY: Results from monitoring of livestock movement at the field and landscape scale, offers the opportunity to explore where targeted mitigation strategies could be cost-effective, e.g. through the use of inhibitors to reduce N2O emissions from hot-spots, or through the frequent moving of feeders. Results could prove N2O emission factors (EFs) from urine to be much lower/larger than the IPCC value due to interactions of urine composition, soil properties and climate, with important policy implications re: improving national inventories.
As part of the GHG Platform, Chadwick and Cardenas are regularly invited to give oral presentations to various audiences; policy makers, farmers and industry, providing opportunities to communicate the findings of this project.
INDUSTRY: Research findings will be communicated to the livestock industry, which has set its own targets for GHG mitigation. Our results will be of interest to them, from an EF point of view, but also in terms of development of mitigation strategies, and in the carbon foot printing of their products for comparison with competing countries, such as New Zealand lamb.
WIDER COMMUNITY: A web page on the Bangor website will provide information on the project and its results. Different aspects of the project will be used for teaching at Bangor, Cranfield and Leicester, generating student projects, and will be presented at annual 'tours' of experiments at RRes-North Wyke and Bangor. We will also feature the project in School Science Week, using visualisation of animal 'movement's to stimulate wider discussion about livestock production and the environment.

Publications

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Description We have developed an "agent based" model of sheep movement and behaviour in upland pastures. This model is based on defining a set of rules governing where sheep are likely to go, driven by the availability of forage quality (as estimated from satellite-based vegetation characteristics), topography and the location of other sheep. We have also tried to model where sheep are likely to urinate. Urination is important because we believe that the nutrients contained in urine can trigger microbially-mediated nitrous oxide emissions. The model was developed using data collected in this project by Bangor and Swansea Universities from semi-improved pasture at the Bangor University farm in North Wales. In the last year we have extended this model to unimproved upland pasture - incorporating the relationships between nitrous oxide emission and urine deposition which were established using field and lab experiments by collaborators at Bangor and Rothamsted Research.
In 2019 we updated the rule set for the agent based sheep movement model which has improved model performance and have been working on a revised manuscript.
Exploitation Route So far, our work has shown that nitrous oxide emissions from upland pastures are low (as expected) but that emissions from urine patches can also be very low which undermines current emission factor estimates derived from lowland data. If confirmed, these data could have major implications for how future agricultural Greenhouse Gas inventories are compiled in the UK and elsewhere. Our ongoing modelling work now allows us to construct a landscape-level estimate of the spatial and temporal patterns of nitrous oxide emissions in upland environments. This is being refined via the incorporation of relationships obtained by our collaborators from manipulative experiments.
Sectors Agriculture, Food and Drink,Environment,Government, Democracy and Justice

URL http://uplands-n2o.bangor.ac.uk/
 
Title Agent-based model of sheep movement and urination in upland pastures 
Description The model has been developed in the NetLogo package. Code will be made available once the model has been fully developed and applied. 
Type Of Material Computer model/algorithm 
Year Produced 2018 
Provided To Others? No  
Impact The model will form the basis for a landscape level description of nitrous oxide emissions from sheep urine pastures in upland pastures. This will then be used to calculate overall emissions estimates. 
 
Title Single time point sampling of site characteristics, soil parameters and soil greenhouse gas emissions for extensive and intensive sheep-farming sites in North Wales and Devon, 2016 
Description The data pertains to a single time point 'snapshot' spatial sampling of site characteristics, soil parameters and soil greenhouse gas emissions for two sites (Extensive and Intensive). The extensively managed site ('Extensive'; 240-340 m above sea level; a.s.l.) consisted of an 11.5 ha semi-improved, sheep-grazed pasture at Bangor University's Henfaes Research Station, Abergwyngregyn, North Wales (53°13'13''N, 4°0'34''W). The intensively managed site ('Intensive'; on average 160 m a.s.l.) was a 1.78 ha sheep-grazed pasture located in south-west England, at the North Wyke Farm Platform (NWFP), Rothamsted Research, Okehampton, Devon (50°46'10''N, 30°54'05''W). At the Extensive site soil and gas sampling was conducted on 30th November 2016. At the Intensive site soil and gas sampling was conducted on 1st August 2016. The data contains: site characteristics including elevation, slope, compound topographic index, vegetation type or manure application, and sample point grid references; soil parameters including soil bulk density, soil percentage water-filled pore space, soil moisture, soil organic matter contents, soil pH, soil nitrate nitrogen concentration, soil ammonium nitrogen concentration, soil percentage total carbon contents, soil percentage total nitrogen contents, and carbon to nitrogen content ratio; and soil greenhouse gas flux data for nitrous oxide, carbon dioxide and methane. The study was conducted as a wider part of the NERC funded Uplands-N2O project and BBSRC-supported Rothamsted Research, North Wyke Farm Platform (Grant Nos: NE/M015351/1, NE/M013847/1, NE/M013154/1, BBS/E/C/000J0100, BBS/E/C/000I0320, BBS/E/C/000I0330). Quantifying the spatial and variability of the drivers of greenhouse gas emissions and their interactions in grazing systems is critical to improve our understanding of nitrous oxide, carbon dioxide and methane fluxes, enabling better estimates of aggregated greenhouse gas emissions and associated uncertainties at the landscape scale. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/f3118fa8-6bec-488b-9713-2415912b8b9e