Estimating and modelling the resistance of nature to path erosion in Koli National Park, Finland

We studied the resistance of nature to trampling and path erosion in Koli National Park.The data are based on 201 field measurements of paths together with digital datasets in order to identify the main factors affecting path erosion.Additionally, the resistance of different forest types to trampling was studied.Models for path erosion were constructed in order to predict the width and depth of a path.Slope of the path and the number of visitors were the two main factors explaining width and depth.The lowest resistance areas were identified in rocky-site forest located on the hilltops, while the deepest paths were on moraine soils.Paths on meadows were highly resistant to trampling and the most resistance forest type was Oxalis-Myrtillus.The results of this study can be applied in national park management and can be the basis for the design of measures to reduce path erosion.By mapping the most sensitive areas, the path network can be planned to be sustainable.Recreational pressure can be redirected to more resistant areas or structures such as duckboard and stairs can be built to protect the most sensitive areas.Developed models can be used for testing where to place new paths in order to minimize path erosion.

Authors

Institutions

Publication Details

Journal
Työväentutkimus Vuosikirja
Published
2024-12-12
DOI
https://doi.org/10.60910/8jb6-ufnp
Citations
3
Primary Topic
Recreation, Leisure, Wilderness Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating and modelling the resistance of nature to path erosion in Koli National Park, Finland

Blas Mola‐Yudego, Mari Selkimäki
3 citations
Työväentutkimus Vuosikirja
Recreation, Leisure, Wilderness Management
article

Estimating and modelling the resistance of nature to path erosion in Koli National Park, Finland

Blas Mola‐Yudego, Mari Selkimäki
article en
3 citations

Abstract

We studied the resistance of nature to trampling and path erosion in Koli National Park.The data are based on 201 field measurements of paths together with digital datasets in order to identify the main factors affecting path erosion.Additionally, the resistance of different forest types to trampling was studied.Models for path erosion were constructed in order to predict the width and depth of a path.Slope of the path and the number of visitors were the two main factors explaining width and depth.The lowest resistance areas were identified in rocky-site forest located on the hilltops, while the deepest paths were on moraine soils.Paths on meadows were highly resistant to trampling and the most resistance forest type was Oxalis-Myrtillus.The results of this study can be applied in national park management and can be the basis for the design of measures to reduce path erosion.By mapping the most sensitive areas, the path network can be planned to be sustainable.Recreational pressure can be redirected to more resistant areas or structures such as duckboard and stairs can be built to protect the most sensitive areas.Developed models can be used for testing where to place new paths in order to minimize path erosion.

Työväentutkimus VuosikirjaVol. 16(3)
University of Eastern Finland (FI), Finland University (FI)
Life in Land
Openalex Percentile: Top 100%
Recreation, Leisure, Wilderness Management
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.

Estimating and modelling the resistance of nature to path erosion in Koli National Park, Finland — Blas Mola‐Yudego, Mari Selkimäki · Työväentutkimus Vuosikirja (2024) | TGRS Research Map | TGRS