Global analysis of slope of forest land

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Título:
Global analysis of slope of forest land
Autor: Lundbäck, Mikael
Assuntos: Administrativa enheter ; Administrativa gränser ; Administrative units ; Agricultural and Veterinary sciences ; Agriculture, Forestry and Fisheries ; Annan lantbruksvetenskap ; Areella näringar ; Biologi och ekologi ; Biota ; Boundaries ; cutting (forestry) ; Earth and Related Environmental Sciences ; Elevation ; Engineering and Technology ; Environmental Engineering ; Environmental Sciences related to Agriculture and Land-use ; Farming ; Fjärranalysteknik ; Forest Science ; forested land ; forestry ; FOS: Earth and related environmental sciences ; FOS: Environmental engineering ; Geologi ; Geology ; Geosciences, Multidisciplinary ; Geoscientific Information ; Geovetenskap ; Geovetenskap och miljövetenskap ; Höjd ; Höjddata ; Land cover ; Landtäcke ; Lantbruksvetenskap och veterinärmedicin ; Lantbruksvetenskap, skogsbruk och fiske ; management types ; Mark ; Markvetenskap ; method ; metod ; Miljö- och naturvårdsvetenskap ; Multidisciplinär geovetenskap ; Natural Sciences ; Naturresursteknik ; Naturvetenskap ; Other Agricultural Sciences ; Remote Sensing ; skogbevuxen mark ; skogshuggning ; skogsnäring ; Skogsvetenskap ; Soil ; Soil Science ; sustainable forestry ; Teknik
Notas: RelationTypeNote: IsReferencedBy -- 10.1093/forestry/cpaa021
RelationTypeNote: HasVersion -- 10.5878/e7e8-rz29
10.5878/e7e8-rz29
10.1093/forestry/cpaa021
Descrição: Forests of the world constitute one third of the total land area and are critical for e.g. carbon balance, biodiversity, water supply, and as source for bio-based products. Although the terrain within forest land has a great impact on accessibility, there is a lack of knowledge about the distribution of its variation in slope. The aim was to address that knowledge gap and create a globally consistent dataset of the distribution and area of forest land within different slope classes. A Geographic Information System (GIS) analysis was performed using the open source QGIS, GDAL, and R software. The core of the analysis was a digital elevation model and a forest cover mask, both with a final resolution of 90 metres. The total forest area according to the forest mask was 4.15 billion hectares whereof 82% was on slope less than 15°. The remaining 18% was distributed over the following slope classes, with 6% on a 15-20° slope, 8% on a 20-30° slope, and 4% on a slope >30°. Out of the major forestry countries, China had the largest proportion of forest steeper than 15° followed by Chile and India. A sensitivity analysis with 20 metres resolution resulted in increased steep areas by 1 percent point in flat Sweden and by 11 percent points in steep Austria. In addition to country-specific and aggregated results of slope distribution and forest area, a global raster dataset is also made freely available, to cover user-specific areas that are not necessarily demarcated by country borders. Apart from predicting the regional possibilities for different harvesting equipment, which was the original idea behind this study, the results can be used to relate geographical forest variables to slope. The results could also be used in strategic forest fire fighting and large scale planning of forest conservation and management. Raster dataset in GeoTIFF format. The data is unprojected (EPSG: 4326) and the resolution is 90 m at most, however the map-unit is degrees. Five files in total where the number in the filename indicates the proximity to the equator. File with number 1 covers the area from 0 to 49 degrees latitude, both north and south, number 2N covers latitude 50-59° north, number 2S covers latitude 50-59° south, number 3 covers latitude 60-69° north and number 4 covers latitude 70-79° north. The GeoTIFF files are in high resolution and are intended to be used with GIS software. We also provide PNG versions of the raster datasets, with XML geographic metadata, generated using GDAL in low resolution, to enable quick preview with a standard picture viewer. Det har tidigare inte funnits någon global, jämförbar data om terränglutningen i skogsmark. Studien bakom detta dataset har fyllt denna kunskapslucka och presenterar ett globalt rasterdata med lutning i skogsmark, uppdelat i fyra kategorier från relativt platt till mycket brant. För mer information se den engelska sammanfattningen och själva artikeln. Se engelsk beskrivning.
Editor: Swedish University of Agricultural Sciences
Data de criação/publicação: 2020
Idioma: Inglês

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Global analysis of slope of forest land

Lundbäck, Mikael

Swedish University of Agricultural Sciences 2020

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