Resistance to perturbation in agricultural land: Can we identify and fingerprint functional soil conditions across scales?

GSTDTAP

项目编号	NE/P014364/1
	Resistance to perturbation in agricultural land: Can we identify and fingerprint functional soil conditions across scales?
	[unavailable]
主持机构	NERC Centre for Ecology and Hydrology
项目开始年	2016
	2016-11-01
项目结束日期	2018-10-31
资助机构	UK-NERC
项目类别	Research Grant
国家	英国
语种	英语
英文摘要	Managing the land sustainably is important to nature and human wellbeing. The way that agricultural land is managed, and the plant species which are grown on it, can influence biological, physical and chemical characteristics of soil, and affect its ability to recycle nutrients, grow crops, feed grazing animals, regulate water movement and store carbon. The effects of higher management intensity over an extended period of time (e.g. continuous cropping, increased use of fertilisers, higher grazer densities) is likely to degrade soil quality and reduce its ability to sustain the various services that it provides such as food production, water and nutrient cycling. Understanding how different agricultural land management practices may impact soil conditions is therefore important so that soil quality can be maintained or improved. Poor quality soils may also be more susceptible to perturbations such as flooding and drought. Since these climatic events are becoming more frequent in the UK, it is also vital that we recognise management practices and soil conditions that confer resistance to such perturbations. This project aims to identify the influence of plant composition, land management and soil type on soil characteristics considered as indicators of soil quality. It will use existing data from a UK-wide monitoring programme and create new data using archive soil samples to examine soil indicators (e.g. organic matter concentration) and biophysical resistance (e.g. soil aggregate stability) across the gradient from arable to semi-natural grassland management. This work will also evaluate whether combinations of soil quality indicators differ between climatic regions and soil types of the UK. Since the measurement of soil properties with extensive sampling can often require detailed, time-consuming and expensive laboratory analyses, there has been a drive towards the development and use of proximal approaches for measuring soil properties. These approaches include the use of spectral measurements, which examine the reflectance of different wavelengths of light from soil samples, and are used to derive calibrations which can be validated and use to estimate soil properties using the spectral information. Model calibrations will be derived for three different spectral methods and digital imagery, including spatial environmental data, and the utility and predictive ability of these approaches to fingerprint soil quality indicators compared. The methods using visible spectra and digital imagery will then be applied and field-tested, across landscape gradients and in field experiments, and appraised with regard to the cost and utility for estimating soil quality indicators across scales. This project will quantify how soil quality indicators are affected by environmental factors and how it changes across a gradient of agricultural land management, and identify conditions that determine the ability of different soils to resist and recover from perturbations. It will also test the ability of spectral measurements to fingerprint soil quality and resistance with the potential to provide a rapid evaluation of soil quality under different management practices. Overall, it will generate new scientific insight to inform the sustainable management of UK soils and provide practical tools to estimate soil functioning on agricultural land.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/86472
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	[unavailable].Resistance to perturbation in agricultural land: Can we identify and fingerprint functional soil conditions across scales?.2016.