NERC Centre for Ecology & Hydrology
NERC Centre for Ecology & Hydrology
159 Projects, page 1 of 32
assignment_turned_in Project2019 - 2020Partners:NERC Centre for Ecology & Hydrology, UK CENTRE FOR ECOLOGY & HYDROLOGY, UK Ctr for Ecology & Hydrology fr 011219NERC Centre for Ecology & Hydrology,UK CENTRE FOR ECOLOGY & HYDROLOGY,UK Ctr for Ecology & Hydrology fr 011219Funder: UK Research and Innovation Project Code: NE/N005309/2Funder Contribution: 8,061 GBPSummary Soils sustain life through fulfilling vital functions that support and sustain our terrestrial ecosystems, grow our food, feed, fiber and wood; regulate the atmosphere; filter water; recycle waste; preserve our heritage; act as an aesthetic and cultural resource, and provide a vital gene pool and biological resource from which health resources such as antibiotics have been extracted. There is no major international policy directive on soil, and there is increasing recognition that soils and the functions they fulfill are under threat from over exploitation and climate change. Whilst competition over the way we use soil resources is increasing between food production, conservation and other applications such as engineering. Over the past five years the NERC Centre for Ecology and Hydrology and British Geological Survey have partnered with a number of other organizations to make soils data accessible to the general public using digital information platforms. The NERC MySoil app has the unique ability to crowd-source soil data, whilst the UK Soil Observatory web data portal was discussed by the new United Nations Intergovernmental Technical Panel on Soils as the future style of tool for disseminating soil information. This proposal seeks to build on this work, enhance our partnerships and develop the dialogue to drive the flow of knowledge within the agri-food, environmental, engineering, health and defence business sectors. One of this projects main objectives is to increase UK business competitiveness by enhancing the visibility and uptake of NERC data through our digital platforms, improving knowledge transfer, through targeting users with the appropriate information whilst also continuing to inform government policy. The digital platforms were developed by consultation with major stakeholders, such as devolved Government, but now, with an army of more than 30,000 dedicated MySoil users who view and upload data, we need to know who these people are, and how we can better serve them. This knowledge will help to inform the development of future NERC products to stimulate existing and new business opportunities. We seek to better position UK business to address the global challenges of soil degradation, for example, the Council on Foreign Relations reports that China's, 'economic rise, which has averaged around 10% annual GDP growth for the past decade, has come at the expense of its environment and public health.' China's food security is threatened by soil pollution impacting ~16% of land and ~20% of arable soil. This needs to be incorporated into national accounting so we understand the economic impacts of losses and uses. Moreover we seek to identify and understand opportunities where UK business can assist in providing information and technologies to address these issues, which are of major social and economic interest. We need to understand where the opportunities are, and how they can best be addressed with regard to soils. We believe there are new and emerging markets and applications for soils data in the engineering, health and defence sectors which we will identify and feedback into NERC. All the information we gain, will allow us to accelerate knowledge transfer and better inform NERC and our stakeholders through updating and guiding new products and tools to stimulate social and economic wellbeing.
more_vert assignment_turned_in Project2020 - 2026Partners:BBSRC, Butterfly Conservation, Rothamsted Research, Rothamsted Research, Finnish Environment Institute +14 partnersBBSRC,Butterfly Conservation,Rothamsted Research,Rothamsted Research,Finnish Environment Institute,Xi'an Jiaotong Liverpool University,UNR,UC,NERC Centre for Ecology & Hydrology,UK Ctr for Ecology & Hydrology fr 011219,Finnish Environment Institute,German Centre for Integrative Bio Res,University of Nevada Reno,German Ctr for Integ Biodiv Res (iDiv),UCCSN,Butterfly Conservation,UK CENTRE FOR ECOLOGY & HYDROLOGY,Xi'an Jiaotong Liverpool University,University of Nevada, RenoFunder: UK Research and Innovation Project Code: NE/V007548/1Funder Contribution: 902,701 GBPWith increasing recognition of the importance of insects, there are growing concerns that insect biodiversity has declined globally, with serious consequences for ecosystem function and services. Yet, gaps in knowledge limit progress in understanding the magnitude and direction of change. Information about insect trends is fragmented, and time-series data are restricted and unrepresentative, both taxonomically and spatially. Moreover, causal links between insect trends and anthropogenic pressures are not well-established. It is, therefore, difficult to evaluate stories about "insectageddon", to understand the ecosystem consequences, to devise mitigation strategies, or predict future trends. To address the shortfalls, we will bring together diverse sources of information, such as meta-analyses, correlative relationships and expert judgement. GLiTRS will collate these diverse lines of evidence on how insect biodiversity has changed in response to anthropogenic pressures, how responses vary according to functional traits, over space, and across biodiversity metrics (e.g. species abundance, occupancy, richness and biomass), and how insect trends drive further changes (e.g. mediated by interaction networks). We will integrate these lines of evidence into a Threat-Response model describing trends in insect biodiversity across the globe. The model will be represented in the form of a series of probabilistic statements (a Bayesian belief network) describing relationships between insect biodiversity and anthropogenic pressures. By challenging this "Threat-Response model" to predict trends for taxa and places where high-quality time series data exist, we will identify insect groups and regions for which indirect data sources are a) sufficient for predicting recent trends, b) inadequate, or c) too uncertain. Knowledge about the predictability of threat-response relationships will allow projections - with uncertainty estimates - of how insect biodiversity has changed globally, across all major taxa, functional groups and biomes. This global perspective on recent trends will provide the basis for an exploration of the consequences of insect decline for a range of ecosystem functions and services, as well as how biodiversity and ecosystem properties might be affected by plausible scenarios of future environmental change. GLiTRS is an ambitious and innovative research program: two features are particularly ground-breaking. First, the collation of multiple forms of evidence will permit a truly global perspective on insect declines that is unachievable using conventional approaches. Second, by validating "prior knowledge" (from evidence synthesis) with recent trends, we will assess the degree to which insect declines are predictable, and at what scales.
more_vert assignment_turned_in Project2019 - 2022Partners:Department of Irrigation and Drainage, Department of Irrigation and Drainage, UK Ctr for Ecology & Hydrology fr 011219, NERC Centre for Ecology & Hydrology, University of Putra Malaysia +9 partnersDepartment of Irrigation and Drainage,Department of Irrigation and Drainage,UK Ctr for Ecology & Hydrology fr 011219,NERC Centre for Ecology & Hydrology,University of Putra Malaysia,National University of Malaysia (UKM),University Putra Malaysia,UK CENTRE FOR ECOLOGY & HYDROLOGY,Humid Tropic Centre Kuala Lumpur (HTC),Northern University of Malaysia (UUM),Nat Hydraulic Res Inst Malaysia (NAHRIM),UKM,Utara University Malaysia (UUM),National Hydraulic Res Inst MalaysiaFunder: UK Research and Innovation Project Code: NE/S003177/2Funder Contribution: 338,064 GBPFlooding is a threat to communities in both Malaysia and the UK. Computer modelling is a widely used approach to working out which areas are vulnerable to flooding. This allows government agencies, NGOs and communities to work out how to invest time and resources to protect areas at risk. Understanding of the causes of flooding has increased rapidly in recent years. We now have good data on environmental factors like rain and temperature which can influence where floods will happen. There are now good models of climate change. If we work out where flooding is going to happen, computer models can now be used to work out how flood waters will move around cities and which buildings will flood. One problem that still remains is to include the complexities of real life in these models. We currently assume that the same flood will always lead to the same consequences. This makes models quicker to run, but we know it's not how flooding works. If floods occur just before harvests they can destroy entire crops, but if they occur when fields are empty the costs can be very low. If one flood follows another in quick succession, facilities like hospitals and power stations could remain damaged from the first flood, meaning that the second one has much greater impact on people's lives. With research into how communities are affected by flooding, which takes into account the timing of floods as well as how closely associated they are in time, a genuinely new approach to flood risk could be developed. Malaysia is a very good place to develop these models. Its economy is developing quickly, so new approaches have the opportunity to be tested in a changing environment. Similarly, climate in Malaysia includes monsoons, which are a good test of model ability for environmental modellers. From a development perspective, Malaysia is a success story which is rapidly transitioning towards developed status, but still has large numbers of people at risk and in large areas, development can be set back by severe floods. Lastly, following severe floods in 2014, there is a renewed interest in developing innovative flood risk approaches in Malaysia. Our approach to developing a new flood model in Malaysia would make use of the different experts in our group. Bringing together experts from the UK and Malaysia, both of which have invested significantly in flood research in the last decade, would allow us to combine skills from experts with different specialities. Our economists will use economic modelling to understand how different sectors of the economy might change in future and how they might be exposed to flooding. Our group's environmental scientists will use existing computer models of rivers to show where river levels are likely to become high enough to generate flooding. Our flooding engineers will apply new hydraulics models to show how flood waters move once they have left the rivers. Experts in combining computer model outputs will combine each of these into a new model of flood risks. This new model will be used to find the effects of scenarios (factors we can't control such as climate change and increasing urbanisation) and strategies (factors we can control such as new flood defences and warning systems) which will help to evaluate some of these strategies for their effectiveness and value for money. This will allow future flood planning to be better targeted within Malaysia. We hope that Malaysia will act as a good case study for this research and that it would be taken up by other countries in South East Asia and around the world.
more_vert assignment_turned_in Project2021 - 2023Partners:Naturalis Biodiversity Center, University of Sherbrooke, Fauna and Flora International, AU, University of Sherbrooke +14 partnersNaturalis Biodiversity Center,University of Sherbrooke,Fauna and Flora International,AU,University of Sherbrooke,CFS,Smithsonian Tropical Research Institute,STRI,UK CENTRE FOR ECOLOGY & HYDROLOGY,McGill University,FFI,UK Ctr for Ecology & Hydrology fr 011219,McGill University,Space For Life Museum Montreal,Naturalis Biodiversity Center,Space For Life Museum Montreal,Canadian Forest Service,NRCan,NERC Centre for Ecology & HydrologyFunder: UK Research and Innovation Project Code: NE/W004216/1Funder Contribution: 100,310 GBPInsects are the little things that run the world (E.O. Wilson). With increasing recognition of the importance of insects as the dominant component of almost all ecosystems, there are growing concerns that insect biodiversity has declined globally, with serious consequences for the ecosystem services on which we all depend. Major gaps in knowledge limit progress in understanding the magnitude and direction of change, and hamper the design of solutions. Information about insects trends is highly fragmented, and time-series data is restricted and unrepresentative, both between different groups of insects (e.g. lepidoptera vs beetles vs flies) and between different regions. Critically, we lack primary data from the most biodiverse parts of the world. For example, insects help sustain tropical ecosystems that play a major role in regulating the global climate system and the hydrological cycle that delivers drinking water to millions of people. To date, progress in insect monitoring has been hampered by many technical challenges. Insects are estimated to comprise around 80% of all described species, making it impossible to sample their populations in a consistent way across regions and ecosystems. Automated sensors, deep learning and computer vision offer the best practical and cost-effective solution for more standardised monitoring of insects across the globe. Inter-disciplinary research teams are needed to meet this challenge. Our project is timely to help UK researchers to develop new international partnerships and networks to underpin the development of long-term and sustainable collaborations for this exciting, yet nascent, research field that spans engineering, computing and biology. There is a pressing need for new research networks and partnerships to maximize potential to revolutionise the scope and capacity for insect monitoring worldwide. We will open up this research field through four main activities: (a) interactive, online and face-to-face engagement between academic and practitioner stakeholders, including key policy-makers, via online webinars and at focused knowledge exchange and grant-writing workshops in Canada and Europe; (b) a knowledge exchange mission between the UK and North America, to share practical experience of building and deploying sensors, develop deep learning and computer vision for insects, and to build data analysis pipelines to support research applications; (c) a proof-of-concept field trial spanning the UK, Denmark, The Netherlands, Canada, USA and Panama. Testing automated sensors against traditional approaches in a range of situation; (d) dissemination of shared learning throughout this project and wider initiatives, building a new community of practice with a shared vision for automated insect monitoring technology to meet its worldwide transformational potential. Together, these activities will make a significant contribution to the broader, long-term goal of delivering the urgent need for a practical solution to monitor insects anywhere in the world, to ultimately support a more comprehensive assessment of the patterns and consequences of insect declines, and impact of interventions. By building international partnerships and research networks we will develop sustainable collaborations to address how to quantify the complexities of insect dynamics and trends in response to multiple drivers, and evaluate the ecological and human-linked causes and consequences of the changes. Crucially, this project is a vital stepping-stone to help identify solutions for addressing the global biodiversity crisis as well as research to understand the biological impacts of climate change and to design solutions for sustainable agriculture. Effective insect monitoring underpins the evaluation of future socio-economic, land-use and climate mitigation policies.
more_vert assignment_turned_in Project2019 - 2021Partners:UK CENTRE FOR ECOLOGY & HYDROLOGY, UK Ctr for Ecology & Hydrology fr 011219, NERC Centre for Ecology & HydrologyUK CENTRE FOR ECOLOGY & HYDROLOGY,UK Ctr for Ecology & Hydrology fr 011219,NERC Centre for Ecology & HydrologyFunder: UK Research and Innovation Project Code: NE/P011551/2Funder Contribution: 50,415 GBPClimate change is already affecting the Earth's ecosystems. While most people think of increasing average temperatures when they think about climate change, recent years have shown us that even in the UK flooding and droughts are becoming more common, their effects devastating for many animals and plants. However, while the aboveground effects of these extreme weather events can clearly be seen, the carnage belowground remains hidden from our eyes. The soil is inhabited by millions of tiny creatures: a handful of soil can contain billions of bacterial cells, from tens of thousands of bacterial species, as well as hundreds of fungal species. The biomass of the microorganisms that live in the soil can even outweigh the biomass of the much larger animals that live on it! But these creatures are not immune to the consequences of drought and flooding. Especially bacteria don't cope very well with drought: they have semi-permeable cell walls and drought causes their cells to shrivel and die. After rewetting, they swell up and explode. Fungi, which perform many of the same functions as bacteria in the soil, are better able to cope with extreme drought than bacteria: they have stronger cell walls and are slower-growing than bacteria, which makes them more likely to resist stresses like drought. Flooding, in contrast, causes low oxygen conditions in the soil, which might be more favourable for bacteria, which are aquatic organisms, than for fungi. However, bacterial and fungal populations themselves consist of thousands of species, and these species might differ in their response to drought and flooding. But, we have very little idea of how bacterial and fungal populations are affected by these extreme weather events. Although soil bacteria and fungi are hidden beneath our feet, they perform functions that are crucial for the functioning of the Earth's ecosystems: they decompose organic matter, thereby releasing nutrients for plant growth. These are the processes that support all ecosystems on land, including the agricultural systems that produce our food. However, when bacterial and fungal populations are affected by extreme weather events, so will the processes that they perform, and these changes in processes can in turn affect aboveground plants and animals. So, these unseen organisms have the potential to make the consequences of extreme weather events that we can see with our eyes even worse. However, at present, we don't know how we can predict how changes in bacterial and fungal populations will result in a change in the processes that they perform. In this project, we will investigate how bacterial and fungal populations that live in the soil are affected by extreme weather events, and we aim to identify the traits that are responsible for this. For example, some groups of bacteria can form spores and thus survive a wide range of stresses, but there might be many other traits that can allow bacteria and fungi to cope with extreme weather events. We will use a unique experiment in which we subject soils from different climates across Europe not just to drought and flooding, but also to heatwave and freezing, and we will combine this with state-of-the-art DNA sequencing and bioinformatics to quantify bacterial and fungal response and to infer the traits responsible for this. In addition, we will measure how the processes that these organisms perform change with these extreme weather events. This work will result in fundamental knowledge on soil bacterial and fungal response to extreme weather events, and in a framework that allows us to predict how soils and their functioning will respond to extreme weather events. This knowledge is of the highest importance for adapting the Earth's ecosystems to climate change.
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