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LTLS: Analysis and simulation of the Long-Term / Large-Scale interactions of C, N and P in UK land, freshwater and atmosphere

LTLS: Analysis and simulation of the Long-Term / Large-Scale interactions of C, N and P in UK land, freshwater and atmosphere
LTLS:英国土地、淡水和大气中 C、N 和 P 的长期/大规模相互作用的分析和模拟
批准号:
NE/J011568/1
负责人:
Andrew Whitmore
金额:
$30.62万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
During recent decades and centuries, pools and fluxes of C, N and P in UK ecosystems have been transformed by the spread and fertiliser-based intensification of agriculture, by atmospheric pollution, and now by fossil-fuel induced climate change. We need to understand the processes that determine these effects, in order to improve the sustainability of agriculture, preserve carbon stocks, control the eutrophication of terrestrial and freshwater ecosystems, and reduce nutrient delivery to the sea and greenhouse gas emissions. Contemporary pools of C, N and P in soils and sediments reflect processes occurring on a range of timescales (up to 1000 years or more for organic matter turnover in soils) and also over a range of spatial scales. We propose research to address long-term, large scale processing of C, N and P in the environment. The principal objective is to account for observable terrestrial and aquatic pools, concentrations and fluxes of C, N and P on the basis of past inputs, biotic and abiotic interactions, and transport processes, in order to address the following scientific questions; 1. Over the last 200 years, what have been the temporal responses of soil C, N and P pools in different UK catchments to nutrient enrichment? 2. What have been the consequent effects on C, N and P transfers from land to the atmosphere, freshwaters and estuaries?3. How have terrestrial and freshwater biodiversity responded to increases in ecosystem productivity engendered by nutrient enrichment at different locations?We aim at an integrated quantitative description of the interlinked land and water pools and annual fluxes of C, N and P for the UK over time. Central to the project is the application, development and parameterisation of mechanistically-based models applicable over long timescales and at a broad spatial scale. The models will be designed to exploit the large number of existing biogeochemical data for the UK, with new targeted measurements to fill important gaps. A key ingredient is radiocarbon data for natural organic matter in soils and waters, which provide a unique means of estimating longer-term turnover rates of organic matter. The project is organised into seven workpackages, as follows.WP1 Data. This involves the collation and management of monitoring and survey data and literature searches. Data will be required for driving and parameterising models.WP2 New measurements. Gap-filling information will be obtained about C & N releases from fuels, soil concentrations of C, N, P, and radiocarbon, vegetation contents of C, N and P, a major effort on soil denitrification, riverine organic matter including radiocarbon contents.WP3 Atmospheric model. This will use a variety of data, and atmospheric physics, to describe N deposition at 5 km2 resolution for the UK from 1800 to the present, and take into account emissions from industry and agriculture.WP4 Terrestrial models. Models will be developed and parameterised to describe (a) biogeochemical cycling of C, N and P in natural and agricultural soils, simulating losses by gaseous evasion and solute leaching, and (b) physical erosion.WP5 Aquatic models. These will describe sediment transport of organic matter (including C, N and P), lake processing, denitrification, and groundwater transport. Point source inputs will be quantified.WP6 Integrated Model. The IM will bring together the models from WP3-5 within a grid-based hydrological system, applicable to the whole of the UK. Through the IM we will answer Questions 1 and 2, producing temporal and spatial terrestrial and aquatic outputs for representative catchments. The IM will include estimates of uncertainty and be applicable for future scenario analysis.WP7 Biodiversity. Model output from WP3-6 will be used to analyse terrestrial plant diversity and diatom diversity in lake sediments, thereby addressing Question 3.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/s00477-014-0851-1
发表时间: 2014-02
期刊: Stochastic Environmental Research and Risk Assessment
影响因子: 4.2
作者: [P. Harris;Annemarie L. Clarke;S. Juggins;C. Brunsdon;M. Charlton]
通讯作者: P. Harris;Annemarie L. Clarke;S. Juggins;C. Brunsdon;M. Charlton
DOI: 10.1016/j.scitotenv.2017.07.193
发表时间: 2017-12-31
期刊: The Science of the total environment
影响因子: --
作者: [Coleman K, Muhammed SE, Milne AE, Todman LC, Dailey AG, Glendining MJ, Whitmore AP]
通讯作者: Whitmore AP
DOI: 10.1038/s41893-018-0138-5
发表时间: 2018-09-01
期刊: NATURE SUSTAINABILITY
影响因子: 27.6
作者: [Balmford, Andrew, Amano, Tatsuya, Eisner, Rowan]
通讯作者: Eisner, Rowan
DOI: 10.1016/j.scitotenv.2018.03.378
发表时间: 2018-09-01
期刊: The Science of the total environment
影响因子: --
作者: [Muhammed SE, Coleman K, Wu L, Bell VA, Davies JAC, Quinton JN, Carnell EJ, Tomlinson SJ, Dore AJ, Dragosits U, Naden PS, Glendining MJ, Tipping E, Whitmore AP]
通讯作者: Whitmore AP
6
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