Landscape linear feature data 2007 [Countryside Survey]

Brown, Mike ORCID: https://orcid.org/0000-0002-2996-0633; Bunce, R.G.H.; Carey, Peter; Chandler, Kathy; Crowe, Andrew; Maskell, Lindsay ORCID: https://orcid.org/0000-0003-4006-7755; Norton, Lisa ORCID: https://orcid.org/0000-0002-1622-0281; Scott, Rod; Scott, Andy; Smart, Simon ORCID: https://orcid.org/0000-0003-2750-7832; Stuart, Rick; Wood, Claire ORCID: https://orcid.org/0000-0002-0394-2998; Wright, Simon. Landscape linear feature data 2007 [Countryside Survey]. NERC Environmental Information Data Centre 24 March 2016, http://doi.org/10.5285/e1d31245-4c0a-4dee-b36c-b23f1a697f88 [Output (Electronic)]

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Abstract/Summary

This dataset consists of stock (length) data for landscape linear features across Great Britain in 2007. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 591 km squares, surveyed for the Countryside Survey long term monitoring project (note: not all surveyed squares contained linear features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology and Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.

Item Type:	Output (Electronic)
Electronic Identifier / URL / DOI:	http://doi.org/10.5285/e1d31245-4c0a-4dee-b36c-b23f1a697f88
Date made live:	25 Apr 2016 08:27 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/513369

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