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Global assessment of vegetation patterns along topographic gradients

Authors :
Tianchen Liang
Feng Tian
Linqing Zou
Hongxiao Jin
Torbern Tagesson
Sabine Rumpf
Tao He
Shunlin Liang
Rasmus Fensholt
Source :
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Publication Year :
2024
Publisher :
Taylor & Francis Group, 2024.

Abstract

The complex topography in mountainous regions, exemplified by factors like slope aspect, leads to noticeable variations in vegetation patterns, which are fundamental for understanding mountain ecosystems. However, a consistent global-scale quantification of topography's influence on vegetation patterns is still lacking. Here, we utilize two phenological metrics as proxies for vegetation-maximum vegetation greenness and seasonal greenness amplitude-computed from Sentinel-2 images, to quantify differences across three topographic factors: slope aspect, steepness, and elevation within each 0.15°×0.15° mountain grid. Our mapping reveals clear geographic patterns indicating that topography strongly influences vegetation in arid and polar ecosystems, with an influence approximately 1.9 times higher than in temperate ecosystems. Topography is also important in humid regions, as demonstrated by diverse vegetation types growing on different slope aspects, steepness levels, and elevations. Additionally, the impacts of slope aspect, steepness, and elevation vary within the same region. In 25.9% of mountain grids, slope aspect causes the largest difference in vegetation patterns, while elevation and steepness account for 43.1% and 31%, respectively. Our study highlights the hotspot areas where topographic effects on vegetation patterns are most pronounced, enabling researchers to focus on these regions for better parameterization of Earth system models.

Details

Language :
English
ISSN :
17538947 and 17538955
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Digital Earth
Publication Type :
Academic Journal
Accession number :
edsdoj.11999c29f41435fb41c58d458083c22
Document Type :
article
Full Text :
https://doi.org/10.1080/17538947.2024.2404232