Sensor-based Geoinformatics (geosense), Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacherstr. 4, 79106 Freiburg, Germany
Viewed
Total article views: 2,163 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,864
221
78
2,163
141
66
86
HTML: 1,864
PDF: 221
XML: 78
Total: 2,163
Supplement: 141
BibTeX: 66
EndNote: 86
Views and downloads (calculated since 20 Feb 2024)
Cumulative views and downloads
(calculated since 20 Feb 2024)
Total article views: 1,649 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,472
132
45
1,649
94
49
68
HTML: 1,472
PDF: 132
XML: 45
Total: 1,649
Supplement: 94
BibTeX: 49
EndNote: 68
Views and downloads (calculated since 11 Nov 2024)
Cumulative views and downloads
(calculated since 11 Nov 2024)
Total article views: 514 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
392
89
33
514
47
17
18
HTML: 392
PDF: 89
XML: 33
Total: 514
Supplement: 47
BibTeX: 17
EndNote: 18
Views and downloads (calculated since 20 Feb 2024)
Cumulative views and downloads
(calculated since 20 Feb 2024)
Viewed (geographical distribution)
Total article views: 2,163 (including HTML, PDF, and XML)
Thereof 2,163 with geography defined
and 0 with unknown origin.
Total article views: 1,649 (including HTML, PDF, and XML)
Thereof 1,649 with geography defined
and 0 with unknown origin.
Total article views: 514 (including HTML, PDF, and XML)
Thereof 514 with geography defined
and 0 with unknown origin.
Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts...