E-Planner: a web-based tool for planning environmental enhancement on British agricultural land

Redhead, John W. ORCID: https://orcid.org/0000-0002-2233-3848; Burkmar, Richard; Brown, Mike ORCID: https://orcid.org/0000-0002-2996-0633; Pywell, Richard F. ORCID: https://orcid.org/0000-0001-6431-9959. 2022 E-Planner: a web-based tool for planning environmental enhancement on British agricultural land. Environmental Modelling & Software, 155, 105437. 11, pp. 10.1016/j.envsoft.2022.105437

Before downloading, please read NORA policies.

Preview

Text
N532960JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (5MB) | Preview

Official URL: http://dx.doi.org/10.1016/j.envsoft.2022.105437

Abstract/Summary

E-Planner is a free, web-based, application which provides land managers with fine-scale maps of the suitability of agricultural land in Great Britain for environmental enhancement. E-Planner is designed to streamline decision-making around the choice and spatial targeting of environmental management interventions. Suitability scores are calculated by integrating a range of biophysical data sets and presented as easy-to-interpret maps, at fine resolutions (5 m) equivalent to those used by precision agriculture technology. The information provided by E-Planner is important for landscape-to field-scale spatial targeting of farm management to maximise the efficiency of both crop production and environmental delivery. Whilst many datasets and tools support the former, equivalents for environmental factors are not widely available. The methods used by E-Planner for collating and presenting data on environmental constraints and drivers are widely applicable, and efficient spatial targeting of agronomic and environmental management forms an essential step towards sustainable agriculture, a global issue.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.envsoft.2022.105437
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-) Pollution (Science Area 2017-)
ISSN:	1364-8152
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	sustainable agriculture, decision support, fine resolution, precision agriculture, agri-environment
NORA Subject Terms:	Agriculture and Soil Science Computer Science Data and Information
Date made live:	20 Jul 2022 16:38 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532960

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.envsoft.2022.105437

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-)
Pollution (Science Area 2017-)

ISSN:

1364-8152

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

sustainable agriculture, decision support, fine resolution, precision agriculture, agri-environment