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

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

A new net mineralizable nitrogen assay improves predictions of floristic composition

Question: Can a simple measurement of nitrogen (N) availability be related to an ecologically relevant response, i.e. mean Ellenberg N indicator value (EN)? Location: UK (England,Wales and Scotland). Methods: Soil cores from a stratified sample of UK habitats were analysed for mineralizable N with a conventional incubation and a new flushing method, which uses a single mineral N extraction. Predictions of mean EN using mineralizable N and other soil measurements were assessed by fitting linear mixed-effect models, using the Akaike information criterion (AIC) as a measure of model parsimony. Results: Mineralizable N measurements using the flushing method described a component of the variation in mean EN that was more orthogonal to bulk soil properties such as moisture content, total N/C ratio and pH than that described by conventionally measured mineralizable N. Mineralizable N as measured using the flushing method improved the accuracy of predictions obtained using only bulk soil measurements, and appeared in the best two-term and threeterm models. Conclusions: Much of the variation in mean EN can be related to soil N/C ratio, pH or moisture content, but mineralizable N distinguishes variation in mean EN that is independent of these bulk soil properties. The new measure will be useful for studies of the exposure of plants to N, in particular when assessing N pollution effects on plant species composition

Report to NERC : InformaTec Soils : report for the InformaTec-Soils meeting at Defra, Nobel House, March 14th 2011

InformaTec is a 2-year, NERC-funded project that seeks to identify how to manage the increasing wealth of environmental data and information so that it can be transmitted, distributed, stored, archived, analysed and visualised, and in so doing, aims to recognise and develop opportunities for knowledge and technology transfer, both nationally and internationally. As such, InformaTec addresses a major objective of the NERC science strategy, namely, the “exploitation of technological advances to develop improved methods of monitoring environmental change.” InformaTec-Soils is one component of InformaTec; other aspects of the project focus on environmental monitoring, data standards, interoperability, and distributed computing. The specific aim of InformaTec-Soils is to draw together key players having interest in the collection and synthesis of large-scale soil data sets with a view to identifying what needs to be done to improve understanding of soil and environmental change. As part of the InformaTec-Soils initiative, a meeting of 24 experts from across the UK was convened at Defra, in London, on 14 March 2011. Through presentations, roundtable discussions and breakout groups, the meeting explored, current informatics, methodological and cultural challenges, and constraints, to the synthesis of UK and European soils data for understanding soil and environmental change. This report presents a vision for an ecosystems approach to soils and summarizes the conclusions and recommendations of the meeting held in London. As well as identifying opportunities for the soils community generally, the report will be presented to NERC to inform decisions on future funding. The authors of the report extend their gratitude to all who contributed to the meeting and the production of this report. The report identifies the following important research topics for soils: Key areas for research: 1) Framework development. 2) Quantifying the soil resource, stocks, fluxes, transformations and identifying indicators. 3) Valuing the soil resource for its ecosystem services and natural capital. 4) Developing management strategies and decision support tools. Within these 4 key areas for research we identify the following 5 major challenges that the NERC technologies theme should address: Major research challenges: 1. Ecosystem approach to national soil monitoring; how we measure and model at a range of scales. 2. Exploit new technologies for airborne, ground based sensor networks, and molecular biology techniques to link from structure through to function and on to service. 3. Develop data accessibility (via cloud), and integration by exploiting new data IT tools (eg Open MI) to support projects building exemplar or baseline data/models eg EVOp project (Community). 4. Decision support tools, simple, practical tools for people trying to utilize and visualise data for a range of common purposes (e.g. planning). 5. Pathways to ‘valuation’. How do you link users perceptions of value to the parameters created by the data and models? (e.g developing techniques from social–science research in terms of perceptions and value judgements). Some of the challenges and opportunities to arise from the meeting with regard to ‘Data Handling’ and ‘Measurement Methods and Technologies’ are identified in two appendices to the report

Soil physico-chemical properties 2007 [Countryside Survey]

This dataset consists of soil physico-chemical properties (pH, loss on ignition, bulk density, moisture content, carbon stock and concentration, total nitrogen, Olsen phosphorus) from soils sampled from up to 591 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology and Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey

Topsoil mineralisable nitrogen (mineral-N) data 2007 [Countryside Survey]

This dataset consists of measures of topsoil mineralisable nitrogen (Mineral-N) from soils sampled from up to 256 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology and Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey

Soil metals data 2007 [Countryside Survey]

This dataset consists of metal concentrations measured from soils sampled across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology and Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey

Soil invertebrate data 2007 [Countryside Survey]

This dataset consists of invertebrate (soil mesofauna) counts from soils sampled across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology and Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey