4,663 research outputs found

    Modelling and simulating change in reforesting mountain landscapes using a social-ecological framework

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    Natural reforestation of European mountain landscapes raises major environmental and societal issues. With local stakeholders in the Pyrenees National Park area (France), we studied agricultural landscape colonisation by ash (Fraxinus excelsior) to enlighten its impacts on biodiversity and other landscape functions of importance for the valley socio-economics. The study comprised an integrated assessment of land-use and land-cover change (LUCC) since the 1950s, and a scenario analysis of alternative future policy. We combined knowledge and methods from landscape ecology, land change and agricultural sciences, and a set of coordinated field studies to capture interactions and feedback in the local landscape/land-use system. Our results elicited the hierarchically-nested relationships between social and ecological processes. Agricultural change played a preeminent role in the spatial and temporal patterns of LUCC. Landscape colonisation by ash at the parcel level of organisation was merely controlled by grassland management, and in fact depended on the farmer's land management at the whole-farm level. LUCC patterns at the landscape level depended to a great extent on interactions between farm household behaviours and the spatial arrangement of landholdings within the landscape mosaic. Our results stressed the need to represent the local SES function at a fine scale to adequately capture scenarios of change in landscape functions. These findings orientated our modelling choices in the building an agent-based model for LUCC simulation (SMASH - Spatialized Multi-Agent System of landscape colonization by ASH). We discuss our method and results with reference to topical issues in interdisciplinary research into the sustainability of multifunctional landscapes

    Managing Complexity in Modern Farming

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    Modern farming in Australia is no longer simple. Farms are large, multi-enterprise businesses underpinned by expensive capital investments, changing production technologies, volatile markets and pervasive regulation. The complexity of modern broadacre farming leads to the question: what is the nature of the relationship between farm business complexity and farm profitability? This study uses bioeconomic farm modelling and employs eight measures of complexity to examine the profitability and complexity of a wide range of broadacre farming systems in Australia. Rank order correlations between farm profitability and each measure of complexity show inconsistent relationships, although the most profitable farming systems are found to be reasonably complex on several criteria. Among the set of highly profitable systems are found some characterised by less complexity. Using the farmer’s annual hours worked as a measure of complexity that affects current farm management, the trade-off between profit and this measure of complexity is found not to be large. A case is outlined where the farmer’s annual hours worked could be reduced by 9 percent for a 3 percent reduction in farm profit. If farmers’ workloads are proving problematic now and in the future, then agricultural R&D, service delivery and policy development will need to focus much more on being highly attractive to time-poor farm managers.complexity, farm modelling, management, profitability, Farm Management,

    A Scientific Review of the Impact of UK Ruminant Livestock on Greenhouse Gas Emissions

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    Climate change is a subject of global environmental concern. The UK has seen a progressive strengthening of political resolve to address the problems associated with emissions of greenhouse gases (GHGs), principally carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Although agriculture globally, and ruminant livestock production in particular, is a net contributor to GHG emissions, generalizations about impacts on climate change often fail to distinguish between different systems of production, advances in technology, and the role of extensive grazing lands in contributing to ecological services and food production in situations where other forms of farming are impractical. Against this background, the overall aim of this review was therefore to conduct an independent desk-based analysis of the scientific evidence of the impacts of the UK’s forage-based livestock sectors (beef, sheep and dairy production) on emissions of the three main GHGs: carbon dioxide, methane and nitrous oxide. The study has been confined to impacts up to the ‘farm gate’ and it has examined and reviewed the evidence to answer the following questions: How do GHG emissions from UK beef, sheep and dairy production compare with the situation in other countries/regions, such as South America and NZ, and selected EU countries. Within the UK how do various intensive and extensive systems of dairy, beef cattle and sheep production compare in terms of their respective emissions balances? What are the research findings on measures that can or have been adopted to reduce net GHG emissions, and what is the potential for further adoption by the industry in the UK? What are the likely future impacts of climate change on the UK ruminant livestock industry, particularly in comparison with its competitors? Main findings: Total UK agricultural GHG emissions have decreased by 17% since 1990. Methane (CH4) emissions have decreased by 52% since 1990, through a combination of reduced livestock numbers and more efficient feeding. There is evidence that UK ruminant agriculture compares favourably with other countries, and that the rate of reduction of total agricultural GHGs in the UK in recent years has been similar to, or greater than, several competitor countries. There is a wide degree of uncertainty over the exact levels of emissions of N2O and evidence suggests that UK emissions are lower than those based on the IPCC methodology. The development of more precise GHG inventories will address these uncertainties. Increases in milk yields and technical feed improvements have been associated with reductions in GHG emissions per litre of milk. The UK beef sector has also benefited from technical feed improvements, and UK beef production, and increasingly also lamb production, is mainly carried out over a short production cycle; this contributes to reducing the GHG emissions per animal and thus per unit of output. Livestock in upland and marginal areas may be associated with high CH4 emissions per unit of output (due to relatively low quality forage) but low emissions per ha. Many of these areas also have a role in CH4 capture, and their management via low intensity beef and sheep grazing is also important in achieving wider agri-environmental objectives.Climate Change, Ruminant Livestock, Greenhouse Gases, UK, Agricultural and Food Policy, Environmental Economics and Policy, Livestock Production/Industries,

    Source-tracking cadmium in New Zealand agricultural soils: a stable isotope approach

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    Cadmium (Cd) is a toxic heavy metal, which is accumulated by plants and animals and therefore enters the human food chain. In New Zealand (NZ), where Cd mainly originates from the application of phosphate fertilisers, stable isotopes can be used to trace the fate of Cd in soils and potentially the wider environment due to the limited number of sources in this setting. Prior to 1997, extraneous Cd added to soils in P fertilisers was essentially limited to a single source, the small pacific island of Nauru. Analysis of Cd isotope ratios (ɛ114/110Cd) in Nauru rock phosphate, pre-1997 superphosphate fertilisers, and Canterbury (Lismore Stony Silt Loam) topsoils (Winchmore Research Farm) has demonstrated their close similarity with respect to ɛ114/110Cd. We report a consistent ɛ114/110Cd signature in fertiliser-derived Cd throughout the latter twentieth century. This finding is useful because it allows the application of mixing models to determine the proportions of fertiliser-derived Cd in the wider environment. We believe this approach has good potential because we also found the ɛ114/110Cd in fertilisers to be distinct from unfertilised Canterbury subsoils. In our analysis of the Winchmore topsoil series (1949-2015), the ɛ114/110Cd remained quite constant following the change from Nauru to other rock phosphate sources in 1997, despite a corresponding shift in fertiliser ɛ114/110Cd at this time. We can conclude that to the present day, the Cd in topsoil at Winchmore still mainly originates from historical phosphate fertilisers. One implication of this finding is that the current applications of P fertiliser are not resulting in further Cd accumulation. We aim to continue our research into Cd fate, mobility and transformations in the NZ environment by applying Cd isotopes in soils and aquatic environments across the country

    Decision Support for Temperate Grasslands: Challenges and Pitfalls

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    Key points Successful adoption of decision support tools (DS tools) to address grassland management issues requires careful attention in design to ensure ease-of-use, accuracy in prediction and the flexibility to simulate actual practices. DS tools must handle spatial variability and where possible include facilities for automatic sourcing of essential information for initialisation. Advances in the development of DS tools will depend on resolution of scientific issues in grassland biology including investment in dedicated experiments to determine parameter values for model equations. The use of mechanistic models, the integration of remote sensing technology and cooperation between research groups to develop modular simulation frameworks to share models will enhance the value of DS tools in grassland management

    Optimising the production and utilisation of forage for organic livestock (CTE0202)

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    On most organic farms in the UK, forages are fundamental to the application of organic farming practices, particularly where dairy cattle, beef cattle and/or sheep are the major enterprises. Methods used for the production, conservation and utilisation of these forage resources have a major influence on the productivity, efficiency and overall sustainability of organic farms. Forage management and utilisation also have a pivotal role in the maintenance of animal health and in the minimisation of environmental impacts associated with livestock farming. Specific objectives: 1. Extrapolating from published data, to review the requirements for energy and protein across the production cycle for organic milk, beef, lamb, pig and poultry production. 2. To predict the likelihood of meeting all or a minimum proportion of these requirements from a range of organically produced forages. 3. To examine the potential to adjust management or production system to achieve a better balance of nutrient supply and demand 4. To consider likely contribution from alternative forages, and protein sources, as home-grown feeds 5. To assess likely effects on animal health and product quality 6. To develop a database model to predict the potential output and benefits for organic farmers of implementing different options and strategies for forage production and utilisation 7. To determine the environmental losses and gains at each stage of production and utilisation 8. To provide specific guidelines for use by farmers, advisers and policymakers to maximise efficiency in the production and utilisation of forages within a range of organic livestock production systems. Overall, this body of work has indicated that a number of gaps in current knowledge exist such as: the particular suitability of diverse plants and animal genotypes for forage-based organic systems, methods for determining the nutritive value of organically produced forages, trace element nutrition of organic livestock and specific weed and pest control measures in organic crop production. Further dissemination of the outputs from this study, drawn from the five separate work packages in which the work was conducted, will help underpin the sustainability of the organic sector

    Bioenergy and Minigrids for Sustainable Human Development

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    Human-caused climate change and deep disparities in human development imperil a prosperous and just future for our planet and the people who live on it. Transforming our society to mitigate global warming offers an opportunity to rebuild energy systems to the benefit of those who are harmed by global inequality today. I examine this opportunity through the lens of two sustainable energy technologies: bioenergy and miniature electricity grids (minigrids). Bioenergy requires land to produce biomass and is inextricably connected to the surrounding environment, agricultural livelihoods, and food system. I apply data science tools to study aspects of land use and food security that may intersect with increasing bioenergy production. I assess the potential to use over one billion hectares of grazing land more intensively with an empirical yield gap analysis technique called climate binning. To clarify how agricultural and socioeconomic characteristics relate to national food security, I study the relative importance of several drivers using simple linear regressions with cross validation and random sampling techniques. Minigrids can supply clean, reliable electricity to un- and under-served communities, but small and hard-to-predict customer loads hamper their financial viability. To improve predictions of daily electricity demand of prospective customers, I test a data-driven approach using customer demographic surveys and machine learning models. I also investigate opportunities to grow loads by stimulating income-generating uses of minigrid electricity in twelve Nigerian agricultural value chains. I conclude by emphasizing the fundamental complementarity of energy and agriculture as change levers for human development, especially in rural communities with low energy access and high poverty. I also provide recommendations to support the effective use of energy to solve pressing agricultural problems and drive multiplicative human development benefits

    Modelling nitrous oxide emissions from mown-grass and grain-cropping systems : Testing and sensitivity analysis of DailyDayCent using high frequency measurements

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    The lead author, Nimai Senapati (Post doc), was funded by the European community’s Seventh Framework programme (FP2012-2015) under grant agreement no. 262060 (ExpeER). The research leading to these results has received funding principally from the ANR (ANR-11-INBS-0001), AllEnvi, CNRS-INSU. We would like to thank the National Research Infrastructure ‘Agro-écosystèmes, Cycles Biogéochimique et Biodiversité (SOERE-ACBB http://www.soere-acbb.com/fr/) for their support in field experiment. We are deeply indebted to Christophe deBerranger, Xavier Charrier for their substantial technical assistance and Patricia Laville for her valuables suggestion regarding N2O flux estimation.Peer reviewedPostprin

    ECOSSE: Estimating Carbon in Organic Soils - Sequestration and Emissions: Final Report

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    Background Climate change, caused by greenhouse gas ( GHG) emissions, is one of the most serious threats facing our planet, and is of concern at both UK and devolved administration levels. Accurate predictions for the effects of changes in climate and land use on GHG emissions are vital for informing land use policy. Models which are currently used to predict differences in soil carbon (C) and nitrogen (N) caused by these changes, have been derived from those based on mineral soils or deep peat. None of these models is entirely satisfactory for describing what happens to organic soils following land-use change. Reports of Scottish GHG emissions have revealed that approximately 15% of Scotland's total emissions come from land use changes on Scotland's high carbon soils; the figure is much lower for Wales. It is therefore important to reduce the major uncertainty in assessing the carbon store and flux from land use change on organic soils, especially those which are too shallow to be deep peats but still contain a large reserve of C. In order to predict the response of organic soils to external change we need to develop a model that reflects more accurately the conditions of these soils. The development of a model for organic soils will help to provide more accurate values of net change to soil C and N in response to changes in land use and climate and may be used to inform reporting to UKGHG inventories. Whilst a few models have been developed to describe deep peat formation and turnover, none have so far been developed suitable for examining the impacts of land-use and climate change on the types of organic soils often subject to land-use change in Scotland and Wales. Organic soils subject to land-use change are often (but not exclusively) characterised by a shallower organic horizon than deep peats (e.g. organo-mineral soils such as peaty podzols and peaty gleys). The main aim of the model developed in this project was to simulate the impacts of land-use and climate change in these types of soils. The model is, a) be driven by commonly available meteorological data and soil descriptions, b) able to simulate and predict C and N turnover in organic soils, c) able to predict the impacts of land-use change and climate change on C and N stores in organic soils in Scotland and Wales. In addition to developing the model, we have undertaken a number of other modelling exercises, literature searches, desk studies, data base exercises, and experimentation to answer a range of other questions associated with the responses of organic soils in Scotland and Wales to climate and land-use change. Aims of the ECOSSE project The aims of the study were: To develop a new model of C and N dynamics that reflects conditions in organic soils in Scotland and Wales and predicts their likely responses to external factors To identify the extent of soils that can be considered organic in Scotland and Wales and provide an estimate of the carbon contained within them To predict the contribution of CO 2, nitrous oxide and methane emissions from organic soils in Scotland and Wales, and provide advice on how changes in land use and climate will affect the C and N balance In order to fulfil these aims, the project was broken down into modules based on these objectives and the report uses that structure. The first aim is covered by module 2, the second aim by module 1, and the third aim by modules 3 to 8. Many of the modules are inter-linked. Objectives of the ECOSSE project The main objectives of the project were to: Describe the distribution of organic soils in Scotland and Wales and provide an estimate of the C contained in them Develop a model to simulate C and N cycling in organic soils and provide predictions as to how they will respond to land-use, management and climate change using elements of existing peat, mineral and forest soil models Provide predictive statements on the effects of land-use and climate change on organic soils and the relationships to GHG emissions, including CO 2, nitrous oxide and methane. Provide predictions on the effects of land use change and climate change on the release of Dissolved Organic Matter from organic soils Provide estimates of C loss from scenarios of accelerated erosion of organic soils Suggest best options for mitigating C and N loss from organic soils Provide guidelines on the likely effects of changing land-use from grazing or semi-natural vegetation to forestry on C and N in organic soils Use the land-use change data derived from the Countryside Surveys of Scotland and Wales to provide predictive estimates for changes to C and N balance in organic soils over time

    Ireland’s Rural Environment: Research Highlights from Johnstown Castle

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    ReportThis booklet gives a flavour of the current research in Teagasc Johnstown Castle Research Centre and introduces you to the staff involved. It covers the areas of Nutrient Efficiency, Gaseous emissions, Agricultural Ecology, Soils and Water quality
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