Development of a modelling approach for conducting spatial assessments of future wildfire danger in Scotland. Deliverable 2.4b for the Project D5-2: Climate Change Impacts on Natural Capital. The James Hutton Institute, Aberdeen. Scotland

The purpose of this report is to present the results of spatial assessments of future fire danger in the Cairngorms National Park for the 2020 -2049 period, generated using a probabilistic fire danger model trained using historical fire data for different fuels and data layers of climatic projections. The aim of this report is to present the methods and data layers used to develop and validate the fire danger model and present and discuss the generated spatial assessment of fire danger within the Park. The report also provides a discussion on limitations of this modelling approach along with potential improvements and suggestions for next steps towards developing fire risk assessment frameworks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15794365
Primary Topic
Medieval European History and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a modelling approach for conducting spatial assessments of future wildfire danger in Scotland. Deliverable 2.4b for the Project D5-2: Climate Change Impacts on Natural Capital. The James Hutton Institute, Aberdeen. Scotland

Zenodo (CERN European Organization for Nuclear Research)
Medieval European History and Architecture
article

Development of a modelling approach for conducting spatial assessments of future wildfire danger in Scotland. Deliverable 2.4b for the Project D5-2: Climate Change Impacts on Natural Capital. The James Hutton Institute, Aberdeen. Scotland

article en

Abstract

The purpose of this report is to present the results of spatial assessments of future fire danger in the Cairngorms National Park for the 2020 -2049 period, generated using a probabilistic fire danger model trained using historical fire data for different fuels and data layers of climatic projections. The aim of this report is to present the methods and data layers used to develop and validate the fire danger model and present and discuss the generated spatial assessment of fire danger within the Park. The report also provides a discussion on limitations of this modelling approach along with potential improvements and suggestions for next steps towards developing fire risk assessment frameworks.

Zenodo (CERN European Organization for Nuclear Research)
James Hutton Institute (GB)
Climate action
Openalex Percentile: Top 50%
Medieval European History and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.