Developing high-resolution above- and below-ground 3-D carbon maps for farm and land-D carbon maps

Stelina已经成功地获得了从2019年9月/10月开始的CENTA2博士培训计划的名额。PHD的目的是开发和评估可在农场和景观范围内应用的高分辨率地下和地上碳3D地图/模型的程序。预计该模型将有助于对自然资本的高分辨率评估，对不同农场做法对碳储存的影响的评估，并可能有助于为未来的农业环境监管提供信息。英国正寻求通过在农业和森林土地上储存更高水平的碳来减少温室气体(GHG)净排放量，从而将气候变化降至最低。温室气体排放是英国农村土地使用的最大负面环境影响，碳储存是自然资本的一种形式，已经为英国制作了1公里分辨率的土壤和地上碳储存地图(CEH 2018)。虽然有国家地图，但大多数土地管理决策是在农场或景观水平上做出的，1公里的分辨率不足以检查诸如植树、树篱扩张和保护性耕作等管理选择的影响(Upson等人)。2016年；Axe等人，2017年；Giannitsopoulos等人。2019年)。因此，本博士学位的目的是开发和评估利用数字技术创新和最新研究成果开发高分辨率地下和地上碳3D地图/模型的程序，并可应用于农场和景观规模(图1)。预期的模型将建立在土壤C模型的垂直分辨率为10厘米(Verones i等人使用的)的基础上。2014)，但提高水平分辨率，以便检查实地管理和树篱等景观特征变化的影响。这种地图/模型将有助于对自然资本的高分辨率评估，对不同农场做法对碳储存的影响的评估，并有助于为未来的农业环境法规提供信息。

Stelina has successfully secured a place on the CENTA2 Doctoral Training Programme starting in September/October 2019. The aim of the PhD is to develop and evaluate procedures for developing high resolution 3D map/models of below- and above ground carbon that can be applied at farm- and landscape scale. It is anticipated that the model will be useful in high-resolution assessments of natural capital, assessments of the effect of different farm practices on carbon storage, and could help inform future agri-environment regulations.The UK is seeking to minimise climate change by reducing net greenhouse gas (GHG) emissions by storing higher levels of carbon on agricultural and forest land. GHG emissions are the greatest negative environmental effect of rural land use in the UK, carbon storage is a form of natural capital, and maps of soil and above-ground carbon storage have been produced for England at 1 km resolution (CEH 2018). Whilst national maps exist, most land management decisions are taken at a farm- or landscape-level, and a 1 km resolution is insufficient to examine the effect ofmanagement options such as tree planting, hedgerow expansion, and conservation tillage (Upson et al. 2016; Axe et al., 2017; Giannitsopoulos et al. 2019). Hence the aim of this PhD is to develop and evaluate procedures for developing high resolution 3D map/models of below- and above ground carbon that uses innovations in digital technology and recent research results, and which can be applied at farm- and landscape scale (Fig 1). The anticipated model will build on a vertical resolution for soil C model of 10 cm (as used by Veronesi et al. 2014), but increase the horizontal resolution to allow the examination of the effect of changes in field management and landscape features such as hedgerows. Such a map/model will be useful in high-resolution assessments of natural capital, assessments of the effect of different farm practices on carbon storage, and could help inform future agri-environment regulations.