Hedges and edges: landscape effects on forest biodiversity and ecosystem function.
Hedges and edges: landscape effects on forest biodiversity and ecosystem function.
批准号:
2287915
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
Forests represent the native climax vegetation of most of Britain and Europe, and are important both for the distinctive set of species they protect and the diverse range of important ecosystem services they provide. Forests are often highly fragmented, and recent conservation guidance argues that larger and better connected patches should be a goal; yet the effects of this patchiness on ecosystem function are poorly studied. This project will explore the effects of forest patch size and isolation -- and in particular of connecting features such as hedgerows or "stepping-stones" -- on the biodiversity of forest specialist taxa in a set of well-studied forest patches of known ages (the WrEN project). It may also be possible to augment this set of sites with additional ""experimental"" woodlots planted as part of farm woodland grant schemes, and other past forest planting initiatives. Remote sensing data will be explored both to measure connectivity, and to test potential links between multispectral reflectance patterns and forest tree composition and structural properties. In addition, the effect of forest patch properties on a subset of ecosystem functions and services will be explored, using surveys of edge-to-centre transects to parameterise models of patch size and biodiversity effects on e.g. above and below-ground carbon storage, and hydrological modulation. This in turn may be used to explore and model the scaling properties of biodiversity:ecosystem function relationships. The supervisory team is multidisciplinary, spanning spatial ecology and geography, with Forest Research as an industrial CASE partner. The work will provide experience in a range of research techniques ranging from field biodiversity surveying, through remote sensing and GIS work to ecosystem service modelling, and thus will provide excellent preparation for a career in research or management.
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