Great Crested Newt Risk Zones for Cumbria, UK, with Four Impact Categories
Updated 9d ago
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Description
Natural England's 2021 dataset categorizes areas in Cumbria, UK, into four zones based on great crested newt occurrence and development impact risk. Red zones contain key populations on a regional, national, or international scale, including designated Sites of Special Scientific Interest. The data is derived from multiple sources including Ordnance Survey, LCM land cover maps, and PondNet monitoring.
Use Cases
Prioritizing conservation efforts based on the red, amber, green, and white zone classifications described.
Conducting environmental impact assessments for proposed developments using the defined risk zones.
Modeling habitat connectivity for great crested newts based on the description of amber zones as important connecting habitat.
Informing local planning policy by identifying areas with key populations (red zones) and sparse distributions (green zones).
Strengths
Defines four specific risk categories (red, amber, green, white) with clear ecological criteria.
Integrates data from multiple authoritative sources including Ordnance Survey, Natural England, and the Freshwater Habitats Trust.
Includes a 500-meter buffer around specific SSSI units as mentioned in the description for red zones.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and spatial resolution are unknown, which may limit suitability assessment.
Last updated 2026-07-13 13:01:12.466236; freshness should be verified for current applications.
Provenance
Source
Natural England, with derived information from Ordnance Survey, NERC (CEH), Cranfield University (NSRI), and the Freshwater Habitats Trust.
Collection Method
Likely compiled from species surveys, land cover mapping (LCM2007, LCM2015), and designated site boundaries.
Time Range
Primary dataset dated 2021, incorporating source data from 2007 to 2020.
Freshness
Last updated 2026-07-13 13:01:12.466236
Geography
Cumbria, United Kingdom.
Contains multiple third-party licensor attributions and Crown Copyright; specific license terms are unknown and must be verified before use.